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AI and the future of health care

February 17, 2017
From the January 2017 issue of HealthCare Business News magazine

This allows for early detection and feedback on therapy — a step toward precision medicine. With its capability to analyze large clinical data sets combined with having the most relevant scientific studies and references at hand, AI will offer new, relevant insights into precision diagnosis, personalized treatment plans and therapies for complex diseases such as cancer. Physicians will get context-sensitive information, expanding their knowledge beyond traditional constraints and augmenting their abilities. This connectivity gives clinicians a more holistic view into their patients’ profiles as it combines all different data types, helping them to perform a deeper diagnostic analysis for each individual patient. This will not only improve individual care, but will also benefit the larger population as a whole. Each patient encounter will add to the body of medical knowledge.

Feedback loops can now be built into every care path. AI will help mine patient data on a population level to find subtle correlations and patterns in patient groups to potentially give indications on probable outcomes, based on the data from thousands of other patients with similar profiles. It could not only refine treatment paths, but also reveal new insights to advance science, clinical practice and pharmaceutical innovations.


About the author: Jeroen Tas is the CEO of Philips Connected Care & Health Informatics.

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