What is Needed to Make GenAI Work for Users in Healthcare?
Application-centric AI and Auto-formalization
As discussed in the previous blog , administrative processes in healthcare may be a high-value target for impact by artificial intelligence (AI). However, many technical challenges remain in translating what is possible in theory with AI into practice, particularly from a user experience perspective.
Clearly, AI has enormous potential. For example, what if all the contextual data needed by any physician could be retrieved with a single request? Including information exchanged between the patient and the physician and data pertaining to external medical events (e.g., laboratory test results, hospital stays, etc.)? What if the physician does not need to navigate the electronic health record (EHR) during the patient visit? What if the information is delivered in the appropriate format, such as text, graphs, or images? All of this is achievable with AI. However, much remains to be done to turn this possibility into reality, beginning with the challenge of taming AI and managing the consequent change in user experience.