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PROSER: A Web-Based Peripheral Blood Smear Interpretation Support Tool Utilizing Electronic Health Record Data.
Iscoe, Mark S; Loza, Andrew J; Turbiville, Donald; Campbell, Sheldon M; Peaper, David R; Balbuena-Merle, Raisa I; Hauser, Ronald G.
Afiliación
  • Iscoe MS; Veterans Affairs Connecticut Healthcare System, West Haven, CT, US.
  • Loza AJ; Department of Emergency Medicine, Yale University School of Medicine, New Haven, CT, US.
  • Turbiville D; Veterans Affairs Connecticut Healthcare System, West Haven, CT, US.
  • Campbell SM; Department of Laboratory Medicine, Yale University School of Medicine, New Haven, CT, US.
  • Peaper DR; Veterans Affairs Connecticut Healthcare System, West Haven, CT, US.
  • Balbuena-Merle RI; Department of Laboratory Medicine, Yale University School of Medicine, New Haven, CT, US.
  • Hauser RG; Veterans Affairs Connecticut Healthcare System, West Haven, CT, US.
Am J Clin Pathol ; 160(1): 98-105, 2023 07 05.
Article en En | MEDLINE | ID: mdl-37026746
OBJECTIVES: Peripheral blood smear (PBS) interpretation represents a cornerstone of pathology practice and resident training but has remained largely static for decades. Here, we describe a novel PBS interpretation support tool. METHODS: In a mixed-methods quality improvement study, a web-based clinical decision support (CDS) tool to assist pathologists in PBS interpretation, PROSER, was deployed in an academic hospital over a 2-month period in 2022. PROSER interfaced with the hospital system's electronic health record and data warehouse to obtain and display relevant demographic, laboratory, and medication information for patients with pending PBS consults. PROSER used these data along with morphologic findings entered by the pathologist to draft a PBS interpretation using rule-based logic. We evaluated users' perceptions of PROSER with a Likert-type survey. RESULTS: PROSER displayed 46 laboratory values with corresponding reference ranges and abnormal flags, allowed for entry of 14 microscopy findings, and computed 2 calculations based on laboratory values; it composed automated PBS reports using a library of 92 prewritten phrases. Overall, PROSER was well received by residents. CONCLUSIONS: In this quality improvement study, we successfully deployed a web-based CDS tool for PBS interpretation. Future work is needed to quantitatively evaluate this intervention's effects on clinical outcomes and resident training.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Sistemas de Apoyo a Decisiones Clínicas / Registros Electrónicos de Salud Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Am J Clin Pathol Año: 2023 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Sistemas de Apoyo a Decisiones Clínicas / Registros Electrónicos de Salud Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Am J Clin Pathol Año: 2023 Tipo del documento: Article