Computerized patient records aren't much good if doctors don't use them. Here's how one hospital got its physicians online.
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INTRODUCTION: Medication errors in the intensive care unit (ICU) are frequent and lead to attributable patient morbidity and mortality, increased length of ICU stay and substantial extra costs. We investigated if the introduction of a computerized ICU system (Centricity Critical Care Clinisoft, GE Healthcare) reduced the incidence and severity of medication prescription errors (MPEs). METHODS: A prospective trial was conducted in a paper-based unit (PB-U) versus a computerized unit (C-U) in a 22-bed ICU of a tertiary university hospital. Every medication order and medication prescription error was validated by a clinical pharmacist. The registration of different classes of MPE was done according to the National Coordinating Council for Medication Error Reporting and Prevention guidelines. An independent panel evaluated the severity of MPEs. We identified three groups: minor MPEs (no potential to cause harm); intercepted MPEs (potential to cause harm but intercepted on time); and serious MPEs (non-intercepted potential adverse drug events (ADE) or ADEs, being MPEs with potential to cause, or actually causing, patient harm). RESULTS: The C-U and the PB-U each contained 80 patient-days, and a total of 2,510 medication prescriptions were evaluated. The clinical pharmacist identified 375 MPEs. The incidence of MPEs was significantly lower in the C-U compared with the PB-U (44/1286 (3.4%) versus 331/1224 (27.0%); P < 0.001). There were significantly less minor MPEs in the C-U than in the PB-U (9 versus 225; P < 0.001). Intercepted MPEs were also lower in the C-U (12 versus 46; P < 0.001), as well as the non-intercepted potential ADEs (21 versus 48; P < 0.001). There was also a reduction of ADEs (2 in the C-U versus 12 in the PB-U; P < 0.01). No fatal errors occurred. The most frequent drug classes involved were cardiovascular medication and antibiotics in both groups. Patients with renal failure experienced less dosing errors in the C-U versus the PB-U (12 versus 35 serious MPEs; P < 0.001). CONCLUSION: The ICU computerization, including the medication order entry, resulted in a significant decrease in the occurrence and severity of medication errors in the ICU.
This article uses a model for technology-enabled organizational transformation to analyze a case study of computerized order entry at a medium-sized, urban hospital. The hospital achieved initial goals for direct order entry by physicians and improvements in patient care and is now using the system to implement disease management policies. The authors use the model to examine decisions and actions that facilitated or constrained effective implementation of the system and discuss the model's implications for managing implementation of computerized order entry technologies in health care systems.
Computerized information systems have become an indispensable source of quality improvement data in the healthcare field. The degree to which we are successful in using these systems is limited only by our ability to ask the right questions. In this study, computerized patient records were used to evaluate the uniformity in the prescribing patterns for oral corticosteroids among house staff and attending physicians as a measure of the adequacy of resident supervision in the outpatient setting. Retrospective analysis of the records of 771 outpatients receiving prescriptions for oral corticosteroid preparations over 1 year in a large tertiary-care university-affiliated Department of Veterans Affairs Medical Center indicated different prescribing patterns for attending physicians and house staff. Additionally, it was noted that house staff tended to manage more complex patients than did attending physicians. We further evaluated the clinical outcomes of these patients to assess the quality, appropriateness, and comparability of care within cohorts of patients and to determine the degree to which resident supervision may have affected outcomes. The study results suggest that there is an opportunity to improve the management of patients treated with oral corticosteroid therapy by increasing staff physician involvement either through direct care of the most complex cases or through enhanced resident supervision.
While it is widely written that advanced clinical information systems can help healthcare organizations reduce adverse medical events and increase patient safety, Alamance Regional Medical Center (ARMC) has proven that it truly does. ARMC chose Eclipsys' Sunrise Clinical Manager for its ability to provide knowledge-based clinical decision support and its alert capabilities at the time of order entry. Since its organization-wide rollout in summer 2000, ARMC has been using the computerized physician order entry (CPOE) system with widespread success and has transformed the care delivery process.
