Click here for more sample CPC practice exam questions with Full Rationale Answers

Practice Exam

Click here for more sample CPC practice exam questions and answers with full rationale

Practice Exam

CPC Practice Exam and Study Guide Package

Practice Exam

What makes a good CPC Practice Exam? Questions and Answers with Full Rationale

CPC Exam Review Video

Laureen shows you her proprietary “Bubbling and Highlighting Technique”

Download your Free copy of my "Medical Coding From Home Ebook" at the top right corner of this page

Practice Exam

2018 CPC Practice Exam Answer Key 150 Questions With Full Rationale (HCPCS, ICD-9-CM, ICD-10, CPT Codes) Click here for more sample CPC practice exam questions with Full Rationale Answers

Practice Exam

Click here for more sample CPC practice exam questions and answers with full rationale

Briefings on APCs, August 2016

CMS eases provider burden and reporting requirements in CLFS final rule

CMS issued a final rule in June to revamp the way it pays for tests under the Clinical Laboratory Fee Schedule (CLFS), though the agency has pushed the start date back a year and worked to ease administrative burden based on public comments.

"This, along with some other changes CMS finalized based on commenter concerns and additional analyses, is really good news for providers," says Jugna Shah, MPH, president and founder of Nimitt Consulting, Inc. "It’s all in the spirit of reducing provider burden."

Now starting January 1, 2018, CMS will base CLFS payments on the weighted median amount paid by private payers for the same services. Providers are hopeful that these new weighted median rates based on a different process from the existing CLFS updating process, which has remained relatively unchanged since its establishment in 1984, will result in more accurate rates, says Shah.

 

Applicability

In order to develop the new rates, CMS will require "applicable laboratories to report applicable information" to the agency.

An applicable lab is defined as one that receives at least $ 12,500 in payments under the CLFS, and more than 50% of Medicare revenue from laboratory and/or physician services over the data reporting period to report private payer rates and test volumes for laboratory tests.

These thresholds will exclude approximately 95% of physician office laboratories and 55% of independent laboratories from having to report information, along with just about all hospital labs, according to CMS.

The applicable information required to be reported is:

  • The payment rate that was paid by each private payer for each test during the data collection period
  • The volume of such tests for each such payer

 

CMS originally proposed to use Taxpayer Identification Numbers (TIN) to identify applicable laboratories, but in the final rule made a change to use National Provider Identifiers (NPI). In order to keep administrative burden at a minimum, CMS will continue to apply the reporting requirements at the TIN level, making those entities responsible for reporting all NPI-level information for its applicable laboratories.

CMS also clarified that the information that must be reported is tied to payments received, which means that if a claim was submitted but payment was not yet received or was denied, that data would not be reported to CMS.

The data reporting period has been shortened from one year in the proposed rule to six months in the final rule. The first data collection period is from January 1?June 30, 2016. That collected data will have to be reported to CMS from January 1?March 31, 2017.

CMS plans to follow this schedule for subsequent collecting and reporting periods, which will occur every three years for all CLFS tests except Advanced Diagnostic Laboratory Tests (ADLT), which will have more frequent data collection and updating.

CMS has defined an ADLT as a clinical diagnostic laboratory test that is covered under Medicare Part B and offered and furnished by only a single laboratory, and only sold for use by the original developing laboratory, or a successor owner.

The test must also meet the following criteria:

  • The test is an analysis of multiple biomarkers of DNA, RNA, or proteins combined with a unique algorithm to yield a single patient-specific result
  • the test is cleared or approved by the Food and Drug Administration (FDA)
  • the test meets other similar criteria established by the secretary of HHS

 

In response to public comments to the proposed rule, CMS changed the definition of ADLTs, which originally only included molecular pathology analysis and did not include protein-only based tests.

ADLTs have been established by the agency in order to recognize when a laboratory has expended all of the resources associated with a test, including development, marketing, and selling.

The $ 12,500 threshold for CLFS payments will not apply with respect to ADLTs. If a laboratory would otherwise meet the definition of applicable, excepting the $ 12,500 threshold, CMS will consider it applicable with respect to the ADLT and it must report the applicable information pertaining to the ADLT.

 

Payments and penalties

In order to slowly migrate current payment rates over to the new ones based on private payer data, CMS has built in safeguards to prevent payments from dropping more than a certain amount each year, says Shah, which is helpful for mitigating large financial swings. CMS finalized that payment for a test cannot drop more than 10% compared to the previous year for the first three years after the January 1, 2018 implementation, and not more than 15% in the subsequent three years.

For example, a test currently has a payment rate of $ 20, but the data from the first reporting period shows a weighted median private payer rate of $ 15. For the first year of implementation, instead of using the $ 15 payment, CMS would limit the reduction to $ 2, resulting in an $ 18 payment rate. Another 10% would be subtracted the next year, bringing payment to $ 16.20. CMS would continue to apply the maximum allowed percentage reduction until the payment reaches the weighted median of private payer rates.

Initial payment for new ADLTs will be based on the actual list charge of the test for three calendar quarters. CMS defines the list charge as the "publicly available rate on the first day the new ADLT is obtainable by a patient who is covered by private insurance, or marketed to the public as a test a patient can receive, even if the test has not yet been performed on that date."

After the first three quarters, the rate will be based on the weighted median of private payer rates and associated volume reported annually.

For new and existing tests which the agency has no applicable information to create the weighted median rate, the agency will use crosswalking or gapfilling methods.

CMS will also be able to impose civil monetary penalties to applicable laboratories that fail to report all applicable information or misrepresent or omit that data. The agency requires that all data be certified by the president, CEO, CFO, or an individual who has been delegated to sign for and directly report to one of those individuals.

