7th Annual AMIA Invitational Health Policy Meeting December 12-13 ...
7th Annual AMIA Invitational Health Policy Meeting December 12-13 ...
7th Annual AMIA Invitational Health Policy Meeting December 12-13 ...
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<strong>Health</strong> Data Use, Stewardship, and Governance: Ongoing Gaps and Challenges<br />
<strong>7th</strong> <strong>Annual</strong> <strong>AMIA</strong> <strong>Invitational</strong> <strong>Health</strong> <strong>Policy</strong> <strong>Meeting</strong><br />
<strong>December</strong> <strong>12</strong>-<strong>13</strong>, 20<strong>12</strong><br />
<strong>AMIA</strong> <strong>Invitational</strong> <strong>Health</strong> <strong>Policy</strong> <strong>Meeting</strong> 20<strong>12</strong><br />
Page 17 <strong>12</strong>/10/20<strong>12</strong><br />
Breakout Sessions Discussion Questions<br />
Breakout Session 1: Demonstrate Value of Data Use<br />
1. How can we best illustrate and communicate the value and benefits of data use to<br />
patients, providers and other healthcare system stakeholders?<br />
2. What are the risks to patients, the U.S. healthcare system and global stakeholders of not<br />
using, exchanging, and sharing data?<br />
Breakout Session 2: Identify the Major Future Challenges, Gaps and Barriers to Appropriate<br />
and Effective <strong>Health</strong> Data Use<br />
1. Identify the most significant future challenges related to data use.<br />
a. What should patients’ roles and responsibilities be with regard to health data<br />
use? How can processes be designed and implemented to ensure patient<br />
understanding and build patient confidence? What are the public policy issues<br />
and challenges regarding integration of patient-entered/mediated data?<br />
b. What challenges exist/are emerging about “Big Data?” To what extent are public<br />
policies on “cloud data” needed? How can we deal with emerging technical<br />
challenges related to increasingly larger and more granular data<br />
compendia/compilations?<br />
c. What are the challenges related to the increased availability and diversity of data<br />
sources and the resulting need to integrate these data (such as genomic and<br />
molecular data, data from mobile applications, data from medical and implanted<br />
devices and sensors) into the EHR?<br />
2. Identify the key challenges regarding data quality. To what extent do all data uses share<br />
the same requirements for quality (e.g., timeliness, reliability, and validity)? In what<br />
ways are lack of (or inconsistent) standards impeding data use efforts?