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Shaping the future of software driven business

19

Dr. Calum MacRae

Vice-chair of Innovation, Department of Medicine,

Brigham & Women’s Hospital, Partners Healthcare;

Associate Professor, Harvard Medical School

Achieving a continuous learning system is a broad goal in the industry to transform

healthcare. However, the inputs and outputs of our health systems are fundamentally

flawed and the traditional process of delivering care only after patients decide to

see a doctor is a workflow that is not patient-centered. We have ended up digitizing

decades old practices and turned health system professionals into data entry clerks

in recent waves of electronic and digital developments. There is a once-in-a-lifetime

opportunity to fully reconstruct health delivery in patient-centric fashion based on

the technological possibilities that now exist in data, AI, and digital realm. Capturing

the right information content, organized around human biology will be necessary to

transform inputs and outputs for such learning systems. With the right data inputs,

algorithmic approaches can be constructed for most disease conditions to provide

continuous care to patients in scalableworkflows that gowell beyond patient-provider

visits. Promising evidence from recent programs suggest that this transformation

could deliver dramatic improvements in clinical outcomes and reduce total medical

expenses, while improving patient satisfaction.

Healthcare and Life Sciences