In this final rule, CMS also agreed to release subregulatory guidance that will provide a list of HCPCS codes for which private payer rates should be submitted, which will be useful, says Shah, as this takes some of the guesswork out about which services or tests CMS is expecting to receive data.

CMS will use HCPCS G codes to identify new ADLTs and laboratory tests that are cleared or approved by the FDA. These would be temporary codes that would be in effect for up to two years, until a permanent HCPCS code is created or use of the temporary code is extended.

 

Editor’s note: For more information, see the fact sheet at www.cms.gov/Newsroom/MediaReleaseDatabase/Fact-sheets/2016-Fact-sheets-items/2016-06-17.html.

 

Billing therapy services in support of comprehensive APC services

by Valerie A. Rinkle, MPA

CMS’ Transmittal 3523, issued May 13, is the quarterly July 1 OPPS update. In this transmittal, CMS briefly mentions billing physical and occupational therapy and speech-language pathology services provided in support of or adjunctive to comprehensive APC (C-APC) services under revenue code 0940 (general therapeutic services) rather than the National Uniform Billing Committee?defined revenue codes for these services (i.e., 042x, 043x, and 044x, respectively).

CMS refers to these therapy services as "non-therapy outpatient department services." In addition, CMS says that these services should not be reported with therapy CPT® codes.

These therapy services have been packaged into C-APCs since the inception of these per-encounter/per-claim payments in 2015. Initially, CMS implemented 25 C-APCs in 2015 for device-intensive procedures. In 2016, the agency expanded the concept to 33 surgical and procedural C-APCs covering almost 700 CPT/HCPCS procedure codes in nine clinical families. It also added one C-APC to pay for ancillary services in the case of inpatient-only procedures performed on a patient who dies prior to being admitted as an inpatient (billed with modifier ?CA).

Another C-APC is for observation services when billed for eight or more hours, with either ED, clinic, or direct admit codes and no surgery service performed. These C-APCs are defined with status indicators J1 and J2. On these claims, there is one payment associated with one primary CPT/HCPCS regardless of the number of days for the encounter. All of the other charges and codes are billed on the claim. There are a few exceptions, such as non-OPPS services like ambulance and preventive services such as vaccines and mammography.

While the transmittal does not provide much explanation, it is assumed that this instruction follows CMS’ comment in the 2016 OPPS final rule, where CMS stated at 80 FR 70326 (emphasis added):

Payment for these non-therapy outpatient department services that are reported with therapy codes and provided with a comprehensive service is included in the payment for the packaged complete comprehensive service. We note that these services, even though they are reported with therapy codes, are outpatient department services and not therapy services. Therefore, the requirement for functional reporting under the regulations at 42 CFR 410.59(a)(4) and 42 CFR 410.60(a)(4) does not apply.

 

Therefore, according to this statement in the 2016 OPPS final rule, CMS intended to provide administrative relief to hospitals so that they would no longer have to report functional status HCPCS G codes and modifiers when these therapy services were provided in support of C-APC services and included on the same claim.

However, since January 1, the Integrated Outpatient Code Editor (I/OCE) claim edits continue to require reporting of functional status HCPCS G codes and modifiers if therapy CPT and revenue codes are reported. Changing the reporting of these therapy services from the usual revenue codes and CPT codes to revenue code 0940 and no CPT codes will no longer trigger the claim edits that require the reporting of functional status codes and modifiers. However, there seems to be even more behind this change.

 

Defining therapy services

CMS described these therapy services provided during the perioperative period or in support of observation as not the same therapy services discussed in section 1834(k) of the Social Security Act (SSA). This distinction is an important one, because therapy services that meet the definition of therapy services performed by therapists under a plan of care in accordance with sections 1835(a)(2)(C) and 1835(a)(2)(D) of the SSA are excluded from OPPS by statute and paid under the Medicare physician fee schedule.

CMS implies that therapy services performed during the same encounter as C-APC services, even when performed by licensed and credentialed therapists, do not meet that same statutory definition of therapy, namely due to not being under a plan of care. Therefore, CMS no longer wants these therapy services in support of C-APCs to be reported with the same revenue and CPT codes as that used for therapy provided under a plan of care, which are required to be billed as repetitive services on monthly claims. C-APC services are required to be on an outpatient hospital claim that includes all the other charges and codes for services performed during the same encounter that are supportive or adjunctive to the C-APC service.

The transmittal also refers to the status indicator for this revenue code (0940) being changed from B to N. Status indicator B means codes that are not recognized when submitted on an OPPS claim. One way to remember this is that B stands for "better code." Status indicator N means items unconditionally or always packaged, or stated another way, services never separately paid. Heretofore, status indicators were preserved for CPT/HCPCS codes and APC groupings and not assigned to revenue codes.

However, CMS maintains a list of packaged revenue codes. Previously, revenue code 0940 was not included in the list of packaged revenue codes (Table 4 in the 2016 OPPS final rule at 80 FR 70320). CMS appears to be changing revenue code 0940 to be included in the list of packaged revenue codes.

If the services are no longer to be reported with CPT codes, then this revenue code will become packaged. As is the case with all packaged revenue codes, if the service is defined by a CPT/HCPCS code, and all other CPT/HCPCS coding and NCCI policies are followed, the CPT/HCPCS codes should be reported in addition to the revenue code irrespective of the fact that the revenue code is packaged.

 

Setting a precedent

This transmittal is the first time that CMS appears to suggest that services that meet the definition of CPT/HCPCS codes should not be reported at all, even when all other CPT/HCPCS coding conventions and NCCI policies are followed; it appears to be a precedent for CMS.

