[This corrects the article DOI: 10.1093/jamiaopen/ooae003.].
Author(s):
DOI: 10.1093/jamiaopen/ooae030
This study aimed to develop healthcare data marketplace using blockchain-based B2C model that ensures the transaction of healthcare data among individuals, companies, and marketplaces.
Author(s): Kim, KangHyun, Kim, Sung-Min, Park, YoungMin, Lee, EunSol, Jung, SungJae, Kang, Jeongyong, An, DongUk, Min, Kyungil, Shim, Sung Ryul, Yu, Hyeong Won, Han, Hyun Wook
DOI: 10.1093/jamiaopen/ooae029
[This retracts the article DOI: 10.1093/jamiaopen/ooad090.].
Author(s):
DOI: 10.1093/jamiaopen/ooae036
Telehealth or remote care has been widely leveraged to provide health care support and has achieved tremendous developments and positive results, including in low- and middle-income countries (LMICs). Social networking platform, as an easy-to-use tool, has provided users with simplified means to collect data outside of the traditional clinical environment. WeChat, one of the most popular social networking platforms in many countries, has been leveraged to conduct telehealth and hosted [...]
Author(s): Ye, Jiancheng
DOI: 10.1093/jamiaopen/ooae047
Natural language processing (NLP) can enhance research on activities of daily living (ADL) by extracting structured information from unstructured electronic health records (EHRs) notes. This review aims to give insight into the state-of-the-art, usability, and performance of NLP systems to extract information on ADL from EHRs.
Author(s): Wieland-Jorna, Yvonne, van Kooten, Daan, Verheij, Robert A, de Man, Yvonne, Francke, Anneke L, Oosterveld-Vlug, Mariska G
DOI: 10.1093/jamiaopen/ooae044
This paper reports on a mixed methods formative evaluation to support the design and implementation of information technology (IT) tools for a primary care weight management intervention delivered through the patient portal using primary care staff as coaches.
Author(s): Kukhareva, Polina V, Weir, Charlene R, Cedillo, Maribel, Taft, Teresa, Butler, Jorie M, Rudd, Elizabeth A, Zepeda, Jesell, Zheutlin, Emily, Kiraly, Bernadette, Flynn, Michael, Conroy, Molly B, Kawamoto, Kensaku
DOI: 10.1093/jamiaopen/ooae038
A data commons is a software platform for managing, curating, analyzing, and sharing data with a community. The Pandemic Response Commons (PRC) is a data commons designed to provide a data platform for researchers studying an epidemic or pandemic.
Author(s): Trunnell, Matthew, Frankenberger, Casey, Hota, Bala, Hughes, Troy, Martinov, Plamen, Ravichandran, Urmila, Shah, Nirav S, Grossman, Robert L, ,
DOI: 10.1093/jamiaopen/ooae025
Absolute risk models estimate an individual's future disease risk over a specified time interval. Applications utilizing server-side risk tooling, the R-based iCARE (R-iCARE), to build, validate, and apply absolute risk models, face limitations in portability and privacy due to their need for circulating user data in remote servers for operation. We overcome this by porting iCARE to the web platform.
Author(s): Balasubramanian, Jeya Balaji, Choudhury, Parichoy Pal, Mukhopadhyay, Srijon, Ahearn, Thomas, Chatterjee, Nilanjan, García-Closas, Montserrat, Almeida, Jonas S
DOI: 10.1093/jamiaopen/ooae055
[This corrects the article DOI: 10.1093/jamiaopen/ooae039.].
Author(s):
DOI: 10.1093/jamiaopen/ooae063
To evaluate patient-reported experiences of telehealth and disparities in access, use, and satisfaction with telehealth during the COVID-19 pandemic.
Author(s): Yoon, Esther, Hur, Scott, Curtis, Laura M, Benavente, Julia Yoshino, Wolf, Michael S, Serper, Marina
DOI: 10.1093/jamiaopen/ooae026