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James Priestas Phones & Addresses

  • Philadelphia, PA
  • Dayton, PA
  • 214 Main St, Rural Valley, PA 16249 (724) 783-6676
  • Arlington, VA
  • Monroeville, PA
  • Leesburg, VA

Resumes

Resumes

James Priestas Photo 1

Managing Director - Applied Intelligence

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Location:
214 west Main St, Rural Valley, PA 16249
Industry:
Hospital & Health Care
Work:
Accenture since May 2012
Management Consultant

Booz Allen Hamilton Jul 2011 - May 2012
Sr. Consultant

Dynamics Research Aug 2010 - Jul 2011
Sr. Consultant

Vitas Healthcare May 2010 - Sep 2010
Market Analysis Consultant

University of Pittsburgh Medical Center Jun 2009 - Aug 2010
Project Manager, UPMC Mercy
Education:
Carnegie Mellon University
Master of Science, Health Care Policy and Business Management
University of Pittsburgh
BS & BA, Biological Sciences and Italian Literature and Language
Skills:
Strategy
Project Management
Management Consulting
Strategic Planning
Business Process Improvement
Healthcare Consulting
Process Improvement
Leadership
Organizational Development
Six Sigma
Healthcare
Program Management
Business Process Re Engineering
Change Management
Analysis
Consulting
Business Analysis
Strategic Communications
Lean Management
Stakeholder Management
Organizational Design
Policy
Performance Improvement
Cross Functional Team Leadership
Data Analysis
Performance Management
Program Evaluation
Lean Transformation
Process Optimization
Healthcare Management
Business Transformation
Risk Adjustment Predictive Modeling
Financial Management Services
Payors
Claims Management
Health Insurance
Project Portfolio Management
Governance
Mergers and Acquisitions
Medicare Advantage Risk Adjustment
Risk Corridors
Medical Loss Ratio
Commercial Risk Adjustment
Artificial Intelligence
Reinsurance
Pharmaceutical Industry
Languages:
Italian
Certifications:
Project Management Professional
Lean Six Sigma Black Belt
James Priestas Photo 2

James Priestas

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Publications

Us Patents

Automatic Identification And Extraction Of Medical Conditions And Evidences From Electronic Health Records

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US Patent:
20190006027, Jan 3, 2019
Filed:
Jan 24, 2018
Appl. No.:
15/879031
Inventors:
- Dublin, IE
Pedro Sacristan - Dublin, IE
Urvesh Bhowan - Co. Wicklow, IE
Medb Corcoran - Dublin, IE
Jivan Virdee - London, GB
James Robert Priestas - Arlington VA, US
Tara Lynn O'Gara - Arlington VA, US
Thomas D. Perry - Vienna VA, US
Theresa M. Gaffney - Milton MA, US
Meghan Hildebrand Fotopoulos - Philadelphia PA, US
Laura O'Malley - Dublin, IE
International Classification:
G16H 10/60
G16H 50/20
G06F 17/30
Abstract:
This document describes systems, methods, devices, and other techniques for automatically identifying and extracting medical conditions and supporting evidences from electronic health records. In some implementations, formatted text extracted from an unstructured electronic health record is obtained. The formatted text is segmented into multiple documents, wherein each document comprises a respective document type and represents a respective document encounter. Medical condition entities and supporting evidence entities referenced in each of the multiple documents are extracted. Extracted supporting evidence entities within a same document are linked to respective extracted medical condition entities from the same document using one or more of i) medical ontologies, or ii) a medical knowledge base. Output data representing linked supporting evidence entities and medical condition entities within a same document is provided.
James E Priestas from Philadelphia, PADeceased Get Report