The effect of electronic ordering on pre-analytical errors in primary care

Turner, Helen; Deans, Kevin A.; Kite, Austen; Croal, Bernard

doi:10.1177/0004563213494184

Cited by 8 publications

(2 citation statements)

References 5 publications

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“…Information technology [IT] has provided some solutions to decrease inappropriate laboratory tests ordering. Some of these technologies are electronic medical record (EMR) [14], electronic health record (EHR) [15], computerized physician order entry (CPOE) [16], and clinical decision support systems (CDSS) [17]. Of all these, CDSS has more potential to support physicians when deciding about ordering a test or interpreting the results.…”

Section: Introductionmentioning

confidence: 99%

Laboratory test ordering in inpatient hospitals: a systematic review on the effects and features of clinical decision support systems

Zare

Meidani

Shirdeli

et al. 2020

Preprint

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Background: Studies have revealed inappropriate laboratory testing as a source of waste. This review aimed at evaluating the effects and features of CDSSs on physicians' appropriate laboratory test ordering in inpatient hospitals.Method: Medline through PubMed, SCOPUS, Web of Science, and Cochrane were queried without any time period restriction. Studies using CDSSs as an intervention to improve laboratory test ordering as the primary aim were included. The study populations in the included studies were laboratory tests, physicians ordering laboratory tests, or the patients for whom laboratory tests were ordered. The included papers were evaluated for their outcomes related to the effect of CDSSs which were categorized based on the outcomes related to tests, physician, and patients. The primary outcome measures were the number and cost of the ordered laboratory tests. The instrument from The National Heart Lung and Blood Institute (NIH) was used to assess the quality of the included studies. Moreover, we applied a checklist for assessing the quality and features of the CDSSs presented in the included studies. A narrative synthesis was used to describe and compare the designs and the results of included studies.Result: Sixteen studies met the inclusion criteria. Most studies were conducted based on a quasi-experimental design. The results showed improvement in laboratory test-related outcomes (e.g. proportion and cost of tests) and also physician-related outcomes (e.g. guideline adherence and orders cancellation). Patient-related outcomes (e.g. length of stay and mortality rate) were not well investigated in the included studies. In addition, the evidence about applying CDSS as a decision aid for interpreting laboratory results was rare.Conclusion: CDSSs increase appropriate test ordering in hospitals through eliminating redundant test orders and enhancing evidence-based practice. Appropriate testing and cost saving were both affected by the CDSSs. However, the evidence is limited about the effects of laboratory test CDSSs on patient-related outcomes.

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Section: Introductionmentioning

confidence: 99%

Laboratory test ordering in inpatient hospitals: a systematic review on the effects and features of clinical decision support systems

Zare

Meidani

Shirdeli

et al. 2020

Preprint

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“…Issues such as illegible hand writing can cause non identification of patient. 6 Computerized ordering of test can reduce pre-analytical errors. In India very few studies were done to evaluate the data available in the patient request forms regarding pre analytical errors.…”

Section: Introductionmentioning

confidence: 99%

Effectiveness of computerized ordering of test using unique hospital identification number to reduce pre analytical errors - a cross sectional study in a tertiary care hospital of south India

2020

IJCBR

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Introduction: Laboratory test request forms are important communication device between the clinician and lab personnel. Studies have confirmed that most laboratory errors occur in the preanalytical phase clinicians are ordering investigations in paper request forms which are incomplete with regard to patient information and clinical details. Ordering the request through hospital computers using UHID number of the patient can reduce preanalytical errors. Materials and Methods: Our study evaluated 806 Biochemistry lab report forms, by systematic sampling that reached Central Biochemistry lab from August to October 2016 and the same patients report forms retrieved from hospital computer using UHID number are compared for specific variables. Results: Analysis of the study shows that information regarding sample collection time, sample receiving time in lab, reference range of the analyte, and name of the doctor are 100% entered in hospital computer but 0% entry in the paper request forms. General information of the patient 100% entry in hospital computer, in paper report form it is 98%. But clinical notes, drug history and diagnosis not mentioned in both the hospital computer and the paper request forms. Conclusion: Computerized entry and ordering of investigations by health care persons will reduce preanalytical errors.

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Importance of Pre-analytical Stability for CSF Biomarker Testing

Willemse

Teunissen

2015

Cerebrospinal Fluid in Clinical Neurology

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The effect of electronic ordering on pre-analytical errors in primary care

Abstract: The introduction of electronic requesting in Primary Care can reduce the number of pre-analytical errors and can improve the quality of information received with each request.

Cited by 8 publications

References 5 publications

Laboratory test ordering in inpatient hospitals: a systematic review on the effects and features of clinical decision support systems

Laboratory test ordering in inpatient hospitals: a systematic review on the effects and features of clinical decision support systems

Effectiveness of computerized ordering of test using unique hospital identification number to reduce pre analytical errors - a cross sectional study in a tertiary care hospital of south India

Importance of Pre-analytical Stability for CSF Biomarker Testing

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