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Oracle, John Snow Labs and the Sentinel Initiative | News of note in brief

Friday, April 14, 2023
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population level clinical insights

Oracle, John Snow helping FDA turn unstructured clinical notes into population health insights

The FDA-led Sentinel Initiative is tapping Oracle’s life-sciences division, Cerner Enviza, to spearhead development of AI tools for rendering EHR-bound clinical notes as usable pointers for clinicians and researchers.

Joining Cerner Enviza in the project, planned for a two-year run, is John Snow Labs, which will lend special expertise in natural language processing (NLP).

3 arms, 1 mission. The Sentinel Initiative has as its main mission improving how FDA evaluates the safety and efficacy of drugs and medical devices. The work is divided into three branchlets—Community Building and Outreach Center, Sentinel Operations Center and Sentinel Innovation Center. It’s the latter that’s running the project at hand.

The project’s primary thrust is using AI and NLP to better understand ways in which widely used medicines affect large populations. Up first is the asthma drug montelukast (popular name brand: Singulair), which is suspected of causing deleterious mental-health side effects.

The FDA selected Cerner Enviza thanks to its decades-long experience in research spanning commercial, clinical and regulatory realms, according to an announcement Oracle posted April 10. The relevant skills base includes working with “a broad range of Oracle provider networks to help accelerate the discovery, development and deployment of health insights and therapies.”

For its part, John Snow Labs is well regarded for its advances in AI and NLP, including healthcare-specific offerings, the announcement points out.

Project leaders hope advanced AI and NLP will prove a fast, scalable alternative to manual means of analyzing clinician notes embedded in EHRs. The traditional methods are understandably slow and questionably comprehensive. However, poring over aggregating such notes has been a must for capturing real-world patient experiences at both the individual and population levels.  

‘Key strategic’ priority. “Development and evaluation of tools that can enhance our ability to utilize unstructured EHR data is a key strategic priority for the Sentinel Innovation Center,” says Rishi Desai, PhD, assistant professor of medicine at Harvard Medical School and operations chief of the Sentinel Innovation Center. “We look forward to this new relationship and exciting initiative led by Cerner Enviza.”

Other names of note in the project, called the “Multi-source Observational Safety Study for Advanced Information Classification Using NLP (MOSAIC-NLP),” include Children’s Hospital of Orange County in California, National Jewish Health and Kaiser Permanente Washington Health Research Institute.

Oracle’s full announcement is here.

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Healthcare AI news digest

Industry Watcher’s Digest

 

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  • Smart sensors for frenetic workflows. AI remote monitoring vendor Care.ai is working with Google Cloud to extend the startup’s reach in hospitals and nursing homes via availability on Google Cloud Marketplace. The primary product in play, Care.ai’s Smart Care Facility Platform, uses ambient sensors and generative AI to, for example, alert nurses and other frontline caregivers when bedside attention is and isn’t warranted. Learn more.
     
  • Highly ‘promising’ healthcare AI vendors. Forbes is out with its annual selections for 50 of the “most promising privately held companies building businesses out of artificial intelligence.” Five names making the list are specific to healthcare: Bayesian Health (New York City, patient risk detection); Insitro (San Francisco, drug discovery); PathAI (Boston, diagnostics and drug discovery); Unlearn.AI (San Francisco, clinical trial forecasting); and Viz.AI (San Francisco, disease detection). Forbes’s own coverage here.
     
  • Happy (data) trails for edifying (patient) journeys. Health-data platform supplier HealthVerity (Philadelphia) is partnering with cloud-based analytics outfit Axtria (Berkely Heights, N.J.) to offer HIPAA-compliant transfer and analysis of patient-level data across myriad transmittal streams. Supported programs might include digitized patient support, provider or vendor marketing and any other engagement channels reflecting or facilitating “patient journeys.” Read the rest.
     
  • Could your hospital pull this off? People stricken with a cardiovascular crisis often survive and recover as long as they’re transported ASAP to a hospital that has two attributes: expertise in emergency heart care and capacity to accommodate the incoming episode. Machine learning could help paramedics and EMTs quickly thread that needle at the scene of first response, new research shows. The study was conducted in South Korea at Yonsei University (Seoul) and published April 6 in BMC Medical Informatics and Decision Making. AIin.Healthcare coverage here.
     
  • AI invigorates America’s oldest medical journal. The NEJM Group, publisher of the 211-year-old New England Journal of Medicine, has launched an all-digital journal to publish research and associated content related to the use of AI in medicine. Called NEJM AI, the publication has as its first editor-in-chief Isaac (Zak) Kohane, MD, PhD, founding chair of the Department of Biomedical Informatics in the Blavatnik Institute at Harvard Medical School. Coverage from HealthExec here and the Harvard Gazette here.
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