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Human-centered design of a health recommender system for orthopaedic shoulder treatment.
BMC Med Inform Decis Mak
January 2025
Department of Public Health Sciences, Clemson University, Clemson, SC, USA.
Background: Rich data on diverse patients and their treatments and outcomes within Electronic Health Record (EHR) systems can be used to generate real world evidence. A health recommender system (HRS) framework can be applied to a decision support system application to generate data summaries for similar patients during the clinical encounter to assist physicians and patients in making evidence-based shared treatment decisions.
Objective: A human-centered design (HCD) process was used to develop a HRS for treatment decision support in orthopaedic medicine, the Informatics Consult for Individualized Treatment (I-C-IT).
Investigating Moral Distress in Clinical Research Professionals-A Deep Dive into Troubled Waters.
Ethics Hum Res
January 2025
Professor of health humanities and ethics, psychiatry, and public health sciences at the Center for Health Humanities and Ethics at the University of Virginia School of Medicine.
Moral distress occurs when professionals are constrained from taking what they believe to be ethically appropriate actions or are forced to take actions they believe are ethically inappropriate, challenging their professional identities and representing systems-level issues within organizations. Moral distress has been recognized in a variety of health care-related fields; however, the phenomenon is still comparatively unexplored among clinical research professionals (CRPs). In this qualitative study, we interviewed ten CRPs to unearth root causes of moral distress in this ethically unique profession.
View Article and Find Full Text PDFRecording practices of body mass index, overweight and obesity by Dutch general practitioners: an observational study.
BMC Prim Care
January 2025
Department of Public Health and Primary Care, Leiden University Medical Center, Leiden, The Netherlands.
Background: Routine body mass index (BMI) recording in electronic health records (EHR) could support general practitioners (GPs) in managing patients with obesity. This study aimed to evaluate recording practices of BMI, overweight, and obesity in adults including subgroup analysis of age, sex, and comorbidities in primary care in the Netherlands.
Methods: An observational study of individuals aged ≥ 18 years and registered between 2007 and 2023, using routine healthcare data from the Extramural LUMC Academic Network (ELAN) in the Netherlands.
EXACT-Net: Framework for EHR-Guided Lung Tumor Auto-Segmentation for Non-Small Cell Lung Cancer Radiotherapy.
Cancers (Basel)
December 2024
Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University, Baltimore, MD 21287, USA.
Background/objectives: Lung cancer is a devastating disease with the highest mortality rate among cancer types. Over 60% of non-small cell lung cancer (NSCLC) patients, accounting for 87% of lung cancer diagnoses, require radiation therapy. Rapid treatment initiation significantly increases the patient's survival rate and reduces the mortality rate.
View Article and Find Full Text PDFMachine learning to predict adverse drug events based on electronic health records: a systematic review and meta-analysis.
J Int Med Res
December 2024
Department of Pharmacy, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Objective: This systematic review aimed to provide a comprehensive overview of the application of machine learning (ML) in predicting multiple adverse drug events (ADEs) using electronic health record (EHR) data.
Methods: Systematic searches were conducted using PubMed, Web of Science, Embase, and IEEE Xplore from database inception until 21 November 2023. Studies that developed ML models for predicting multiple ADEs based on EHR data were included.
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