
Clinical documentation improvement (CDI) programs are essential for hospitals to capture payments tied to achieving certain quality thresholds and enhance patient care. Before implementing a CDI program, hospitals must analyze their current clinical documentation, coding, and revenue cycle performance to identify areas for improvement. This involves assembling a diverse CDI team led by specialists with nursing, pharmacy, or health information management experience and recruiting physician leaders to facilitate inter-department communication. Hospitals then choose a CDI model and tool, such as software platforms for clinical documentation improvement, and establish employee training programs to educate staff on best practices in documentation and coding. By monitoring key performance trends, hospitals can demonstrate the value of CDI investments and ensure comprehensive and accurate clinical documentation.
| Characteristics | Values |
|---|---|
| Analysis and interpretation | Hospitals should analyze current clinical documentation, coding, and revenue cycle performance before investing in CDI programs. |
| Assemble a CDI team | CDI teams should consist of specialists and staff members from various departments, including nursing, pharmacy, and health information management. |
| Choose a model | Different CDI models target different parts of a hospital’s documentation life cycle, such as health information management, coding, and case management. |
| Choose a CDI tool | Hospitals can choose from various software platforms for clinical documentation improvement, case management, and computer-assisted coding. |
| Establish employee training programs | CDI leaders should develop education programs to train hospital employees on best practices in documentation and coding. |
| Record benchmarks | Sharing data on performance metrics can help motivate employees and demonstrate the value of CDI investment to administrators. |
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What You'll Learn
- Analysis and interpretation of current clinical documentation
- Assemble a CDI team with nursing, pharmacy, or health information management experience
- Choose a CDI model that targets different parts of a hospital's documentation life cycle
- Pick a CDI tool from software platforms for clinical documentation improvement
- Establish employee training programs to introduce best practices in documentation and coding

Analysis and interpretation of current clinical documentation
Hospitals should begin by analysing and interpreting their current clinical documentation, coding, and revenue cycle performance. This analysis can help hospital leaders identify areas of improvement, such as cash leakage, problematic quality reporting, or insufficient clinical documentation. It is a strategic priority for hospitals to ensure comprehensive and accurate clinical documentation. As health systems increasingly assume a greater volume of risk-based payments, clinical documentation improvement becomes crucial for capturing quality measures and managing high-risk patients.
To facilitate this process, hospitals should assemble a diverse CDI team comprising specialists and staff members from various departments, including health information management, revenue cycle, clinical, administrative, and case management. This cross-functional approach ensures that all relevant areas are considered and that meaningful change can be implemented effectively.
When analysing current clinical documentation, hospitals should assess the completeness and accuracy of their data. Incomplete or flawed raw clinical data can hinder the effectiveness of analytics tools, impacting the insights gained about the patient population. Hospitals should prioritise comprehensive and accurate documentation to demonstrate that treatments were administered according to medical necessity, which, in turn, improves quality measure reporting.
Additionally, hospitals should examine their documentation life cycle and identify areas that require attention. Different CDI models target different parts of this life cycle, and hospitals can incorporate multiple models within their CDI initiatives. By developing CDI programs focused on health information management, coding, and case management, hospitals can improve documentation and standardise documentation patterns.
Furthermore, hospitals should consider the adoption of CDI tools, such as software platforms designed for clinical documentation improvement, case management, and computer-assisted coding. These tools can significantly enhance CDI program efforts and streamline documentation processes. However, it is essential to provide employee training programs to introduce hospital staff to best practices in documentation and coding.
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Assemble a CDI team with nursing, pharmacy, or health information management experience
To assemble an effective CDI team, hospitals should consider recruiting specialists with nursing, pharmacy, or health information management experience to lead documentation improvement teams. These leaders should have a working knowledge of state, federal, and payer-specific requirements for coding, documentation, and reporting. They should also be CDI certified through the American Health Information Management Association.
The CDI team should be cross-functional, including staff members from all coding and documentation departments, such as health information management, revenue cycle, clinical, administrative, case management, and utilization review. The team should also consist of a variety of specialists and staff members to influence meaningful change.
Additionally, CDI leaders and staff members should develop education programs to train hospital employees on best practices in documentation and coding. This includes mandatory CDI orientation for new clinical staff, encouraging ICD-10 coding knowledge, and sharing data on problematic diagnosis-related groups.
By assembling a diverse and knowledgeable CDI team, hospitals can improve the accuracy and completeness of their clinical documentation, which is crucial for effective patient care and population health management.
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Choose a CDI model that targets different parts of a hospital's documentation life cycle
Clinical documentation improvement (CDI) programs have been a part of healthcare for a long time, but they became more popular around 2007 when the Centers for Medicare & Medicaid Services (CMS) implemented Medicare Severity Diagnosis Related Groups (MS-DRGs). MS-DRG is a payment model used for reimbursement under Medicare’s Inpatient Prospective Payment System (IPPS). Hospitals realised that accurate and thorough diagnosis code reporting increased reimbursement and reduced compliance risks with IPPS.
