Health IT Survey Compendium
The Health IT Survey Compendium provides a centralized resource of publically available health IT surveys, many of which were developed by AHRQ-funded projects. Surveys may be used as is, serve as templates to create new surveys, or questions pulled out and used on their own.
Current Search
Active Filters:
-
Description: Develop a comprehensive plan for health IT implementation and integration by assessing specific clinical and organizational needs, feasibility of health IT implementation, defining project parameters, developing the implementation plan, and specifying procedures for ongoing evaluation and feedback.
-
Description: This project refined a set of asthma care quality measures and developed and validated the use of an automated method using natural language processing to utilize the measures.
-
Description: This project developed nine obesity care quality measures and developed and validated the use of an automated method using natural language processing to utilize the measures.
-
Description: Developed approaches to share data on patient clinical and diagnostic information across systems and created an implementation plan for systems integration.
-
Description: This project analyzed the efficacy of using clinical decision support and performance feedback to improve the control of hypertension in patients treated in community health centers.
-
Description: This project compared high and low intensity support for implementation of clinical decision support (CDS) and found that the low intensity support may be sufficient to help community health centers improve their use of CDS over a relatively short time period.
-
Description: In this study, researchers assessed the feasibility of using commercial off-the-shelf mobile technology, including phones and fitness trackers, to collect and report patient-generated health data and patient-reported outcomes from diverse, disadvantaged patients in an urban safety net health care system.
-
Description: This research demonstrated primary care providers’ complementary use of “push” and “pull” health information exchange technologies to meet their information needs and provides evidence that “pull” exchange reduces potentially avoidable healthcare utilization.