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Model analysis of time duration in a medication order entry system with attention to do-medication orders.

To investigate the relative time length needed for a medication computer order entry in comparison with the handwritten prescription system, we made a model, focusing our attention on the "do-medication order entry function." In the model analysis, we conducted a statistical analysis using the Nagoya University Hospital Information System. From the results and our model, if the time needed to make one (drug) item medication order entry is less than 1.9-3.0 times the time needed for handwriting one item prescription, computer order entry is faster on average.

Algorithms↗

Implementation of a computerized physician medication order entry system at the Academic Medical Centre in Amsterdam.

In the period 1997-2001 the Academic Medical Centre in Amsterdam implemented the computerized physician medication order entry (CPmOE) system Medicator. This article describes several important aspects of this program: technological architecture, features, implementation project, authentication and training, continuous support, human resource investments, route of prescription, logistics and administration. Furthermore important advantages and disadvantages of the CPmOE system are discussed. Advantages mainly concern patient safety and drug logistics, while disadvantages are related to access to a computer, user friendliness of the software and printer problems.

Academic Medical Centers↗

Evaluation of laboratory monitoring alerts within a computerized physician order entry system for medication orders.

BACKGROUND: Errors involving medication use are common. Computerized physician order entry (CPOE) can improve prescribing practices. Few studies have examined the effect of CPOE in combination with decision support tools on prescribing practices in the outpatient setting. Less is known about prescribers' adherence to laboratory monitoring recommendations. OBJECTIVE: To evaluate if reminders presented during CPOE for medications would increase physicians' compliance with guidelines for laboratory monitoring at initiation of therapy. STUDY DESIGN: Randomized prospective intervention study. METHODS: Two hundred seven primary care physicians in a group-model managed care organization were randomized to receive or not receive drug laboratory monitoring alerts within the CPOE system. Adherence to laboratory monitoring recommendations for patients prescribed selected medications was compared between physician groups. RESULTS: There was no significant difference between the control and intervention group physicians in the overall rate of compliance with ordering the recommended laboratory monitoring for patients prescribed study medications. Laboratory monitoring was performed as recommended 56.6% of the time in the intervention group compared with 57.1% of the time in the control group (P = .31). In cases in which a statistically significant difference was demonstrated, improved compliance favored the intervention group (eg, 71.2% vs 62.3% [P = .003] for gemfibrozil and 75.7% vs 73.9% [P = .05] for statins). CONCLUSIONS: As CPOE becomes more prevalent, additional research is needed to determine effective decision support tools. These findings then should be communicated to the developers and users of computerized medical record systems.

Adolescent↗

Utilization of a computerized system at the pharmacy department of the University of Tokyo Hospital--impact of prescription order entry and computerized dispensing system.

(1) A medication order entry system, (2) a fully automatic tablet counting and packaging machine connected with a medication order entry system, and (3) a check system for one dose package developed and implemented in the University of Tokyo Hospital are described. The principal objectives of these systems are (1) to reduce medication errors and the clerical workload of staff, (2) to make more efficient use of staff, (3) to provide staff with sufficient drug information for patient drug therapy. We compared computerized systems (post-computerization) and traditional multi-dose dispensing systems (pre-computerization) by analyzing inquiry rate and dispensing time in the pharmacy for inpatients. Inquiry rate was 23.0% and 2.6% for pre-computerization and post-computerization, respectively. Total dispensing time per patient was 207 seconds and 147 seconds for pre-computerization and post-computerization, respectively. Implementation of the computerized systems helped significantly in decreasing inquiry rate and time needed to complete the dispensing process when compared with a traditional dispensing system. Implementation of the computerized systems was very useful for physicians, pharmacists, and nurses in conducting drug therapy.

Clinical Pharmacy Information Systems↗

Computerized physician order entry and electronic medical record systems in Korean teaching and general hospitals: results of a 2004 survey.

