Health Data Analytics Institute (HDAI) deploys innovative use of LLMs for summarizing and supporting patient preferences at a leading cancer center

Distributed by PRNewswire HDAI collaborates with Dana-Farber to help clinicians improve goal-concordant care for patients with serious illness BOSTON, Oct. 20, 2025 /PRNewswire/ — An innovative new protocol called Better Real-time Information on Documentation of Goals of care for Engagement in Serious Illness Communication (BRIDGE-SIC) is being launched today at Dana-Farber Cancer Institute. BRIDGE-SIC uses Health […]
HDAI to announce AI tools that drive quality outcomes at HLTH 2025

Distributed by PRNewswire LAS VEGAS, Oct. 19, 2025 /PRNewswire/ — Nassib Chamoun, CEO of Health Data Analytics Institute (HDAI), a leader in enterprise risk stratification, will be speaking about “Crystal Ball Medicine” at HLTH in Las Vegas this week. At the event, Chamoun, an experienced health tech entrepreneur, will announce the general availability of the first […]
TIME – World’s Top HealthTech Companies of 2025

TIME has recognized HDAI as one of this year’s TOP 100 Global HealthTech Companies. To determine the world’s top health tech companies in 2025, TIME partnered with Statista to conduct a global analysis of companies delivering the most impactful technologies to improve health. The companies were ranked on three metrics—financial performance, reputation analysis, and online […]
2025 Quality and Safety Conference Points to Bold Future of Surgical Quality

During a session on the future of surgery, Nassib Chamoun, founder, president, and CEO of Health Data Analytics Institute addressed current and near-future uses of AI within surgical care workflows. He noted that AI could save a significant amount of clinician time managing patient information in the EHR by proactively designing the right patient workflow, […]
Clinical Judgment, Amplified.

By Romanus M. Joseph PhD(c), MBA, MSN, RN – Director of Clinical and Quality Improvement at Health Data Analytics Institute Final Thought from the Series: “Clinical Instincts, Enhance. Practical AI for the Bedside”. Clinical Judgment, Amplified. Over the past few weeks, I’ve shared how predictive analytics and generative AI can support clinical teams—not by replacing their […]
Hidden in Plain Sight – The Cost of ACO Leakage

By Josh Gray and Maria Monahan Many major hospital and health systems have launched Accountable Care Organizations (ACOs) through Medicare’s Shared Savings Programs (MSSP). Leakage – patients receiving care from competing hospitals or specialists – can be a substantial challenge for health system-affiliated ACOs. Out-of-network visits limit an ACO’s visibility, making both cost control and care coordination […]
Clinical Judgment Still Wins – Always

By Romanus M. Joseph PhD(c), MBA, MSN, RN – Director of Clinical and Quality Improvement at Health Data Analytics Institute AI Should Be a Secondary Brain, Not the Primary Driver Let me be clear: no model can replace what you see in a patient’s eyes, hear in their story, or feel in your gut. That’s why […]
Clinician-Centered AI Starts With Listening

By Romanus M. Joseph PhD(c), MBA, MSN, RN – Director of Clinical and Quality Improvement at Health Data Analytics Institute The Best AI Is Built With Your Feedback You don’t need another tool that wasn’t built for you. That’s why we have built the HealthVision solution with nurses, hospitalists, and case managers in mind. By grounding our design in real clinical workflows (process), […]
Smarter Rounds Through Predictive Nudges

By Romanus M. Joseph PhD(c), MBA, MSN, RN – Director of Clinical and Quality Improvement at Health Data Analytics Institute AI Nudges to Surface the Right Patient, at the Right Time Multidisciplinary rounds are fast, and not every patient gets the attention they deserve. The loudest case isn’t always the riskiest. We’ve introduced subtle nudges into […]
From Prediction to Prevention

By Romanus M. Joseph PhD(c), MBA, MSN, RN – Director of Clinical and Quality Improvement at Health Data Analytics Institute What If You Could See Risk Before It Becomes Reality? Discharge planning shouldn’t start on day of discharge. It should begin soon after a patient is admitted to the hospital, and ideally, within 24 hours of admission. Too often, risk […]