Once this change occurs, CMS will not use hospital therapy cost center cost-to-charge ratios from hospital cost reports to reduce the billed charges for therapy under revenue code 0940, but rather hospitals’ "other" cost center cost-to-charge ratios. It will likely result in a mismatch of revenue and expense that could adversely impact future rate setting.

It is interesting to note that rehabilitation services are optional hospital services under CMS’ Conditions of Participation (CoP) at 42 CFR 482.56, which states:

Physical therapy, occupational therapy, speech-language pathology or audiology services, if provided, must be provided by qualified physical therapists, physical therapist assistants, occupational therapists, occupational therapy assistants, speech-language pathologists, or audiologists as defined in part 484 of this chapter.

 

There are a few services that CMS defines as "sometimes therapy services" which can either be performed by therapists or nurses, namely wound care services. The CoPs, which are different than conditions of payment, do not require a plan of care, but do require orders. Therefore, it appears that hospital therapy services can be provided without a plan of care, and presumably, these services are now packaged under OPPS and do not qualify for physician fee schedule payment. Requirements for therapy plan of care for coverage can be found at 42 CFR 410.61 and 42 CFR 424.24.

To implement this change, hospitals will likely have to duplicate therapy charges in the chargemaster under the different revenue code that would only be used for Medicare outpatients and not for Medicare inpatients, and commercial or Medicaid accounts that are not likely to follow this billing instruction. This implementation step will likely complicate charge capture and increase the likelihood of errors.

Providers should evaluate this CMS instruction and provide feedback to the agency. Consider the following:

  • Is this proposal more or less burdensome than continuing to report therapy under the current revenue codes and also reporting the functional status codes and modifiers?
  • Do hospitals currently develop plans of care for therapy, whether or not it is in support of a C-APC service?
  • Will it alleviate a different type of burden on therapists if plans of care are not required?

 

Providers should comment to CMS if this solution is more burdensome or creates more confusion. CMS may be able to find other ways to change the I/OCE edits for functional status codes and modifiers and allow therapy services to continue to be reported with the usual revenue codes and CPT codes.

One of the most significant impacts may be to the accuracy of future payment rates. If this instruction continues without change, then a fundamental principle of cost reporting and rate setting seems to have been changed. This new policy may create a critical precedent for future rate setting. If CMS does not hear from many providers, then it is not likely to change the requirement and providers will need to work toward implementation as of July 1.

 

Editor’s note: Rinkle is a lead regulatory specialist and instructor for HCPro’s Medicare Boot Camp®?Hospital Version, Medicare Boot Camp®?Utilization Review Version, and Medicare Boot Camp®?Critical Access Hospital Version. Rinkle is a former hospital revenue cycle director and has over 30 years in the healthcare industry, including over 12 years of consulting experience in which she has spoken and advised on effective operational solutions for compliance with Medicare coverage, payment, and coding regulations.

 

Challenges and opportunities in data analytics

Healthcare organizations have become mass gatherers of data. But without sophisticated analytics, integrated IT tools, and processes to mine that data, they may not be able to take advantage of it.

The 33 leaders who gathered for the HealthLeaders Media Revenue Cycle Exchange, held March 23?25 at the Fairmont Grand Del Mar in San Diego, discussed some of the challenges and opportunities they’ve identified within their organizations around data analytics, as well as the tools that help them maintain an effective revenue cycle.

 

Let the data do the talking

Popular wisdom says culture starts at the top?but data is another important catalyst for change. The ongoing managed Medicaid expansion is requiring organizations to collect more prior authorizations and precertifications, presenting a challenge for revenue cycle leaders. Changing the culture of the organization is often key to handling that challenge, and one way to make the change is through data, says Jane Berkebile, MA, CPAM, system vice president of revenue cycle for OhioHealth in Columbus.

One significant challenge for OhioHealth is educating physicians about the increased need for preauthorizations under managed Medicaid. In the past, many of these patient accounts were written off as charity care. However, Berkebile’s organization now needs to focus on the administrative requirements around Medicaid.

Educating OhioHealth’s 343 physician practices, as well as the employed specialists and primary care physicians, by showing them the importance of preauthorizations, has represented a change in culture.

"For communication with our physicians, clinicians, and administration, the best tool we have is to show them in the data what’s really happening," says Berkebile. Her organization’s data analytics team drills down to the information that impacts each department. Departments usually see the gross charge number and think they are doing well, she says.

However, if a department is not getting appropriate authorizations, it may not actually be getting paid that amount. Berkebile finds physicians in particular react positively to seeing data.

"If you show them the data and don’t preach to them, and let them discover the problem, you can get more positive reactions from the physician community," she says. Following the data trail can also help you avoid pitfalls, such as relying on anecdotes that may hide the actual problem.

"The tyranny of the anecdote will not be allowed in this organization," says Doug Robison, performance improvement leader for John Muir Health in Walnut Creek, California. "You have to back it up with data."

 

Turn data into information

Even data only goes so far?it needs to be turned into information, says Russ Weaver, vice president of revenue cycle/finance for Adventist Health System in Burleson, Texas, relating advice he once received.

"You will be more successful if you figure out how to turn data into information. When you’re given something, ask, ‘What does this tell me?’ "

It is important to get back to the root cause and have a sufficient level of detail to address change. As part of the transition to the Cerner Patient Accounting product, Adventist has taken the opportunity to review its processes and reporting. As part of this, Weaver is careful to avoid relying on anecdotal information.

"You can’t go to the director of patient accounts and say you think his or her department is doing something wrong without having meaningful data to back it up," he says.