OBJECTIVE: To determine the availability of computerized physician order entry (CPOE) and electronic medical record (EMR) systems in teaching and general hospitals in the Republic of Korea. DESIGN: A combined mail and telephone survey of 283 hospitals. MEASUREMENTS: The surveys assessed the availability of CPOE and EMRs in the hospitals, as well as inducement, participation, and saturation regarding CPOE use by physicians. RESULTS: A total of 122 (43.1%) hospitals responded to the survey. The complete form of CPOE was available in 98 (80.3%) hospitals. The use of CPOE was mandatory in 92 (86.0%) of the 107 hospitals that responded to the questions regarding the requirement of CPOE use. In 85 (79.4%) of the hospitals in which CPOE was in use, more than 90% of physicians used the system. In addition, physicians entered more than 90% of their total orders through CPOE in 87 (81.3%) hospitals. In contrast, a complete EMR system was available in only 11 (9.0%) of the hospitals. CONCLUSION: Of the teaching and general hospitals in the Republic of Korea that responded to the survey, the majority (80.3%) have CPOE systems, and a complete EMR system is available in only 9%.

Health Care Surveys↗

Predicting changes in workflow resulting from healthcare information systems: ensuring the safety of healthcare.

This paper describes an approach to studying medical error and workflow that can be applied to help ensure the safety of new healthcare information systems. The approach focuses on identification of usability problems resulting from implementation of new information technology, as well as identification of problems related to changes in workflow. The paper illustrates how the approach can be applied in the simulation-based analyses of emerging healthcare information systems. The paper includes discussion of the application of an approach to identifying inadvertent changes in healthcare workflow that may result from design issues in a range of information technologies including medication order entry systems. General implications for the design, development and evaluation of safer healthcare information systems are discussed. It is argued that there is a need for thorough simulation-based testing of systems under a variety of conditions before they are released in order to ensure the safety of healthcare.

Efficiency, Organizational↗

Implementation of a computerized physician order entry system of medications at the University Health Network--physicians' perspectives on the critical issues.

There are many reasons why most hospitals have not adopted physician order entry systems for medications. It is a costly endeavour (Kuperman and Gibson 2003) that can cause major disruptions to workflow for physicians, pharmacists and nurses. Yet, the technology can reduce medication errors, especially with sophisticated decision support. We have presented many of the lessons learned from our successful implementation experience. To date, over 90% of medication orders are entered by physicians. The technology must be ready for the implementation. System issues such as errors, slowness and freezing give ready opportunity for critics who will claim the system is just not ready for real-time. Through rigorous testing, we were able to avoid issues previously seen in our pilot study. Usability testing with end-users was also critical in both guiding decision-making as well as validating that the system was ready for implementation. Proper training and support were also necessary. To ensure ready adoption, decision support was optimized to reduce the volume of less important alerts. Most importantly, we found that active physician involvement at multiple levels was key. This ensured that physicians understood from a high-level perspective that this change was necessary. Planning for specific implementation details had the benefit of input from physicians working in the area. Day-to-day issues of our residents and staff were also addressed promptly.

Attitude of Health Personnel↗

The impact on patient safety of free-text entry of nursing orders into an electronic medical record in an integrated delivery system.

The introduction of Computerized Provider Order Entry (CPOE) has been shown to reduce the incidence of medication-related errors in hospitals. Successful implementation of CPOE and electronic health records requires redesigning workflows and analysis of information collected and training of staff to use these new systems. However, well intentioned processes that seem to solve a unique problem can sometimes go in an unanticipated direction for several reasons. This can have unintentional consequences, especially when the built-in safeguards are not engaged. This poster describes one organization's efforts to identify the causes of one such breakdown, and how the obvious solutions were inappropriate.

Delivery of Health Care, Integrated↗

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Decision Support Systems, Clinical↗

Role of computerized physician order entry systems in facilitating medication errors.

CONTEXT: Hospital computerized physician order entry (CPOE) systems are widely regarded as the technical solution to medication ordering errors, the largest identified source of preventable hospital medical error. Published studies report that CPOE reduces medication errors up to 81%. Few researchers, however, have focused on the existence or types of medication errors facilitated by CPOE. OBJECTIVE: To identify and quantify the role of CPOE in facilitating prescription error risks. DESIGN, SETTING, AND PARTICIPANTS: We performed a qualitative and quantitative study of house staff interaction with a CPOE system at a tertiary-care teaching hospital (2002-2004). We surveyed house staff (N = 261; 88% of CPOE users); conducted 5 focus groups and 32 intensive one-on-one interviews with house staff, information technology leaders, pharmacy leaders, attending physicians, and nurses; shadowed house staff and nurses; and observed them using CPOE. Participants included house staff, nurses, and hospital leaders. MAIN OUTCOME MEASURE: Examples of medication errors caused or exacerbated by the CPOE system. RESULTS: We found that a widely used CPOE system facilitated 22 types of medication error risks. Examples include fragmented CPOE displays that prevent a coherent view of patients' medications, pharmacy inventory displays mistaken for dosage guidelines, ignored antibiotic renewal notices placed on paper charts rather than in the CPOE system, separation of functions that facilitate double dosing and incompatible orders, and inflexible ordering formats generating wrong orders. Three quarters of the house staff reported observing each of these error risks, indicating that they occur weekly or more often. Use of multiple qualitative and survey methods identified and quantified error risks not previously considered, offering many opportunities for error reduction. CONCLUSIONS: In this study, we found that a leading CPOE system often facilitated medication error risks, with many reported to occur frequently. As CPOE systems are implemented, clinicians and hospitals must attend to errors that these systems cause in addition to errors that they prevent.

