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This article looks at how health care IT can save hospitals and health services valuable funding and how these saving compare to the costs involved. The chief barriers to success and possible solutions to these difficulties are outlined. The author also points to the need for government intervention in implementing health care IT on a board scale.
While a major objective of CPOE is to reduce medication errors, its introduction is a major system change that may result in unintended outcomes. Monitoring voluntarily-reported medication errors in a university setting was used to identify the impact of initial CPOE implementation on medical-surgical and intensive care units. A retrospective trend analysis was used to compare errors one year before and six months after implementation. Total error reports increased post-CPOE but the level of patient harm related to those errors decreased. Numerous modifications were made to the system and the implementation process. The study supports the notion that CPOE configuration and implementation influences the risk of medication errors. Implementation teams should incorporate monitoring medication errors into project plans and expect to make ongoing changes to continually support the design of a safer care delivery environment.
PURPOSE: Medication errors contribute significantly to the morbidity and costs of pediatric health care. The authors hypothesized that hospitalwide computerized physician order entry (CPOE) in a pediatric hospital would lead to a decrease in medication errors. METHODS: The authors retrospectively evaluated and prospectively analyzed inpatient discharge and usage and adverse drug event (ADE) rate data pre- and postintroduction of a hospitalwide implementation of CPOE in a tertiary care pediatric hospital. They compared pre- and postintervention ADEs (Student's t test) and computed the number needed to treat (NNT) analog. RESULTS: Over the 9-month study period, there were 45,615 in patient days and 8619 discharges. Pre-CPOE verbal order regulatory compliance was 80%, whereas post-CPOE increased to 95%. Transcription errors were eliminated. All ADEs pre-CPOE were 0.3 +/- 0.04 per 1000 doses, whereas post-CPOE ADEs were 0.37 +/- 0.05 per 1000 doses (P = .3). Harmful ADEs pre-CPOE were 0.05 +/- 0.017 per 1000 doses, while post-CPOE ADEs were 0.03 +/- 0.003 per 1000 doses (P = .05). Our NNT data demonstrate that CPOE would prevent 1 ADE every 64 (95% CI 25-100) patient days. CONCLUSIONS: CPOE decreases harmful ADEs in a pediatric hospital, thus leading to increased patient safety. In addition, CPOE provides an automated system for monitoring and improving health care quality.
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OBJECTIVE: To implement and evaluate the impact of computerized provider order entry (CPOE) on reducing ordering errors in pediatric chemotherapy. DESIGN: Before-and-after study from 2001 to 2004. SETTING: Pediatric Oncology in an academic medical center. INTERVENTION: Implementation of a CPOE system guided by multidisciplinary failure modes and effects analysis into pediatric chemotherapy. MAIN OUTCOME MEASURES: Completion data on chemotherapy steps of high morbidity/mortality potential if missed (as determined by attending oncologists) from 1259 pre-CPOE paper and 1116 post-CPOE pediatric chemotherapy orders. RESULTS: After CPOE deployment, daily chemotherapy orders were less likely to have improper dosing (relative risk [RR], 0.26; 95% confidence interval [CI], 0.11-0.61), incorrect dosing calculations (RR, 0.09; 95% CI, 0.03-0.34), missing cumulative dose calculations (RR, 0.32; 95% CI, 0.14-0.77), and incomplete nursing checklists (RR, 0.51; 95% CI, 0.33-0.80). There was no difference in the likelihood of improper dosing on treatment plans and a higher likelihood of not matching medication orders to treatment plans (RR, 5.4; 95% CI, 3.1-9.5). CONCLUSION: Failure modes and effects analysis-guided CPOE reduced ordering errors in pediatric chemotherapy and provided data for further improvements.
OBJECTIVES: This study describes a computer simulation model that has been developed to explore organizational changes required to improve patient safety based on a medication error reporting system. METHODS: Model parameters for the simulation model were estimated from data submitted to the MEDMARX medication error reporting system from 570 healthcare facilities in the U.S. The model's results were validated with data from the Pittsburgh Regional Healthcare Initiative consisting of 44 hospitals in Pennsylvania that have adopted the MEDMARX medication error reporting system. The model was used to examine the effects of organizational changes in response to the error reporting system. Four interventions were simulated involving the implementation of computerized physician order entry, decision support systems and a clinical pharmacist on hospital rounds. CONCLUSIONS: Results of the analysis indicate that improved patient safety requires more than clinical initiatives and voluntary reporting of errors. Organizational change is essential for significant improvements in patient safety. In order to be successful, these initiatives must be designed and implemented through organizational support structures and institutionalized through enhanced education, training, and implementation of information technology that improves work flow capabilities.
