Author(s): Lee, Sharen, Zhou, Jiandong, Liu, Tong, Zhang, Qingpeng, Tse, Gary
DOI: 10.1093/jamia/ocac117
Author(s): Tarabichi, Yasir, Thornton, J Daryl
DOI: 10.1093/jamia/ocac118
The purpose of the study was to develop and validate a model to predict the risk of experiencing a fall for nursing home residents utilizing data that are electronically available at the more than 15 000 facilities in the United States.
Author(s): Boyce, Richard D, Kravchenko, Olga V, Perera, Subashan, Karp, Jordan F, Kane-Gill, Sandra L, Reynolds, Charles F, Albert, Steven M, Handler, Steven M
DOI: 10.1093/jamia/ocac111
After a new electronic health record (EHR) was implemented at Mayo Clinic, a training program called reBoot Camp was created to enhance ongoing education in response to needs identified by physician leaders.
Author(s): Gordon, Joel E, Belford, Sylvia M, Aranguren, Dawn L, Blair, David, Fleming, Richard, Gajarawala, Nikunj M, Heiderscheit, Jon, Laabs, Susan B, Looft, Kathryn A, Rosedahl, Jordan K, O'Horo, John C
DOI: 10.1093/jamia/ocac107
We sought to ascertain perceived factors affecting women's career development efforts in the American Medical Informatics Association (AMIA) and to provide recommendations for improvements.
Author(s): Wei, Duo Helen, Kukhareva, Polina V, Tao, Donghua, Sordo, Margarita, Pandita, Deepti, Dua, Prerna, Banerjee, Imon, Abraham, Joanna
DOI: 10.1093/jamia/ocac101
Author(s): Kukhareva, Polina, Caverly, Tanner, Kawamoto, Kensaku
DOI: 10.1093/jamia/ocac119
The HL7® fast healthcare interoperability resources (FHIR®) specification has emerged as the leading interoperability standard for the exchange of healthcare data. We conducted a scoping review to identify trends and gaps in the use of FHIR for clinical research.
Author(s): Duda, Stephany N, Kennedy, Nan, Conway, Douglas, Cheng, Alex C, Nguyen, Viet, Zayas-Cabán, Teresa, Harris, Paul A
DOI: 10.1093/jamia/ocac105
To develop and validate a standards-based phenotyping tool to author electronic health record (EHR)-based phenotype definitions and demonstrate execution of the definitions against heterogeneous clinical research data platforms.
Author(s): Brandt, Pascal S, Pacheco, Jennifer A, Adekkanattu, Prakash, Sholle, Evan T, Abedian, Sajjad, Stone, Daniel J, Knaack, David M, Xu, Jie, Xu, Zhenxing, Peng, Yifan, Benda, Natalie C, Wang, Fei, Luo, Yuan, Jiang, Guoqian, Pathak, Jyotishman, Rasmussen, Luke V
DOI: 10.1093/jamia/ocac063
To determine the variability of ingredient, strength, and dose form information from drug product descriptions in real-world electronic prescription (e-prescription) data.
Author(s): Lester, Corey A, Flynn, Allen J, Marshall, Vincent D, Rochowiak, Scott, Rowell, Brigid, Bagian, James P
DOI: 10.1093/jamia/ocac096
Electronic consultation (eConsult) content reflects important information about referring clinician needs across an organization, but is challenging to extract. The objective of this work was to develop machine learning models for classifying eConsult questions for question type and question content. Another objective of this work was to investigate the ability to solve this task with constrained expert time resources.
Author(s): Ding, Xiyu, Barnett, Michael, Mehrotra, Ateev, Tuot, Delphine S, Bitterman, Danielle S, Miller, Timothy A
DOI: 10.1093/jamia/ocac092