Objective: In the context of "internet + medical health" and emphasis on evaluation mechanism for medical and health talents in China, we design an evaluation index system for doctors on online medical platforms by synthesizing two patterns of existing online medical platforms, which is the first step to enhance the capabilities of doctors on online medical platforms.
Methods: Based on the doctor evaluation model integrating information systems success model (ISS-DE model) and grounded theory, the evaluation indicators were obtained through expert interviews, offline medical institutions investigation, online platforms investigation, and literature research, and were assigned weights using the analytic hierarchy process (AHP) method. A working group composed of 23 experts was set up to review and determine the competency standards of doctors on the online medical platforms.
Results: A new indicator framework covering 3 dimensions of system quality, service quality and information quality was constructed in this study. The index system included 3 first-level indicators, 8 s-level indicators and 60 third-level indicators, and each indicator was given different weightage.
Conclusion: The complete index system constructed by the Delphi method in this study is suitable for China's online medical platforms, which will help to improve the quality of platforms and the ability of doctors, thus promoting the process of internet medical integration.
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http://dx.doi.org/10.3389/fpubh.2023.1185036 | DOI Listing |
Bioinformatics
January 2025
Bioinformatics Lab, Advanced Research Institute for Informatics, Computing and Networking, De La Salle University, Manila, 1004, Philippines.
Motivation: Recent computational approaches for predicting phage-host interaction have explored the use of sequence-only protein language models to produce embeddings of phage proteins without manual feature engineering. However, these embeddings do not directly capture protein structure information and structure-informed signals related to host specificity.
Results: We present PHIStruct, a multilayer perceptron that takes in structure-aware embeddings of receptor-binding proteins, generated via the structure-aware protein language model SaProt, and then predicts the host from among the ESKAPEE genera.
JAMA Intern Med
January 2025
Harvard Medical School, Boston, Massachusetts.
Australas Psychiatry
January 2025
Alfred Mental and Addiction Health, Melbourne, VIC, Australia.
Objective: Australia faces a psychiatrist shortage, making it crucial to understand factors influencing specialty choice and workforce retention.
Method: An online cross-sectional survey was conducted among medical doctors in their prevocational and vocational stages working in Victoria, Australia. Participants were asked about various factors that influenced their choice of specialty.
J Spinal Cord Med
January 2025
Department of Rehabilitation Medicine, University of Washington, Seattle, Washington, USA.
Objective: To engage U.S. end users to (1) gather information on facilitators and barriers to awareness and adoption of the Canadian Spinal Cord Injury (SCI) Physical Activity (PA) guidelines; (2) inform potential adaptations to the presentation and messaging of the guidelines; and (3) develop recommendations for targeted dissemination strategies to promote awareness in the United States.
View Article and Find Full Text PDFAust N Z J Obstet Gynaecol
January 2025
Reproductive Epidemiology Group, Murdoch Children's Research Institute, Melbourne, Victoria, Australia.
Background: Non-invasive prenatal testing (NIPT) does not receive any Medicare rebate. This study investigated the views of Australian healthcare providers and consumers on public funding of NIPT.
Materials And Methods: Two anonymous online, cross-sectional surveys were conducted from September 2022 to January 2023.
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