Intelligent Triage: Leveraging AI to Improve Care Allocation and Outcomes
Hear how leading healthcare organizations are using HealthVisionTM to precisely prioritize and match patients at risk to programs and resources. The system, embedded in the EHR, has helped reduce unnecessary readmissions, mortality, and other adverse events. https://vimeo.com/1082654701/3f41d14803 SHARE Facebook Twitter LinkedIn
Using AI to support a nursing program for patients with advanced illness
Houston Methodist Coordinated Care (HMCC) is the largest Medicare ACO in Houston, Texas with approximately 54,000 attributed Medicare patients.
Most (But not all) AMCs Provide Better Care
By Josh Gray: Vice President, Analytic Services at Health Data Analytics Institute Written with Diana Homsy: Senior Manager, Analytic Services at Health Data Analytics Institute We recently wrote about the overall positive performance of academic medical centers (AMCs). On an actual to expected basis, AMCs have 13% lower 30-day post admission mortality and 14% longer […]
Why LLMs Alone Aren’t Enough: The Case for Hybrid AI in Clinical Decision Support
By David Clain, HDAI Chief Product Officer and VP Corporate Strategy and Dr. Scott Cullen HDAI Senior Advisor In the rush to implement AI solutions in healthcare, many organizations are turning to Large Language Models (LLMs) like GPT-4 to summarize patient charts, generate clinical notes, and support decision- making. While these tools show remarkable capabilities, we’re […]
How to improve clinical workflows with AI chart summaries and risk predictions
“Let’s build something new and interesting. Really, the focus, especially in health care, needs to be with understanding deeply what the actual problems are that physicians, other clinicians, and operational leaders at health systems face today and build around those leveraging these new technologies, not trying to fit the technology to a problem that isn’t […]
Advanced illness patients
Advanced illness patients represent only about 6.5% of the Medicare population yet they drive the majority of cost, utilization, and negative outcomes, specifically about 35% of adverse events, 50% of readmissions, and more than half of inpatient deaths. Predictive models help to identify these specific patients early on in their hospital journey. This enables proactive clinical […]
Readmissions and physician shortage
Readmissions have become a challenge for many health systems and difficult for patients and their families. AI and predictive analytics play an important role in identifying these patients in real-time before they leave the hospital, enabling proactive, personalized care that can keep them healthy at home and reduce future readmissions. Video by Nassib Chamoun https://vimeo.com/1056025533/2124643300%20 Full […]
Patients Have a Better Chance of Surviving at Academic Medical Centers
By Josh Gray: Vice President, Analytic Services at Health Data Analytics Institute Written with Diana Homsy: Senior Manager, Analytic Services at Health Data Analytics Institute Your odds of surviving a hospitalization at an academic medical center are better – but you’ll stay longer. Our team at Health Data Analytics Institute (HDAI) recently compared performance at […]
How HDAI’s data analytics support is helping a large urban Accountable Care Organization
Houston Methodist Coordinated Care (HMCC) is a Medicare Shared Savings Program ACO, led by doctors affiliated with Houston Methodist and the community, with 50,800 attributed beneficiaries and more than 300 primary care physicians, serving the Houston metro area and taking both upside and downside financial risk in this value-based care program. The Health Data Analytics […]
