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C62c6441 5952 457f a72b e7fd4e75821e

Cognitive Referrals

A web-based clinical decision support program which guides primary care physicians as to the appropriateness of medical specialty referrals.

  • Stage Prototype Ready
  • Industry Healthcare Services
  • Location Ormond Beach, FL, USA
  • Currency USD
  • Founded July 2013
  • Employees 2
  • Website

Company Summary

Specialty referrals by PCPs may frequently be avoided if a patient's symptoms are first vetted algorithmically through our web-based protocols that determine and help the PCP decide if a specialty referral is necessary and/or complete. Our Program is driven by proprietary best practices algorithms for the most common diseases. The customers are healthcare insurers who will achieve significant cost savings from fewer inappropriate referrals.


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    Jeffrey Dann

    Jeffrey Dann MD,MBA received his BA from Harvard College, MD from Cornell University, MBA from Harvard Business School and trained at the Harvard Medical School. He founded NEBL Inc., a medical device R & D company that has developed and commercialized several proprietary devices in the urology/gynecology fields and holds 6 patents. He has chaired numerous national committees on technology, health policy and medical coding/ reimbursement.

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    Terrence Regan

    Terrance Regan received his BA from Univ. of Notre Dame, MD from Georgetown Univ and trained at Georgetown Medical Center. He is a practicing urologist in Central Florida and serves on various state medical organizations. He is the co-architect of the Programs proprietary algorithms.

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    Michael Branton

    Michael Branton PhD received his BS from Florida Tech and his MS and PhD from Univ. of North Carolina. He founded the Computer Science Dep't at Stetson Univ. and serves as Chair of the Deptment of Mathematics and Computer Sciences. He is an expert in the field of dynamic web systems application development and built the Cognitive Referrals Program.


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    Joseph Benbenek
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    Carlton Healey

Previous Investors

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    none-self funded