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Enables the detection of early signs of patient deterioration to prevent or mitigate the acuity of events by leveraging machine learning and passive monitoring.

  • Stage Full Product Ready
  • Industry Software
  • Location New York, NY, US
  • Currency USD
  • Founded December 2014
  • Employees 7
  • Incorporation Type C-corp
  • Website

Company Summary

Nonnatech is the solution for payers and providers who are dissatisfied with experiencing high incidents of emergency department visits, higher costs, and looking to improve quality of care. Nonnatech’s machine learning models are continually trained to look for patterns predictive of a significant change in the patient’s condition, such as identifying patients with a deteriorating chronic disease or developing an infection.


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    President and CEO

    Gary has been involved in the operation of several senior care businesses from home health care to senior housing for over 15 years. Gary has experience of demonstrated performance within healthcare, sales, tech, management, team building, and fundraising. Gary was chosen to participate on the SmartAmerica Closed Loop HealthCare team launched by the White House Presidential Innovation Fellows and NIST in 2014.

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    Dr. Robert A. Frank, M.D.
    Chief Medical Officer

    Dr. Frank is a cardiothoracic surgeon and entrepreneur with broad experience in healthcare spanning over 25 years. He has served as Chief of Quality Improvement and Utilization at Ochsner Clinic in New Orleans and as CEO and Chief Medical Officer of the 700 physician Wayne State University Physician Group. Dr. Frank was most recently Chief Medical Officer and EVP at Meridian Health Plan, the largest Medicaid plan in Michigan and Illinois.

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    Jason Oliver
    VP of Product

    Jason founded 5 technology companies and has been part of successful exits. Jason’s first company was profitable from the first month and eventually sold for over $30mm. Jason produced the first multicast of the Emmy awards. Jason has a US patent for high-performance matching and filtering for structured and semi-structured rules in real-time. United States 20070294100.