Author(s): Lam, Barbara D, Dupee, David, Gerard, Macda, Bell, Sigall K
DOI: 10.1055/s-0043-1761436
For caregivers of adolescents and young adults with severe cognitive deficits, or "diminished capacity," access to the medical record can be critical. However, this can be a challenge when utilizing the electronic health record (EHR) as information is often restricted in order to protect adolescent confidentiality. Having enhanced access for these proxies would be expected to improve engagement with the health system for the families of these medically complex adolescents [...]
Author(s): Carlson, Jennifer L, Pageler, Natalie, McPherson, Tom, Anoshiravani, Arash
DOI: 10.1055/s-0043-1760847
It is 30 years since evidence-based medicine became a great support for individual clinical expertise in daily practice and scientific research. Electronic systems can be used to achieve the goal of collecting data from heterogeneous datasets and to support multicenter clinical trials. The Ligurian Infectious Diseases Network (LIDN) is a web-based platform for data collection and reuse originating from a regional effort and involving many professionals from different fields.
Author(s): Mora, Sara, Giannini, Barbara, Di Biagio, Antonio, Cenderello, Giovanni, Nicolini, Laura Ambra, Taramasso, Lucia, Dentone, Chiara, Bassetti, Matteo, Giacomini, Mauro
DOI: 10.1055/s-0042-1760081
Author(s): Arvisais-Anhalt, Simone, Ravi, Akshay, Weia, Benjamin, Aarts, Jos, Ahmad, Hasan B, Araj, Ellen, Bauml, Julie A, Benham-Hutchins, Marge, Boyd, Andrew D, Brecht-Doscher, Aimee, Butler-Henderson, Kerryn, Butte, Atul J, Cardilo, Anthony B, Chilukuri, Nymisha, Cho, Mildred K, Cohen, Jenny K, Craven, Catherine K, Crusco, Salvatore, Dadabhoy, Farah, Dash, Dev, DeBolt, Claire, Elkin, Peter L, Fayanju, Oluseyi A, Fochtmann, Laura J, Graham, Justin V, Hanna, John J, Hersh, William, Hofford, Mackenzie R, Hron, Jonathan D, Huang, Sean S, Jackson, Brian R, Kaplan, Bonnie, Kelly, William, Ko, Kyungmin, Koppel, Ross, Kurapati, Nikhil, Labbad, Gabriel, Lee, Julie J, Lehmann, Christoph U, Leitner, Stefano, Liao, Zachary C, Medford, Richard J, Melnick, Edward R, Muniyappa, Anoop N, Murray, Sara G, Neinstein, Aaron Barak, Nichols-Johnson, Victoria, Novak, Laurie Lovett, Ogan, William Scott, Ozeran, Larry, Pageler, Natalie M, Pandita, Deepti, Perumbeti, Ajay, Petersen, Carolyn, Pierce, Logan, Puttagunta, Raghuveer, Ramaswamy, Priya, Rogers, Kendall M, Rosenbloom, S Trent, Ryan, Angela, Saleh, Sameh, Sarabu, Chethan, Schreiber, Richard, Shaw, Kate A, Sim, Ida, Sirintrapun, S Joseph, Solomonides, Anthony, Spector, Jacob D, Starren, Justin B, Stoffel, Michelle, Subbian, Vignesh, Swanson, Karl, Tomes, Adrian, Trang, Karen, Unertl, Kim M, Weon, Jenny L, Whooley, Mary A, Wiley, Kevin, Williamson, Drew F K, Winkelstein, Peter, Wong, Jenson, Xie, James, Yarahuan, Julia K W, Yung, Nathan, Zera, Chloe, Ratanawongsa, Neda, Sadasivaiah, Shobha
DOI: 10.1055/a-2000-7590
The lack of information interoperability between different devices and systems in the intensive care unit (ICU) hinders further utilization of data, especially for early warning of specific diseases in the ICU.
Author(s): Chen, Qiyu, Li, Ranran, Lin, ChihChe, Lai, Chiming, Huang, Yaling, Lu, Wenlian, Li, Lei
DOI: 10.1055/a-1990-3037
Hypoglycemia (HG) causes symptoms that can be fatal, and confers risk of dementia. Wearable devices can improve measurement and feedback to patients and clinicians about HG events and risk.
Author(s): Weiner, Michael, Adeoye, Philip, Boeh, Margaret J, Bodke, Kunal, Broughton, Jessica, Butler, Anietra R, Dafferner, Mackenzie L, Dirlam, Lindsay A, Ferguson, Denisha, Keegan, Amanda L, Keith, NiCole R, Lee, Joy L, McCorkle, Corrina B, Pino, Daniel G, Shan, Mu, Srinivas, Preethi, Tang, Qing, Teal, Evgenia, Tu, Wanzhu, Savoy, April, Callahan, Christopher M, Clark, Daniel O
DOI: 10.1055/a-1975-4136
To determine whether novel measures of contextual factors from multi-site electronic health record (EHR) audit log data can explain variation in clinical process outcomes.
Author(s): Rose, Christian, Thombley, Robert, Noshad, Morteza, Lu, Yun, Clancy, Heather A, Schlessinger, David, Li, Ron C, Liu, Vincent X, Chen, Jonathan H, Adler-Milstein, Julia
DOI: 10.1093/jamia/ocac201
Distributed learning avoids problems associated with central data collection by training models locally at each site. This can be achieved by federated learning (FL) aggregating multiple models that were trained in parallel or training a single model visiting sites sequentially, the traveling model (TM). While both approaches have been applied to medical imaging tasks, their performance in limited local data scenarios remains unknown. In this study, we specifically analyze FL [...]
Author(s): Souza, Raissa, Mouches, Pauline, Wilms, Matthias, Tuladhar, Anup, Langner, Sönke, Forkert, Nils D
DOI: 10.1093/jamia/ocac204
Examine whether distribution of tablets to patients with access barriers influences their adoption and use of patient portals.
Author(s): Griffin, Ashley C, Troszak, Lara K, Van Campen, James, Midboe, Amanda M, Zulman, Donna M
DOI: 10.1093/jamia/ocac195
Inefficient workflows affect many health care stakeholders including patients, caregivers, clinicians, and staff. Widespread health information technology adoption and modern computing provide opportunities for more efficient health care workflows through automation. The Office of the National Coordinator for Health Information Technology (ONC) led a multidisciplinary effort with stakeholders across health care and experts in industrial engineering, computer science, and finance to explore opportunities for automation in health care. The effort [...]
Author(s): Zayas-Cabán, Teresa, Okubo, Tracy H, Posnack, Steven
DOI: 10.1093/jamia/ocac197