Objective: The objective of this research is to assess the impact of clinical decision support (CDS) tools on the practices of Indian physicians.
Methods: Descriptive statistics and frequency distributions are used to assess the data.
Results: Through a primary survey, it was found that about 69% of the physicians frequently use clinical decision tools in their practice. The author found that the clinical decision tools affect 1-5 decisions every week (for about 54% of the sample). Nonetheless, a great many (31%) stated that they do not use the tools frequently; therefore, none of their decisions are affected by the technology on a usual basis. There is a slight improvement in diagnosis post the use of the app. Although 46% of doctors stated that they have made zero errors in decision making post the use of the application, 54% admitted making errors in 1-5 decisions per week. This shows that the tool has not been able to address all the needs of the doctors. A great many agreed that the tool helped in reducing diagnostic tests. Although a majority of doctors stated that they order fewer than five diagnostic tests post the use of the application, a great many doctors agreed that they order >10 tests after using the application. This could be due to less faith in the technology or could be an attribute of a small sample. The author intended to assess whether clinical decision tools are cost-effective. The author found that not all decision tools are cost-effective. The variation could be due to differences in comprehensiveness of information, product features, and area of practice.
Conclusion: This study exhibits that there is less faith in the technology and the application is favored by younger doctors. By and large, doctors agreed that the tool provides quicker diagnosis and is user-friendly.
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http://dx.doi.org/10.59556/japi.73.0706 | DOI Listing |
Br J Clin Pharmacol
March 2025
Faculty of Health, Department of Medicine, Witten-Herdecke University, Witten, Germany.
Aims: This study aimed to evaluate the accuracy and completeness of GPT-4, a large language model, in answering clinical pharmacological questions related to pain therapy, with a focus on its potential as a tool for delivering patient-facing medical information. The objective was to assess its reliability in delivering medical information in the context of pain management.
Methods: A cross-sectional survey-based study was conducted with healthcare professionals, including physicians and pharmacists.
Geriatr Gerontol Int
March 2025
Department of Clinical Pharmacology and Therapeutics, Tokushima University Graduate School of Biomedical Sciences, Tokushima, Japan.
Aim: Rehospitalization of patients with heart failure (HF) incurs high health care costs and increased mortality. Infection-related rehospitalizations in patients with HF occur frequently, and the risk increases with age. This study aimed to identify the factors associated with infection-related rehospitalizations in older patients with HF.
View Article and Find Full Text PDFAdv Healthc Mater
March 2025
Aix Marseille Université, INSERM, SSA, MCT, Marseille, 13385, France.
Efflux-mediated antibiotic resistance poses a significant global threat, affecting diverse bacterial species. Clinicians recognize the danger of efflux mechanisms during antibiotic treatment, yet precise diagnostic tools remain unavailable. The antibiogram currently infers abnormal efflux pump activity in clinical isolates, which is subsequently confirmed through transcriptomic or genomic analysis.
View Article and Find Full Text PDFJ Clin Pharmacol
March 2025
Office of Clinical Pharmacology, Center for Drug Evaluation and Research, US Food and Drug Administration, Silver Spring, MD, USA.
Dose selection is a critical process within pediatric drug development and dose-ranging studies are integral to establish a reasonable dose. The objective of this analysis was to examine the dose-ranging trials utilized in pediatric drug development and to determine (1) the dose-ranging strategies that were used in all available pediatric dose-ranging studies, (2) the success of achieving pediatric labeling in those submissions to the US Food and Drug Administration, and (3) ethical aspects of providing a prospect of direct benefit to pediatric patients in dose-ranging studies. Of the 275 programs that previously surveyed pediatric drug development programs from 2012 to 2020, it was determined that dose-ranging studies were used for 97 (35.
View Article and Find Full Text PDFJ Med Eng Technol
March 2025
College of Basic Medical, North China University of Science and Technology, Tangshan, China.
Cardiovascular diseases (CVDs) significantly impact athletes, impacting the heart and blood vessels. This article introduces a novel method to assess CVD in athletes through an artificial neural network (ANN). The model utilises the mutual learning-based artificial bee colony (ML-ABC) algorithm to set initial weights and proximal policy optimisation (PPO) to address imbalanced classification.
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