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At least 163 records · Page 9Linked to original sources
PubMed2007

Prevention of pediatric medication errors by hospital pharmacists and the potential benefit of computerized physician order entry.

OBJECTIVES: The purpose of this work was to characterize medication errors and adverse drug events intercepted by a system of pediatric clinical pharmacists and to determine whether the addition of a computerized physician order entry system would improve medication safety. METHODS: The study included 16,938 medication orders for 678 admissions to the pediatric units of a large academic community hospital. Pediatric clinical pharmacists reviewed medication orders and monitored subsequent medication use. Medication errors and adverse drug events were identified by daily review of documentation, voluntary reporting, and solicitation. Each potentially harmful medication error was judged whether or not it was intercepted and, if not, whether it would have been captured by a computerized physician order entry system. RESULTS: Overall, 865 medication errors occurred, corresponding with a rate of 5.2 per 100 medication orders. A near-miss rate of 0.96% and a preventable adverse drug event rate of 0.09% were observed. Overall, 78% of potentially harmful prescribing errors were intercepted; however, none of the potentially harmful errors occurring at administration was intercepted and accounted for 50% of preventable adverse drug events. A computerized physician order entry system could capture additional potentially harmful prescribing and transcription errors (54%-73%) but not administration errors (0% vs 6%). CONCLUSIONS: A system of pediatric clinical pharmacists effectively intercepted inpatient prescribing errors but did not capture potentially harmful medication administration errors. The addition of a computerized physician order entry system to pharmacists is unlikely to prevent administration errors, which pose the highest risk of patient injury.

Child↗
PubMed2006

Medication errors in children.

Medication error is a major source of iatrogenic injuries in children. Dosing errors are the most common type of medication errors in pediatrics. Sicker patients in intensive care units and emergency departments are more often harmed by such errors. Strategies that have been found to be effective in reducing medication errors include the use of computerized physician order entry systems, preprinted order forms, and color-coded systems. Adopting the "systems approach" to medication errors is crucial to every health system where practitioners seek to enhance patient safety.

Child↗
PubMedDate not supplied

Measuring hospital readiness for information technology (IT) innovation: A multisite study of the Organizational Information Technology Innovation Readiness Scale.

The Institute of Medicine has stressed the need for health care organizations to increase their use of information technology (IT) to create safer health care environments, particularly in the area of medication safety. However, the rate of successful organizational IT innovation remains low and this is primarily attributed to a lack of organizational IT innovation readiness. The reported study completes the fourth phase in the development of the 48-item Organizational Information Technology Innovation Readiness Scale (OI-TIRS). The aim of this study was to re-examine the psychometric adequacy of the OITIRS to determine the readiness of three community hospitals to implement a commercial computerized provider order entry (CPOE) medication safety system. Findings supported internal consistency reliability with alpha coefficients from .78 to .92, and mean interitem correlations for the eight subscales ranging from .38 to .65 with a significance level of .01. Construct validity was supported with an overall factor loading range of .49 to .92 across the eight subscales and an explained variance ranged from 33% to 66%. The study findings supported the use of the OITIRS to assess hospital readiness for computer provider order entry system innovation.

Adult↗
PubMed2003

A real time interface between a computerized physician order entry system and the computerized ICU medication administration record.

