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At least 577 records · Page 32Linked to original sources
PubMed2006

Main barriers to effective handoffs identified.

Distractions such as lighting and background noise can significantly impair communications. Leaders must empower interns to raise appropriate questions with more senior staff. Authors recommend incorporation of handoff tools into existing information technology systems.

Continuity of Patient Care↗
PubMed2005

Data quality in the outpatient setting: impact on clinical decision support systems.

Clinical decision support system (CDSS) performance may vary with the quality of the input data. We assessed the impact of medical record completeness and accuracy on a CDSS that provides risk assessment for gastrointestinal bleeding and recommends therapy when prescribing NSAIDs. We examined the documentation of six data elements in the medical record and the impact on the performance of the CDSS. We reviewed 178 transcribed clinical encounters from standardized patients with predefined clinical histories. Results showed that the mean completeness score across all encounters was .34. The mean correctness score for those elements present was .94. When the available data was input into the CDSS, the missing data elements resulted in inappropriate and unsafe recommendations in almost 77% of the encounters. The results show that important gaps in the medical record can affect the accuracy of a CDSS designed to improve safe prescribing.

Adult↗
PubMed2005

Drug-age alerting for outpatient geriatric prescriptions: a joint study using interoperable drug standards.

For more than a decade, the Beers criteria have identified specific medications that should generally be avoided in the geriatric population. Studies that have shown high prevalence rates of these potentially inappropriate medications have used disparate methodologies to identify these medications and hence are difficult to replicate and generalize. In an effort to improve prescribing behavior, we are building a drug-age alerting system utilizing standard drug coding systems for use in our Electronic Health Record (EHR) systems.

Aged↗
PubMed2005

Designing an electronic medication reconciliation system.

Unintended medication discrepancies at hospital admission and discharge potentially harm patients. Explicit medication reconciliation (MR) can prevent unintended discrepancies among care settings and is mandated by JCAHO for 2005. Enterprise-wide, we are linking pre-admission and discharge medication lists in our outpatient electronic health records (EHR) with our inpatient order entry applications (OE) - currently not interoperable - to support MR and inform the development of comprehensive MR among hospitalized patients.

Hospitalization↗
PubMed2005

Evaluation of a commercial electronic medical record (EMR) by primary care physicians 5 years after implementation.

Electronic medical records (EMRs) are gaining increasing prominence in the delivery of healthcare, although the focus is primarily on deploying EMRs. Relatively little research has studied the post-implementation of commercial EMRs. Here we present the results of a web-based survey of all the primary care clinicians in our university affiliated, tertiary care health system. The survey evaluated primary care clinician demographics, usage, and ideas for enhancement of the EpicCare EMR, five year after its initial deployment throughout our healthcare system.

Adult↗
PubMed2006

[Electronic prescriptions--without side-effects?].

BACKGROUND: In a government document published in 2005, electronic information systems were held up as important tools for reducing unintended adverse drug events. The Norwegian Social and Health Directorate has now initiated a large national project introducing electronic prescribing. MATERIAL AND METHODS: We have analysed recent international literature about electronic prescribing and computerised physician order entry. RESULTS: Electronic information systems may cause both a reduction and an increase in adverse drug events. Certain known errors disappear, but new risks for errors are introduced. A new system might change or unintentionally put aside well-established safety routines in manual systems of today. INTERPRETATION: Introduction of electronic treatment of drug information can give many benefits, but if the risks for introducing new errors are underestimated, patient safety might be threatened. A strategy for avoiding possible mistakes should therefore be developed simultaneously with introduction of systems for electronic prescribing and order entry. New systems have to be thoroughly tested and evaluated as closely as other new technology and drugs when implemented.

Cost Savings↗
PubMed2006

[Medication errors on hospital admission].

