A review of human factors principles for the design and implementation of medication safety alerts in clinical information systems.

The objective of this review is to describe the implementation of human factors principles for the design of alerts in clinical information systems. First, we conduct a review of alarm systems to identify human factors principles that are employed in the design and implementation of alerts. Second, we review the medical informatics literature to provide examples of the implementation of human factors principles in current clinical information systems using alerts to provide medication decision support. Last, we suggest actionable recommendations for delivering effective clinical decision support using alerts. A review of studies from the medical informatics literature suggests that many basic human factors principles are not followed, possibly contributing to the lack of acceptance of alerts in clinical information systems. We evaluate the limitations of current alerting philosophies and provide recommendations for improving acceptance of alerts by incorporating human factors principles in their design

Prescription Errors Before and After Introduction of Electronic Medication Alert System in a Pediatric Emergency Department

ObjectivesPrescription errors occur frequently in pediatric emergency departments (PEDs).The effect of computerized physician order entry (CPOE) with electronic medication alert system (EMAS) on these is unknown. The objective was to compare prescription errors rates before and after introduction of CPOE with EMAS in a PED. The hypothesis was that CPOE with EMAS would significantly reduce the rate and severity of prescription errors in the PED.MethodsA prospective comparison of a sample of outpatient, medication prescriptions 5 months before and after CPOE with EMAS implementation (7,268 before and 7,292 after) was performed. Error types and rates, alert types and significance, and physician response were noted. Medication errors were deemed significant if there was a potential to cause life‐threatening injury, failure of therapy, or an adverse drug effect.ResultsThere was a significant reduction in the errors per 100 prescriptions (10.4 before vs. 7.3 after; absolute risk reduction = 3.1, 95% confidence interval [CI] = 2.2 to 4.0). Drug dosing error rates decreased from 8 to 5.4 per 100 (absolute risk reduction = 2.6, 95% CI = 1.8 to 3.4). Alerts were generated for 29.6% of prescriptions, with 45% involving drug dose range checking. The sensitivity of CPOE with EMAS in identifying errors in prescriptions was 45.1% (95% CI = 40.8% to 49.6%), and the specificity was 57% (95% CI = 55.6% to 58.5%). Prescribers modified 20% of the dosing alerts, resulting in the error not reaching the patient. Conversely, 11% of true dosing alerts for medication errors were overridden by the prescribers: 88 (11.3%) resulted in medication errors, and 684 (88.6%) were false‐positive alerts.ConclusionsA CPOE with EMAS was associated with a decrease in overall prescription errors in our PED. Further system refinements are required to reduce the high false‐positive alert rates.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/111907/1/acem12678.pd

Using nurses and office staff to report prescribing errors in primary care

Objective. To implement a prescribing-error reporting system in primary care offices and analyze the reports. Design. Descriptive analysis of a voluntary prescribing-error-reporting system Setting. Seven primary care offices in Vermont, USA. Participants. One hundred and three prescribers, managers, nurses and office staff. Intervention. Nurses and office staff were asked to report all communications with community pharmacists regarding prescription problems

Impact of an Electronic Medical Record Implementation on Drug Allergy Overrides in a Large Southeastern HMO Setting

Renny Varghese Impact of an Electronic Medical Record Implementation on Drug Allergy Overrides in a Large Southeastern HMO Setting (Under the direction of Russell Toal, Associate Professor) Electronic medical records (EMRs) have become recognized as an important tool for improving patient safety and quality of care. Decision support tools such as alerting functions for patient medication allergies are a key part of reducing the frequency of serious medication problems. Kaiser Permanente Georgia (KPGA) implemented its EMR system in the primary care departments at Kaiser\u27s twelve facilities in the greater metro Atlanta area over a six month period beginning in June 2005 and ending December 2005. The aim of this study is to analyze the impact of the EMR implementation on the number of drug allergy overrides within this large HMO outpatient setting. Research was conducted by comparing the rate of drug allergy overrides during pre and post EMR implementation. The timeline will be six months pre and post implementation. Observing the impact of the incidence rate of drug allergy alerts after the implementation provided insight into the effectiveness of EMRs in reducing contraindicated drug allergies. Results show that the incidence rate of drug allergy overrides per 1,000 filled prescriptions rose by a statistically significant 5.9% (ñ \u3e 0.0002; 95% CI [-1.531, -0.767]) following the implementation. Although results were unexpected, several factors are discussed as to the reason for the increase. Further research is recommended to explore trends in provider behavior, KPGA specific facilities and departments, and in other KP regions and non-KP healthcare settings. INDEX WORDS: electronic medical records, drug allergy overrides, patient safety, medication errors, decision support tools, outpatient setting, primary care, computerized provider order entr

Electronic Prescribing In Children (EPIC): an evaluation of implementation at a children’s hospital.

