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Medicomp Systems Featured in Becker’s Top 100 AI Companies

July 29, 2019

By Laura Dyrda

Becker’s Hospital Review has featured Medicomp Systems in its listing of the top 100 AI companies to know in healthcare. See the full article here.

Phoenix Children’s Hospital saved $1M per year, boosted physician productivity with a key investment & more from CMIO Dr. Vinay Vaidya

June 5, 2019

By Laura Dyrda

This article originally appeared in Becker’s IT and CIO Report, written by Laura Dyrda. Vinay Vaidya, MD, is vice president and CMIO of Phoenix Children’s Hospital. Here he discusses where …Continue

Will the healthcare bubble burst? 19 key perspectives

September 11, 2017

By Laura Dyrda

Featured in: Becker’s Hospital Review “Healthcare spending has been a topic of national conversation over the past decade as it continues to increase despite efforts to reduce waste and overall …Continue

12 predictions on AI in healthcare: What the patient experience will look like in 20 years

May 3, 2017

By Laura Dyrda

Featured in: Becker’s Hospital Review Artificial intelligence is invading healthcare, with startups focusing on every aspect of healthcare delivery from personalized wellness to diagnosis to revenue cycle and supply chain …Continue

11 thoughts on how the American Health Care Act could affect hospitals

March 9, 2017

By Laura Dyrda

Featured in: Becker’s Hospital Review House Republicans revealed the American Health Care Act on Monday as their plan to replace the ACA. The bill includes key changes to healthcare policy, …Continue

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Clinical Lens

Today’s healthcare problem isn’t a lack of data; it’s a lack of usable data. Clinical Lens identifies and interprets disorganized, complex arrays of medical data and transforms that data into actionable information and clinical insights – all within the physician’s workflow.

Request A Demo Of Our Quippe Product Suite Today!
  • Medical Economics: Why practices need a stronger data foundation before relying on AI tools

    David Lareau writes in Medical Economics that AI tools need a strong clinical data foundation for safety, consistency, and value.

  • Healthcare IT Today: Healthcare Data – 2026 Health IT Predictions

    Dr. Jay Anders shares his thoughts on how AI will succeed in clinical settings: Throwing large language models and ambient listening tools at clinical workflows will not solve healthcare’s biggest …Continue

  • PSQH: What Does ChatGPT Health Mean for Healthcare?

    Dr. Jay Anders comments on the launch of ChatGPT Health: ChatGPT has now entered the health data exchange arena. OpenAI states that the information is protected; however, there is no …Continue

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