This paper examines the current state of the art in standards for the electronic health record (EHR) and messaging, and proposes a theoretical design basis for the EHR which is formal yet flexible, and which takes into account many of the difficulties experienced in the past. Recommendations are given for how convergence of EHR specifications might occur, in order to achieve a unified standard suitable for all clinical and cultural contexts.
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Dig Dis Sci
December 2024
OHDSI Collaborators, Observational Health Data Sciences and Informatics (OHDSI), New York, NY, USA.
Background And Aims: Observational healthcare data are an important tool for delineating patients' inflammatory bowel disease (IBD) journey in real-world settings. However, studies that characterize IBD cohorts typically rely on a single resource, apply diverse eligibility criteria, and extract variable sets of attributes, making comparison between cohorts challenging. We aim to longitudinally describe and compare IBD patient cohorts across multiple geographic regions, employing unified data and analysis framework.
View Article and Find Full Text PDFClin Transl Gastroenterol
December 2024
Department of Health Informatics, NYU Langone Health, New York, New York, USA.
Introduction: Failure to document colonoscopy follow-up needs postpolypectomy can lead to delayed detection of colorectal cancer (CRC). Automating the update of a unified follow-up date in the electronic health record (EHR) may increase the number of patients with guideline-concordant CRC follow-up screening.
Methods: Prospective pre-post design study of an automated rules engine-based tool using colonoscopy pathology results to automate updates to documented CRC screening due dates was performed as an operational initiative, deployed enterprise-wide May 2023.
BMJ Health Care Inform
December 2024
Department of Computer Science, Durham University, Durham, UK
Objectives: Increasing operational pressures on emergency departments (ED) make it imperative to quickly and accurately identify patients requiring urgent clinical intervention. The widespread adoption of electronic health records (EHR) makes rich feature patient data sets more readily available. These large data stores lend themselves to use in modern machine learning (ML) models.
View Article and Find Full Text PDFFront Med (Lausanne)
November 2024
Clinical Data Interchange Standards Consortium, Austin, TX, United States.
JAMIA Open
December 2024
Department of Biomedical Informatics, Harvard Medical School, Boston, MA 02115, United States.
Objective: Integrating electronic health record (EHR) data with other resources is essential in rare disease research due to low disease prevalence. Such integration is dependent on the alignment of ontologies used for data annotation. The international classification of diseases (ICD) is used to annotate clinical diagnoses, while the human phenotype ontology (HPO) is used to annotate phenotypes.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!