The proposed Health Information Technology Center for Education and Research on Therapeutics on Health Information Technology (HIT-CERT) will cover a range of issues relating to the impact of HIT on therapeutics, building both on the prior work of our CERT, as well as addressing important new areas. In particular, we will build on our work in leveraging HIT for pharmacosurveillance, medication reconciliation, and medication-related clinical decision support, and identify new ways to utilize information coming from medication-related decision support to advance our understanding of how providers are responding to it. We propose to carry out 4 research projects over a five-year period, each of which will address one or more of the programmatic interest areas identified in the CERT RFA, with our areas of focus being patient safety, development and enhancement of tools, health care system interventions, and translation into practice or policy. The four proposals will involve 1) leveraging new technologies to improve pharmacosurveillance;2) making substantial improvements to an electronic medication reconciliation tool;3) using new sources of data from clinical decision support to identify physician-level variation and use these results to improve safety and efficiency;and 4) directly improving medication-related clinical decision support In addition, the HIT-CERT will establish two cores that will support the 4 projects, and which will also enhance our ability to provide rapid response by our multidisciplinary team to requests by the AHRQ program staff and CERT steering committee. The cores will include a methodology/data resources core, and a translation/dissemination core. The proposed HIT-CERT will possess a number of important strengths': a strong and experienced investigator team with deep expertise in the areas of therapeutics and HIT and a long track record of collaborative activities;expertise across a wide range of disciplines, including medical informatics, medicine, nursing, pharmacy, pharmacoepidemiology, clinical epidemiology, biostatistics, health services research, health care policy, and educational theory and research;access to a broad range of electronic health record (EHR), e-prescribing, clinical decision support-related, and clinical data;and strong partnerships with key stakeholders at the national and regional level, to enable us to improve therapeutics in a variety of ways. We believe that this work will help in realizing some of the benefits from the large investment in HIT that the U.S is currently making.

Public Health Relevance

The nation is adopting HIT and electronic prescribing at a rapid pace, and is at the same time faced with enormous challenges because of the high costs and suboptimal care quality. It is therefore imperative that we build our understanding of how HIT in general and electronic prescribing in particular work and do not work, and advance ways it can be leveraged most effectively to improve safety, quality, and efficiency. In particular, developing approaches that leverage medication-related decision support will be important.

Agency
National Institute of Health (NIH)
Institute
Agency for Healthcare Research and Quality (AHRQ)
Type
Research Program--Cooperative Agreements (U19)
Project #
1U19HS021094-01
Application #
8265056
Study Section
Special Emphasis Panel (ZHS1-HSR-X (03))
Program Officer
Zhan, Chunliu
Project Start
2011-09-30
Project End
2016-08-31
Budget Start
2011-09-30
Budget End
2012-08-31
Support Year
1
Fiscal Year
2011
Total Cost
Indirect Cost
Name
Brigham and Women's Hospital
Department
Type
DUNS #
030811269
City
Boston
State
MA
Country
United States
Zip Code
02115
Cornu, Pieter; Phansalkar, Shobha; Seger, Diane L et al. (2018) High-priority and low-priority drug-drug interactions in different international electronic health record systems: A comparative study. Int J Med Inform 111:165-171
Slight, Sarah Patricia; Beeler, Patrick E; Seger, Diane L et al. (2017) A cross-sectional observational study of high override rates of drug allergy alerts in inpatient and outpatient settings, and opportunities for improvement. BMJ Qual Saf 26:217-225
Horsky, Jan; Aarts, Jos; Verheul, Leonie et al. (2017) Clinical reasoning in the context of active decision support during medication prescribing. Int J Med Inform 97:1-11
Cho, Insook; Lee, Jae Ho; Choi, Jinwook et al. (2016) National Rules for Drug-Drug Interactions: Are They Appropriate for Tertiary Hospitals? J Korean Med Sci 31:1887-1896
Her, Qoua L; Amato, Mary G; Seger, Diane L et al. (2016) The frequency of inappropriate nonformulary medication alert overrides in the inpatient setting. J Am Med Inform Assoc 23:924-33
Beeler, Patrick E; Orav, E John; Seger, Diane L et al. (2016) Provider variation in responses to warnings: do the same providers run stop signs repeatedly? J Am Med Inform Assoc 23:e93-8
McMullen, Carmit K; Safford, Monika M; Bosworth, Hayden B et al. (2015) Patient-centered priorities for improving medication management and adherence. Patient Educ Couns 98:102-10
Cho, Insook; Park, Hyeok; Choi, Youn Jeong et al. (2014) Understanding the nature of medication errors in an ICU with a computerized physician order entry system. PLoS One 9:e114243
Phansalkar, Shobha; Zachariah, Marianne; Seidling, Hanna M et al. (2014) Evaluation of medication alerts in electronic health records for compliance with human factors principles. J Am Med Inform Assoc 21:e332-40
Nanji, Karen C; Slight, Sarah P; Seger, Diane L et al. (2014) Overrides of medication-related clinical decision support alerts in outpatients. J Am Med Inform Assoc 21:487-91

Showing the most recent 10 out of 11 publications