AHIMA CDIP - Certified Documentation Integrity Practitioner

An open-ended query is a type of query that allows the provider to respond with free text, rather than choosing from a list of options or answering yes or no. An open-ended query is appropriate when the CDIP is looking for clarity on whether a diagnosis has been “ruled in” or “ruled out”, because it allows the provider to document the final diagnosis or impression based on the clinical evidence and reasoning. An open-ended query also avoids leading or suggesting a specific diagnosis to the provider, which could compromise the integrity and validity of the documentation. (Guidelines for Achieving a Compliant Query Practice (2019 Update) - AHIMA1)

References:

Guidelines for Achieving a Compliant Query Practice (2019 Update) - AHIMA1

According to the AHIMA CDIP Exam Preparation Guide, a query is a communication tool or process used to clarify documentation in the health record for documentation integrity and accurate code assignment1. A query should be clear, concise, and consistent, and should include relevant clinical indicators that support the query1. A query should also provide multiple choice answer options that are supported by clinical indicators and include a non-leading query statement2. In this case, the patient has a large right lung pleural effusion related to lung cancer stage II, which is documented multiple times. However, the documentation does not specify whether the pleural effusion is malignant or not. A malignant pleural effusion is a condition where cancer cells spread to the pleural space and cause fluid accumulation3. A malignant pleural effusion is a major complication or comorbidity (MCC) that affects the severity of illness (SOI) and risk of mortality (ROM) of the patient, as well as the reimbursement and quality scores of the hospital4. Therefore, a post discharge query opportunity should be sent to the physician to clarify whether the pleural effusion is malignant or not, based on the clinical indicators such as chest x-ray, thoracentesis, and fluid analysis. The query should provide answer options such as malignant pleural effusion, non-malignant pleural effusion, unable to determine, or other. The other options are not correct because they either do not affect the SOI/ROM of the patient (A and C), or they do not address the specificity of the diagnosis (D). References:

CDIP Exam Preparation Guide - AHIMA

Guidelines for Achieving a Compliant Query Practice (2019 Update) - AHIMA

Malignant Pleural Effusion: Symptoms, Causes, Diagnosis & Treatment

Q&A: Coding for malignant pleural effusions | ACDIS

Creating policies and procedures for the query process will help eliminate confusion among CDI staff, providers, coders, and other stakeholders regarding the purpose, scope, format, and expectations of the query process. Policies and procedures should be based on industry standards and best practices, and should be reviewed and updated regularly.

References: AHIMA/ACDIS. “Guidelines for Achieving a Compliant Query Practice (2019 Update).” Journal of AHIMA 90, no. 2 (February 2019): 20-29.

According to the AHIMA CDIP Exam Preparation Guide, a query is a communication tool or process used to clarify documentation in the health record for documentation integrity and accurate code assignment1. A query should be clear, concise, and consistent, and should include relevant clinical indicators that support the query1. A query should also provide multiple choice answer options that are supported by clinical indicators and include a non-leading query statement2. In this case, the CDIP queried the physician to clarify the current acuity of the diagnosis of chronic systolic heart failure, based on clinical indicators suggestive of an exacerbation of systolic heart failure. The subsequent documentation in the health record that suggests the provider did not understand the query is A. The patient has chronic systolic heart failure. This documentation does not address the query or provide any additional information about the patient’s condition. It simply repeats the same diagnosis that was already documented in the progress note. This documentation does not reflect the patient’s true severity of illness, risk of mortality, or reimbursement3. The other options are not correct because they do provide some information about the current acuity of the diagnosis of chronic systolic heart failure, such as acute on chronic, exacerbation, or decompensation. These terms indicate a higher level of severity and complexity than chronic alone. References:

CDIP Exam Preparation Guide - AHIMA

Guidelines for Achieving a Compliant Query Practice (2019 Update) - AHIMA

Severity of Illness: What Is It? Why Is It Important? | HCPro

[Q&A: Acute on chronic versus decompensated heart failure | ACDIS]

According to AHIMA, clinical documentation is at the core of every patient encounter and it must be meaningful to accurately reflect the patient’s disease burden and scope of services provided. In order to be meaningful, the documentation must be clear, consistent, complete, precise, reliable, timely, and legible1. Reliability is one of the criteria for clinical documentation that means the content of the record is trustworthy, safe, and yielding the same result when repeated1. Reliability ensures that the documentation is consistent with the clinical evidence and reasoning, and that it can be verified by other sources or methods. Reliability also implies that the documentation is free from errors, omissions, contradictions, or ambiguities that could compromise its validity or usefulness1.

References:

Clinical Documentation Integrity Education & Training | AHIMA1

 Severity of illness (SOI) and risk of mortality (ROM) are two metrics that measure the complexity and acuity of a patient’s condition, based on the number, nature, and interaction of complications and comorbidities (CCs) and major CCs (MCCs). SOI reflects the extent of physiologic decompensation or organ system loss of function, while ROM reflects the likelihood of dying. Both SOI and ROM are divided into four levels: minor, moderate, major, or extreme. These metrics are used to adjust payment rates, quality indicators, and performance measures for hospitals and other healthcare providers.

