Alexa Can Truly Give Patients a Voice in Their Health Care (Part 2 of 3)

The first part of this article introduced the problems of computer interfaces in health care and mentioned some current uses for natural language processing (NLP) for apps aimed at clinicians. I also summarized the common goals, problems, and solutions I found among the five finalists in the Alexa Diabetes Challenge. This part of the article shows the particular twist given by each finalist. My GluCoach from HCL America in Partnership With Ayogo There are two levels from which to view My GluCoach. On one level, it’s an interactive tool exemplifying one of the goals I listed earlier–intense engagement with patients over daily behavior–as well as the theme of comprehensivenesss. The interactions that My GluCoach offers were divided into three types by Abhishek Shankar, a Vice President at HCL Technologies America: Teacher: the service can answer questions about diabetes and pull up stored educational materials Coach: the service can track behavior by interacting with devices and prompt the patient to eat differently or go out for exercise. In addition to asking questions, a patient can set up Alexa to deliver alarms at particular times, a feature My GluCoach uses to deliver advice. Assistant: provide conveniences to the patient, such as ordering a cab to take her to an appointment. On a higher level, My GluCoach fits into broader services offered to health care institutions by HCL Technologies as part of a population health program. In creating the ser...
Source: EMR and HIPAA - Category: Information Technology Authors: Tags: Care Management System Digital Health Healthcare AI Healthcare Analytics Medication Adherence Personalized Medicine Artificial Intelligence Care Coordination Diabetes Management Natural Language Processing NLP Voice Interface Source Type: blogs