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1.
J Am Med Inform Assoc ; 21(e1): e71-7, 2014 Feb.
Article in English | MEDLINE | ID: mdl-23842938

ABSTRACT

OBJECTIVE: To evaluate if electronic health records (EHR) with prior clinical information have observable effects for patients with diabetes presenting to emergency departments (ED), we examined measures of quality and resource utilization. MATERIALS AND METHODS: Retrospective observational studies of patients in three ED (A=5510; B=4393; C=3324) were conducted comparing patients with prior information in the EHR to those without such information. Differences with respect to hospitalization, mortality, length of stay (LOS), and numbers of ED orders for tests, procedures and medications were examined after adjusting for age, gender, race, marital status, comorbidities and for acuity level within each ED. RESULTS: There were 7% fewer laboratory test orders at one ED and 3% fewer at another; fewer diagnostic procedures were performed at two of the sites. At one site 36% fewer medications were ordered. The odds of being hospitalized were lower for EHR patients at one site and hospital LOS was shorter at two of the sites. EHR patient ED LOS was 18% longer at one site. There was no demonstrable impact of an EHR on mortality. Results varied in magnitude and direction by site. DISCUSSION: The pattern of significant results varied by ED but tended to reveal reduced utilization and better outcomes for patients although EHR patients' ED LOS was longer at one site. CONCLUSIONS: The presence of prior information in an EHR may be a valuable adjunct in the care of diabetes patients in ED settings but the pattern of impact may vary from ED to ED.


Subject(s)
Diabetes Mellitus , Electronic Health Records , Emergency Service, Hospital/organization & administration , Health Resources/statistics & numerical data , Aged , Clinical Laboratory Techniques/statistics & numerical data , Diabetes Mellitus/diagnosis , Diabetes Mellitus/drug therapy , Female , Hospitalization/statistics & numerical data , Humans , Length of Stay , Male , Middle Aged , Minnesota , Quality of Health Care , Retrospective Studies
2.
J Am Med Inform Assoc ; 19(3): 334-40, 2012.
Article in English | MEDLINE | ID: mdl-22071528

ABSTRACT

OBJECTIVE: To evaluate if electronic health records (EHR) have observable effects on care outcomes, we examined quality and efficiency measures for patients presenting to emergency departments (ED). MATERIALS AND METHODS: We conducted a retrospective study of 5166 adults with heart failure in three metropolitan EDs. Patients were termed internal if prior information was in the EHR upon ED presentation, otherwise external. Associations of internality with hospitalization, mortality, length of stay (LOS), and numbers of tests, procedures, and medications ordered in the ED were examined after adjusting for age, gender, race, marital status, comorbidities and hospitalization as a proxy for acuity level where appropriate. RESULTS: At two EDs internals had lower odds of mortality if hospitalized (OR 0.55; 95% CI 0.38 to 0.81 and 0.45; 0.21 to 0.96), fewer laboratory tests during the ED visit (-4.6%; -8.9% to -0.1% and -14.0%; -19.5% to -8.1%) as well as fewer medications (-33.6%; -38.4% to -28.4% and -21.3%; -33.2% to -7.3%). At one of these two EDs, internals had lower odds of hospitalization (0.37; 0.22 to 0.60). At the third ED, internal patients only experienced a prolonged ED LOS (32.3%; 6.3% to 64.8%) but no other differences. There was no association with hospital LOS or number of procedures ordered. DISCUSSION: EHR availability was associated with salutary outcomes in two of three ED settings and prolongation of ED LOS at a third, but evidence was mixed and causality remains to be determined. CONCLUSIONS: An EHR may have the potential to be a valuable adjunct in the care of heart failure patients.


Subject(s)
Electronic Health Records , Heart Failure/therapy , Medical Record Linkage , Outcome Assessment, Health Care , Adult , Aged , Cross-Sectional Studies , Emergencies , Female , Hospital Mortality , Humans , Length of Stay , Logistic Models , Male , Minnesota , Patient Admission , Retrospective Studies , Survival Analysis , Unnecessary Procedures/statistics & numerical data
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