Michael F. Furukawa

To estimate the relationship between electronic medical record (EMR) use and efficiency of utilization and provider productivity during visits to US office-based physicians. Cross-sectional analysis of the 2006-2007 National Ambulatory Medical Care Survey. The sample included 62,710 patient visits to 2625 physicians. EMR systems included demographics, clinical notes, prescription orders, and laboratory and imaging results. Efficiency was measured as utilization of examinations, laboratory tests, radiology procedures, health education, nonmedication treatments, and medications. Productivity was measured as total services provided per 20-minute period. Survey-weighted regressions estimated association of EMR use with services provided, visit intensity/duration, and productivity. Marginal effects were estimated by averaging across all visits and by major reason for visit. EMR use was associated with higher probability of any examination (7.7%, 95% confidence interval [CI] = 2.4%, 13.1%); any laboratory test (5.7%, 95% CI = 2.6%, 8.8%); any health education (4.9%, 95% CI = 0.2%, 9.6%); and fewer laboratory tests (-7.1%, 95% CI = -14.2%, -0.1%). During pre/post surgery visits, EMR use was associated with 7.3% (95% CI= -12.9%, -1.8%) fewer radiology procedures. EMR use was not associated with utilization of nonmedication treatments and medications, or visit duration. During routine visits for a chronic problem, EMR use was associated with 11.2% (95% CI = 5.7%, 16.8%) more diagnostic/screening services provided per 20-minute period. EMR use had a mixed association with efficiency and productivity during office visits. EMRs may improve provider productivity, especially during visits for a new problem and routine chronic care.

Electronic medical records (EMR) have the potential to improve nursing care in the hospital setting. This study estimated the association of EMR implementation with nurse staffing levels, skill mix, contract/agency percent, and nurse-sensitive patient outcomes in U.S. hospitals. Data on nurse staffing and patient outcomes came from the 2004-2008 National Database of Nursing Quality Indicators. Data on EMR implementation came from the 2004-2008 HIMSS Analytics Database. The authors conducted a longitudinal analysis of an unbalanced panel of 3,048 medical/surgical units in 509 short-term, general acute care hospitals. EMR implementation was associated with lower total nurse hours per patient day, higher Registered Nurse percent and contract/agency percent, and higher adverse patient events in the short term. EMR may create a skill bias toward higher-skilled nurses. As more advanced EMR systems diffuse into practice, managers and policy makers should consider potential negative associations of EMR implementation with patient safety.

Objective. To estimate the effects of electronic medical records (EMR) implementation on medical‐surgical acute unit costs, length of stay, nurse staffing levels, nursing skill mix, nurse cost per hour, and nurse‐sensitive patient outcomes.Data Sources. Data on EMR implementation came from the 1998–2007 HIMSS Analytics Databases. Data on nurse staffing and patient outcomes came from the 1998–2007 Annual Financial Disclosure Reports and Patient Discharge Databases of the California Office of Statewide Health Planning and Development (OSHPD).Methods. Longitudinal analysis of an unbalanced panel of 326 short‐term, general acute care hospitals in California. Marginal effects estimated using fixed effects (within‐hospital) OLS regression.Principal Findings. EMR implementation was associated with 6–10 percent higher cost per discharge in medical‐surgical acute units. EMR stage 2 increased registered nurse hours per patient day by 15–26 percent and reduced licensed vocational nurse cost per hour by 2–4 percent. EMR stage 3 was associated with 3–4 percent lower rates of in‐hospital mortality for conditions.Conclusions. Our results suggest that advanced EMR applications may increase hospital costs and nurse staffing levels, as well as increase complications and decrease mortality for some conditions. Contrary to expectation, we found no support for the proposition that EMR reduced length of stay or decreased the demand for nurses.

This study examined the relationship between electronic medical records (EMR) sophistication and the efficiency of U.S. hospital emergency departments (EDs). Using data from the 2006 National Hospital Ambulatory Medical Care Survey, survey-weighted ordinary least squares regressions were used to estimate the association of EMR sophistication with ED throughput and probability a patient left without treatment. Instrumental variables were used to test for the presence of endogeneity and reverse causality. Greater EMR sophistication had a mixed association with ED efficiency. Relative to EDs with minimal or no EMR, fully functional EMR was associated with 22.4% lower ED length of stay and 13.1% lower diagnosis/treatment time. However, the relationships varied by patient acuity level and diagnostic services provided. Surprisingly, EDs with basic EMR were not more efficient on average, and basic EMR had a nonlinear relationship with efficiency that varied with the number of EMR functions used.

This study examines the impact of electronic medical records (EMRs) on cost efficiency in hospital medical-surgical units. Using panel data on California hospitals from 1998 to 2007, we employed stochastic frontier analysis (SFA) to estimate the relationships between EMR implementation and the cost inefficiency of medical-surgical units. We categorized EMR implementation into three stages based on the level of sophistication. We also examined the effects of specific EMR systems on cost inefficiency. Our SFA models addressed potential bias from unobserved heterogeneity and heteroskedasticity. EMR Stages 1 and 2, nursing documentation, electronic medication administration records, and clinical decision support were associated with significantly higher inefficiency.

Health information technology (IT) is regarded as an essential tool to improve patient safety, and a range of initiatives to address patient safety are under way. Using data from a comprehensive, national survey from HIMSS Analytics, we analyzed the extent of health IT adoption for medication safety in U.S. hospitals in 2006. Our findings indicate wide variation in health IT adoption by type of technology and geographic location. Hospital size, ownership, teaching status, system membership, payer mix, and accreditation status are associated with health IT adoption, although these relationships differ by type of technology. Hospitals in states with patient safety initiatives have greater adoption rates.

Although information technology (IT) may improve efficiency and quality of patient care, the adoption of clinical IT by physicians has been limited. This study investigates the relationships between physician practice revenue and use of clinical IT. We undertook a cross-sectional analysis of data on 6849 U.S. physicians in physician-owned practices who responded to the 2000-2001 Community Tracking Study Physician Survey. Physician practice revenues, measured as the percentage of total revenues, is defined along 2 dimensions: type (capitation, noncapitated managed care, or fee-for-service) and source (Medicare, Medicaid, or private/other). Analyses were adjusted for physician and practice characteristics and geographic location. The proportion of physicians using IT for 5 functions of patient care: treatment guidelines, formularies, patient notes or lists, electronic prescriptions, and data exchange with other physicians. Practice revenues are associated with differences in physicians' use of IT in patient care. Above-average Medicaid revenue was associated with 20% higher use of IT overall (incidence density ratio = 1.20, 95% confidence interval [CI] = 1.12-1.30). Above-average capitation revenue corresponds to higher use of IT overall (incidence density ratio = 1.10, 95% CI = 1.02-1.19) and greater odds of using IT for guidelines (odds ratio = 1.26, 95% CI = 1.05-1.53). Above-average noncapitated managed care revenue, however, has no apparent relationship with IT use. Differences in the type and source of physician revenues were associated with differences in the use of IT in patient care in 2000-2001. The relationships between practice revenues and IT use varied across clinical IT functions.