World Journal of Methodology, Journal Year: 2024, Volume and Issue: 14(4)
Published: July 25, 2024
Medication errors, especially in dosage calculation, pose risks healthcare. Artificial intelligence (AI) systems like ChatGPT and Google Bard may help reduce but their accuracy providing medication information remains to be evaluated.
Language: Английский
Education Sciences, Journal Year: 2024, Volume and Issue: 14(6), P. 643 - 643
Published: June 14, 2024
The increasing use of artificial intelligence (AI) in education has raised questions about the implications ChatGPT for teaching and learning. A systematic literature review was conducted to answer these questions, analyzing 112 scholarly articles identify potential benefits challenges related educational settings. selection process thorough ensure a comprehensive analysis current academic discourse on AI tools education. Our research sheds light significant impact improving student engagement accessibility critical issues that need be considered, including concerns quality bias generated responses, risk plagiarism, authenticity content. study aims summarize utilizations learning by addressing identified through targeted strategies. authors outlined some recommendations will integration into frameworks enhances outcomes while safeguarding standards.
Language: Английский
Citations
23
BMC Medical Ethics, Journal Year: 2024, Volume and Issue: 25(1)
Published: May 16, 2024
Abstract Background Integrating artificial intelligence (AI) into healthcare has raised significant ethical concerns. In pharmacy practice, AI offers promising advances but also poses challenges. Methods A cross-sectional study was conducted in countries from the Middle East and North Africa (MENA) region on 501 professionals. 12-item online questionnaire assessed concerns related to adoption of practice. Demographic factors associated with were analyzed via SPSS v.27 software using appropriate statistical tests. Results Participants expressed about patient data privacy (58.9%), cybersecurity threats potential job displacement (62.9%), lack legal regulation (67.0%). Tech-savviness basic understanding correlated higher concern scores ( p < 0.001). Ethical implications include need for informed consent, beneficence, justice, transparency use AI. Conclusion The findings emphasize importance guidelines, education, autonomy adopting Collaboration, privacy, equitable access are crucial responsible
Language: Английский
Citations
21
Journal of Multidisciplinary Healthcare, Journal Year: 2023, Volume and Issue: Volume 16, P. 4099 - 4110
Published: Dec. 1, 2023
Background: The emergence of Chat-Generative Pre-trained Transformer (ChatGPT) by OpenAI has revolutionized AI technology, demonstrating significant potential in healthcare and pharmaceutical education, yet its real-world applicability clinical training warrants further investigation. Methods: A cross-sectional study was conducted between April May 2023 to assess PharmD students' perceptions, concerns, experiences regarding the integration ChatGPT into pharmacy education. utilized a convenient sampling method through online platforms involved questionnaire with sections on demographics, perceived benefits, experience ChatGPT. Statistical analysis performed using SPSS, including descriptive inferential analyses. Results: findings involving 211 students revealed that majority participants were male (77.3%), had prior artificial intelligence (68.2%). Over two-thirds aware Most (n= 139, 65.9%) benefits for various tasks, concerns over-reliance, accuracy, ethical considerations. Adoption varied, some not it at all, while others tasks like evaluating drug-drug interactions developing care plans. Previous users tended have higher lower but differences statistically significant. Conclusion: Utilizing offers opportunities, lack trust decisions highlights need collaborative human-ChatGPT decision-making. It should complement professionals' expertise be used strategically compensate human limitations. Further research is essential optimize ChatGPT's effective integration. Keywords: ChatGPT, perception, training, Pharm-D
Language: Английский
Citations
23
International Nursing Review, Journal Year: 2024, Volume and Issue: unknown
Published: July 9, 2024
Abstract Aim This study explores the influencing factors of attitudes and behaviors toward use ChatGPT based on Technology Acceptance Model among registered nurses in Taiwan. Background The complexity medical services nursing shortages increases workloads. swiftly answers questions, provides clinical guidelines, assists with patient information management, thereby improving efficiency. Introduction To facilitate development effective training programs, it is essential to examine nurses’ utilization across diverse workplace settings. Methods An anonymous online survey was used collect data from over 1000 recruited through social media platforms between November 2023 January 2024. Descriptive statistics multiple linear regression analyses were conducted for analysis. Results Among respondents, some unfamiliar ChatGPT, while others had before, higher usage males, higher‐educated individuals, experienced nurses, supervisors. Gender work settings influenced perceived risks, those familiar recognized its impact. Perceived risk usefulness significantly adoption. Discussion Nurse vary gender, education, experience, role. Positive perceptions emphasize usefulness, concerns affect insignificant role ease highlights ChatGPT's user‐friendly nature. Conclusion Over half surveyed or showed positive use. Establishing rigorous guidelines enhance their interaction crucial future training. Implications health policy managers should understand integrate into in‐service education tailored support training, including appropriate prompt formulation advanced decision‐making, prevent misuse.
