Medication analysis and pharmaceutical care for a child with Kawasaki disease: A case report and review of the literature

Lai, Yingqiang; Feng, Meirou; Jianrong, Deng; Tan, Benren; Ban, Junfeng; Zheng, Jinkun

doi:10.1097/md.0000000000032488

Cited by 4 publications

(2 citation statements)

References 17 publications

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“…8 Pharmacists play pivotal role in huge spectrum of cardiovascular services in pediatric patients encompassing arrhythmia management, heart failure care, management of hypertension, anti-coagulation clinics, comprehensive handling of Kawasaki disease in collaboration with physician and expansion of pharmacist role in extracorporeal cardiopulmonary resuscitation in optimizing medication strategy during pediatric cardiac arrest. [9][10][11][12] In realm of pediatric cardiac surgeries pharmacist hold a distinctive position in preoperative to post-operative care by the development of meticulously designed, efficient, and safe utilization protocols. 10 And the implementation of pharmacist-led discharge medication counseling resulted in noteworthy improvement in medication adherence, minimizing medication discrepancies, and lower the number the hospital readmission linked to cardiovascular linked to cardiac problem in pediatric population.…”

Section: Globalmentioning

confidence: 99%

Leveraging Clinical Pharmacy Expertise for Pediatric Cardiology in Low and Middle-Income Country

Batool,

Shamim,

Mohsin

2024

Pak Heart J

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Pharmacists are universally regarded as an integral component in the therapeutic prescription, particularly within the realm in pediatric population. As the drastic increase in prevalence of cardiovascular diseases in pediatrics in Pakistan harness numerous opportunities for pharmacists to involve in clinical activities such as, to evaluate treatment regimens, therapeutic monitoring, adverse event monitoring, counseling and intervene as needed appropriately in collaboration with physician to facilitate high care to pediatric patients. However, a comprehensive literature review underscores the dearth of such patient-centered practice in Pakistan in public-health sector specially. In this commentary, we accentuate the indispensable involvement of pharmacist in pediatric cardiac unit of public-sector in low and middle income country to optimized pediatric patients care

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Section: Globalmentioning

confidence: 99%

Leveraging Clinical Pharmacy Expertise for Pediatric Cardiology in Low and Middle-Income Country

Batool,

Shamim,

Mohsin

2024

Pak Heart J

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“…[11] Prior research in medical question answering has often focused on more specific tasks to evaluate the model performance of ChatGPT. [12] For example, Jin et al [13] achieved 68.1% accuracy with their model for answering yes-or-no questions that can be found in PubMed-available abstracts; ChatGPT was performed with accuracy on 4 datasets on the United States Medical Licensing Examination: 64.4% (56/87) on NBME-Free-Step1, and 57.8% (59/102) on NBME-Free-Step2 [12] ; a ChatGPT score of 1.83 (out of 2), a select all that apply (SATA) average percentage correct rate of 88.9% for breast cancer screening prompts, a SATA average percentage correct rate of 58.3% for breast pain prompts, and an average Open-ended (OE) score of 1.125 (out of 2) was achieved by ChatGPT [14] ; answers to prompts about Kawasaki disease [15][16][17][18][19] in ChatGPT can be graded by A− [20] ; Ha and Yaneva [21] reported only a 29% accuracy on 454 USMLE Step 1 and Step 2 questions on automatic question answering for medical multiple choice questions (MCQs).…”

Section: Assessing Chatgpt's Capacity For Clinical Decision Supportmentioning

confidence: 99%

Assessing ChatGPT’s capacity for clinical decision support in pediatrics: A comparative study with pediatricians using KIDMAP of Rasch analysis