If you don't already have it, get ready for it. Computerized physician order entry (CPOE) is most likely coming your way. Discover some of the ifs, ands and buts of identifying and implementing a CPOE systems.
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User satisfaction with a computerized practitioner order-entry (POE) system at two military health care facilities was studied. A survey was mailed in May 1998 to providers authorized to enter drug orders into the Composite Health Care System (CHCS) (including two clinical pharmacists) and pharmacy staff members at two department of defense (DOD) medical treatment facilities. Of 189 questionnaires with the potential to be returned completed, 112 were usable, for a net response rate of 59.3%. The internal consistency of the survey items measuring user satisfaction (Cronbach's alpha) was 0.86. The typical respondent was male, was employed by the DOD, had fair to excellent computer and typing skills, had received eight hours or less of training on the CHCS POE system, had been using the system for two years or less, and had been a health care practitioner for 10 years or less. Overall, users were satisfied with the POE system (mean +/- S.D. rating of 3.78 +/- 0.87 on a 5-point scale where 5 represented the highest satisfaction level). Satisfaction was correlated most strongly with ratings of the POE system's efficiency. Nonphysicians were more satisfied, on average, than physicians. No significant relationship was found between other individual characteristics and satisfaction. Qualitative analysis reinforced the finding that users were interested in efficiency issues. Overall, users at two military health care facilities were satisfied with a computerized POE system. Satisfaction was most strongly correlated with the perceived efficiency of the system.
Computerized physician order entry has been shown to reduce the frequency of serious medication errors. Decision support tools such as alerting functions for patient medication allergy are a key part of these applications. However, optimal performance requires iterative refinement. As systems become increasingly complex, mechanisms to monitor their performance become increasingly critical. We analyzed trend data obtained over a five-year period that showed decreasing compliance to allergy alert functions within computerized order entry. Many medication-allergy pairs were being consistently overridden. Renewal policies affecting reordering narcotics also contributed heavily to this trend. Each factor revealed a system-wide trend that could result in suggestions for policy or software change. Monitoring trends such as these is very important to maintain software correctness and ensure user trust in alerting systems, so users remain responsive to computerized alerts.
Although computerization is increasingly advocated as a means for hospitals to enhance quality of care and control costs, few studies have evaluated its impact on the day-to-day organization of medical work. This study investigated a large Computerized Patient Record (CPR) project ($50 million U.S.) aimed at allowing physicians to work in a completely electronic record environment. The present multiple-case study analyzed the implementation of this project conducted in four hospitals. Our results show the intricate complexity of introducing the CPR in medical work. Profound obstructions to the achievement of a tighter synchronization between the care and information processes were the main problems. The presence of multiple information systems in one (Communication, Decision Support, and Archival record keeping) was overlooked. It introduced several misconceptions in the meaning and codification of clinical information that were then torn apart between information richness to sustain clinical decisions and concision to sustain care coordination.
Dr Bates discusses the challenges and rewards of computerized physician order entry and other information technology applications and describes current work in improving medication safety across clinical settings.
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Computerized physician order entry (CPOE) eliminates illegible handwriting, reduces medical errors, and improves patient care. The administration, medical staff, nursing, and health information systems departments of a community teaching hospital cooperated to achieve organization-wide use of its CPOE system.
BACKGROUND: Although computerized physician order entry reduces medication errors among inpatients, little is known about the use of this system in primary care. METHODS: We calculated the override rate among 3481 consecutive alerts generated at 5 adult primary care practices that use a common computerized physician order entry system for prescription writing. For detailed review, we selected a random sample of 67 alerts in which physicians did not prescribe an alerted medication and 122 alerts that resulted in a written prescription. We identified factors associated with the physicians' decisions to override a medication alert, and determined whether an adverse drug event (ADE) occurred. RESULTS: Physicians overrode 91.2% of drug allergy and 89.4% of high-severity drug interaction alerts. In the multivariable analysis using the medical chart review sample (n = 189), physicians were less likely to prescribe an alerted medication if the prescriber was a house officer (odds ratio [OR], 0.26; 95% confidence interval [CI], 0.08-0.84) and if the patient had many drug allergies (OR, 0.70; 95% CI, 0.53-0.93). They were more likely to override alerts for renewals compared with new prescriptions (OR, 17.74; 95% CI, 5.60-56.18). We found no ADEs in cases where physicians observed the alert and 3 ADEs among patients with alert overrides, a nonsignificant difference (P =.55). Physician reviewers judged that 36.5% of the alerts were inappropriate. CONCLUSIONS: Few physicians changed their prescription in response to a drug allergy or interaction alert, and there were few ADEs, suggesting that the threshold for alerting was set too low. Computerized physician order entry systems should suppress alerts for renewals of medication combinations that patients currently tolerate.