Sometimes what seems like a data problem is really something else, so it’s important not to lose sight of the basics, such as whether your organization is collecting required data on the front end, according to Doug Brandt, CPA, associate chief financial officer for Truman Medical Centers in Kansas City, Missouri.

"We’re focused on capturing the data items that need to be captured. There is always some low-hanging fruit, so identify and fix that first, then move to the harder-to-fix items," he says.

For example, it is important for revenue cycle leaders to look at the root cause of things such as denials. Even if you are measuring all the right things, if something is not happening at the front end (for example, the registration department is not verifying the patient insurance), you are going to get denials. UnityPoint Health in Des Moines, Iowa, is using data to get to the root cause of denials.

"We’re using data to drive that change by having the service providers focus on getting it correct at the beginning, versus always having to do it on the back end," says Renee Rasmussen, CPA, MBA, FHFMA, vice president of revenue cycle for UnityPoint Health.

 

Ensure ‘clean’ data

Organizations that can’t trust their data might run into problems with data standardization. Alternatively, organizations can fall into the trap of having too much data, but not enough accountability. The first step to ensuring clean data is to assemble a group of stakeholders to determine what data is necessary and where it will come from, says Tammy Thomlison, chief revenue cycle officer for the University of Mississippi Medical Center in Jackson.

Her organization has set up a team to look at the data warehouse generated by Epic and agree, organizationwide, where they will pull data from.

"As an organization, we had to decide where we would pull certain information from the data warehouse, so that when we’re pulling reports we all get the same results," says Thomlison. Her team also uses the Qlik software to provide reporting options on top of the data warehouse. Having data in multiple systems and managing various interpretations of that data is a challenge for many organizations.

Systems must also ensure the data is clean once they have it, says Don Shaw, vice president of revenue cycle for Baton Rouge (Louisiana) General Medical Center. "Once you start pulling information, you find that sometimes you have surprises that you have to fix."

Revenue cycle leadership must hold itself to the same accountability standards it hopes to see from other departments. Data transparency is one way to increase collaboration and trust between the revenue cycle and clinical departments.

"I think it goes back to making sure our data is as accurate as possible. If other departments find differences or errors, we acknowledge that and go back and make those adjustments," says Rasmussen.

 

Measure the right things

The University of Chicago Medicine focuses more on internal benchmarks than external.

"Your benchmark is what you did last week. Now do better than that," says Charlie Brown, MBA, vice president of revenue cycle for The University of Chicago Medicine. "To really set those individual targets, you’ve got to measure against your own internal performance."

UnityPoint also focuses on internal benchmarks, but supplements them with HFMA’s MAP App, says Rasmussen. "We look at the key performance indicator of net revenue yield for our nine regions to really compare different areas."

The most important thing is to set your own benchmarks and targets, adds Berkebile. "By looking at your data and seeing where you are, you see the opportunities and continually set targets to improve your own data. We don’t try to match somebody else’s number?we continually work on improving our own performance."

Organizations need to avoid the pitfall of measuring the wrong things or being so inundated with data that they can’t make a decision.

"There are an endless number of things we can measure, and you don’t want to be playing a game of whack-a-mole where every time something pops up, you hit it and then another thing pops up," says Brandt. "It’s important to find the balance and identify where we need to drill and what we need to focus on."

 

Reporting modifiers for services performed in the postoperative period

Modifier -58 describes a staged or related procedure or service by the same provider during the postoperative period. For outpatient hospitals, the postoperative period is defined as the same service date.

Report modifier -58 to indicate the performance of a procedure or service during the same calendar day postoperative period. For example, a scheduled diagnostic procedure might be performed in the morning, resulting in the decision by the surgeon to perform an unscheduled therapeutic procedure on the same patient later on the same day.

Because hospital outpatient reporting represents services performed within a given 24-hour period or a range of dates, the original intent and use of modifier -58 is not altered for hospital outpatient reporting.

Modifier -58 indicates that the reported procedure is related to the original procedure, intended to be performed sometime in the future as a "staged" procedure, and may represent the following:

  • A procedure performed by the original surgeon or provider
  • A follow-up surgery more extensive than the original procedure
  • A therapy following a diagnostic surgical procedure

The use of the modifier -58 enables the fiscal intermediary or other payers/carriers to pay appropriately for the procedure per se and other associated postoperative services performed subsequent to the original procedure on the same calendar date (for outpatient hospital billing).

Modifier -58 is not used to report a related or unrelated procedure performed on the same date as the original procedure. To report this circumstance, use a different, more suitable modifier.

Also remember to check with your fiscal intermediary regarding local policy associated with the use of the modifier -58 for staged procedures on the same date.

 

Appropriate use of modifier -58

  • To report a secondary procedure that was staged or planned at the time of the original procedure
  • When the secondary procedure is more extensive than the original procedure
  • For therapeutic services following a diagnostic procedure
  • When performing a second or related procedure during the postoperative period
  • Bill modifier -58 with the subsequent performed procedure

Inappropriate use of modifier -58

  • Appending the modifier to services listed in CPT as multiple sessions (e.g., 67208, destruction of localized lesion of retina, one or more sessions)
  • For a service that is treating a complication from the original surgery (see modifier -78)
  • Unrelated procedures

 

For example, a spinal neurostimulator generator is inserted following the insertion of two neurostimulator leads and trial dosing performed earlier on the same calendar day.

Providers should report:

  • 63650, percutaneous implantation of neurostimulator electrode
  • 63650-59, percutaneous implantation of neurostimulator electrode?distinct procedural service
  • 63685-58, insertion of spinal neurostimulator pulse generator?staged or related procedure by the same physician during the postoperative period

 

Reporting modifier -78

Modifier -78 describes a return to the operating room for a related procedure during the postoperative period. For outpatient hospitals, the postoperative period is defined as the same service date.

