Correction to: Predicting risk of metastases and recurrence in soft-tissue sarcomas via Radiomics and Formal Methods.
[This corrects the article DOI: 10.1093/jamiaopen/ooad025.].
Author(s):
DOI: 10.1093/jamiaopen/ooad064
[This corrects the article DOI: 10.1093/jamiaopen/ooad025.].
Author(s):
DOI: 10.1093/jamiaopen/ooad064
To test the association between the initial red blood cell distribution width (RDW) value in the emergency department (ED) and hospital admission and, among those admitted, in-hospital mortality.
Author(s): Hong, Woo Suk, Rudas, Akos, Bell, Elijah J, Chiang, Jeffrey N
DOI: 10.1093/jamiaopen/ooad053
Precise, reliable, valid metrics that are cost-effective and require reasonable implementation time and effort are needed to drive electronic health record (EHR) improvements and decrease EHR burden. Differences exist between research and vendor definitions of metrics. PROCESS: We convened three stakeholder groups (health system informatics leaders, EHR vendor representatives, and researchers) in a virtual workshop series to achieve consensus on barriers, solutions, and next steps to implementing the core EHR [...]
Author(s): Levy, Deborah R, Moy, Amanda J, Apathy, Nate, Adler-Milstein, Julia, Rotenstein, Lisa, Nath, Bidisha, Rosenbloom, S Trent, Kannampallil, Thomas, Mishuris, Rebecca G, Alexanian, Aram, Sieja, Amber, Hribar, Michelle R, Patel, Jigar S, Sinsky, Christine A, Melnick, Edward R
DOI: 10.1055/a-2187-3243
Efficiently identifying the social risks of patients with serious illnesses (SIs) is the critical first step in providing patient-centered and value-driven care for this medically vulnerable population.
Author(s): Xie, Fagen, Wang, Susan, Viveros, Lori, Rich, Allegra, Nguyen, Huong Q, Padilla, Ariadna, Lyons, Lindsey, Nau, Claudia L
DOI: 10.1093/jamiaopen/ooad082
Medication discrepancies between clinical systems may pose a patient safety hazard. In this paper, we identify challenges and quantify medication discrepancies across transitions of care.
Author(s): Araya, Alejandro, Thornton, Logan R, Kwon, Deukwoo, Ferguson, Gayla M, Highfield, Linda D, Hwang, Kevin O, Holmes, Holly M, Bernstam, Elmer V
DOI: 10.1055/a-2178-0197
To analyze PeriData.Net, a clinical registry with linked maternal-infant hospital data of Milwaukee County residents, to demonstrate a predictive analytic approach to perinatal infant risk assessment.
Author(s): Holt, Jeana M, Talsma, AkkeNeel, Johnson, Teresa S, Ehlinger, Timothy
DOI: 10.1093/jamiaopen/ooad080
Patient-centered clinical decision support (PC CDS) aims to assist with tailoring decisions to an individual patient's needs. Patient-generated health data (PGHD), including physiologic measurements captured frequently by automated devices, provide important information for PC CDS. The volume and availability of such PGHD is increasing, but how PGHD should be presented to clinicians to best aid decision-making is unclear.
Author(s): Shenvi, Edna, Boxwala, Aziz, Sittig, Dean, Zott, Courtney, Lomotan, Edwin, Swiger, James, Dullabh, Prashila
DOI: 10.1055/a-2174-7820
The primary aim of this study was to apply a novel technology acceptance model (TAM) for virtual reality (VR) in healthcare. The secondary aim was to assess reliability of this model to evaluate factors that predict the intentions of pediatric health providers' use of VR as an anxiolytic for hospitalized pediatric patients.
Author(s): Wang, Ellen Y, Kennedy, Kristin M, Zhang, Lijin, Qian, Daniel, Forbes, Ty, Zuniga-Hernandez, Michelle, Li, Brian S-K, Domingue, Benjamin, Caruso, Thomas J
DOI: 10.1093/jamiaopen/ooad076
Health-related chatbots have demonstrated early promise for improving self-management behaviors but have seldomly been utilized for hypertension. This research focused on the design, development, and usability evaluation of a chatbot for hypertension self-management, called "Medicagent."
Author(s): Griffin, Ashley C, Khairat, Saif, Bailey, Stacy C, Chung, Arlene E
DOI: 10.1093/jamiaopen/ooad073
Critically ill patients are at greater risk of healthcare-associated infections (HAIs). The use of maintenance bundles helps to reduce this risk but also generates a rapid accumulation of complex data that is difficult to aggregate and subsequently act upon.
Author(s): Davis, Claire Leilani, Bjoring, Margot, Hursh, Jordyn, Smith, Samuel, Blevins, Cheri, Blackstone, Kris, Nicholson, Evie, Hoke, Tracey, Michel, Jonathan, Noth, Imre, Barros, Andrew, Enfield, Kyle
DOI: 10.1055/a-2165-5861