A working framework is presented for interdisciplinary professionals for designing, building, and evaluating clinical decision support rules (expert rules) within the electronic health record. The working framework outlines the key workflow processes for eight health system organizations for selecting, designing, building, activating, and evaluating rules. In preparation, an interdisciplinary team selected expert rules for their organizations. A physician, a nurse, and/or pharmacy informatics specialists led the team for each organization. The team chose from a catalog of expert rules that were supported by regulatory or clinical evidence. The design process ensured that each expert rule followed evidence-based guidelines and was programmed to automate steps in planning and delivering patient care. Expert rules were prioritized when improving the safety and quality of care. Finally, clinical decision support rules were evaluated for abilities to improve the consistency and currency of assessments and follow-through on patient findings from these assessments. The informatics specialists from each of the health system organizations also participated in a health system oversight group to construct the key processes for this beginning framework. The group refined the processes for the selection, design, construction, activation, and evaluation of expert rules over the past 3 years. These steps offered direction to subsequent clinic and hospital organizations in a similar situation. This case study identified four key considerations when implementing and evaluating the clinical decision support expert rules within care delivery. In summary, the processes for decision support expert rules required rigorous development and change control processes to support operation.
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http://dx.doi.org/10.1097/00024665-200607000-00005 | DOI Listing |
Cell Regen
January 2025
Guangzhou National Laboratory, Guangzhou, 510005, China.
Organoid technology provides a transformative approach to understand human physiology and pathology, offering valuable insights for scientific research and therapeutic development. Human gastric organoids, in particular, have gained significant interest for applications in disease modeling, drug discovery, and studies of tissue regeneration and homeostasis. However, the lack of standardized quality control has limited their extensive clinical applications.
View Article and Find Full Text PDFIntroduction: Living with a chronic disease impacts many aspects of life, including the ability to participate in activities that enable interactions with others in society, that is, social participation (SP). Despite efforts to monitor the quality of care and life of chronically ill people in Belgium, no disease-specific patient-reported measures (PRMs) have been used. These tools are essential to understand SP and to develop evidence-based recommendations to support its improvement.
View Article and Find Full Text PDFBMC Med Educ
January 2025
University of São Paulo, São Paulo, Brazil.
Background: The COVID-19 pandemic has led to the popularization of information and communication technology in medical education. This study aimed to compare the objective structured clinical examination (OSCE) and the virtual objective structured clinical examination (vOSCE), based on expert opinion, as tools for assessing the competencies needed under medical curriculum guidelines in Brazil.
Methods: In this multicenter study, the suitability levels of the OSCE and vOSCE for assessing the competencies needed under the Brazilian National Curriculum Guidelines (DCNs) were compared.
Heart Rhythm
January 2025
IDOVEN Research, Madrid, Spain; Centro Nacional de Investigaciones Cardiovasculares (CNIC), Myocardial Pathophysiology Area, Madrid, Spain; Centro de Investigación Biomédica en Red. Enfermedades Cardiovasculares (CIBERCV), Madrid, Spain. Electronic address:
Background: Although smartphone-based devices have been developed to record 1-lead ECG, existing solutions for automatic atrial fibrillation (AF) detection often has poor positive predictive value.
Objective: This study aimed to validate a cloud-based deep learning platform for automatic AF detection in a large cohort of patients using 1-lead ECG records.
Methods: We analyzed 8,528 patients with 30-second ECG records from a single-lead handheld ECG device.
J Clin Med
January 2025
Department of Operative Gynecology, Federal State Budget Institution V. I. Kulakov Research Centre for Obstetrics, Gynecology, and Perinatology, Ministry of Health of the Russian Federation, 117997 Moscow, Russia.
: The diagnosis and treatment of endometriosis should be based on the best available evidence. Emphasising the risk of bias, the pyramid of evidence has the double-blind, randomised controlled trial and its meta-analyses on top. After the grading of all evidence by a group of experts, clinical guidelines are formulated using well-defined rules.
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