Bharat Tewarie, Vasudev Bailey, Maxwell Rebarber & Jennings Xu
With natural language processing and machine learning, researchers are identifying patient emotional and medical needs that are not being met by clinicians and patient advocacy groups.
Digital medicine is here, and it’s here to stay.
Case Study by
Ranjani K. Paradise, Carla Bettano & Toni McGuire
A group of seven community health centers in Massachusetts collaborated to implement a teledermatology program that improved access to specialty care for patients with skin conditions and reduced overall dermatology spending.
William Gordon, Aneesh Chopra & Adam Landman
The pieces are in place for a truly disruptive shift in how patients can access and use their own clinical data to improve their health.
Anna De Simoni, Stephanie J. C. Taylor, Chris Griffiths, Pietro Panzarasa & Aziz Sheikh
Three proposed steps for integrating peer-driven online health communities with traditional services to improve health outcomes for people with chronic conditions.
The development of standardized tools and techniques are enhancing the ability of providers to interact with patients, but true patient engagement requires a common understanding of its theoretical foundation and an open mind for including patients’ needs and beliefs — in their language — as part of each encounter.
Lynda Chin, Joseph B. McCormick & Raymond S. Greenberg
Disrupted by technologies, health care needs ecosystem-based solutions for integration and equitable access.
Case Study by
Sohera N. Syeda, Emma Trucks & Kristine Sears
A nurse-directed intervention targeting veterans who had been hospitalized for COPD resulted in improved access to ambulatory care and a reduced rate of readmissions.
Juliet Rumball-Smith, Jill Gurvey & Mark W. Friedberg
Patient user-determined weights could become a highly desirable feature of future hospital ratings.
Patients hold responsibility for their actions, but providers’ approaches to address obesity often fall short as well.