A diabetes dashboard and physician efficiency and accuracy in Accessing data needed for high-quality diabetes care

Annals of Family Medicine

Volumn 9, Issue 5, 2011, Pages 398-405

  Koopman, Richelle J ^a   Kochendorfer, Karl M ^a,b   Moore, Joi L ^b   Mehr, David R ^a   Wakefield, Douglas S ^a,b   Yadamsuren, Borchuluun ^b   Coberly, Jared S ^a   Kruse, Robin L ^a   Wakefield, Bonnie J ^b   Belden, Jeffery L ^a,b  

^a University of Missouri   (United States)

^b UNIVERSITY OF MISSOURI   (United States)

Author keywords

Dashboard; Decision support; Diabetes; Electronic health record; Informatics; Information retrieval; Medical records; Office automation; Technology; Workflow

Indexed keywords

ADULT; ARTICLE; COMPUTER INTERFACE; DIABETES MELLITUS; ELECTRONIC MEDICAL RECORD; EVALUATION; FEMALE; GENERAL PRACTITIONER; HEALTH PERSONNEL ATTITUDE; HEALTH SURVEY; HUMAN; INFORMATION PROCESSING; INFORMATION SEEKING; MALE; MIDDLE AGED; PRODUCTIVITY; PSYCHOLOGICAL ASPECT; TASK PERFORMANCE; TIME;

ADULT; ATTITUDE OF HEALTH PERSONNEL; DATA DISPLAY; DIABETES MELLITUS; EFFICIENCY; ELECTRONIC HEALTH RECORDS; FEMALE; HEALTH STATUS INDICATORS; HUMANS; INFORMATION SEEKING BEHAVIOR; MALE; MIDDLE AGED; PHYSICIANS, PRIMARY CARE; TIME AND MOTION STUDIES; TIME FACTORS; USER-COMPUTER INTERFACE;

EID: 80052748443     PISSN: 15441709     EISSN: 15441717     Source Type: Journal    
DOI: 10.1370/afm.1286     Document Type: Article

References (17)

1. Sittig D F, Wright A, Osheroff JA, et al. Grand challenges in clinical decision support. J Biomed Inform. 2008;41(2):387-392.
2. Kirsh D. A few thoughts on cognitive overload. Intellectica. 2000; 30(1):19-51.
3. Rose A F, Schnipper JL, Park ER, Poon EG, Li Q, Middleton B. Using qualitative studies to improve the usability of an EMR. J Biomed Inform. 2005;38(1):51-60.
4. Garg AX, Adhikari NK, McDonald H, et al. Effects of computerized clinical decision support systems on practitioner performance and patient outcomes: a systematic review. JAMA. 2005;293(10):1223-1238.
5. Edsall RL, Adler KG. User satisfaction with EHRs: report of a survey of 422 family physicians. Fam Pract Manag. 2008;15(2):25-32.
6. Edsall RL, Adler KG. The 2009 EHR user satisfaction survey: responses from 2,012 family physicians. Fam Pract Manag. 2009; 16(6):10-16.
7. Miller RH, Sim I. Physicians' use of electronic medical records: barriers and solutions. Health Aff (Millwood). 2004;23(2):116-126.
8. Eligible professional meaningful use core measures. Baltimore, MD: US Department of Health & Human Services, Centers for Medicare & Medicaid Services. 2010. Updated Nov 7, 2010. https://www.cms.gov/EHRIncentivePrograms/30_Meaningful_Use.asp. Accessed August 22, 2011.
9. Field TS, Rochon P, Lee M, et al. Costs associated with developing and implementing a computerized clinical decision support system for medication dosing for patients with renal insuff ciency in the long-term care setting. J Am Med Inform Assoc. 2008;15(4):466-472.
10. Norman DA, Draper SW, eds. User Centered System Design: New Perspectives on Human-Computer Interaction. Hillsdale, NJ: L. Erlbaum Associates; 1986.
11. Tufte ER. The Visual Display of Quantitative Information. Cheshire, CT: Graphics Press; 2001.
12. Morae software, version 2.0.1. Okemos, MI: TechSmith Corporation; 2007.
13. Lundgrén-Laine H, Salanterä S. Think-aloud technique and protocol analysis in clinical decision-making research. Qual Health Res. 2010;20(4):565-575.
14. Charmaz K. Grounded theory: objectivist and constructivist methods. In: Denzin NK, Lincoln YS, eds. Handbook of Qualitative Research. Thousand Oaks, CA: Sage Publications; 2000:509-535.
15. Mitchell E, Sullivan F. A descriptive feast but an evaluative famine: systematic review of published articles on primary care computing during 1980-97. BMJ. 2001;322(7281):279-282.
16. Wilson PW, D'Agostino RB, Levy D, Belanger AM, Silbershatz H, Kannel WB. Prediction of coronary heart disease using risk factor categories. Circulation. 1998;97(18):1837-1847.
17. Thorpe KE, Howard DH. The rise in spending among Medicare benef ciaries: the role of chronic disease prevalence and changes in treatment intensity. Health Aff (Millwood). 2006;25(5):w378-w388.