UNLABELLED: Prior attempts to interface ICU Clinical Information Systems (CIS) to Pharmacy systems have been less than successful. The major problem is that in ICUs, medications frequently have to be administered and charted in the CIS Medication Administration Record (MAR) before pharmacists can enter them into the Pharmacy system. When the Pharmacy system belatedly sends medication orders to the CIS MAR, this may create duplicate entries for medications that ICU nurses have had to enter manually to chart doses actually given. The authors have implemented a real time interface between a Computerized Physician Order Entry (CPOE) system and a CIS operating in ten ICUs that solves this problem. The interface transfers new medication orders including order details and alerts directly to the CIS Medication Administration Record (MAR), where they are immediately available for nurse charting. METHODS: The Patient Care Expert (PCX) web-based CPOE system was developed at Cedars-Sinai Medical Center and interfaced to a CIS serving 133 beds in 10 ICUs (CareVue CIS, Philips Medical Systems, Andover, MA). The CPOE used an existing CIS interface specification available for Pharmacy systems. At other CIS sites Pharmacy interfaces had enjoyed limited success because in many cases, ICU nurses had to manually add drugs to the MAR to chart urgent and emergent doses. When physician orders were finally processed by the Pharmacy, the orders sent to the CIS were frequently posted on the MAR as duplicate entries, causing confusion in the medical record. Although the PCX CPOE was interfaced to the hospital's Pharmacy system, for ICU patients all medication orders were transmitted to the CIS MAR. As soon as a physician authenticated orders with an electronic signature (Figure 1), all medication orders appeared in the CIS MAR, ready for the nurse to verify the orders and then chart doses. The medications shown in gray in Figure 2 are new automatic entries the nurse will authenticate with an electronic signature. Once authenticated, nurses may chart individual doses Results: 40,170 ICU medication, IV infusion and IV drip orders were automatically transferred from the CPOE to ICU CIS MARs during three months of CPOE operation. The interface eliminated manual order transcription, medication entry errors and improved ICU nurse efficiency and satisfaction.

Clinical Pharmacy Information Systems↗
PubMed2005

The effect of automated alerts on provider ordering behavior in an outpatient setting.

BACKGROUND: Computerized order entry systems have the potential to prevent medication errors and decrease adverse drug events with the use of clinical-decision support systems presenting alerts to providers. Despite the large volume of medications prescribed in the outpatient setting, few studies have assessed the impact of automated alerts on medication errors related to drug-laboratory interactions in an outpatient primary-care setting. METHODS AND FINDINGS: A primary-care clinic in an integrated safety net institution was the setting for the study. In collaboration with commercial information technology vendors, rules were developed to address a set of drug-laboratory interactions. All patients seen in the clinic during the study period were eligible for the intervention. As providers ordered medications on a computer, an alert was displayed if a relevant drug-laboratory interaction existed. Comparisons were made between baseline and postintervention time periods. Provider ordering behavior was monitored focusing on the number of medication orders not completed and the number of rule-associated laboratory test orders initiated after alert display. Adverse drug events were assessed by doing a random sample of chart reviews using the Naranjo scoring scale. The rule processed 16,291 times during the study period on all possible medication orders: 7,017 during the pre-intervention period and 9,274 during the postintervention period. During the postintervention period, an alert was displayed for 11.8% (1,093 out of 9,274) of the times the rule processed, with 5.6% for only "missing laboratory values," 6.0% for only "abnormal laboratory values," and 0.2% for both types of alerts. Focusing on 18 high-volume and high-risk medications revealed a significant increase in the percentage of time the provider stopped the ordering process and did not complete the medication order when an alert for an abnormal rule-associated laboratory result was displayed (5.6% vs. 10.9%, p = 0.03, Generalized Estimating Equations test). The provider also increased ordering of the rule-associated laboratory test when an alert was displayed (39% at baseline vs. 51% during post intervention, p < 0.001). There was a non-statistically significant difference towards less "definite" or "probable" adverse drug events defined by Naranjo scoring (10.3% at baseline vs. 4.3% during postintervention, p = 0.23). CONCLUSION: Providers will adhere to alerts and will use this information to improve patient care. Specifically, in response to drug-laboratory interaction alerts, providers will significantly increase the ordering of appropriate laboratory tests. There may be a concomitant change in adverse drug events that would require a larger study to confirm. Implementation of rules technology to prevent medication errors could be an effective tool for reducing medication errors in an outpatient setting.

Adult↗
PubMed2005

What do we know about medication errors made via a CPOE system versus those made via handwritten orders?