Clinical Pharmacy Information Systems↗

Inappropriate prescribing practices: the challenge and opportunity for patient safety.

Adverse clinical events related to inappropriate prescribing practices are an important threat to patient safety. Avoidance of inappropriate prescribing in community settings, where the majority of prescriptions are written, offers a major area of opportunity to improve quality of care and outcomes. Electronic medication order entry systems, with automated clinical risk screening and online alerting capabilities, appear as particularly promising enabling tools in such settings. The Medical Office of the Twenty First Century (MOXXI-III) research group is currently utilizing such a system that integrates identification of dosing errors, adverse drug interactions, drug-disease and allergy contraindications and potential toxicity or contraindications based on patient age. This paper characterizes the spectrum of alerts in an urban community of care involving 28 physicians and 32 pharmacies. Over a consecutive nine-month period, alerts were generated in 29% of 22,419 prescriptions, resulting in revised prescriptions in 14% of the alert cases. Drug-disease contraindications were the most common driver of alerts, accounting for 41% of the total and resulting in revised prescriptions in 14% of cases. In contrast, potential dosing errors generated only 8% of all alerts, but resulted in revised prescriptions 23% of the time. Overall, online evidence-based screening and alerting around prescription of medications in a community setting demands confirmation in prescribers' clinical decision making in almost one-third of prescriptions and leads to changed decisions in up to one-quarter of some prescribing categories. Its ultimate determination of clinical relevance to patient safety may, however, have to await more detailed examination of physician response to alerts and patient outcomes as a primary measure of utility. Patient safety is an increasingly recognized challenge and opportunity for stakeholders in improving health care delivery. It involves many issues, including delayed diagnosis and treatment, as well as inappropriate undertreatment and overtreatment. The common denominators, however, are that care and outcomes could be better, and there is a role for patients, providers and policy makers in making improvements.

Community Health Services↗

The benefits of the MOE/MAR implementation: a quantitative approach.

Once the decision was made to implement an electronic medication order entry and medication administration record system at the University Health Network, a significant question soon emerged: How would UHN be able to determine if the project had indeed accomplished its stated objectives of improving patient safety and the medication ordering and processing cycle?

Cost-Benefit Analysis↗

How common are electronic health records in the United States? A summary of the evidence.

Electronic health records (EHRs) are promising tools to improve quality and efficiency in health care, but data on their adoption rate are limited. We identified surveys on EHR adoption and assessed their quality. Although surveys returned widely different estimates of EHR use, when available information is limited to studies of high or medium quality, national estimates are possible: Through 2005, approximately 23.9 percent of physicians used EHRs in the ambulatory setting, while 5 percent of hospitals used computerized physician order entry. Large gaps in knowledge, including information about EHR use among safety-net providers, pose critical challenges for the development of policies aimed at speeding adoption.

Ambulatory Care Information Systems↗

Case study: identifying potential problems at the human/technical interface in complex clinical systems.

Many who would like to improve patient safety in health care have advocated for the widespread adoption of computerized physician order entry and electronic medical records. However, unforeseen consequences of this new technology may put patients at greater risk of harm, not less. The authors present a clinical scenario that demonstrates system vulnerabilities in the interface between humans and such technology. Furthermore, the authors suggest that managers could anticipate these vulnerabilities by using techniques such as cause-and-effect analysis or failure mode and effect analysis, both before the installation of electronic medical records and as ongoing surveillance mechanisms. The case study demonstrates that adoption of technology is not a quick fix to the patient safety issue; proactive and ongoing efforts to address the human factors issues raised by the introduction of new technology will be required to prevent patient harm.

Aged↗