Digital Data Improvement Priorities for Continuous Learning in Health and Health Care: Workshop Summary (2013)

  J. Michael McGinnis (Institute of Medicine)

  Farzad Mostashari (Office of the National Coordinator)

  James Walker (Planning Committee Chair)

  Session Description: This session includes brief comments on the data quality challenges that lie ahead and a longer discussion of the characteristics and determinants of digital health data quality.

  Key Topics:

  Challenges on the horizon Doug Fridsma (ONC)

  Characteristics and determinants of data quality Marc Overhage (Siemens)

  Session Description: This session focuses on the quality of digital health data needed to evaluate clinical care delivery, population management and the business and operating processes that make up a learning health system.

  Key Topics:

  Assessing value Carol McCall (GNS)

  Managing populations and processes Mark Leenay (OptumHealth)

  Session Description: This session focuses on the quality of digital health data needed to enable research.

  Key Topics:

  Clinical research Rebecca Kush (Clinical Data Interchange Standards Consortium)

  Translational informatics Mia Levy (Vanderbilt)

  Session Description: This session focuses on the quality of digital health data needed to support of public health functions, including surveillance.

  Key Topics:

  Public health surveillance and management James Buehler (CDC)

  State-level perspective Martin LaVenture (Minnesota Department of Health)

  Session Description: Session presentations will focus on the implications of digital health data quality on the potential for learning from large amounts of health data.

  Key Topics:

  Using distributed data/Query Health Rich Platt (Harvard) and Rich Elmore (ONC)

  Data analysis and discovery of significant patterns David Madigan (OMOP/Columbia)

  Session Description: This session will focus on innovative approaches to overcoming some prominent challenges associated with using health data.

  Topics:

  Data harmonization Chris Chute (Mayo)

  Linking data across time and sources Vik Kheterpal (CareEvolution Inc.)

  Session Description: This session will include a rapid-fire, moderated discussion to identify the top 10 actions necessary for progress discussed during the course of the meeting.

1.  Identification of potential action steps—20 min. (45 seconds each)

2.  Rapid identification of pros and cons—15 min.

3.  Identification of top ten leading action steps—25 min.

  Session Description: This session will build off of the 10 action steps identified in the previous session and outline options to move forward.