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AI in life science: faster cures for viral disease

Digital Leaders HealthTech

The potential effect of this viral disease on mortality and public health, as well as the lasting socioeconomic impact of the crisis, is unfathomable. To mitigate the wide-scale impact of this growing pandemic, our hopes are trained on a vaccine, prophylactic or curative, and the life sciences industry that can produce it.

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What Person-Centered Interoperability Looks Like: Seqster

Health Populi

He had me at the statement, “I believe health data is medicine.”. Those were the words of Ardy Arianpour, CEO and Co-Founder of Seqster, when sharing with me how his company was founded.

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IoT and The Rise of the Machines in Healthcare

Health Populi

During the first year of the COVID-19 pandemic, the health care sector was profoundly affected by cyber-attacks on connected devices, we learn in the report, Rise of the Machines 2021: State of Connected Devices – IT, IoT, IoMT and OT from Ordr. How to protect vulnerable groups of people?

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So Many Records, So Little Time: How to Manage Burgeoning Health Plan Requests

Healthcare IT Today

Furthermore, the 21 st Century Act opens the door for greater availability to clinical data among patients, providers, and other requesters such as payers. Non-health insurers and life sciences companies also recognize the value of clinical data and are requiring greater levels of access to power their applications and processes.

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Top takeaways from HIMSS22: What CIOs need to know

Healthcare IT News - Telehealth

Examples include using Teams for virtual care visits, Teams integration with Cerner electronic health record, and additional enhancements on the Azure Health Data Services using AI. Salesforce has announced that it will improve its Salesforce Customer 360 for Health product, adding new features. Virtual care.

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Aspects of Social Determinants of Health: Collecting Data

Healthcare IT Today

According to vice president Ted Hill, it can modernize how public health agencies serve today’s needs. Casetivity can ingest, standardize, and share health data. The variety of organizations that provide data (clinical settings, labs, community-based organizations, etc.)

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AI Adoption in Healthcare Requires Better Approaches to Patient Data

Healthcare IT Today

Building great AI models in healthcare and life sciences requires lots of data that is diverse, well-labeled, and spans across different patient types. She studied molecular and cell biology, public health, and business at UC Berkeley and UCLA. About Vanessa Braunstein.