This commentary on the article by Shulman et al. examines what we understand by 'medication errors', what we mean by 'computerized physician order entry (CPOE) systems', how we measure errors, and what types of errors we are 'reducing' with CPOE systems. As the research of Shulman and colleagues highlights, much of the existing research on CPOE systems does not differentiate among: types of medication errors; consequential versus inconsequential medication errors; CPOE systems that include/exclude formal decision support packages; and the extent to which decision support information is implicitly presented to physicians via the CPOE system, for example, pull down menus with dosages. I discuss these issues and their implications for the evaluation of CPOE systems and of other emerging healthcare technologies.

Clinical Pharmacy Information Systems↗
PubMedDate not supplied

Medical errors: computers are no panacea.

Increased patient loads, time pressures, and heightened public awareness of medical errors are forcing many physicians and clinical administrators to consider acquiring computerized physician order entry (CPOE) systems and clinical information systems. The recent revelation that CPOE systems can facilitate medical errors, however, is a call to physicians to remain vigilant despite the new technologies. By attending to specific data-capture and data-access errors associated with clinical information systems, physicians can minimize errors associated with clinical information systems and maximize the potential benefits to their patients.

Computer Security↗
PubMedDate not supplied

Design and implementation of an application and associated services to support interdisciplinary medication reconciliation efforts at an integrated healthcare delivery network.

Confusion about patients' medication regimens during the hospital admission and discharge process accounts for many preventable and serious medication errors. Many organizations have begun to redesign their clinical processes to address this patient safety concern. Partners HealthCare, an integrated delivery network in Boston, Massachusetts, has answered this interdisciplinary challenge by leveraging its multiple outpatient electronic medical records (EMR) and inpatient computerized provider order entry (CPOE) systems to facilitate the process of medication reconciliation. This manuscript describes the design of a novel application and the associated services that aggregate medication data from EMR and CPOE systems so that clinicians can efficiently generate an accurate pre-admission medication list. Information collected with the use of this application subsequently supports the writing of admission and discharge orders by physicians, performance of admission assessment by nurses, and reconciliation of inpatient orders by pharmacists. Results from early pilot testing suggest that this new medication reconciliation process is well accepted by clinicians and has significant potential to prevent medication errors during transitions of care.

Clinical Pharmacy Information Systems↗
PubMed2007

To what extent do pediatricians accept computer-based dosing suggestions?

OBJECTIVE: Pediatric medication errors occur frequently among hospitalized patients and are often related to dosing. Computerized physician order entry systems with decision support can decrease dosing errors, as well as other types of errors; however, their use in pediatrics has not been extensively studied. Our objective was to determine physician acceptance of dosing and frequency decision support elements in an inpatient pediatric computerized physician order entry system at 1 academic medical center. PATIENTS AND METHODS: We performed a retrospective analysis of all electronic medication orders entered for pediatric inpatients at a large, urban teaching hospital between April 15, 2004, and December 31, 2004. Rates of physician acceptance of computerized physician order entry system-generated dosing and frequency suggestions were determined. RESULTS: We analyzed 54,413 orders in the computerized physician order entry system, of which 27,313 orders had dosing or frequency decision support. Of the orders with decision support, approximately one third (8822) were accepted exactly by prescribers. Of the 18,491 remaining orders, 8708 were changed for dose, 2466 for frequency, and 7317 for both. Among the 18,491 orders that were changed, the majority 11,322 deviated by a substantial amount (>50%) from the total daily dose initially suggested by the decision support feature. Overall, patient weight was missing 31.3% of the time, although patient age alone sometimes was sufficient for the computer to make a dosing suggestion. CONCLUSIONS: Although dosing-decision support systems have the potential to improve care, more work needs to be done to determine and optimize their effectiveness. Commercial vendors of dosing knowledge bases need to deliver effective products, because most health care organizations will not have the resources to customize decision support rules.

Adolescent↗
PubMed2005

Approach for analysis of order check overrides in a computerized practitioner order entry system.

