Clinical decision-making and artificial intelligence.
Author(s): Bakken, Suzanne
DOI: 10.1093/jamia/ocaf131
Author(s): Bakken, Suzanne
DOI: 10.1093/jamia/ocaf131
Human-centered design (HCD) methods in machine learning generally focus on workflow, user interfaces, and data visualizations, but there is the potential to apply these methods to inform the model development and testing process.This study aimed to demonstrate the potential of HCD methods to support the design and testing of machine learning models developed for clinical decision-making.In preparing for formative user testing of clinician facing representations of a machine learning model [...]
Author(s): Karavite, Dean, Cao, Lusha, Harris, Mary C, Fidel, Alex, Ungar, Lyle, Shaeffer, Gerald, Xiao, Rui, Brady, Patrick, Kaplan, Heather C, Grundmeier, Robert W
DOI: 10.1055/a-2618-4470
The current study examined the moderating effect of self-control on the relationship between attitudes toward cybersecurity and risky online behaviors among direct care nurses.A cross-sectional study collected data from 260 direct care nurses in Saudi Arabia using a self-reported questionnaire. Hierarchical multiple regression analysis and simple slope analysis examined the moderation effect of self-control on the relationship between attitudes toward cybersecurity and risky online behaviors.We found that a better attitude [...]
Author(s): Othman, Elham H, Haj, Wasem I Al, Alosta, Mohammad R, Qan'Ir, Yousef, Aburuz, Mohannad Eid, Almagharbeh, Wesam Taher
DOI: 10.1055/a-2699-9179
Ensuring clinician safety in health care settings is critical, particularly regarding exposure to hazardous drugs and bodily fluids, which can be carcinogenic, teratogenic, genotoxic, or cause organ toxicity at low doses. At SickKids a safety issue arose when a clinician was unknowingly exposed to hazardous bodily fluids due to inadequate communication of a patient's hazardous medication status.This clinical decision support (CDS) redesign aimed to reduce alert fatigue while ensuring timely [...]
Author(s): Patterson, Erica, Yan, Adam Paul, Silver, Shawna, Cardiff, Bren
DOI: 10.1055/a-2616-9992
Terminologies, such as Systematized Nomenclature of Medicine Clinical Terms (SNOMED CT) and Solor, assist with knowledge representation and management, data integration, and triggering clinical decision support (CDS) rules. Semantic relations in these terminologies provide explicit meaning in compositional expressions, which assist with many of the above-listed activities.The aims of this research are to: (1) identify semantic relations that are not fully present in SNOMED CT and Solor and (2) use [...]
Author(s): Resnick, Melissa P, Hitt, James, McCray, Wilmon, Hall, Kendria, LeHouillier, Frank, Brown, Steven H, Campbell, Keith E, Montella, Diane, Nebeker, Jonathan, Elkin, Peter L
DOI: 10.1055/a-2606-9411
Electronic health record (EHR) systems have become integral to hospital-based care, with studies showing physicians spending significant time interfacing with these systems. While EHR interactions are necessary for patient care, understanding usage patterns can identify opportunities for system optimization and workflow improvement. Previous studies have focused on outpatient settings, making this study among the first to comprehensively analyze inpatient EHR interaction patterns.This study aims to characterize EHR utilization patterns among [...]
Author(s): Safian, Gabrielle, Tio, Kaiyu, Tang, Kevin, Arora, Shitij, Jariwala, Sunit
DOI: 10.1055/a-2615-4085
While nursing summaries in electronic health records are used for initial orientation to a patient's status, research on nurses' use of these summaries remains scarce. This case study conducted an eye-tracking simulation to identify (1) key information types (orders, vital signs, etc.), (2) frequently paired information types, and (3) common sequential patterns of information types within nursing summaries as nurses review simulated patient cases.We recruited 33 medical-surgical nurses from a [...]
Author(s): Park, Suhyun, Marquard, Jenna L, Austin, Robin R, Martin, Christie L, Pieczkiewicz, David S, Delaney, Connie W
DOI: 10.1055/a-2688-4056
This study aimed to explore: (1) how nurses in the acute care setting describe their experience(s) of excessive documentation burden (ExDocBurden); (2) what factors contribute to ExDocBurden for nurses in the inpatient setting; and (3) nurses' perspectives on solutions to mitigate ExDocBurden that support documentation practices that they deem essential to providing safe, high-quality care.Semistructured interviews were conducted with 18 acute care nurses. Transcribed interviews were analyzed using the constant [...]
Author(s): Thate, Jennifer, Lee, Rachel Y, Mugoya, Rosemary, Diamond, Courtney J, Daramola, Temiloluwa, Yen, Po-Yin, Rossetti, Sarah C
DOI: 10.1055/a-2683-5752
Venous thromboembolism (VTE) prophylaxis in hospitalized patients must balance risks of bleeding and thrombosis. Clinical changes such as bleeding or renal injury can also trigger changes or delays in thromboprophylaxis. Electronic health record alerts (EHRAs) can allow for targeted notification to providers to improve venous thromboembolism prophylaxis and improve patient outcomes at the risk of alert fatigue if not carefully designed and implemented.This study aimed to develop and refine an [...]
Author(s): Akbashev, Mikhail Y, Utz, Alyssa, Anjum, Phillip, Watkins, Stacey, Mattaliano, Michael, Patel, Palak, Vigliotti, Debbie, Schenker, Mara L, Adhyaru, Bhavin B
DOI: 10.1055/a-2672-8358
Author(s): Bakken, Suzanne
DOI: 10.1093/jamia/ocaf108