Kao

Chien

Wang³

et al. 2023

Medicine

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Background: The application of large language models in clinical decision support (CDS) is an area that warrants further investigation. ChatGPT, a prominent large language models developed by OpenAI, has shown promising performance across various domains. However, there is limited research evaluating its use specifically in pediatric clinical decision-making. This study aimed to assess ChatGPT’s potential as a CDS tool in pediatrics by evCDSaluating its performance on 8 common clinical symptom prompts. Study objectives were to answer the 2 research questions: the ChatGPT’s overall grade in a range from A (high) to E (low) compared to a normal sample and the difference in assessment of ChatGPT between 2 pediatricians. Methods: We compared ChatGPT’s responses to 8 items related to clinical symptoms commonly encountered by pediatricians. Two pediatricians independently assessed the answers provided by ChatGPT in an open-ended format. The scoring system ranged from 0 to 100, which was then transformed into 5 ordinal categories. We simulated 300 virtual students with a normal distribution to provide scores on items based on Rasch rating scale model and their difficulties in a range between −2 to 2.5 logits. Two visual presentations (Wright map and KIDMAP) were generated to answer the 2 research questions outlined in the objectives of the study. Results: The 2 pediatricians’ assessments indicated that ChatGPT’s overall performance corresponded to a grade of C in a range from A to E, with average scores of −0.89 logits and 0.90 logits (=log odds), respectively. The assessments revealed a significant difference in performance between the 2 pediatricians (P < .05), with scores of −0.89 (SE = 0.37) and 0.90 (SE = 0.41) in log odds units (logits in Rasch analysis). Conclusion: This study demonstrates the feasibility of utilizing ChatGPT as a CDS tool for patients presenting with common pediatric symptoms. The findings suggest that ChatGPT has the potential to enhance clinical workflow and aid in responsible clinical decision-making. Further exploration and refinement of ChatGPT’s capabilities in pediatric care can potentially contribute to improved healthcare outcomes and patient management.

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Assessing ChatGPT’s Capability for Multiple Choice Questions Using RaschOnline: Observational Study

Chow¹,

Cheng²,

Chien³

et al. 2024

JMIR Form Res

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Background ChatGPT (OpenAI), a state-of-the-art large language model, has exhibited remarkable performance in various specialized applications. Despite the growing popularity and efficacy of artificial intelligence, there is a scarcity of studies that assess ChatGPT’s competence in addressing multiple-choice questions (MCQs) using KIDMAP of Rasch analysis—a website tool used to evaluate ChatGPT’s performance in MCQ answering. Objective This study aims to (1) showcase the utility of the website (Rasch analysis, specifically RaschOnline), and (2) determine the grade achieved by ChatGPT when compared to a normal sample. Methods The capability of ChatGPT was evaluated using 10 items from the English tests conducted for Taiwan college entrance examinations in 2023. Under a Rasch model, 300 simulated students with normal distributions were simulated to compete with ChatGPT’s responses. RaschOnline was used to generate 5 visual presentations, including item difficulties, differential item functioning, item characteristic curve, Wright map, and KIDMAP, to address the research objectives. Results The findings revealed the following: (1) the difficulty of the 10 items increased in a monotonous pattern from easier to harder, represented by logits (–2.43, –1.78, –1.48, –0.64, –0.1, 0.33, 0.59, 1.34, 1.7, and 2.47); (2) evidence of differential item functioning was observed between gender groups for item 5 (P=.04); (3) item 5 displayed a good fit to the Rasch model (P=.61); (4) all items demonstrated a satisfactory fit to the Rasch model, indicated by Infit mean square errors below the threshold of 1.5; (5) no significant difference was found in the measures obtained between gender groups (P=.83); (6) a significant difference was observed among ability grades (P<.001); and (7) ChatGPT’s capability was graded as A, surpassing grades B to E. Conclusions By using RaschOnline, this study provides evidence that ChatGPT possesses the ability to achieve a grade A when compared to a normal sample. It exhibits excellent proficiency in answering MCQs from the English tests conducted in 2023 for the Taiwan college entrance examinations.

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Medication analysis and pharmaceutical care for a child with Kawasaki disease: A case report and review of the literature

Cited by 4 publications

References 17 publications

Leveraging Clinical Pharmacy Expertise for Pediatric Cardiology in Low and Middle-Income Country

Leveraging Clinical Pharmacy Expertise for Pediatric Cardiology in Low and Middle-Income Country

Assessing ChatGPT’s capacity for clinical decision support in pediatrics: A comparative study with pediatricians using KIDMAP of Rasch analysis

Assessing ChatGPT’s Capability for Multiple Choice Questions Using RaschOnline: Observational Study

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