Medication errors are common and can cause significant mortality and morbidity. Electronic prescribing (EP), with or without clinical decision support systems (CDSS), is a complex intervention that has been proposed as a solution. US studies indicate that there may be a reduction in medication errors as well as adverse events, but equally new errors may be introduced. There is a paucity of studies assessing the use and impact of EP in the UK hospital setting, especially those involving paediatric patients. The aim of this thesis was to investigate and evaluate the implementation of an EP system at a children's hospital in the UK. The objectives were to assess the effect on prescribing errors, to explore the level of CDSS available and in use within the system, to identify any changes in practice and workflow patterns of healthcare professionals, and to determine the views of patients and users. Mixed qualitative and quantitative methods were used within an evaluation framework (the Cornford framework). The results show an overall reduction in prescribing errors directly as a result of more complete and legible prescriptions after EP. Outpatient errors decreased from 1219/1574 (77.4%) to 33/648 (5.1%), a 72.3% reduction [95% confidence interval (CI) -74.6% to -69.3%]. The number of outpatient visits that were error free increased from 185/883 (21%) to 225/250 (90%), 95% Cl of difference in proportions, 64% to 73.4%. Inpatient errors decreased from 85/1267 (6.7%) to 96/ 2079 (4.6%), 95% CI of difference in proportions, -3.4% to -0.5% There was an increase in discharge prescription errors from 839/1098 (76.4%>) to 1777/2057 (86.4%), 95% CI of difference in proportions, 7.88% to 12.94%. The dosing error rate in all types of prescriptions was lower after EP: 88/3939 (2.2%) vs. 57/4784 (1.2%), 95% CI of difference in proportions, -1.6% to -0.5%, but there was no statistically significant change in severity ratings of dosing errors. New types of errors, such as selection errors, were seen due to EP. Although principles of the medicines use process remained the same, the practical approach to tasks was altered. The system was accepted by users and patients, but there was a desire for further improvements, especially in the level of clinical decision support available to the end user. In conclusion, the EP system was implemented successfully. The benefits in medication safety appear to be the results of effective interaction between system functionality and usability, user acceptance and organisational infrastructure

How safe is primary care? A systematic review

Improving patient safety is at the forefront of policy and practice. While considerable progress has been made in understanding the frequency, causes and consequences of error in hospitals, less is known about the safety of primary care.We investigated how often patient safety incidents occur in primary care and how often these were associated with patient harm.We searched 18 databases and contacted international experts to identify published and unpublished studies available between 1 January 1980 and 31 July 2014. Patient safety incidents of any type were eligible. Eligible studies were critically appraised using validated instruments and data were descriptively and narratively synthesised.Nine systematic reviews and 100 primary studies were included. Studies reported between <1 and 24 patient safety incidents per 100 consultations. The median from population-based record review studies was 2-3 incidents for every 100 consultations/records reviewed. It was estimated that around 4% of these incidents may be associated with severe harm, defined as significantly impacting on a patients well-being, including long-term physical or psychological issues or death (range <1% to 44% of incidents). Incidents relating to diagnosis and prescribing were most likely to result in severe harm.Millions of people throughout the world use primary care services on any given day. This review suggests that safety incidents are relatively common, but most do not result in serious harm that reaches the patient. Diagnostic and prescribing incidents are the most likely to result in avoidable harm.This systematic review is registered with the International Prospective Register of Systematic Reviews (PROSPERO CRD42012002304)

Factors Associated with Ordering and Completion of Laboratory Monitoring Tests for High-Risk Medications in the Ambulatory Setting: A Dissertation

Since the Institute of Medicine highlighted the devastating impact of medical errors in their seminal report, “To Err is Human” (2000), efforts have been underway to improve patient safety. A portion of medical errors are due to medication errors, and a large portion of these can be attributed to inadequate laboratory monitoring. In this thesis, I attempt to address this small but important corner of this patient safety endeavor. Why are patients not getting their laboratory monitoring tests? Do they fail to complete them or do doctors not order the tests in the first place? Which prescribers and which patients are least likely to do what is needed for testing to happen and what interventions would be most promising? To address these questions, I conducted a systematic review of existing interventions. I then proceeded with three aims: 1) To identify reasons that patients give for missing monitoring tests; 2) To identify patient and provider factors associated with monitoring test ordering; and 3) To identify patient and provider factors associated with completion of ordered testing. To achieve these aims, I worked with patients and data at the Fallon Clinic. For aim 1, I conducted a qualitative analysis of their reasons for missing tests as well as reporting completion and ordering rates. For aims 2 and 3, I used electronic medical record data and conducted a regression with patient and provider characteristics as covariates to identify factors contributing to test ordering and completion. Interviews revealed that patients had few barriers to completion, with forgetting being the most common reason for missing a test. The quantitative studies showed that: older patients with more interactions with the health care system were more likely to have tests ordered and were more likely to complete them; providers who more frequently prescribe a drug were more likely to order testing for it; and drug-test combinations that were particularly dangerous, indicated by a black box warning, were more likely to have appropriate ordering, though for these combinations, primary care providers were less likely to order tests appropriately, and patients were less likely to complete tests. Taken together, my work can inform future interventions in laboratory monitoring and patient safety

Computer physician order entry and clinical decision support systems: Benefits and concerns

Computerized Physician Order Entry has emerged as the greatest potential to decrease medications errors and improve efficiency. A literature review was conducted in systematic stages that included the research data from the last 25 years. Efficiencies were found with a decrease in overall workload of nurses, pharmacists and clerical workers. This led to decreased operating expenses. A secure way of transferring physician orders electronically will help hospitals and physicians practice a more efficient and higher quality of care in the US healthcare system