Computerization of patient information is no longer just a nice extra; for the healthcare system of the future, it's a necessity. Hospitals' experience shows that the right type of system can save big money. The trick is to have a system that clinicians really want to use.
BACKGROUND: Computerized order entry systems have the potential to prevent errors, to improve quality of care, and to reduce costs by providing feedback and suggestions to the physician as each order is entered. This study assesses the impact of an inpatient computerized physician order entry system on prescribing practices. METHODS: A time series analysis was performed at an urban academic medical center at which all adult inpatient orders are entered through a computerized system. When physicians enter drug orders, the computer displays drug use guidelines, offers relevant alternatives, and suggests appropriate doses and frequencies. RESULT: For medication selection, use of a computerized guideline resulted in a change in use of the recommended drug (nizatidine) from 15.6% of all histamine(2)-blocker orders to 81.3% (P<.001). Implementation of dose selection menus resulted in a decrease in the SD of drug doses by 11% (P<.001). The proportion of doses that exceeded the recommended maximum decreased from 2.1% before order entry to 0.6% afterward (P<.001). Display of a recommended frequency for ondansetron hydrochloride administration resulted in an increase in the use of the approved frequency from 6% of all ondansetron orders to 75% (P<.001). The use of subcutaneous heparin sodium to prevent thrombosis in patients at bed rest increased from 24% to 47% when the computer suggested this option (P<.001). All these changes persisted at 1- and 2-year follow-up analyses. CONCLUSION: Computerized physician order entry is a powerful and effective tool for improving physician prescribing practices.
User satisfaction is commonly assessed in evaluations of information systems as a proxy for user adoption. However few studies actually report directly assessing the relationship between the two constructs. In this study the relationship between four user satisfaction measures and five adoption behaviors were explored in the context of the implementation of the Veteran's Health Administration Computerized Patient Record System 1.0. Findings suggest that the relationship is modest and depends on the measurement system used. Specifically, direct reports of affect and judgements of specific task efficacy related to behavior more often than usability and a general user satisfaction instrument.
BACKGROUND: Frequently changing immunization recommendations may lead to incorrectly administered doses. OBJECTIVE: To determine the incidence and characteristics of inappropriately timed vaccinations. METHODS: Prospectively collected immunization histories of patients <5 years old from well-child care encounters with pediatric residents in a large urban clinic during a 3-month study period. New patients or those with no immunization history in the medical record were excluded. Paper records were verified before each visit and served as the immunization history. Immunization records were entered into and analyzed by the Massachusetts Immunization Information System with strict interpretation of minimum spacing and age guidelines to identify invalid vaccine doses. Reasons for invalidity were determined by manual review. Invalid doses were cross-referenced with clinic schedule to determine who delivered doses. RESULTS: Inclusion criteria were met by 690 encounters. Charts were available for review before the encounter for 580, containing 6983 total immunizations. Of these 289 (4.1%) administered doses were invalid; 206 of 580 (35.5%) patients had at least one invalid dose. Common invalid doses given were unnecessary poliovirus vaccine around 18 months (n = 66) and second hepatitis B vaccine given too soon after the first (n = 53). All types of providers gave invalid doses; pediatric residents and fellows delivered significantly more (P < 0.01). CONCLUSIONS: By strict interpretation of immunization guidelines, many patients were immunized incorrectly. Clinicians should be aware of common errors in vaccine dosing and national guidelines should be simplified.