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
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
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
Artificial intelligence (AI) scribes use advanced speech recognition and natural language processing to automate clinical documentation and ease administrative burden. However, little is known about the impact of AI scribes on clinicians, patients and organizations.
Author(s): Hassan, Hadeel, Zipursky, Amy Rebecca, Rabbani, Naveed, You, Jacqueline Guan-Ting, Tse, Gabriel, Orenstein, Evan, Parsons, Chase Richard, Jessa, Karim, Lawton, Greg, Shin, H Stella, Sung, Lillian, Ray, Mondira, Yan, Adam Paul
DOI: 10.1055/a-2597-2017
Electronic health record (EHR) usage measures may quantify physician activity at scale and predict practice settings with high risk for physician burnout, but their relation to experiences are poorly understood.
Author(s): Tawfik, Daniel, Sebok-Syer, Stefanie S, Bragdon, Cassandra, Brown-Johnson, Cati, Winget, Marcy, Bayati, Mohsen, Shanafelt, Tait, Profit, Jochen
DOI: 10.1055/a-2595-0415
The patient-facing ASTHMAXcel mobile platform has been linked to improved asthma knowledge, decreased asthma-related healthcare utilization (emergency department (ED) visits, hospitalizations), and reduced prednisone use among adult and pediatric patient populations.
Author(s): Nadelmann, Julia, Patel, Milin, Lane, Sarah, Hammock, James, Stark, Allison, Jariwala, Sunit
DOI: 10.1055/a-2595-3329
Background While Electronic Health Record (EHR)-based tools for refugee health screening exist, supports for other immigrant children has lagged. Reasons include lack of time, difficulty determining screening eligibility, and lack of awareness of screening recommendations. EHR-based tools to promote immigrant child health screening (ICHS) can address these challenges, but guidance is needed for tools that are usable by clinicians and acceptable to immigrant families. Objectives Develop useful EHR-based tools to [...]
Author(s): Michel, Jeremy Joseph, Karavite, Dean, While, Daniel, Mudenge, Nadège, Dawson-Hahn, Elizabeth, Yun, Kate
DOI: 10.1055/a-2594-3633