Disciplines:
MedicineGlyn Elwyn, clinician, and researcher, is the co-director of the Coproduction Laboratory within The Dartmouth Institute. He leads an international interdisciplinary team to examine the implementation of shared decision making into clinical settings, using innovative tools and measures, such as collaboRATE, a patient experience measure of shared decision making, and Observer OPTION-5, for use on recorded data. He developed Option Grids™ patient decision aids, tools designed to support collaboration between clinicians and patients, licensed to EBSCO in 2017. More recently he has investigated the impact of patients’ recording their visits to clinical encounters, and how this might enhance their role in decision-making.
Disciplines:
Applied Sciences & EngineeringSandeep Konam is a machine learning expert who trained in robotics at Carnegie Mellon University and has worked on numerous projects at the intersection of AI and healthcare. He is the cofounder and CTO of Abridge, a company that uses AI to help patients stay on top of their health.
By Sandeep Konam, Abridge, and Glyn Elwyn, Dartmouth College
Artificial intelligence is often touted as the next big thing in medicine, with the potential to make healthcare more efficient, more affordable and more personalized. Yet, so far, most uses of AI in healthcare support business as usual, incrementally improving the system and making insurers, hospitals and pharmaceutical companies more money without fundamentally changing the experience for patients.
We are missing out on AI’s revolutionary potential to reshape our healthcare system by directly serving patients and putting them back at the center of care.
Read the full article at Fierce Healthcare.
This article was produced by Footnote in partnership with Abridge.
Get in touch about this workBy Andy Ryan and Roslyn Murray of Brown University
Artificial intelligence is often touted as the next big thing in medicine, with the potential to make healthcare more efficient, more affordable and more personalized. Yet, so far, most uses of AI in healthcare support business as usual, incrementally improving the system and making insurers, hospitals and pharmaceutical companies more money without fundamentally changing the […]
By Chris Whaley & Yashaswini Singh of Brown University
Artificial intelligence is often touted as the next big thing in medicine, with the potential to make healthcare more efficient, more affordable and more personalized. Yet, so far, most uses of AI in healthcare support business as usual, incrementally improving the system and making insurers, hospitals and pharmaceutical companies more money without fundamentally changing the […]
By Stephen Lind, University of Southern California
Artificial intelligence is often touted as the next big thing in medicine, with the potential to make healthcare more efficient, more affordable and more personalized. Yet, so far, most uses of AI in healthcare support business as usual, incrementally improving the system and making insurers, hospitals and pharmaceutical companies more money without fundamentally changing the […]
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