Matthew Zubiller - San Diego CA, US Laura Lata Coughlin - North Grafton MA, US Richard Hensley - Erie CO, US Craig Allen Knier - Asbury IA, US Daniel Lyakovetsky - Norwalk CT, US Douglas James Moeller - Phoenixville PA, US
International Classification:
G06Q 50/00
US Classification:
705 2
Abstract:
A system may receive a proposed medical diagnosis of a patient, and automatically identify potential medical services to be performed with respect to the patient. The identified medical services may be deemed relevant to the proposed medical diagnosis, which the system may determine from a customizable decision table. Further, the system may receive selection of a potential medical service from the identified potential medical services, and present an automated, real-time indication regarding paying entity/plan coverage and estimated cost and/or quality metrics for the selected medical service based on the patient and paying entity/plan of the patient. In addition, the system may facilitate selection of a lab/facility to perform the selected medical service. To communicate across clinicians, labs/facilities and paying entities, the system may employ a catalog of medical services spanning multiple clinicians, labs/facilities or paying entities/plans to thereby integrate their nomenclatures, and may employ a coding system in this regard.
Point-Of-Care Decision Support Driven Auto-Adjudication System, And Associated Method And Computer-Readable Storage Medium
Matthew Brayton Zubiller - San Diego CA, US Jim Evans - Cleveland Heights OH, US Rose Marie Higgins - Washington Crossing PA, US
International Classification:
G06Q 50/22
US Classification:
705 2
Abstract:
A system is provided that includes a processor configured to access a catalog of a plurality of medical services spanning a plurality of one or more of clinicians responsible for diagnoses of respective patients, facilities responsible for performing medical services with respect to respective patients, or paying entities responsible for the coverage of respective patients. The clinicians, facilities or paying entities have a respective plurality of nomenclatures for identifying the medical services, with at least some of the nomenclatures differing in identifying similar medical services. The processor is therefore configured to receive identification of a medical service in the nomenclature of one clinician, facility or paying entity, and from the catalog, translate the identification to the nomenclature of another clinician, facility or paying entity for transmission thereto.
Diagnostics Benefits Management And Decision Support System, And Associated Method And Computer-Readable Storage Medium
Matthew Zubiller - San Diego CA, US Laura Lata Coughlin - North Grafton MA, US Richard Hensley - Erie CO, US Craig Allen Knier - Asbury IA, US Daniel Lyakovetsky - Norwalk CT, US Douglas James Moeller - Phoenixville PA, US
International Classification:
G06Q 50/00 G06Q 40/00 G06Q 20/00 G06Q 90/00
US Classification:
705 3, 705 2, 705 4, 705 40, 705400
Abstract:
A system may receive a proposed medical diagnosis of a patient, and automatically identify potential medical services to be performed with respect to the patient. The identified medical services may be deemed relevant to the proposed medical diagnosis, which the system may determine from a customizable decision table. Further, the system may receive selection of a potential medical service from the identified potential medical services, and present an automated, real-time indication regarding paying entity/plan coverage and estimated cost and/or quality metrics for the selected medical service based on the patient and paying entity/plan of the patient. In addition, the system may facilitate selection of a lab/facility to perform the selected medical service. To communicate across clinicians, labs/facilities and paying entities, the system may employ a catalog of medical services spanning multiple clinicians, labs/facilities or paying entities/plans to thereby integrate their nomenclatures, and may employ a coding system in this regard.
Henry Schein One
Advisor
Gryphon Investors
Advisor
Wonolo 2017 - 2019
Board Advisor
The Conference Board 2017 - 2019
Innovation Leadership Council - Advisory Council Member
Amn Healthcare Jan 1, 2016 - 2019
Senior Vice President Corporate Strategy and M and A
Education:
University of California, Berkeley, Haas School of Business
Dowling College
Bachelors, Bachelor of Business Administration
The Wharton School
Bachelors, Bachelor of Science, Economics, Finance
Charles University
London Business School
Master of Business Administration, Masters
University of California, Berkeley
University of Pennsylvania
Bachelors, Bachelor of Science, Economics, Marketing, Finance
Skills:
Strategy Leadership Healthcare Business Strategy Entrepreneurship Business Development Management Healthcare Information Technology Strategic Planning Cross Functional Team Leadership Mergers and Acquisitions Team Building Managed Care Saas Sales Healthcare Management Start Ups Healthcare Consulting Program Management Product Management Strategic Partnerships Executive Management Venture Capital Personalized Medicine Enterprise Software Business Intelligence New Business Development Healthcare Reimbursement Hospitals Process Improvement Business Planning Healthcare Industry Product Marketing Product Launch Medical Devices Management Consulting Change Management Competitive Analysis Contract Negotiation Consulting Corporate Development Lifesciences Crm Pharmaceutical Industry Product Development Performance Improvement Analytics Informatics Oncology Strategic Consulting
Interests:
International Travel Children Fighting Cancer Healthcare Innovations Science and Technology Educational Development
St. Lawrence School Sayville NY 1981-1986, St. Lawrence the Martyr School Sayville NY 1981-1986, St. Lawrence School West Sayville NY 1981-1986, Sunrise Drive Elementary School Sayville NY 1984-1988, Sayville Junior High School Sayville NY 1988-1991