While it has been established that electronic order entry systems can prevent transcription errors and check orders for severe drug allergies and interactions, continuous monitoring of the effectiveness of order checks is important. The goal of this study is to examine the rate at which high severity order checks generated in the electronic medical record at VA Puget Sound are overridden by clinicians. We compare our results to those of a previous study that found high override rates for Critical Drug Inter-action and Allergy-Drug Interaction order check categories. We are interested in determining whether system changes addressing these high rates have been successful in reducing the overall override rate in these categories. Because the method used previously to extract orders is no longer available, the first step in our study was to develop a new procedure to gather order entry data. This procedure is the subject of our report.

Clinical Pharmacy Information Systems↗
PubMed2005

Why do some CPOEs work while others flounder?

When groups from other hospitals come to see the acclaimed computerized physician order entry system (CPOE) at Alamance Regional Medical Center, it's not that hard to tell who will have problems with their own CPOE project.

Efficiency, Organizational↗
PubMed2006

Computerized provider order entry: strategies for successful implementation.

An estimated 522,000 serious medication errors can be eliminated in the United States each year through the use of computerized provider order entry. However, the implementation of computerized provider order entry is being slowed down by resistance from clinicians, particularly physicians. Nurses understand the work of physicians and are in a unique position to help overcome their resistance and smoothen the transition to computerized provider order entry. The authors outline the strategies for nurses to increase organizational acceptance during the process of computerized provider order entry implementation.

Attitude of Health Personnel↗
PubMed2006

Errors associated with applying decision support by suggesting default doses for aminoglycosides.

BACKGROUND: Medication errors, and the resultant adverse drug events (ADEs), are one of the main preventable causes of morbidity and mortality. Computerised physician order entry (CPOE) is reported to reduce the frequency of these errors. However, CPOE systems themselves may be associated with errors. The aim of this study was to investigate the effects of a CPOE system that displays an initial default dose for gentamycin and tobramycin administration on the frequency of medication errors and potential ADEs in patients with renal insufficiency. METHODS: Gentamycin and tobramycin prescriptions from the CPOE records of a Dutch tertiary adult intensive care unit were retrospectively compared with doses recommended by a locally developed guideline. The default dose for gentamycin and tobramycin in the CPOE system is 240 mg/day. A dose prescribing error was defined as an administered dose that exceeded the recommended dose by >10%. RESULTS: Three hundred and ninty two prescriptions, relating to 253 patients (of whom 184 had renal insufficiency), were analysed. There was a high frequency (58%, 227 of 392) of prescriptions that used the CPOE system's default dose of 240 mg/day. The dose was wrong in 73% (165) of these orders. Default orders for patients with renal insufficiency amounted to 52% (132 of 259). A total of 86% (113 of 132) of these resulted in potential ADEs compared with 53% (66 of 124) for the rest of orders (p < 0.0001). DISCUSSION: A markedly high frequency of prescriptions followed the default dose value and, in patients with renal insufficiency, there was a high frequency of doses exceeding the guideline recommendation (+10%), amounting to potential ADEs. CONCLUSION: Initial CPOE dose values for prescribing gentamycin and tobramycin, which are based on a fixed default value, form a source of potential ADEs for patients with renal insufficiency.

Adult↗
PubMed2006

[Deployment of a computerized physician order entry: description of the process and challenges].

The introduction of a system of computerized physician order entry (CPOE) decreases medication error rates by formalizing the drafting of the orders and providing alarms which announce potential side effects, drug interactions and overly high doses. The quality of the CPOE does not insure its success. Its deployment must be preceded by an assessment and update of the available computer resources, by training of the users and setting up a help-desk attainable 24 hours a day. The project must be lead by senior medical and nursing staff. A joint effort is the key to ensure the success of CPOE and facilitate its acceptability. CPOE provides opportunities for improving: patient safety, training of professionals, quality and efficiency of care. CPOE systems are an ideal basis to set up clinical protocols and clinical pathways.

Medical Order Entry Systems↗