If a CDIP stops reviewing any record after a major CC is found, they may miss other CCs or MCCs that could affect the patient’s SOI and ROM levels. For example, a patient with pneumonia and sepsis would have a major CC (pneumonia) and an MCC (sepsis). If the CDIP stops reviewing the record after finding pneumonia, they would not capture sepsis, which would increase the patient’s SOI and ROM levels from major to extreme. This would result in underreporting the patient’s true complexity and acuity, and potentially lead to lower reimbursement, lower quality scores, and higher denial risk.

Therefore, the unintended consequence of this policy is a decrease in SOI and ROM levels for patients who have more than one CC or MCC.

References:

CDIP Exam Preparation Guide, 2021 Edition. AHIMA Press. ISBN: 9781584268530

Q&A: Understanding SOI and ROM in the APR-DRG system

3Mâ„¢ All Patient Refined Diagnosis Related Groups (APR DRGs)

Severity of illness | definition of severity of illness by Medical dictionary

Using Severity Adjustment Classification for Hospital Internal and External Comparisons

The name of the medication (aspirin), the date, time and location where it was last administered should be documented in the health record for inpatients with a discharge principal diagnosis of acute myocardial infarction, unless a contraindication to aspirin is documented. This is because aspirin is a core measure for acute myocardial infarction patients, and its administration within 24 hours of arrival is an indicator of quality of care and patient safety. The date, time and location are important to verify that the medication was given within the specified timeframe and to avoid duplication or omission of doses4 References: 1: https://www.ahima.org/media/owmhxbv1/cdip_contentoutline_2023_final.pdf  4: https://my.ahima.org/store/product?id=67077

The step that the clinical documentation integrity (CDI) manager should take to help avoid future Medicare violations is to collaborate with physician advisor/champion and revenue cycle manager. The physician advisor/champion can help with educating and engaging the physicians on the importance and impact of clinical documentation on coding, reimbursement, quality measures, compliance, and patient care. The revenue cycle manager can help with analyzing and monitoring the denial trends and patterns, identifying and resolving the root causes of denials, implementing corrective actions and preventive measures, and ensuring timely and accurate claim submission and appeal processes. References: : https://www.ahima.org/media/owmhxbv1/cdip_contentoutline_2023_final.pdf : https://my.ahima.org/store/product?id=67077

CMI is a metric that reflects the diversity, complexity, and severity of the patients treated at a healthcare facility, such as a hospital. CMI is used by CMS to determine hospital reimbursement rates for Medicare and Medicaid beneficiaries. CMI is calculated by adding up the relative MS-DRG weight for each discharge, and dividing that by the total number of Medicare and Medicaid discharges in a given month and year. Higher CMI values indicate that a hospital has treated a greater number of complex, resource-intensive patients, and the hospital may be reimbursed at a higher rate for those cases.

However, CMI is not the best measure of CDI performance, because it is influenced by many factors beyond CDI efforts, such as patient population, coding accuracy, documentation specificity, patient comorbidities, high volumes of highly weighted DRGs, and annual updates to relative MS-DRG weights. Therefore, measuring CMI over time with a focus on particular documentation improvement areas in addition to the overall CMI can provide a more comprehensive and meaningful assessment of CDI performance. For example, CDI programs can track CMI changes for specific DRGs, clinical conditions, or service lines that are targeted for documentation improvement initiatives. This can help identify the impact of CDI interventions on documentation quality, accuracy, and completeness.

A. Over time with a focus on high relative weight (RW) procedures that impact these procedures on overall CMI. This is not the best way to measure CMI as a metric of CDI performance, because it may not reflect the true complexity and severity of the patients treated at the facility. Focusing only on high RW procedures may overlook other documentation improvement opportunities for lower RW procedures or medical cases that may also affect patient outcomes, quality indicators, and reimbursement.

C. Month-to-month and focus on patient volumes to determine the raise the overall CMI. This is not a valid way to measure CMI as a metric of CDI performance, because patient volumes do not directly affect CMI. CMI is calculated by dividing the total relative weights by the total number of discharges, so increasing patient volumes will not necessarily raise the overall CMI unless the relative weights also increase.

D. Month-to-month to show CMI variability as a barometer of a specific month. This is not a reliable way to measure CMI as a metric of CDI performance, because month-to-month variations in CMI may be due to random fluctuations or seasonal effects that are not related to CDI efforts. Measuring CMI over a longer period of time can provide a more stable and accurate picture of CDI performance.

References:

CDIP Exam Preparation Guide, 2021 Edition. AHIMA Press. ISBN: 9781584268530

Case Mix Index (CMI) | Definitive Healthcare

Q&A: Understanding case mix index | ACDIS