HEDIS MY 2027: Key Changes healthcare organizations need to know
The National Committee for Quality Assurance (NCQA) has announced several upcoming changes to the Healthcare Effectiveness Data and Information Set (HEDIS®) that will influence how organizations measure, report, and improve quality of care.1 For Measurement Year (MY) 2027, these updates reflect emerging clinical priorities, advances in technology, and the healthcare industry’s continued shift toward digital … HEDIS MY 2027: Key Changes healthcare organizations need to know
What is risk adjustment software? A guide for healthcare organizations
Risk adjustment depends on accurate data, complete documentation, and consistent workflows. For healthcare organizations managing risk-based contracts, those requirements can become difficult to coordinate across teams, systems, and populations. Claims data may live in one place, clinical data in another, documentation review in a separate workflow, and reporting in static dashboards or spreadsheets. Risk adjustment … What is risk adjustment software? A guide for healthcare organizations
Signs your organization needs better clinical and claims data integration
Almost no healthcare organization intentionally builds a fragmented data environment. Fragmentation develops through reasonable decisions: an acquired practice arrives with a second EHR instance, a risk-based contract introduces another payer file, a vendor relationship brings in laboratory or pharmacy feeds. Their combined effect is a set of systems describing the same patients and members differently. … Signs your organization needs better clinical and claims data integration
How to choose the right risk adjustment vendor
Executive Summary Choosing a risk adjustment vendor should never be reduced to coding function alone. The right platform should improve documentation quality, integrate into clinical and operational workflows, provide transparent analytics, support prospective and retrospective programs, and maintain audit readiness. Organizations should prioritize configurable technology, explainable AI, strong governance, measurable outcomes, and an implementation approach … How to choose the right risk adjustment vendor
Responsible AI in healthcare analytics: The MedInsight approach
Key Highlights Introduction› Analysis in the AI era› Principles of AI adoption at MedInsight› Conclusion› Download the white paper Introduction The recent explosion of artificial intelligence (AI) capability and deployment at scale has dramatically altered conversations and expectations for technology solutions. Healthcare and healthcare analytics are no exceptions to this. AI as a technological innovation … Responsible AI in healthcare analytics: The MedInsight approach
Heart failure admissions: Cost implications of potentially avoidable inpatient care
Key Highlights Background› Methodology› Analysis› Conclusion› Download the article Heart failure (HF) represents one of the most pressing cardiovascular health challenges facing the United States (US). According to the CDC, heart failure occurs when the heart cannot pump enough blood and oxygen to meet the body’s needs. Although it is a serious condition, it does … Heart failure admissions: Cost implications of potentially avoidable inpatient care