A changed world built on informatics innovation.
Author(s): Sarkar, Indra Neil
DOI: 10.1093/jamiaopen/ooab002
Author(s): Sarkar, Indra Neil
DOI: 10.1093/jamiaopen/ooab002
Electronic health record (EHR) optimization has been identified as a best practice to reduce burnout and improve user satisfaction; however, measuring success can be challenging. The goal of this manuscript is to describe the limitations of measuring optimizations and opportunities to combine assessments for a more comprehensive evaluation of optimization outcomes. The authors review lessons from 3 U.S. healthcare institutions that presented their experiences and recommendations at the American Medical [...]
Author(s): Lourie, Eli M, Stevens, Lindsay A, Webber, Emily C
DOI: 10.1093/jamiaopen/ooaa056
Patient-generated health data (PGHD) are clinically relevant data captured by patients outside of the traditional care setting. Clinical use of PGHD has emerged as an essential issue. This study explored the evidence to determine the extent of and describe the characteristics of PGHD integration into electronic health records (EHRs).
Author(s): Tiase, Victoria L, Hull, William, McFarland, Mary M, Sward, Katherine A, Del Fiol, Guilherme, Staes, Catherine, Weir, Charlene, Cummins, Mollie R
DOI: 10.1093/jamiaopen/ooaa052
Patient information can be retrieved more efficiently in electronic medical record (EMR) systems by using machine learning models that predict which information a physician will seek in a clinical context. However, information-seeking behavior varies across EMR users. To explicitly account for this variability, we derived hierarchical models and compared their performance to nonhierarchical models in identifying relevant patient information in intensive care unit (ICU) cases.
Author(s): Tajgardoon, Mohammadamin, Cooper, Gregory F, King, Andrew J, Clermont, Gilles, Hochheiser, Harry, Hauskrecht, Milos, Sittig, Dean F, Visweswaran, Shyam
DOI: 10.1093/jamiaopen/ooaa058
The study aimed to develop simplified diagnostic models for identifying girls with central precocious puberty (CPP), without the expensive and cumbersome gonadotropin-releasing hormone (GnRH) stimulation test, which is the gold standard for CPP diagnosis.
Author(s): Pan, Liyan, Liu, Guangjian, Mao, Xiaojian, Liang, Huiying
DOI: 10.1093/jamiaopen/ooaa063
Observational medical databases, such as electronic health records and insurance claims, track the healthcare trajectory of millions of individuals. These databases provide real-world longitudinal information on large cohorts of patients and their medication prescription history. We present an easy-to-customize framework that systematically analyzes such databases to identify new indications for on-market prescription drugs.
Author(s): Ozery-Flato, Michal, Goldschmidt, Yaara, Shaham, Oded, Ravid, Sivan, Yanover, Chen
DOI: 10.1093/jamiaopen/ooaa048
Expert abstraction of acute toxicities is critical in oncology research but is labor-intensive and variable. We assessed the accuracy of a natural language processing (NLP) pipeline to extract symptoms from clinical notes compared to physicians.
Author(s): Hong, Julian C, Fairchild, Andrew T, Tanksley, Jarred P, Palta, Manisha, Tenenbaum, Jessica D
DOI: 10.1093/jamiaopen/ooaa064
Secure messaging has become an integrated function of patient portals, but misuse of secure messaging by both patients and clinicians can lead to miscommunication and errors, such as overlooked urgent messages. We sought to uncover variations in clinician approaches and responses to messaging with patients.
Author(s): Lee, Joy L, Matthias, Marianne S, Huffman, Monica, Frankel, Richard M, Weiner, Michael
DOI: 10.1093/jamiaopen/ooaa051
To identify needs in a clinical decision support tool development by exploring how primary care providers currently collect and use family health history (FHH).
Author(s): Taber, Peter, Ghani, Parveen, Schiffman, Joshua D, Kohlmann, Wendy, Hess, Rachel, Chidambaram, Valli, Kawamoto, Kensaku, Waller, Rosalie G, Borbolla, Damian, Del Fiol, Guilherme, Weir, Charlene
DOI: 10.1093/jamiaopen/ooaa035
In the last decade, expanding use of health information technology (IT) across the United States has created opportunities for use of electronic health data for health services and biomedical research, but efforts may be hampered by limited data access, data quality, and system functionality. We identify five opportunities to advance the use of health IT for health services and biomedical research, which informed a federal government-led, collaborative effort to develop [...]
Author(s): Zayas-Cabán, Teresa, Wald, Jonathan S
DOI: 10.1093/jamiaopen/ooaa037