Use modifier -78 to indicate that another procedure was performed during the postoperative period of the initial procedure that was performed earlier in the same day.

For example, an unscheduled breast lumpectomy may be performed after a breast biopsy that took place earlier on the same calendar day or postoperative control of bleeding may occur for a procedure performed earlier on the same calendar day.

Use of modifiers applies to services/procedures performed on the

HCPro.com – Briefings on APCs

Briefings on Coding Compliance Strategies, August 2016

Postoperative respiratory failure’s introduction into the CMS value-based reimbursement model

By Robert Stein, MD, CCDS, and Shannon Newell, RHIA, CCS, AHIMA-approved ICD-10-CM/PCS trainer

The accurate capture of acute respiratory failure has been a long-standing challenge for CDI programs. The accurate reporting of this condition as a post-procedural event can be even more difficult.

The importance of data quality for post-procedural acute respiratory failure will impact quality outcomes linked to reimbursement under the Hospital-Acquired Condition Reduction Program (HACRP), as well as the Hospital Value-Based Purchasing Program (HVBP), if language in the fiscal year (FY) 2017 IPPS proposed rule is finalized.

In this article we’ll provide insights into how clinical documentation and reported codes may impact payments, and guidance on some common CDI challenges to strengthen data quality.

 

Performance may impact reimbursement in FY 2018

A quality measure named Patient Safety Indicator (PSI) 11 has existed since 1998, when it was developed by the Agency for Health Care Research and Quality (AHRQ). The measure has been adopted for use by CMS and other comparative databases, such as the University HealthSystem Consortium and Healthgrades, to compare performance across hospitals.

If the proposed rule is finalized as written, how well your hospital performs on this measure will begin to impact hospital reimbursement under the two hospital pay-for-performance programs noted above. Reimbursement impact will begin in:

  • FY 2018 for the HACRP
  • FY 2019 for the HVBP

 

Performance for this measure will be assessed and scored, and the score will then be rolled into a weighted patient safety composite measure. Performance for the overall composite measure will then determine reimbursement impact. The name of this composite measure is the Patient Safety and Adverse Events Composite, previously known as the PSI 90 composite measure.

The Patient Safety and Adverse Events Composite measure was reviewed in last month’s column. What is important to note for PSI 11 is that performance for this measure will impact approximately 22% of the composite weight:

 

Data quality and PSI 11 performance

PSI 11 performance is determined by the diagnosis (ICD-10-CM) codes we submit on claims. This is a risk-adjusted measure evaluated using an observed over an expected ratio.

Discharges included in the measure:

  • All elective surgical discharges treated at the hospital are evaluated for comorbidities which impact the complexity of the patient mix and the associated expected rate of postoperative respiratory failure events

Identification of postoperative respiratory events:

  • Any discharge included in the measure which has one of the following ICD-10-CM codes on the claim triggers a reportable actual?or observed? postoperative respiratory failure event:

 

Additional details for key measure drivers can be found on review of PSI 11 specifications located on the AHRQ website at www.qualityindicators.ahrq.gov/Modules/psi_resources.aspx.

 

PSI 11 CDI vulnerabilities

In our review of thousands of medical records for hospitals across the country, we see common challenges which impact PSI 11 data quality. We discuss a few of the common questions we encounter below to assist your internal data quality efforts.

 

How do I recognize acute respiratory failure?

  • Acute respiratory failure is at the end of a continuum initiated by respiratory dysfunction resulting in abnormalities of oxygenation and/or carbon dioxide elimination
  • Acute on chronic respiratory failure is an exacerbation or decompensation of chronic respiratory failure

Clinical criteria to identify if not documented and/or to validate a documented diagnosis include:

  • The use of supplemental oxygen or non-invasive/invasive mechanical ventilation
  • Signs and symptoms indicative of increased work of breathing (e.g., dyspnea, tachypnea [respiratory rate greater than 28], respiratory distress, labored breathing, use of accessory muscles)
  • Impaired gas exchange, which may be identified by the following clinical indicators:

What is the definition of "prolonged" postoperative mechanical ventilation?

  • A code for mechanical ventilation (and intubation) should not be assigned postoperatively for mechanical ventilation when it is considered a normal part of surgery.
  • Prolonged mechanical ventilation should be reported for an extended period postoperatively. A general rule of thumb for extended is 48 hours with the start time as the time of intubation for the procedure. Provider documentation should support what appears to be an extended time, but is in fact unexpected given the procedure and/or patient complexity.

 

If the patient is extubated postoperatively, but continues to be treated with supplemental oxygen, when is a query for acute respiratory failure appropriate?

  • To determine if this represents acute respiratory failure the values for impaired oxygen exchange can be utilized, along with the amount of oxygen being administered to the patient.
  • The P/F ratio can be a helpful tool to identify respiratory failure criteria above for a patient receiving supplemental oxygen:
  • If an ABG test is not available, an estimated P/F ratio can be calculated:
  • An illustration of the calculation follows:
  • The P/F ratio is a useful tool to validate the presence of acute hypoxemic respiratory failure when patients are receiving supplemental oxygen.

 

When respiratory failure exists in a post-procedural patient, how do I determine if this is, and/or is not, related to the procedure?

  • Physician education to promote clear documentation which relates the respiratory failure to an underlying condition (e.g., COPD) and/or to a procedure, and/or to the anesthesia, is essential.
  • When such documentation is not clear, a documentation query or clarification is required.

