PH

Parker Hinshaw

Board and Investment Positions in Health Care Technology Companies

Del Mar, California

Invests in

Stages:

  • Min Investment:

    $100,000.00
  • Max Investment:

    $5,000,000.00
  • Target Investment:

    $1,500,000.00

Skills

EHR
EMR
Healthcare Information Technology
Healthcare Consulting
Informatics
Healthcare
Healthcare Management
Process Improvement
Hospitals
Software Implementation
HIPAA
Health Information Exchange
Management Consulting
Project Management
Software Documentation
Revenue Cycle
Training
Business Process Improvement
HL7
Strategic Planning

Education

Work Experience

  • Co-Founder

    2014

    https://bootstrapventurepartners.com/

  • Chief Executive Officer

    2016

    MD Revolution is a transformational digital health provider that delivers a proven high-value, affordable population health management service. The software-as-a-service (SaaS) business has revolutionized the approach to behavior change for lifestyle diseases including diabetes, obesity, and heart disease. Actionable feedback to participants based on personal health data gathered from widely available consumer devices and apps serves as the model’s foundation. A predictive intelligence engine enables real-time identification of individuals that will or will not achieve desired health outcomes, thereby allowing clinicians and health coaches to focus on participants who require more intensive feedback. Accordingly, the system can effectively and simultaneously manage the health of multiple large populations.

  • Senior Vice President, Business Development

    2013 - 2016

    I spearhead MD Revolution's business development efforts, identifying the right sales and investor partnerships to drive business results. MD Revolution is a transformational digital health provider that delivers a proven high-value, affordable population health management service. The software-as-a-service (SaaS) business has revolutionized the approach to behavior change for lifestyle diseases including diabetes, obesity, and heart disease. Actionable feedback to participants based on personal health data gathered from widely available consumer devices and apps serves as the model’s foundation. A predictive intelligence engine enables real-time identification of individuals that will or will not achieve desired health outcomes, thereby allowing clinicians and health coaches to focus on participants who require more intensive feedback. Accordingly, the system can effectively and simultaneously manage the health of multiple large populations.

2001 - 2013

  • Co-Founder and CEO

    2001 - 2013