Correction to: Inpatient nurses' preferences and decisions with risk information visualization.
Author(s):
DOI: 10.1093/jamia/ocaf028
Author(s):
DOI: 10.1093/jamia/ocaf028
Effective postoperative care is crucial for the success of total joint arthroplasty (TJA) and prevention of unnecessary emergency department (ED) visits. We explore the feasibility and acceptability of utilizing an Interactive Voice Response System (IVRS) to enhance postoperative monitoring in primary TJA patients.This pilot study was conducted with 24 participants undergoing primary TJA randomly assigned to an intervention group receiving IVRS calls (n = 12) or a control group (n = 12) receiving standard [...]
Author(s): Ayala-Ortiz, José L, McCrosson, Matthew, Jacob, Roshan, Nagabooshanam, Vinoth A, Mehta, Tapan, Al-Hardan, Waleed, McGwin, Gerald, Naranje, Sameer
DOI: 10.1055/a-2539-1283
Developing equitable, sustainable informatics solutions is key to scalability and long-term success for projects in the global health informatics (GHI) domain. This paper presents key strategies for incorporating principles of health equity in the GHI project lifecycle.
Author(s): Campbell, Elizabeth, Bear Don't Walk, Oliver J, Fraser, Hamish, Gichoya, Judy, Wagholikar, Kavishwar B, Kanter, Andrew S, Holl, Felix, Craig, Sansanee
DOI: 10.1093/jamia/ocaf015
Digital health equity, the opportunity for all to engage with digital health tools to support good health outcomes, is an emerging priority across the world. The field of digital health equity would benefit from a comprehensive and systematic understanding of digital health, digital equity, and health equity, with a focus on real-world applications. We conducted a scoping review to identify and describe published frameworks and concepts relevant to digital health [...]
Author(s): Kim, Katherine K, Backonja, Uba
DOI: 10.1093/jamia/ocaf017
Experiences sharing complex workflow-integrated clinical decision support (CDS) across health systems are sparse and not well reported. This case study presents the sharing of a hybrid electronic health record (EHR)-native and SMART-compatible CDS tool for automating provision of smoking cessation treatment for caregivers during pediatric visits.We conducted a comprehensive needs assessment using sociotechnical frameworks to identify workflow gaps and technical requirements. A multidisciplinary team of clinical informaticians, software developers, and [...]
Author(s): Saleh, Sameh N, Kim, Eric, Thayer, Jeritt G, Nabi-Burza, Emara, Karavite, Dean J, Winickoff, Jonathan P, Fiks, Alexander G, Jenssen, Brian P, Riley, Nicholas, Grundmeier, Robert W
DOI: 10.1055/a-2535-5823
Global efforts aimed at ending human immunodeficiency virus (HIV) incidence have adapted and evolved since the turn of the century. The utilization of machine learning incorporated into an electronic health record (EHR) can be refined into prediction models that identify when an individual is at greater HIV infection risk. This can create a novel and innovative approach to identifying patients eligible for preventative therapy.This study's aim was to evaluate the [...]
Author(s): Romero, Steven, Alvarez, Kristin S, Nijhawan, Ank E, Nethi, Arun, Bistransin, Katie, King, Helen L
DOI: 10.1055/a-2524-4993
To review pediatric artificial intelligence (AI) implementation studies from 2010 to 2021 and analyze reported performance measures.We searched PubMed/Medline, Embase CINHAL, Cochrane Library CENTRAL, IEEE, and Web of Science with controlled vocabulary. Inclusion criteria: AI intervention in a pediatric clinical setting that learns from data (i.e., data-driven, as opposed to rule-based) and takes actions to make patient-specific recommendations; published between 01/2010 and 10/2021; must have agency (AI must provide guidance [...]
Author(s): Kandaswamy, Swaminathan, Knake, Lindsey A, Dziorny, Adam C, Hernandez, Sean M, McCoy, Allison B, Hess, Lauren M, Orenstein, Evan, White, Mia S, Kirkendall, Eric S, Molloy, Matthew J, Hagedorn, Philip A, Muthu, Naveen, Murugan, Avinash, Beus, Jonathan M, Mai, Mark, Luo, Brooke, Chaparro, Juan D
DOI: 10.1055/a-2521-1508
Cerebral aneurysms (CAs) affect 3 to 5% of the general population, with saccular aneurysms being the most common type. Despite advances in treatment, patient understanding of CAs and associated procedures remains limited, impacting informed consent and treatment outcomes.This pilot study aims to evaluate the effectiveness of mixed reality (MR) technology in enhancing patient education and understanding of cerebral angiograms and aneurysm treatment, thereby improving the patient-surgeon communication process.A nonrandomized single-center [...]
Author(s): Murdock, Paul, Bonthu, Snehita, Chavez, Angel, Ooi, Yinn Cher
DOI: 10.1055/a-2521-1303
Registered nurses increasingly work in remote care and digital interaction roles, offering flexibility and expansion of their scope of practice. These roles may expose nurses to digital compassion fatigue, a phenomenon proposed to be characterized by the negative psychological and emotional impact of caring for patients remotely through the use of technology.The first objective of this work is to propose the phenomenon of "digital compassion fatigue" as a potentially further [...]
Author(s): Byrne, Matthew
DOI: 10.1055/a-2564-8809
While computerized provider order entry (CPOE) has become standard for medication, laboratory, referral, and imaging ordering, use in surgical case requests has not been well-described. At a large county hospital, many surgical clinics used a variety of workflows for case requests, leading to data duplication and data storage outside of the electronic health record (EHR).We hypothesized that a provider-entered order-based case request (OBCR) tool would improve data entry efficiency and [...]
Author(s): Bain, Andrew P, Low, Alyssa, Turer, Robert W, Reeder, Jonathan E, Bruns, Brandon R, Ngai, Derek, Lehmann, Christoph U, Ji, Hongzhao
DOI: 10.1055/a-2564-7405