 

In addition to the above, other record review findings which negatively impact PSI 11 data quality include:

  • Accurate reporting of mechanical ventilation duration:
  • Accurate selection of post-procedural respiratory failure as the principal diagnosis:

 

Summary

Value-based care will increasingly utilize claims-based measures to assess quality and cost outcomes linked to payment. To strengthen organizational performance for PSI 11, the following steps are suggested:

  • Establish synergy between the CDI program and quality department to support:
  • Promote point-of-care capture of risk-adjustment variables pertinent to PSI 11 performance:
  • Actively engage your CDI physician advisor with medical staff education and CDI record reviews to facilitate and promote accurate capture of documentation relevant to accurate cohort identification and risk adjustment

 

Editor’s note: Stein is associate director of the MS-DRG Assurance program for Enjoin, providing clinical insight and education as part of the pre-bill review process. He earned his CCDS credential in June 2013 and completed AHIMA’s ICD-10-CM/PCS coder workforce training in August 2013. Newell is the director of CDI quality initiatives for Enjoin. Her team provides health systems with physician-led education and infrastructure design to sustainably address documentation and coding challenges essential to optimal performance under value-based payments across the continuum. She has extensive operational and consulting expertise in coding and clinical documentation improvement, performance improvement, case management, and health information management. You can reach Newell at (704) 931-8537 or [email protected]. Opinions expressed are that of the authors and do not represent HCPro or ACDIS.

 

Using data to drive physician engagement

"You are your own best teacher," or so the old adage goes. Sure, goodies and gifts are great for recognizing high-quality documentation, but for CDI teams struggling to obtain physician buy-in, the best strategy may be found in their providers’ own records.

With pay-for-performance and other quality initiatives underway as a part of healthcare reform, physicians need to see how they are performing in real time. Showing them this data in comparison to their peers demonstrates through real numbers how they stack up, says ACDIS Advisory Board member Robin Jones, RN, BSN, CCDS, MHA/Ed, system director for CDI at Mercy Health in Cincinnati.

 

Query responses

Until recently, most providers were not interested in seeing how unanswered clarifications or conflicting DRG assignment affected metrics, Jones says. CDI programs traditionally measure overall success by tracking items such as:

  • Query rate (overall and by CDI specialist/physician)
  • Physician response rate (overall and by CDI specialist/physician)
  • Physician agreement rate (overall and by CDI specialist/physician)
  • CC/MCC capture rates
  • MS-DRG shifts
  • Case-mix index changes

This data isn’t often shown to physicians, and yet, since queries represent the single most important tool for CDI programs, gleaning patterns of information from them often illuminates opportunities for improved physician support. For example, a lack of response from a particular physician might represent an opportunity for education or a change in approach, or the need for a new method of communication (e.g., notifying the physician of an outstanding query through a phone call rather than email).

Mercy’s CDI program lists physicians’ clarification response rates and places them in physician lounges for all to see, says Jones. To keep the information anonymous, the CDI team assigns each physician a number so they can quickly and safely gauge how they are performing in comparison to their peers.

"When physicians see their rate is lower than their peers, they hurriedly find our CDI supervisor," Jones says.

Mercy also provides physicians with an individualized list of DRGs assigned to their patients, so they can cross-reference that information to their own private billing.

 

Case studies

CDI programs can elevate the importance of data by tying it to case studies?real scenarios relevant to patient care, says ACDIS Advisory Board member Karen Newhouser, RN, BSN, CCDS, CCS, CCM, CDIP, director of education at Med- Partners based in Tampa, Florida.

Additional elements

Show providers an example of poor documentation, then compare it to the same case with improved documentation and show how the improvement affects a variety of metrics, Newhouser says. Collectively, members of the ACDIS Advisory Board suggest sharing information regarding the following data points:

  • Severity of illness/risk of mortality (ROM)
  • Length of stay (LOS), average LOS, geometric mean LOS, and expected LOS
  • Readmission rates
  • Observed over expected mortality ratio

 

Be transparent so physicians can see the benefits?both financial and quality-related?of precise documentation, Newhouser says.

"Physicians need to know that the money is important if they want to have a hospital to practice in, updated equipment, and a paycheck," she explains. But, "it is imperative to remind them that while money is important, it is quality that must come first."

For each metric, consider the data for the facility as a whole, and compare it to other facilities within the system or region, says Michelle McCormack, RN, BSN, CCDS, CRCR, director of CDI at Stanford (California) Health Care. Sharing such information with the physicians illustrates how their documentation affects the larger hospital community.

Then, drill down into the data to identify individual metrics, comparing physicians against one another within the facility and within a particular specialty or service line, says McCormack.

 

External analysis

Beyond simply showing physicians the data, CDI teams must teach providers how documentation and coding affects their personal profile as well as their facility’s standing, says Judy Schade, RN, MSN, CCM, CCDS, CDI specialist at Mayo Clinic Hospital in Phoenix. A host of consumer websites cull data and employ a variety of algorithms to rank physicians and hospitals?many of these are well known, such as CMS’ Hospital and Physician Compare sites, Healthgrades, and Leapfrog.

Understand how those practicing within your facility measure up in these reports and share important milestones as necessary, Schade says. When positive shifts occur that correlate with documentation improvement focus areas, tout those accomplishments and acknowledge the role the physicians play.

"Physicians will be engaged if they understand how documentation and coding impacts their personal profile," Schade says. "Physicians are by nature competitive, and so they aim to be high achievers." CDI programs can use this to their advantage.

Nuanced details of these reports need analysis, warns Paul Evans, RHIA, CCS, CCS-P, CCDS, manager for regional CDI at Sutter West Bay in San Francisco.