Insurance denials delay payments for tests to medical institutions and can decrease patient satisfaction due to unexpected billing. Our institution utilizes an ambulatory electronic health record (EHR) for routine clinical care that includes computerized physician order entry (CPOE). At our institution as well as others, considerable cost is associated with inappropriate diagnostic coding of needed procedures and tests by the physician. We developed a series of CPOE alerts and order sets targeting specific tests to address this problem. As a result, preliminary data shows that insurance denials fell by up to 37% for the targeted tests.
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Facilities with CPOE in place had fewer hospital-based errors and more outpatient errors than those without a CPOE system. Databases can be useful in identifying specific types of errors related to CPOE. Most effective strategy for evaluating a CPOE system would involve a pre/post study.
OBJECTIVE: Computerized Provider Order Entry (CPOE) with electronic documentation, and computerized decision support dramatically changes the information environment of the practicing clinician. Prior work patterns based on paper, verbal exchange, and manual methods are replaced with automated, computerized, and potentially less flexible systems. The objective of this study is to explore the information management strategies that clinicians use in the process of adapting to a CPOE system using cognitive task analysis techniques. DESIGN: Observation and semi-structured interviews were conducted with 88 primary-care clinicians at 10 Veterans Administration Medical Centers. MEASUREMENTS: Interviews were taped, transcribed, and extensively analyzed to identify key information management goals, strategies, and tasks. Tasks were aggregated into groups, common components across tasks were clarified, and underlying goals and strategies identified. RESULTS: Nearly half of the identified tasks were not fully supported by the available technology. Six core components of tasks were identified. Four meta-cognitive information management goals emerged: 1) Relevance Screening; 2) Ensuring Accuracy; 3) Minimizing memory load; and 4) Negotiating Responsibility. Strategies used to support these goals are presented. CONCLUSION: Users develop a wide array of information management strategies that allow them to successfully adapt to new technology. Supporting the ability of users to develop adaptive strategies to support meta-cognitive goals is a key component of a successful system.
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BACKGROUND: Despite the growing use of error reporting tools, the healthcare industry is inexperienced in receiving, understanding, and analyzing these reports. OBJECTIVE: To assess the accuracy and define the epidemiology of medication error reports. DESIGN, SETTING, AND PATIENTS: A retrospective cohort study of 581 error reports containing 1010 medication errors reported between July 2001 and January 2003 at a large academic children's institution. MAIN OUTCOME MEASURES: Correct classification and types of medication errors. RESULTS: Of the 1010 medication errors reviewed, 298 (30%) were prescribing errors, 245 (24%) were dispensing errors, 410 (41%) were administration errors, and 57 (6%) involved medication administration records (MAR). Following expert review, 208 errors (21%) were deleted because they had been inappropriately coded as errors and 97 (10%) were added as they were not initially coded despite having occurred. In addition, 352 medication error reports needed to have the subtype of error reclassified; 207 (59%) of these involved the reporter choosing the non-descript "other" category on the reporting tool (such as "Prescribing other") which was able to be reclassified by expert review. The overall distribution of error type categories did not change significantly with expert review, although only MAR errors were underreported by the reporters. The most common medications were anti-infectives (17%), pain/sedative agents (15%), nutritional agents (11%), gastrointestinal agents (8%), and cardiovascular agents (7%). CONCLUSIONS: Despite clear imperfections in the data captured, medication error reporting tools are effective as a means of collecting reliable information on errors rapidly and in real time. Our data suggest that administration errors are at least as common as prescribing errors in children. Further research is needed, not only in the area of computerized physician order entry (CPOE) for children, but also on ways to make the dispensing and administration of medications safer.
