Evidence-based medicine on FHIR augments the standards-based approach to digital health research.
Author(s): Alper, Brian S, Dehnbostel, Joanne, Lehmann, Harold
DOI: 10.1093/jamia/ocag024
Author(s): Alper, Brian S, Dehnbostel, Joanne, Lehmann, Harold
DOI: 10.1093/jamia/ocag024
Physician and advanced practice provider (APP) well-being is a critical focus in healthcare. Emerging technology such as generative artificial intelligence (GAI) scribes reduces physician and APP administrative burden created by electronic health records. Early adopters of this technology have demonstrated promising improvements in clinical documentation, well-being, and cognitive load. However, further exploration across professional roles is warranted.
Author(s): Schneider, Kathryn R, Swann-Thomsen, Hillary E, Ribbens, Terry G, Bahnmaier, Lucas A, Satterfield, Trevor, Pullicar, Reme, Soni, Neeraj
DOI: 10.1093/jamia/ocag005
Author(s): Zablah, Jose, Molina, Yolly, Garcia Loureiro, Antonio
DOI: 10.1093/jamia/ocag023
Author(s): Cheng, Weihao
DOI: 10.1093/jamia/ocag022
Our study aims to assess the time-cost burden reduction of transitioning from manual case reporting to electronic case reporting (eCR) for COVID-19 among healthcare organizations (HCOs) over a 1-year period.
Author(s): Rincón-Guevara, Oscar, Olorukooba, Abdulhakeem A, Eau, Grace, Ritchey, Matthew D, Conn, Laura A, Knicely, Kimberly
DOI: 10.1093/jamia/ocag011
Efficient exchange of health information requires consistent representation of clinical concepts across laboratories, hospitals, and public health systems. LOINC supports this interoperability by standardizing laboratory test codes, but mapping remains difficult when datasets are incomplete, inconsistently formatted, or structurally diverse. These challenges often create a mismatch between algorithmic performance in controlled settings and real-world deployment. This study aimed to develop a biomedical natural language processing (NLP) approach for mapping heterogeneous [...]
Author(s): Naliyatthaliyazchayil, Parvati, Sangam, Venkat Ramana, Amlung, Joseph, Kanter, Andrew S, Purkayastha, Saptarshi, Payne, Jonathan
DOI: 10.1093/jamia/ocag010
To comprehensively evaluate the validity of International Classification of Diseases, Tenth Revision, Clinical Modification (ICD-10-CM) codes for both prevalent diagnoses and less common diseases, and to assess the performance of a large language model (LLM)-based system in validating these codes.
Author(s): Wang, Yichen, Song, Yilin, Siu, Rex, Nimma, Induja R, Yan, Yan, Savage, Thomas R, Wang, Yiming, Li, Zhichen, Ramai, Daryl, Wang, Jiale, Badurdeen, Dilhana, Tao, Cui, Kumbhari, Vivek, Huang, Yuting
DOI: 10.1093/jamia/ocag008
Author(s): Bakken, Suzanne
DOI: 10.1093/jamia/ocag049
Elevated blood pressure (BP) and hypertension are often overlooked in pediatric care. We adapted a pediatric hypertension clinical decision support (CDS) for a primarily rural health system and compared CDS impact across varied implementation approaches.
Author(s): Kharbanda, Elyse O, Asche, Stephen E, Essien, Inih, Allen, Clayton I, Freitag, Laura A, Ekstrom, Heidi L, Kromrey, Kay A, Muthineni, Abhilash, Saman, Daniel M, Thirumalai, Vijayakumar, O'Connor, Patrick J, Benziger, Catherine P
DOI: 10.1093/jamia/ocag031
We aimed to identify and map recent studies using high-frequency, time-series electronic patient-generated health data (ePGHD) to assess treatment response; characterize ePGHD types and collection methods; summarize ePGHD-based definitions of treatment response; and describe analytical approaches used.
Author(s): Banda, Michelo, Bladon, Sian, Al-Attar, Mariam, Cahuantzi, Roberto, Jenkins, David A, Dixon, William G, van der Veer, Sabine N
DOI: 10.1093/jamia/ocag027