e.g. mhealth
Search Results (1 to 10 of 18 Results)
Download search results: CSV END BibTex RIS
Skip search results from other journals and go to results- 4 JMIR Research Protocols
- 3 JMIR Formative Research
- 3 JMIR Human Factors
- 3 JMIR Medical Education
- 2 Journal of Medical Internet Research
- 1 Interactive Journal of Medical Research
- 1 JMIR Dermatology
- 1 JMIR Medical Informatics
- 0 Medicine 2.0
- 0 iProceedings
- 0 JMIR Public Health and Surveillance
- 0 JMIR mHealth and uHealth
- 0 JMIR Serious Games
- 0 JMIR Mental Health
- 0 JMIR Rehabilitation and Assistive Technologies
- 0 JMIR Preprints
- 0 JMIR Bioinformatics and Biotechnology
- 0 JMIR Cancer
- 0 JMIR Challenges
- 0 JMIR Diabetes
- 0 JMIR Biomedical Engineering
- 0 JMIR Data
- 0 JMIR Cardio
- 0 Journal of Participatory Medicine
- 0 JMIR Pediatrics and Parenting
- 0 JMIR Aging
- 0 JMIR Perioperative Medicine
- 0 JMIR Nursing
- 0 JMIRx Med
- 0 JMIRx Bio
- 0 JMIR Infodemiology
- 0 Transfer Hub (manuscript eXchange)
- 0 JMIR AI
- 0 JMIR Neurotechnology
- 0 Asian/Pacific Island Nursing Journal
- 0 Online Journal of Public Health Informatics
- 0 JMIR XR and Spatial Computing (JMXR)
At the start of each observation, the researcher notes generic information about the environment (date, time, site, and location) and the pharmacist being observed (area of expertise and status). At the end, he or she enters the time and comments, debriefing the participant. In 1 hour of observation, the pharmacist will analyze and validate several electronic prescriptions corresponding to different patients. For each patient, the researcher uses an observation grid to structure data collection.
JMIR Hum Factors 2025;12:e65959
Download Citation: END BibTex RIS
The purpose of this paper is to determine the effects of black-box and uncertainty-aware AI advice on pharmacist decision-making and reaction time.
We previously developed 2 AI conditions to assist pharmacists with making decisions when dispensing medications. The “black-box” condition does not provide the user with insight into the AI’s certainty or predicted probability of a correct decision. The “uncertainty-aware” condition provides the user with an estimate of certainty from the model predictions.
JMIR Med Inform 2025;13:e64902
Download Citation: END BibTex RIS
In the field of pharmacy, GPT-3.5 has exhibited commendable performance in clinical toxicology and pharmacology [17,18], although it has not passed the National Pharmacist Licensing Examination (NPLE) in Taiwan [19]. However, GPT-4 has outperformed GPT-3.5 in drug information [20] and China’s Pharmacist Licensing Examination [21].
JMIR Med Educ 2025;11:e56850
Download Citation: END BibTex RIS
Go back to the top of the page Skip and go to footer section
The senior e-prescribing pharmacist in the hospital developed the technical aspects of e PAMS+ in collaboration with the research team, drawing upon wider stakeholder engagement [27]. Their gatekeeper role helped us to establish contact with clinical leads and early users of the intervention. We selected 5 acute wards with high antibiotic use for the feasibility trial to be first adopters of e PAMS+. These included Infectious Diseases, Elderly Care, 2 Oncology wards, and Respiratory Diseases.
JMIR Form Res 2024;8:e54458
Download Citation: END BibTex RIS
At the end of each module, the community pharmacist can participate in a quiz composed of 4 or 5 questions. Quizzes are mandatory to obtain the certificate of achievement (with at least 80% of correct answers), but this certificate is not mandatory to dispense emicizumab.
We designed a cross-sectional study based on the Kirkpatrick model [15] based on 2 closed surveys and on an analysis of secondary data. The evaluation of the training program comprised the investigation of 3 information levels.
JMIR Form Res 2024;8:e54656
Download Citation: END BibTex RIS
To evaluate whether GPT-4 can be used as an auxiliary tool for pharmacist work in the future, verification using more detailed work data sets (eg, patient counseling, records of inquiries from physicians, drug interaction analysis, and examples of questionable prescriptions) is required.
In conclusion, GPT-4 showed that some passing criteria were not met in terms of the accuracy rate for all JNEP questions, but the accuracy rates for the questions that GPT-4 could answer met all of the passing criteria.
JMIR Med Educ 2023;9:e48452
Download Citation: END BibTex RIS
[Pharmacist, Site B, ID004]
Authority withclinician self-identity and job satisfaction: ”It's just a massive report, where even though we can get through many alerts each day, it feels very insignificant sometimes because we're talking about thousands of alerts…it’s just a lot for one person to focus on.”
JMIR Hum Factors 2023;10:e49025
Download Citation: END BibTex RIS
If discrepancies emerged between their evaluations, a third pharmacist was brought in for consultation. All disagreements were resolved through consensus to provide the final labeling. All the questions and answers generated, as well as the supplementary tables, were in Chinese. Ultimately, we used the built-in translation feature of Chat GPT-4 to directly translate the Chinese content into English.
JMIR Med Educ 2023;9:e48433
Download Citation: END BibTex RIS
Independent pharmacists from the Department of Clinical Pharmacy at Leipzig University compose the newsletters with editorial assistance from AVOXA—Media Group German Pharmacist Gmb H.
An adjusted quality score was used to assess the information sources that were used for the search task. Therefore, a rating scheme for the evaluation of the search task was created (Table S2 in Multimedia Appendix 2).
J Med Internet Res 2023;25:e45582
Download Citation: END BibTex RIS