Different CDI models target different parts of a hospital's documentation life cycle. Hospitals can incorporate multiple models within their CDI initiatives depending on the areas that require attention. Hospitals should develop and establish CDI programs that focus on health information management and coding, case management and continuity of care, and quality reporting issues.
Before investing in CDI programs, hospitals should analyse their current clinical documentation, coding, and revenue cycle performance. This can help hospital leaders identify and address issues such as cash leakage, problematic quality reporting, or insufficient clinical documentation.
CDI programs can benefit both patients and healthcare organisations. For patients, CDI leads to elevated engagement, greater satisfaction, and higher-quality care. Organisations benefit from fewer claims denials, higher profitability, and reduced burden on clinicians. Additionally, CDI helps ensure accurate and timely reimbursements by allowing medical coders to translate patient health records into billable codes.
By reviewing medical records for completeness and accuracy, CDI specialists play a crucial role in improving the accuracy of coding and billing, especially in inpatient facilities. This, in turn, results in more accurate reimbursement for the facility. The financial impact of CDI programs extends beyond initial claim payments, helping to reduce avoidable readmissions by improving communication and care coordination between patients and their caregivers at discharge.
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Pick a CDI tool from software platforms for clinical documentation improvement
Clinical Documentation Improvement (CDI) software is an essential tool for healthcare organizations to enhance their coding processes and clinical data accuracy. It improves the quality of documentation, increases efficiency, ensures compliance, and maximizes reimbursement. Here are four CDI software platforms to consider:
- Kohezion: Kohezion is a flexible, cloud-based platform that enables healthcare organizations to improve their clinical documentation. It offers a customizable interface, robust data analytics, and extensive integration options. Kohezion simplifies teamwork and facilitates better communication within healthcare teams. The platform is user-friendly and helps capture data accurately, making it easier for healthcare professionals to handle important information.
- Optum: Optum provides a comprehensive CDI platform that integrates with EHR systems to enhance the accuracy and efficiency of clinical documentation. It offers robust data analytics, providing healthcare providers with real-time insights and coding suggestions. Optum is particularly useful for large healthcare systems requiring advanced analytics and comprehensive CDI solutions.
- FinThrive: FinThrive is a CDI platform that integrates with various EHR systems to improve documentation quality and revenue cycle management. It combines technology with expert insights to enhance clinical documentation, coding, and compliance across healthcare organizations. FinThrive is well-suited for large healthcare organizations needing robust CDI and revenue cycle management solutions.
- Iodine Software: Iodine utilizes artificial intelligence to transform clinical documentation workflows. It provides real-time, data-driven insights, helping healthcare providers improve the accuracy and completeness of their documentation. This, in turn, leads to better revenue cycle performance and enhanced patient care outcomes. Iodine Software is ideal for hospitals and large healthcare systems focused on AI-driven CDI improvements.
These CDI software platforms offer various features and benefits, catering to the diverse needs of healthcare organizations. They contribute to improved documentation accuracy, streamlined workflows, enhanced patient care, and increased revenue. When selecting a CDI tool, it is essential to consider the specific requirements and goals of your healthcare organization.
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Establish employee training programs to introduce best practices in documentation and coding
Hospitals should establish employee training programs to introduce best practices in documentation and coding. These training programs should be developed by CDI leaders and staff members, with the goal of educating hospital employees about proper documentation and coding procedures. For example, physician training programs should include mandatory CDI orientation for new clinical staff, encouragement of ICD-10 coding knowledge, and data sharing on problematic diagnosis-related groups. Hospitals can also choose from a variety of software platforms that support CDI program efforts, such as clinical documentation improvement, case management, and computer-assisted coding.
To ensure comprehensive and accurate clinical documentation, hospitals should prioritize assembling a diverse CDI team with specialists and staff members from various departments. These teams should be led by CDI specialists with experience in nursing, pharmacy, or health information management, as well as working knowledge of coding, documentation, and reporting requirements. Hospitals should also consider recruiting physician leaders for CDI programs to facilitate inter-department communication and encourage adoption across clinical staff.
Before implementing a CDI program, hospitals should analyze their current clinical documentation, coding practices, and revenue cycle performance. This analysis helps identify areas of improvement, such as cash leakage, problematic quality reporting, or insufficient clinical documentation. By targeting these areas, hospitals can improve their financial performance and the accuracy of their clinical data.
Additionally, CDI leaders should establish benchmarks and record performance metrics to demonstrate the return on investment of CDI programs. By monitoring key performance trends and sharing data with clinical, HIM, and coding staff, hospitals can motivate employees to embrace change and showcase the measurable value of CDI initiatives to administrators. This data-driven approach helps hospitals make informed decisions and allocate resources effectively.
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