Re: Inaccuracies in electronic health records smoking data and a potential approach to address resulting underestimation in determining lung cancer screening eligibility.
Author(s): Tarabichi, Yasir, Thornton, J Daryl
DOI: 10.1093/jamia/ocac118
Author(s): Tarabichi, Yasir, Thornton, J Daryl
DOI: 10.1093/jamia/ocac118
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
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
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
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
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
Cardiac surgery patients are at high risk for readmissions after hospital discharge- few of these readmissions are preventable by mitigating barriers underlying discharge care transitions. An in-depth evaluation of the nuances underpinning the discharge process and the use of tools to support the process, along with insights on patient and clinician experiences, can inform the design of evidence-based strategies to reduce preventable readmissions.
Author(s): Abraham, Joanna, Kandasamy, Madhumitha, Huggins, Ashley
DOI: 10.1093/jamia/ocac099
Author(s):
DOI: 10.1093/jamia/ocac102
We aim to investigate the application and accuracy of artificial intelligence (AI) methods for automated medical literature screening for systematic reviews.
Author(s): Feng, Yunying, Liang, Siyu, Zhang, Yuelun, Chen, Shi, Wang, Qing, Huang, Tianze, Sun, Feng, Liu, Xiaoqing, Zhu, Huijuan, Pan, Hui
DOI: 10.1093/jamia/ocac066