7 ways we are screwing up AI in health care

The health care AI space is frothy. Billions in venture capital are flowing, nearly every writer on the health care beat has at least an article or two on the topic, and there isn’t a medical conference that doesn’t at least have a panel if not a dedicated day to discuss. The promise and potential is very real. And yet, we seem to be blowing it. The latest example is an investigation in STAT News pointing out the stumbles of IBM Watson followed inevitably by the “Is AI ready for primetime?” debate. Of course, IBM isn’t the only one making things hard for itself. Their marketing budget and approach makes them a convenient target. Many of us — from vendors to journalists to consumers — are unintentionally adding degrees to an already uphill climb. If our mistakes led to only to financial loss — no big deal. But the stakes are higher. Medical error is blamed for killing between 210,000 and 400,000 annually. These technologies are critical because they help us learn from our data — something health care is notoriously bad at. Using our data to improve is a matter of life and death. Continue reading ... Your patients are rating you online: How to respond. Manage your online reputation: A social media guide. Find out how.
Source: Kevin, M.D. - Medical Weblog - Category: General Medicine Authors: Tags: Tech Oncology/Hematology Primary Care Source Type: blogs