For example, The San Francisco Chronicle recently published raw mortality outcomes data for the region. Since the paper did not understand how observed versus expected mortality plays a role in telling the story of a patient’s care, its analysis left a tertiary care center in the Sutter family looking as though it had worse mortality rates than its competitors despite the fact that it treated extremely sick patients, Evans explains.

"You have to be careful to compare apples to apples," Schade agrees.

With internal data in hand, Evans showed the high-level ROM of that facility’s patients and demonstrated that the facility actually outperformed its competitors.

"Unfortunately, you can’t explain statistics and ROM to the typical layperson, but you certainly can communicate it to your staff and to your physicians," Evans says.

 

Data discretion

Some data discretion may be warranted. Choose data elements that are most relevant to the CDI program’s goals at the time, as well as targeted to the specific physicians in the audience. Remember to share success stories with data elements as they are reached.

"CDI managers should consider all data points and make sure the numbers they present to the physician accurately represents the message they need to convey and targets the needs of the physicians themselves," says ACDIS Advisory Board member Wendy Clesi, RN, CCDS, director of CDI services at Enjoin.

For example, if a service line that has not been responding to queries begins to consistently increase its response rate, include the improvements in that response rate along with the other metrics you present, McCormack says.

"You want to select metrics that will allow you to see progress as well as areas of opportunity," she says.

It can be difficult to choose which data points to share, McCormack says, but sharing such concrete analysis leads to greater support from physicians overall.

 

Editor’s note: This article originally appeared in the CDI Journal. For any questions, contact editor Amanda Tyler at [email protected].

 

AHIMA pratice brief addresses clinical validity and coding compliance

 

We as coders, clinical documentation specialists, and compliance officers, are actively invested in coding compliance, aren’t we? AHIMA and ACDIS emphasize coding compliance in their codes of ethics. If we aren’t interested in coding compliance, why are we reading newsletters named Briefings in Coding Compliance Strategies and other similar publications?

Many coders I know code solely on what a doctor documents, claiming not to be physicians, nor having the authority to challenge a diagnosis or documented treatment by a provider.

In fact, AHIMA’s 2008 practice brief, Managing an Effective Query Process, emphasized that we should not query physicians if the clinical indicators do not support a provider’s documented diagnosis. This practice brief stated:

Providers often make clinical diagnoses that may not appear to be consistent with test results. Queries should not be used to question a provider’s clinical judgment, but rather to clarify documentation when it fails to meet any of the five criteria listed?legibility, completeness, clarity, consistency, or precision.

 

While AHIMA told us then not to query to ascertain clinical validity of documentation, the United States Department of Justice (DOJ), or Health and Human Services, must not have gotten the memo.

In June 2009, Johns Hopkins Bayview Medical Center, in Baltimore, Maryland, settled a False Claims Act case for $ 2.75 million. This happened after the DOJ said that the hospital’s "employees allegedly focused on lab test results which might indicate the presence of a complicating secondary diagnosis such as malnutrition or respiratory failure, and advised treating doctors to include such a diagnosis in the medical record, even if the condition was not actually diagnosed or treated during the hospital stay."

Baptist Healthcare Inc. and its affiliated hospitals near Louisville, Kentucky, paid $ 8.9 million in 2011 to settle a case involving the documentation, coding, and clinical validity of respiratory infections and inflammations, pulmonary edema, respiratory failure, and septicemia. These do not include the costs of attorneys, expert witnesses, and other intangibles expended in legal defense. Visit the DOJ’s website to learn more of these settlements: www.justice.gov.

The Medicare Provider Quarterly Compliance Newsletter then emphasized in July 2011 that providers and facilities are to determine the validity of documented acute respiratory failure, and when the clinical indicators are not present and emphasized, Recovery Audit Contractors had leeway to change a principal diagnosis based on provider documentation. This would happen if Recovery Audit Contractors believed that the clinical indictors did not support the documented diagnosis. Read the newsletter at http://tinyurl.com/jb5aauu, page 2.

AHIMA has since changed its tune. In its 2013 Query Practice Brief, AHIMA stated that a query is appropriate when the health record documentation "provides a diagnosis without underlying clinical validation."

The article adds the additional statement, "when a practitioner documents a diagnosis that does not appear to be supported by the clinical indicators in the health record, it is currently advised that a query be generated to address the conflict or that the conflict be addressed through the facility’s escalation process." Their sample escalation policy is available at http://tinyurl.com/2013AHIMAescalationpolicy.

AHIMA recently stepped this up a notch by publishing a clinical validation practice brief in the July 2016 Journal of the American Health Information Management Association, available to AHIMA members at http://tinyurl.com/2016AHIMAclinicalvalidation. I encourage you to get a copy from an AHIMA member or from your local medical library and to discuss this document with your compliance officer or attorney.

Given that AHIMA is one of the ICD-10-CM/PCS Cooperating Parties, their practice briefs are often quoted by the DOJ, and thus must be read closely, and if agreeable, incorporated into one’s compliance plan. Several points are made in this practice brief, most of which I agree with, but some of which I do not. These include:

 

Compliance

AHIMA states:

Compliance, whether it’s a formal compliance department that understands compliant coding or coding management performing quality audits, can support the clinical validation process. Compliance can assist in developing a standardized query policy that applies to all who perform the query process within the organization regardless of the department in which they are located.

 

I wholeheartedly agree; however, AHIMA does not articulate under what circumstances, or how, a facility can omit an ICD-10-CM code for a documented diagnosis that is re-authenticated by an authorized provider.

I personally believe that if recovery auditors can deny codes for documented diagnoses based on their clinical judgment, then facilities should be able to do the same, particularly if they believe that the code would not survive reasonable scrutiny. I wish that they had discussed this.