INTRODUCTION: This study investigated the number of medication errors on hospital admission and the clinical relevance of these errors. The new personal electronic medicine profile (PEM) was tested to establish whether it can contribute further information about the patient's medication on admission. MATERIALS AND METHODS: This cross-sectional study included patients admitted to an acute medical admissions ward. In addition to the ward's usual admission procedure, a clinical pharmacist created an extra medication history by carrying out semi-structured interviews and obtaining additional information from the patient's GP. Information was then obtained from the PEM. A clinical expert panel assessed the potential clinical relevance of the discrepancies. RESULTS: Of 67 patients admitted, 48 were interviewed. The patients' average age was 71, and they used an average of 6.4 medications each. There were 309 prescriptions registered, producing 85 errors: the extra medication history highlighted 73 of these errors, and the subsequent check of the PEM revealed a further 12 errors. Thirty-three patients (69%) were affected by one or more errors, of which the expert panel considered six (18%) to be potentially serious. CONCLUSION: Medication errors on admission to hospital reduce the quality of treatment and can lead to adverse events. The PEM cannot replace the traditional medication history, but the use of a PEM and the increased focus on medication histories can contribute to an improved hospital stay.

Adult↗
PubMed2006

Evaluation and implementation: a call for action.

OBJECTIVES: To raise awareness for actions that are urgently needed to accompany the large scale implementations of ICT in Health Care that are currently taking place in many countries around the world. METHODS: An analysis of a few studies that have recently been described in the literature guided by recent suggestions for research and development of evaluation of health ICT. RESULTS AND CONCLUSION: Six specific recommendations for action are specified: Development of good implementation practice, Development of an experience base of implementation of ICT in health care, Setting up a surveillance system for unintended effects, Build an evidence base of best evaluation practice, Developing guidelines for proper reporting of evaluation studies, Education of clinicians and decision makers.

Evaluation Studies as Topic↗
PubMed2006

Clinical information technology gaps persist among physicians.

Physicians in smaller practices continue to lag well behind physicians in larger practices in reporting the availability of clinical information technology (IT) in their offices, according to a new national study from the Center for Studying Health System Change (HSC). The proportion of physicians reporting access to IT for each of five clinical activities increased across all practice settings between 2000-01 and 2004-05. Adoption gaps between small and large practices persisted, however, for two of the clinical activities--obtaining treatment guidelines and exchanging clinical data with other physicians--and widened for the other three--accessing patient notes, generating preventive care reminders and writing prescriptions. In contrast, clinical IT was generally as likely or more likely to be available to physicians in practices treating larger proportions of vulnerable and underserved patients as other physicians, a pattern that did not change between the two periods

Age Factors↗
PubMed2006

Horus meets Nightingale in the modern age: How nursing communicates with pharmacy in HCIT era.

In 2002 The Australia council for Safety and Quality in Healthcare determined that problems with medicines were responsible 2-3% of all hospital admissions in Australia EMR's with codified datasets lay the foundation for significantly reducing the number of these adverse events. CPOE has well documented benefits in the reduction of order related errors. The use of information technology in pharmacy has long provided proven benefits in the diminution of pharmacy errors. The use of an electronic medication chart and positive patient identification functionality and technology (5 rights) ensures a reduction in errors at administration. Decision support at all stages of an electronic medication process reduces errors and promotes evidence based medicine. This functionality all provides a basis for addressing medication errors, however it is the seamless integration of all these components into a homogenous system that really addresses these errors. This research focuses on the communication gap between pharmacy and nursing. It is a multi-disciplinary study that defines that lack of research in this are and proposes the important questions that need to be answered in order to ensure that HCIT advancement in this area is focussed to eliminate medication errors.

Communication↗
PubMed2006

[Clinical decision support: Is the number of medication errors reduced?].

22 papers on clinical decision support (CDS) for computer physician order entry (CPOE) and the ability to reduce medication errors were reviewed. Among the 22 original clinical trials, 21 demonstrated a reduced number of medication errors after the implementation of CDS. The effect was strongest for 2nd and 3rd generation of the CDS-systems. CPOE with CDS is time consuming and may generate new medication errors in itself. All the trials had poor designs. A Danish data source for CDS has not yet been established.

Clinical Pharmacy Information Systems↗