Appl Clin Inform - Comparison of manual versus automated data collection method for an evidence-based nursing practice study.

Tópicos

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Resumo

JECTIVE: The objective of this study was to investigate and improve the use of automated data collection procedures for nursing research and quality assurance.METHODS: A descriptive, correlational study analyzed 44 orthopedic surgical patients who were part of an evidence-based practice (EBP) project examining post-operative oxygen therapy at a Midwestern hospital. The automation work attempted to replicate a manually-collected data set from the EBP project.RESULTS: Automation was successful in replicating data collection for study data elements that were available in the clinical data repository. The automation procedures identified 32 "false negative" patients who met the inclusion criteria described in the EBP project but were not selected during the manual data collection. Automating data collection for certain data elements, such as oxygen saturation, proved challenging because of workflow and practice variations and the reliance on disparate sources for data abstraction. Automation also revealed instances of human error including computational and transcription errors as well as incomplete selection of eligible patients.CONCLUSION: Automated data collection for analysis of nursing-specific phenomenon is potentially superior to manual data collection methods. Creation of automated reports and analysis may require initial up-front investment with collaboration between clinicians, researchers and information technology specialists who can manage the ambiguities and challenges of research and quality assurance work in healthcare.

Resumo Limpo

jectiv object studi investig improv use autom data collect procedur nurs research qualiti assurancemethod descript correl studi analyz orthoped surgic patient part evidencebas practic ebp project examin postop oxygen therapi midwestern hospit autom work attempt replic manuallycollect data set ebp projectresult autom success replic data collect studi data element avail clinic data repositori autom procedur identifi fals negat patient met inclus criteria describ ebp project select manual data collect autom data collect certain data element oxygen satur prove challeng workflow practic variat relianc dispar sourc data abstract autom also reveal instanc human error includ comput transcript error well incomplet select elig patientsconclus autom data collect analysi nursingspecif phenomenon potenti superior manual data collect method creation autom report analysi may requir initi upfront invest collabor clinician research inform technolog specialist can manag ambigu challeng research qualiti assur work healthcar

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