: Clinical decision support is key to computerized provider order entry success and safer, more efficient health care. Research at leading academic health centers indicates that when computerized provider order entry (CPOE) is coupled with clinical decision support (CDS), medical errors may decrease and costs drop. However, CPOE with CDS is not used in most community hospitals, which account for approximately 96% of all U.S. hospitals. This gap in CDS implementation between community and teaching hospitals portends serious consequences for health care quality, patient safety, and rising costs. This revised two-year proposal outlines three aims for investigating CDS in community hospitals and collecting and disseminating knowledge about what does and does not work. Research questions are 1) What are barriers to and facilitators for use of different types of CDS in community hospital settings? 2) What strategies have community hospitals and clinics used to lessen the barriers and strengthen the facilitators? Our specific aims are as follows:
AIM1. Identify the barriers/facilitators to CDS at three community hospitals and associated clinics. Our multidisciplinary team will visit three purposively-selected, geographically-distributed community hospital settings that have a range of commercially-available CPOE systems with CDS. We will gather data using a mixed methods approach we call the Rapid Assessment Process, employing a unique combination of qualitative and quantitative methods to gain deep insight into and understanding of CDS issues.
AIM 2. Validate the barriers and facilitators to CDS use identified in these community settings with help from a group of CDS experts. During a two-day retreat, an expert panel of clinical and administrative leaders representing hospitals with CDS, hospital information systems vendors, clinical knowledge management vendors, and informatics will review and enhance the results of our fieldwork and plan strategies for translating this knowledge into practice.
AIM 3. Document the breadth and depth of CDS usage nationally, identify strategies hospitals have used to improve their CDS planning, implementing, monitoring, and modification over time, translate this knowledge into actionable recommendations, and disseminate results. Based on the results of Aims 1 and 2, we will develop, test, and refine a series of questions culminating in a telephone survey, which we will administer to a sample of U.S. hospitals with and without CDS. This semi-structured survey will explore the extent and use of CDS at community hospitals and help us learn how they have addressed various barriers and facilitators to CDS. Following a knowledge translation process, we will disseminate recommendations via the Web, publications, and direct communication to community hospitals. By producing actionable recommendations for CDS design, implementation, evaluation, and national policy development, we aim to maximize the ability of U.S. hospitals to Increase quality, safety and efficiency benefits from CPOE with CDS.

Agency
National Institute of Health (NIH)
Institute
National Library of Medicine (NLM)
Type
Research Project (R01)
Project #
2R01LM006942-07A2
Application #
7524910
Study Section
Biomedical Library and Informatics Review Committee (BLR)
Program Officer
Sim, Hua-Chuan
Project Start
2009-09-30
Project End
2011-09-29
Budget Start
2009-09-30
Budget End
2010-09-29
Support Year
7
Fiscal Year
2009
Total Cost
$773,128
Indirect Cost
Name
Oregon Health and Science University
Department
Biostatistics & Other Math Sci
Type
Schools of Medicine
DUNS #
096997515
City
Portland
State
OR
Country
United States
Zip Code
97239
Ash, Joan S; Sittig, Dean F; McMullen, Carmit K et al. (2015) Multiple perspectives on clinical decision support: a qualitative study of fifteen clinical and vendor organizations. BMC Med Inform Decis Mak 15:35
Singh, Hardeep; Spitzmueller, Christiane; Petersen, Nancy J et al. (2013) Primary care practitioners' views on test result management in EHR-enabled health systems: a national survey. J Am Med Inform Assoc 20:727-35
Sittig, Dean F; Hazlehurst, Brian L; Brown, Jeffrey et al. (2012) A survey of informatics platforms that enable distributed comparative effectiveness research using multi-institutional heterogenous clinical data. Med Care 50 Suppl:S49-59
McCormack, James L; Ash, Joan S (2012) Clinician perspectives on the quality of patient data used for clinical decision support: a qualitative study. AMIA Annu Symp Proc 2012:1302-9
Ash, Joan S; McCormack, James L; Sittig, Dean F et al. (2012) Standard practices for computerized clinical decision support in community hospitals: a national survey. J Am Med Inform Assoc 19:980-7
Wright, Adam; Feblowitz, Joshua C; Pang, Justine E et al. (2012) Use of order sets in inpatient computerized provider order entry systems: a comparative analysis of usage patterns at seven sites. Int J Med Inform 81:733-45
Sittig, Dean F; Singh, Hardeep (2012) Rights and responsibilities of users of electronic health records. CMAJ 184:1479-83
McMullen, C K; Ash, J S; Sittig, D F et al. (2011) Rapid assessment of clinical information systems in the healthcare setting: an efficient method for time-pressed evaluation. Methods Inf Med 50:299-307
Radecki, Ryan P; Sittig, Dean F (2011) Application of electronic health records to the Joint Commission's 2011 National Patient Safety Goals. JAMA 306:92-3
Sittig, Dean F; Wright, Adam; Meltzer, Seth et al. (2011) Comparison of clinical knowledge management capabilities of commercially-available and leading internally-developed electronic health records. BMC Med Inform Decis Mak 11:13

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