Language: Английский
Citations
7
BMC Medical Education, Journal Year: 2025, Volume and Issue: 25(1)
Published: Feb. 8, 2025
Language: Английский
Citations
1
PLOS Digital Health, Journal Year: 2025, Volume and Issue: 4(3), P. e0000756 - e0000756
Published: March 24, 2025
Warfarin is a common anticoagulant drug for thrombo-prophylaxis in stroke and venous thromboembolism, which has many advantages but also some disadvantages including narrow therapeutic window, vast interactions (and wide variability with foods/herbs), as well unpredictability of pharmacodynamics and/or kinetics. Complicating factors can present challenges the outpatient clinicians trying to strike that balance due potential consequences over or under dose anticoagulation associated increased risk bleeding thromboembolic events, respectively. Because warfarin drastically affect outcomes, patient healthcare provider communication regarding such drug-drug diet-warfarin crucial compliance medication achieving successful treatment. Furthermore, language barriers cause low satisfaction scores poor quality/safety health care. In fact, advancement improvements technology promise artificial intelligence (AI) one ideal options optimize delivery The goal this study develop Warfa-Check, bilingual AI-based web app matches both speakers Arabic English. application helps users recognize warfarin-associated simple user interface accepts text, picture voice commands. developed Python Flask OpenAI’s GPT-4 API natural processing tools trained correctly interpret outbound interactions. Multiple validation methods beta testing have been done ensure data-driven, color coded alerts interaction severity provide clear feedback end-users. This easy-to-use patients identify English Arabic. Warfa-Check represents valuable avenue improving safety our residents, simplifying management high-risk individuals streamlining workflow. Future development plans are into other anticoagulants, integrate Electronic Health Records (EHRs).
Language: Английский
Citations
1
Cureus, Journal Year: 2023, Volume and Issue: unknown
Published: Dec. 16, 2023
Background: Artificial intelligence (AI)-based tools can reshape healthcare practice. This includes ChatGPT which is considered among the most popular AI-based conversational models. Nevertheless, performance of different versions needs further evaluation in settings to assess its reliability and credibility various healthcare-related tasks. Therefore, current study aimed freely available ChatGPT-3.5 paid version ChatGPT-4 10 diagnostic clinical microbiology case scenarios. Methods: The followed METRICS (Model, Evaluation, Timing/Transparency, Range/Randomization, Individual factors, Count, Specificity prompts/language) checklist for standardization design reporting studies healthcare. models tested on December 3, 2023 included ChatGPT-generated content was based CLEAR tool (Completeness, Lack false information, Evidence support, Appropriateness, Relevance) assessed a 5-point Likert scale with range scores 1-5. output evaluated by two raters independently inter-rater agreement Cohen’s κ statistic. Ten laboratory scenarios were created English language three microbiologists at diverse levels expertise following an internal discussion common cases observed Jordan. topics bacteriology, mycology, parasitology, virology cases. Specific prompts tailored new session selected prompting each scenario. Results: values five items 0.351-0.737 0.294-0.701 indicating fair good suitability analysis. Based average scores, outperformed (mean: 2.64±1.06 vs. 3.21±1.05, P=.012, t-test). model varied items, lowest “Relevance” item (2.15±0.71 2.65±1.16 ChatGPT-4). A statistically significant difference upon assessing per only seen best “Completeness”, “Lack information”, “Evidence support” (P=0.043). level both antimicrobial susceptibility testing (AST) queries while highest bacterial mycologic identification. Conclusions: Assessment across showed that ChatGPT-3.5. demonstrated noticeable variability depending specific topic evaluated. primary shortcoming tendency generate irrelevant lacking needed focus. Although overall these might be described as “above average” best, there remains potential improvement, considering identified limitations unsatisfactory results few
Language: Английский
Citations
17
International Journal of Information and Education Technology, Journal Year: 2024, Volume and Issue: 14(5), P. 721 - 732
Published: Jan. 1, 2024
Technology advancements like Chat Generative Pre-Trained Transformer (ChatGPT) have given the educational sector new advantages as well difficulties and demands. Academics often differ on benefits effectiveness of implementing ChatGPT in classroom. It is important for students who use classroom learning to express their views ChatGPT. Therefore, this study aims explore students’ perspectives higher education towards utilizing support digital era. A mixed-methods—quantitative qualitative research design being used study. Forty-five University Mataram Indonesia studying elementary school teacher participated research. Interviews distribution questionnaires were collect data. The conclusion states that find it easy considered increase knowledge, provide fast accurate answers questions, able efficiency time. In addition, stated can additional motivation process. However, they not been become more motivated learn by using They worry about unjust evaluations possibility plagiarism, which weaken one’s capacity critical thought. Based study’s findings, experts recommend investigation into ChatGPT’s potential improve student
Language: Английский
Citations
6
Journal of Pharmaceutical Policy and Practice, Journal Year: 2024, Volume and Issue: 17(1)
Published: Jan. 12, 2024
Generative AI can be a powerful research tool, but researchers must employ it ethically and transparently. This commentary addresses how the editors of pharmacy practice journals identify manuscripts generated by generative AI-assisted technologies. Editors reviewers stay well-informed about developments in technologies to effectively recognise AI-written papers. should safeguard reliability journal publishing sustain industry standards for implementing crucial strategies outlined this editorial. Although obstacles, including ignorance, time constraints, protean strategies, might hinder detection efforts, several facilitators help overcome those obstacles. Pharmacy would benefit from educational programmes, collaborations with experts, sophisticated plagiarism-detection techniques geared toward accurately identifying AI-generated text. Academics practitioners further uphold integrity published through transparent reporting ethical standards. staffs academic rigour guarantee validity scholarly work recognising addressing relevant barriers utilising proper enablers. Navigating changing world content preserving excellence pharmaceutical requires proactive strategy constant learning community participation.
Language: Английский
Citations
5
Journal of Pharmaceutical Policy and Practice, Journal Year: 2024, Volume and Issue: 17(1)
Published: Nov. 25, 2024
Language: Английский
Citations
3