OBJECTIVE: Computerized physician order entry with clinical decision support has been shown to improve medication safety in adult inpatients, but few data are available regarding its usefulness in the long-term care setting. The objective of this study was to examine opportunities for improving medication safety in that clinical setting by determining the proportion of medication orders that would generate a warning message to the prescriber via a computerized clinical decision support system and assessing the extent to which these alerts would affect prescribers' actions. DESIGN: The study was set within a randomized controlled trial of computerized clinical decision support conducted in the long-stay units of a large, academically-affiliated long-term care facility. In March 2002, a computer-based clinical decision support system (CDSS) was added to an existing computerized physician order entry (CPOE) system. Over a subsequent one-year study period, prescribers ordering drugs for residents on three resident-care units of the facility were presented with alerts; these alerts were not displayed to prescribers in the four control units. MEASUREMENTS: We assessed the frequency of drug orders associated with various categories of alerts across all participating units of the facility. To assess the impact of actually receiving an alert on prescriber behavior during drug ordering, we calculated separately for the intervention and control units the proportion of the alerts, within each category, that were followed by an appropriate action and estimated the relative risk of an appropriate action in the intervention units compared to the control units. RESULTS: During the 12 months of the study, there were 445 residents on the participating units of the facility, contributing 3,726 resident-months of observation time. During this period, 47,997 medication orders were entered through the CPOE system-approximately 9 medication orders per resident per month. 9,414 alerts were triggered (2.5 alerts per resident-month). The alert categories most often triggered were related to risks of central nervous system side-effects such as over-sedation (20%). Alerts for risk of drug-associated constipation (13%) or renal insufficiency/electrolyte imbalance (12%) were also common. Twelve percent of the alerts were related to orders for warfarin. Overall, prescribers who received alerts were only slightly more likely to take an appropriate action (relative risk 1.11, 95% confidence interval 1.00, 1.22). Alerts related to orders for warfarin or central nervous system side effects were most likely to engender an appropriate action, such as ordering a recommended laboratory test or canceling an ordered drug. CONCLUSION: Long-term care facilities must implement new system-level approaches with the potential to improve medication safety for their residents. The number of medication orders that triggered a warning message in this study suggests that CPOE with a clinical decision support system may represent one such tool. However, the relatively low rate of response to these alerts suggests that further refinements to such systems are required, and that their impact on medication errors and adverse drug events must be carefully assessed.
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Condition-specific order sets within computerized physician order entry (CPOE) systems are designed to decrease unnecessary practice variation and to promote evidence-based practice. This study quantitatively assessed the relationship between use of a computerized order set and processes of care in inpatient pediatric asthma treatment, and qualitatively assessed user attitudes toward order set use. The study population included 790 patients with a primary diagnosis of asthma admitted to Columbus Children's Hospital between November 1, 2001 and November 30, 2003. Rates of systemic corticosteroid (SCS) use, metered-dose inhaler use, and pulse oximetry (PulseOx) were calculated for three patient groups: those admitted prior to order set implementation ('pre-set'); those admitted after implementation but without the order set used ('no set'); and those admitted after implementation with the order set used ('set'). Financial measures of length of stay, total charges, and pharmacy charges were also calculated. Focus groups exploring attitudes about order sets were held with physician users of order sets. Order set patients were significantly more likely to receive SCS and PulseOx than 'pre-set' and 'no set' patients. 'No set' patients did not differ significantly from 'pre-set' patients. No significant differences were found in financial measures. Results from focus groups suggested that order set use would be optimized by promoting order set awareness and maximizing order set quality. These results give further credence to policy-makers' calls for expanded use of CPOE systems with condition-specific order sets to facilitate provision of evidence-based care.
BACKGROUND: Medication errors are common among inpatients and many are preventable with computerized prescribing. Relatively little is known about outpatient prescribing errors or the impact of computerized prescribing in this setting. OBJECTIVE: To assess the rates, types, and severity of outpatient prescribing errors and understand the potential impact of computerized prescribing. DESIGN: Prospective cohort study in 4 adult primary care practices in Boston using prescription review, patient survey, and chart review to identify medication errors, potential adverse drug events (ADEs) and preventable ADEs. PARTICIPANTS: Outpatients over age 18 who received a prescription from 24 participating physicians. RESULTS: We screened 1879 prescriptions from 1202 patients, and completed 661 surveys (response rate 55%). Of the prescriptions, 143 (7.6%; 95% confidence interval (CI) 6.4% to 8.8%) contained a prescribing error. Three errors led to preventable ADEs and 62 (43%; 3% of all prescriptions) had potential for patient injury (potential ADEs); 1 was potentially life-threatening (2%) and 15 were serious (24%). Errors in frequency (n=77, 54%) and dose (n=26, 18%) were common. The rates of medication errors and potential ADEs were not significantly different at basic computerized prescribing sites (4.3% vs 11.0%, P=.31; 2.6% vs 4.0%, P=.16) compared to handwritten sites. Advanced checks (including dose and frequency checking) could have prevented 95% of potential ADEs. CONCLUSIONS: Prescribing errors occurred in 7.6% of outpatient prescriptions and many could have harmed patients. Basic computerized prescribing systems may not be adequate to reduce errors. More advanced systems with dose and frequency checking are likely needed to prevent potentially harmful errors.