The digital health space refers to the integration of technology and health care services to improve the overall quality of health care delivery. It encompasses a wide range of innovative and emerging technologies such as wearables, telehealth, artificial intelligence, mobile health, and electronic health records (EHRs). The digital health space offers numerous benefits such as improved patient outcomes, increased access to health care, reduced costs, and improved communication and collaboration between patients and health care providers. For example, patients can now monitor their vital signs such as blood pressure and glucose levels from home using wearable devices and share the data with their doctors in real-time. Telehealth technology allows patients to consult with their health care providers remotely without having to travel to the hospital, making health care more accessible, particularly in remote or rural areas. Artificial intelligence can be used to analyze vast amounts of patient data to identify patterns, predict outcomes, and provide personalized treatment recommendations. Overall, the digital health space is rapidly evolving, and the integration of technology in health

Wednesday, October 21, 2020

The Age of Integration

Some have called it the Age of Artificial Intelligence.  That may be so, however, integration is the other player in this decade.

Thousands of applications and software solutions have been marketed in the Health care space.

Small vendors have their own niche, electronic health records, remote monitoring, telehealth, natural language processing, analytics, practice and revenue cycle management, patient portals for scheduling appointments, secure instant messaging, and prescription refills

The core application is the one the user, provider, patient signs on to first.  Which one is difficult to predict? The evolution of HIT is so rapid prediction may be moot.  Most vendors look to the future to plan their next pivot. 

A.I. is enhancing integration among different applications in radiology. The artificial intelligence applications will not operate in an isolated role. Provider input will overly and parallel results from A.I. and machine learning.  Humans have the ability to error check and identify metrics that A.I. cannot. Some images may have an artifact which will confuse A.I. applications.  Providers can use A.I. to confirm their findings and/or refresh their own knowledge base.

No comments:

Post a Comment