 

Clinical validation

AHIMA states, "it appears clinical validation may be most appropriate under the purview of the CDI professional with a clinical background," emphasizing that it is the coder’s role to become more clinically astute as to refer cases to a nurse or physician advisor as necessary.

I disagree to some extent. The ICD-10-CM Official Guidelines state that ICD-10-CM code assignment is a joint effort between the provider and the coder, not the provider and the CDI specialist or the CDI specialist and the coder. So, I believe that a properly trained and certified coder who is well versed in clinical terminology and definitions should be able to have the conversation with the provider alone and not have to delegate this to another individual that may not be as experienced. That said, if the coder is insecure with the situation, he or she should have a lifeline for clinical support as to ensure the validity of the documented diagnosis or treatment.

 

Referencing clinical criteria

AHIMA and Coding Clinic for ICD-10-CM both say that the Coding Clinic should not be referenced as a source for clinical criteria supporting provider documentation. I wholeheartedly agree, except in cases where no definition of a clinical term is available in the physician literature, such as with functional quadriplegia or acute pulmonary insufficiency following surgery or trauma.

For these two conditions, Coding Clinic and/or the ICD-10-CM Official Guidelines are the only sources for definitions as to ensure their validity. The most recent high-impact physician literature or textbooks should be referenced when defining other clinical conditions, or when defending claims of clinical invalidity. A physician advisor can point out which references are highly respected.

 

Coders and CDI defining diagnoses

AHIMA states:

Although it is tempting for CDI and coding professionals to define diagnoses for providers, doing so is beyond their scope. For example, it is not appropriate for a CDI or coding professional to omit the diagnosis of malnutrition when it is based on the patient’s pre-albumin level rather than American Society for Parenteral and Enteral Nutrition (ASPEN) criteria. Many practicing physicians have not adopted ASPEN criteria and there is no federal or American Medical Association (AMA) requirement stating that ASPEN criteria must be utilized by a physician in making the diagnosis of malnutrition.

While this is technically true, given that CDI and coding professionals are not licensed to practice medicine, nor are involved with direct patient care under most circumstances, they still should be their facility’s representatives to encourage the medical staff, as a whole, to adopt facilitywide definitions of challenging clinical terms (e.g., sepsis, malnutrition, acute respiratory failure). They should also monitor and encourage individual providers as they adopt these definitions in their documentation and escalate noncompliance with these definitions to physician advisors, compliance officers, or medical staff leadership.

While one physician may not use ASPEN, or the Academy of Nutrition and Dietetics criteria, to define and diagnose malnutrition, I challenge readers to find any support for pre-albumin or albumin as a current clinical indicator for malnutrition, or a more authoritative criteria than that of the nation’s premier association of dietitians and nutritional support teams in defining, diagnosing, and documenting malnutrition in the adult and pediatric population.

 

Multiple-choice queries

AHIMA appears to have changed the language for multiple-choice queries with this practice brief, especially when clinical validity is an issue. In an example for validating documented sepsis without apparent clinical indicators, they offered the following multiple-choice options:

  • Sepsis was confirmed
  • Sepsis was ruled out
  • Sepsis was without clinical significance
  • Unable to determine
  • Other ______________

Given that this is AHIMA’s query format, we’re obligated to consider it; however, this does cause some difficulties. What can a coder do with "sepsis was without clinical significance" or "unable to determine," if that’s the option the provider selects? If "sepsis was without clinical significance" is selected, do we not code it with the belief that the documented condition doesn’t qualify as an additional diagnosis as defined in the ICD-10-CM guidelines? How many of us have run into physicians who document "unable to determine" as a way of avoiding the question?

I believe that if any of these two options are chosen, then the record should be escalated to a physician advisor or coding manager who implements the facility’s policy of coding the documented diagnosis without defendable clinical indicators.

 

Clinical validation auditing

AHIMA states, "auditing a small sample (e.g., 15 records per year) of coded records by each coding professional (both contract and employed) is one way to ensure that each coding professional is given some education on clinical validation."

While true, I believe that these audits should include CDI specialists, given that many are not members of AHIMA and may not read AHIMA practice briefs, much less believe that they apply to them. AHIMA does emphasize their position as one of the four Cooperating Parties for ICD-10-CM/PCS and that this brief is "relevant to all clinical documentation improvement professionals and those who manage the CDI function, regardless of the healthcare setting in which they work or their credentials."

 

Summary

In conclusion, please be sure to read this practice brief and consider how this affects your organization. Given that there are no standard definitions for at-risk ICD-10-CM/PCS terminology published by any of the Cooperating Parties or payers, and given that medical terminology used in documentation should be defined by physicians and their professional organizations, I encourage all facilities to engage with their medical staff to provide indicators for the clinical terminologies most often challenged by payers.

I also would encourage facilities to develop and implement policies that ensure their validity prior to any submission of HIPAA transactions sets with appropriate boundaries and limits.

 

Editor’s note: Dr. Kennedy is a general internist and certified coder, specializing in clinical effectiveness, medical informatics, and clinical documentation and coding improvement strategies. Contact him at 615-479-7021 or at [email protected]. Advice given is general. Readers should consult professional counsel for specific legal, ethical, clinical, or coding questions. For any other questions, contact editor Amanda Tyler at [email protected]. Opinions expressed are that of the author and do not necessarily represent HCPro, ACDIS, or any of its subsidiaries.

 

CMS releases 2017 ICD-10-CM codes

CMS has released the final list of new and revised ICD-10-CM codes available for reporting beginning October 1, 2016, with more than 2,000 changes.

The files include the code descriptions in tabular order, as well as an updated index and tables for neoplasms and drugs.

HCPro.com – Briefings on Coding Compliance Strategies