Mckesson Jun 2012 - Jul 2018
Vice President of Product Management, Engineering and Qa - Customer Technology Solutions
Clover Health Jun 2012 - Jul 2018
Chief Product Officer
Mckesson Nov 2007 - May 2012
Senior Director of Engineering, Customer Technology Solutions and Informatics
Otn Jul 2005 - Nov 2007
Director of Engineering, Enterprise Reporting and Informatics
Bristol-Myers Squibb Jun 2001 - Jun 2005
Development Manager - Business Intelligence
Education:
The Wharton School 2017 - 2017
San Jose State University 1993 - 1996
Skills:
Agile Methodologies Enterprise Software Saas Integration Software Development Databases Java Enterprise Edition Scrum Oracle Data Warehousing Quality Assurance Web Applications Software Project Management Crm Cloud Computing Sdlc Java Software Design Software As A Service Soa Web Services E Commerce Microsoft Sql Server Xml Unix Enterprise Architecture Software Development Life Cycle Requirements Analysis Customer Relationship Management Sql Mobile Applications Service Oriented Architecture Pl/Sql Soap Appdynamics Salesforce Healthcloud Pardot Salescloud
Us Patents
Systems And Methods For Automatically Scheduling Patient Visits Based On Information In Clinical Notes Of Electronic Medical Records
MCKESSON SPECIALTY CARE DISTRIBUTION CORPORATION - , US Rakesh Wagh - Foster City CA, US Calvin A. Chock - Milpitas CA, US
Assignee:
MCKESSON SPECIALTY CARE DISTRIBUTION CORPORATION - San Francisco CA
International Classification:
G06Q 50/24 G06Q 10/10
US Classification:
705 3
Abstract:
Systems and methods are provided for automatically scheduling patient visits based on information in electronic medical records (EMRs). In one exemplary embodiment, a computer-implemented method for scheduling patient visits based on information in EMRs may be provided and performed by one or more computers associated with a service provider. An EMR for a patient can be evaluated to determine if it contains information indicating a need to schedule a future vising for the patient. Multiple scheduling parameters can be identified in the EMR. A schedule for a healthcare provider can be received, for example by the service provider computer. The schedule of the healthcare provider can be evaluated based on one or more of the identified scheduling parameters. In addition, a suggested appointment time for the future visit for the patient can be identified based at least in part on the evaluation of the schedule.
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