artificial intelligence medicine healthcare ehr electronic health records ehrs

Great expectations for machine learning in EHRs

The myriad problems preventing machine learning from acting on the wealth of electronic health records data (EHRs) will one day give way to a fantastic revolution in digital health. Approximately 80% of healthcare data is still unstructured and housed in various silos across different health systems due to complicated regulatory requirements. Data variables are themselves…

Healthcare data competency is the new black

Many are predicting the jobs of the future, how to robot proof your kids and what knowledge, skills, abilities and competencies will be key to avoid your white coat getting the pink slip. Communication, creativity, complex problem solving and collaboration are usually on the list. Now we need to add another “C”: healthcare data competency.  For some of…

virtual reality artificial intelligence healthcare hospitals

Is Virtual Reality realistic for hospitals and patients?

The early adoption of virtual reality (VR) in hospitals involved pain management, when Hunter Hoffman, a researcher from University of Washington built a $90,000 unit which immersed burn patients in a 3D video game called SnowWorld when their wounds were being cleaned. Patients claimed that the pain they have to endure was less severe and…

prediction artificial intelligence medicine healthcare data intelligence medicine

Prediction Machines: The Simple Economics of AI – Book Review

Prediction Machines: The Simple Economics of Artificial Intelligence – by Ajay Agrawal, Avi Goldfarb, and Joshua Gans Three economics professors based in Toronto, one of the world’s epicenters of artificial intelligence, authored the timely book Prediction Machines: The Simple Economics of Artificial Intelligence (Harvard Business Review Press, 2018). This book’s central tenet is that prediction is…