Breaking through the hype in health care: What can machine learning really do for your patients?
The holy grail in health care is not fancier technology and tools, it is physician and patient behavior change. Machine learning will truly come of age when it can improve the decision-making of clinicians and patients or improve their efficiency in carrying out the actions that follow from those decisions.
Working to Create More Bridges and Achieve Person-Centered Care
AcademyHealth’s Concordium 2017 meeting focused on collaboration, communities of practice, and systems thinking to move innovations farther and faster.
Traditional Risk Indices as Predictors of Future Utilization and Cost in the Context of Population Health for an Uninsured Cohort
A Framework for Classification of Electronic Health Data Extraction-Transformation-Loading Challenges in Data Network Participation
Extracting Deep Phenotypes for Chronic Kidney Disease using Electronic Health Records
Journal Digs into Real World Health Data Lessons
eGEMs, AcademyHealth’s open access peer-reviewed journal, released a new call for papers, open through July 1, that seeks to address some of the fundamental health data issues revealed at the recent Health Datapalooza.