In health care, AI is speeding up administrative tasks, improving the accuracy of diagnoses, and curtailing unnecessary treatment.
Vaccines are an especially risky proposition for pharmaceutical manufacturers since the costs are higher than for other types of drugs and demand could drop drastically once a crisis is over.
Data-based algorithms are personalizing medicine.
The Camden (NJ) Coalition’s influential care management program—which targeted high-use, high-need patients —did not reduce hospital readmissions, but did improve intermediate care coordination
Compatibility issues still hinder implementations, but need is driving platforms forward.
At Vezeeta, Amir Barsoum turns patients into consumers by giving them choice. He uses a three-bucket approach to prioritize ideas and reach his goal.
“Sparking the Data Revolution in Healthcare” series. The speaker, Teresa Zayas-Caban, PhD, Assistant Director for Policy Development at the National Library of Medicine (NLM).
This convening introduced the HSI Lab on Employee Population Health
As the health care industry moves toward value-based care, there are increasingly diverse publicly accessible hospital quality metrics. But which are significant? Joseph Doyle tests these measures.
HSI Lunch Seminar Series with Ken Mandl, MD, MPH, Boston Children's Hospital (BCH), Director, Computational Health Informatics Program (CHIP)
