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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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LexisNexis Risk Solutions Takes Social Determinants of Health to New Heights

Healthcare IT Today

During the past decade, finally, health care is starting to deal in a structured, measurable manner with the life factors and environments that play the biggest role in their patients’ health. Are there disparities in program participation or health outcomes?

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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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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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Taking Social Determinants of Health (SDoH) From Data to Analysis and Action

Healthcare IT Today

In this article we explore the top lessons learned to make SDoH data effective, and three actionable examples of organizations who have turned data to analysis and action. What are the gaps in your clinical data, and how could social determinants of health data address them? What SDoH data do you have today?

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Larry Ellison’s Vision of a National EHR Database as Part of Cerner Acquisition

Healthcare IT Today

The second group to benefit from this National EHR Database was public health. Ellison highlighted how public health didn’t have a way to look across the health of a population. Of course, he highlighted the privacy area here by saying that the data would be anonymized. That’s not inspiring.

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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.