CDI Opportunities in New Digital Health Era ⎯ HIMSS23 Notes

The HIMSS23 theme, "Health that Connects, Tech that Cares," highlighted the importance of patient-centered practices that connect information, technology, and policy, emphasizing human-centeredness, quality, and interoperability. As forward-thinking tech companies proudly show off their achievements in ChatGPT and generative AI, healthcare providers are taking a more cautious and evaluative approach, assessing potential impacts and necessary responses. What breakthroughs can we expect at the intersection of these perspectives in the coming years?
Medical Coding and Payment in Digital Health
Due to the pandemic, the U.S. has expanded digital healthcare payment coverage to include telemedicine, remote physiologic monitoring (RPM), remote therapeutic monitoring (RTM), remote assessments, and medical AI.
In addition, Medicare is implementing a new Physician Fee Schedule (PFS) and influencing policies that promote medical quality and performance evaluation, such as the traditional Merit-based Incentive Payment System (MIPS), the new MIPS Value Pathways (MVPs) framework, Alternative Payment Models (APMs), and Accountable Care Organizations (ACOs).
As the industry focuses on digital, remote, and quality care, on-demand access to in-demand healthcare services is expected to create new business opportunities supported by more flexible and diverse coding and payment systems.
Revenue Relates To Record Quality, Backed By Thorough Analysis And Documentation
U.S. hospitals continue to face prolonged revenue cycles, rising denial rates, and evolving reimbursement requirements in the post-pandemic era. To address these financial pressures, administrators are increasingly adopting AI and analytics to improve medical record quality, reduce workforce burden, and strengthen both clinical and financial performance.
Effective clinical documentation integrity (CDI) requires collaboration across care teams to identify and capture missing or incomplete clinical information. Traditional computer-assisted physician documentation (CAPD) systems alone are no longer sufficient. Closing documentation gaps before they affect downstream coding, reimbursement, or patient care requires proactive physician nudges and real-time documentation support.
For example, intelligent systems can detect abnormal hemoglobin levels in laboratory results or identify brain lesions buried across fragmented clinical notes, proactively prompting physicians to review the evidence and document the appropriate diagnosis. While vendors such as Epic, 3M, and Optum offer related capabilities, many solutions still rely heavily on predefined rules rather than contextual, AI-driven clinical reasoning. As a result, hospitals may need to develop and maintain their own rules, work within the constraints of existing system architectures, and build customized applications to automate these clinical nudges.
Technology in Healthcare: Balancing Quality and Economic Benefits
Speakers from UNC Health and Mayo Clinic revealed that their institutions have approximately 35,000-40,000 and 130,000 connected medical devices, respectively. Despite cybersecurity concerns, the medical data generated by these devices must be linked to medical records and utilized effectively. The vast amount of medical information can be standardized and coordinated only through analytics and AI tools that support medical record documentation, allowing healthcare professionals to access critical insights.
Telemedicine policy has experienced profound reform in the wake of COVID-19. The recovering healthcare industry must adapt to the new digital era at its own pace. It may be too early for the widespread use of NLP and ChatGPT in clinical practice. Instead of blindly pursuing the latest technology trends, hospitals are more focused on adopting new approaches that effectively utilize various generations of technology to tackle both new and existing problems while balancing medical quality and economic benefits to improve patient outcomes and resource allocation.
| References |