JAMIA Article
Retraction and replacement of: Electronic connectivity between hospital pairs: impact on emergency department-related utilization.
November 1, 2025
Author(s):
DOI: 10.1093/jamia/ocaf158
Author(s):
DOI: 10.1093/jamia/ocaf158
Author(s): Bakken, Suzanne
DOI: 10.1093/jamia/ocaf168
To use more precise measures of which hospitals are electronically connected to determine whether health information exchange (HIE) is associated with lower emergency department (ED)-related utilization.
Author(s): Adler-Milstein, Julia, Linden, Ariel, Hsia, Renee Y, Everson, Jordan
DOI: 10.1093/jamia/ocaf159
The number of ethical frameworks designed to guide artificial intelligence (AI) use has grown substantially over the past decade, yet their real-world effect remains unclear. We aimed to synthesize existing evidence to analyze the practical impact of AI ethics frameworks (AIEFs) operationalized in healthcare.
Author(s): Chan, Anastasia, Rahimi-Ardabilli, Hania, Rogers, Wendy A, Coiera, Enrico
DOI: 10.1093/jamia/ocaf167
To understand whether patients prefer chatbots for certain tasks in healthcare, and their motivations for doing so, recognizing that chatbots are already assisting patients with various healthcare tasks.
Author(s): Dellavalle, Natalia S, Ellis, Jessica R, Moore, Annie A, Akerson, Marlee, Andazola, Matt, Campbell, Eric G, DeCamp, Matthew
DOI: 10.1093/jamia/ocaf164
This perspective explores how ambient artificial intelligence (AI) scribes could support documentation and quality improvement (QI) of structured, team-based provider-to-provider communication in acute care settings.
Author(s): Jalilian, Laleh, Lukac, Paul, Lane-Fall, Meghan
DOI: 10.1093/jamia/ocaf166
The use of real-world data (RWD) in artificial intelligence (AI) applications for healthcare offers unique opportunities but also poses complex challenges related to interpretability, transparency, safety, efficacy, bias, equity, privacy, ethics, accountability, and stakeholder engagement.
Author(s): Koski, Eileen, Das, Amar, Hsueh, Pei-Yun Sabrina, Solomonides, Anthony, Joseph, Amanda L, Srivastava, Gyana, Johnson, Carl Erwin, Kannry, Joseph, Oladimeji, Bilikis, Price, Amy, Labkoff, Steven, Bharathy, Gnana, Lin, Baihan, Fridsma, Douglas, Fleisher, Lee A, Lopez-Gonzalez, Monica, Singh, Reva, Weiner, Mark G, Stolper, Robert, Baris, Russell, Sincavage, Suzanne, Naumann, Tristan, Williams, Tayler, Bui, Tien Thi Thuy, Quintana, Yuri
DOI: 10.1093/jamia/ocaf133
This work highlights successes and challenges of implementing a novel responsible artificial intelligence (RAI) framework, emphasizing healthcare disciplines needed to operationalize it.
Author(s): Tsoi, Ada H, Gartner, Gary, Cotten, Steven W, Kim, John, Nazarian, John, Thomas, Joseph, McSwain, Steven David, Ahmadi-Moosavi, Rachini, Rimal, Ram
DOI: 10.1093/jamia/ocaf147
To identify a brief scale to accurately assess digital skills among older adults for use in identifying need for support to use digital health tools.
Author(s): Tieu, Lina, Lyles, Courtney R, Kim, Hyunjin Cindy, Luna, Isabel, Wong, Jeanette, Lopez-Solano, Naomi, Li, Junhong, Yang, Andersen, Rodriguez, Jorge A, Nguyen, Oanh Kieu, Casillas, Alejandra, De Marchis, Emilia H, Stewart, Anita L, Neilands, Torsten B, Khoong, Elaine C
DOI: 10.1093/jamia/ocaf151
Neurofibromatosis type 1 (NF1) is a rare genetic disorder affecting multiple organ systems with significant clinical heterogeneity. Managing individuals with NF1 is challenging due to variability in disease progression and outcomes and limited early risk assessment tools.
Author(s): Kaster, Levi, Hillis, Ethan, Oh, Inez Y, Cordell, Elizabeth C, Foraker, Randi E, Lai, Albert M, Morris, Stephanie M, Gutmann, David H, Payne, Philip R O, Gupta, Aditi
DOI: 10.1093/jamia/ocaf155