Automated Strategy Feedback Can Improve the Readability of Physicians' Electronic Communications to Simulated Patients.
Autor: | Roscoe RD; Arizona State University 7271 E. Sonoran Arroyo Mall Santa Catalina Hall 150 Mesa, AZ 85212 USA., Balyan R; State University of New York at Old Westbury PO Box 210, Old Westbury, NY 11568 USA., McNamara DS; Arizona State University 1151 S Forest Avenue Tempe, AZ 85281 USA., Banawan M; Asian Institute of Management 123 Paseo de Roxas Avenue Makati, Metro Manila 1229, Philippines., Schillinger D; School of Medicine, Division of General Internal Medicine University of California, San Francisco 500 Parnassus Avenue San Francisco, CA 94143 USA. |
---|---|
Jazyk: | angličtina |
Zdroj: | International journal of human-computer studies [Int J Hum Comput Stud] 2023 Aug; Vol. 176. Date of Electronic Publication: 2023 Apr 23. |
DOI: | 10.1016/j.ijhcs.2023.103059 |
Abstrakt: | Modern communication between health care professionals and patients increasingly relies upon secure messages (SMs) exchanged through an electronic patient portal. Despite the convenience of secure messaging, challenges include gaps between physician and patient expertise along with the asynchronous nature of such communication. Importantly, less readable SMs from physicians (e.g., too complicated) may result in patient confusion, non-adherence, and ultimately poorer health outcomes. The current simulation trial synthesizes work on patient-physician electronic communication, message readability assessments, and feedback to explore the potential for automated strategy feedback to improve the readability of physicians' SMs to patients. Within a simulated secure messaging portal featuring multiple simulated patient scenarios, computational algorithms assessed the complexity of SMs written by 67 participating physicians to patients. The messaging portal provided strategy feedback for how physician responses might be improved (e.g., adding details and information to reduce complexity). Analyses of changes in SM complexity revealed that automated strategy feedback indeed helped physicians compose and refine more readable messages. Although the effects for any individual SM were slight, the cumulative effects within and across patient scenarios showed trends of decreasing complexity. Physicians appeared to learn how to craft more readable SMs via interactions with the feedback system. Implications for secure messaging systems and physician training are discussed, along with considerations for further investigation of broader physician populations and effects on patient experience. Competing Interests: Declaration of interests The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. |
Databáze: | MEDLINE |
Externí odkaz: |