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Jordi Serrano Pons, CEO of UniversalDoctor, says we need to collaborate and work with organizations such as HL7 on developing tools to ensure greater interoperability, while also learning from each …
Posted Jun 27, 2019interoperability
Medical devices are key pieces of the health IT puzzle, technology that helps deliver patient care at one of the most critical junctures. There are many types of medical devices. And the number is …
Posted Jun 27, 2019iotmedical devices
Many predict 5G will be game-changing for healthcare, providing organizations with more connection power and faster broadband speeds. One area where 5G could be especially groundbreaking: remote …
Posted Jun 27, 2019robotics
Could the advancement of machine and deep learning algorithms be harnessed meaningfully in the area of mental health? Could depression, bipolar disorder, schizophrenia, or any other mental disorder be …
Posted Jun 26, 2019aimental health
As providers begin adopting innovative healthcare tools, patients, doctors and administrators expect to see major benefits. But that’s not always how things play out. An article from HIMSS Analytics …
Posted Jun 26, 2019healthcare it
The strategic plan boils down to eight strategies for how government can better enable development of safe and effective AI and machine learning technologies for healthcare and other industries. Make …
Posted Jun 26, 2019trump administration
The old adage says an apple a day keeps the doctor away. Can an Apple on your wrist keep the doctor away? Turns out that patients might be more willing to wear an Apple Watch or a medical wearable if …
Posted Jun 26, 2019survey
NASHVILLE, TENNESSEE—The director of Kaiser Permanente Ventures offers several lessons learned as an investor on the future of health technology.
Posted Jun 26, 2019insight
Integris researchers found that health care executives place too much confidence in their data privacy maturity in light of the actual effectiveness of their policies. Seventy percent of respondents …
Posted Jun 25, 2019cybersecurityhealthcare itmarket researchreports
Researchers from the University of Pennsylvania School of Medicine found that language used in a participant’s Facebook posts was able to predict 21 medical conditions.
Posted Jun 24, 2019social media
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