References

The potential and pitfalls of using a large language model such as ChatGPT, GPT-4, or LLaMA as a clinical assistant

10.1093/jamia/ocae184 · 2024 · External reference

Leveraging large language models to foster equity in healthcare

10.1093/jamia/ocae055 · 2024 · External reference

Gpt-4 technical report

2023 · External reference

Large language models: a survey of their development, capabilities, and applications

10.1007/s10115-024-02310-4 · 2025 · External reference

ChatGPT is a remarkable tool—For experts

10.1162/dint_a_00235 · 2024 · External reference

What can you do with a large language model?

10.1093/jamia/ocae106 · 2024 · External reference

Generative artificial intelligence in healthcare: a scoping review on benefits, challenges and applications

10.1016/j.ijmedinf.2024.105474 · 2024 · External reference

General-purpose large language models outperform specialized clinical AI tools on medical benchmarks

10.1038/s41591-026-04431-5 · 2026 · External reference

PharmacyGPT: exploration of artificial intelligence for medication management in the intensive care unit

10.1186/s12911-025-03230-1 · 2025 · External reference

Comparison between ChatGPT and Google search as sources of postoperative patient instructions

10.1001/jamaoto.2023.0704 · 2023 · External reference

An example of leveraging AI for documentation: ChatGPT-generated nursing care plan for an older adult with lung cancer

10.1093/jamia/ocae116 · 2024 · External reference

Application of ChatGPT in routine diagnostic pathology: promises, pitfalls, and potential future directions

10.1097/pap.0000000000000406 · 2024 · External reference

Testing and evaluation of health care applications of large Language models: a systematic review

10.1001/jama.2024.21700 · 2025 · External reference

A rapid review on current and potential uses of large language models in nursing

10.1016/j.ijnurstu.2024.104753 · 2024 · External reference

Current applications and challenges in large language models for patient care: a systematic review

10.1038/s43856-024-00717-2 · 2025 · External reference

Unresolved reference

2024 · External reference

New recommendations for advancing pharmacy practice in health systems

10.1093/ajhp/zxz271 · 2020 · External reference

ChatGPT: threat or boon to the future of pharmacy practice?

10.1016/j.sapharm.2023.03.012 · 2023 · External reference

ChatGPT in pharmacy practice: disruptive or destructive innovation? A scoping review

10.3390/scipharm92040058 · 2024 · External reference

Rapid reviews methods series: assessing the appropriateness of conducting a rapid review

10.1136/bmjebm-2023-112722 · 2024 · External reference

Updated recommendations for the Cochrane rapid review methods guidance for rapid reviews of effectiveness

10.1136/bmj-2023-076335 · 2024 · External reference

The PRISMA 2020 statement: an updated guideline for reporting systematic reviews

10.1136/bmj.n71 · 2021 · External reference

PRESS peer review of electronic search strategies: 2015 guideline statement

10.1016/j.jclinepi.2016.01.021 · 2016 · External reference

Unresolved reference

2011 · External reference

Unresolved reference

2008 · External reference

Evaluating the accuracy of ChatGPT in delivering patient instructions for medications: an exploratory case study

10.3389/frai.2025.1550591 · 2025 · External reference

Generating subjective, objective, assessment, and plan (SOAP)-structured medication logs using DeepSeek-R1 through prompt engineering and multi-source clinical information

2026 · External reference

Evaluating the sensitivity, specificity, and accuracy of ChatGPT-3.5, ChatGPT-4, bing AI, and bard against conventional drug-drug interactions clinical tools

10.2147/dhps.s425858 · 2023 · External reference

Assessing the accuracy and consistency of ChatGPT in clinical pharmacy management: a preliminary analysis with clinical pharmacy experts worldwide

10.1016/j.sapharm.2023.08.012 · 2023 · External reference

Examining real-world medication consultations and drug-herb interactions: ChatGPT performance evaluation

10.2196/48433 · 2023 · External reference

The capability of ChatGPT in predicting and explaining common drug-drug interactions

10.7759/cureus.36272 · 2023 · External reference

Will artificial intelligence chatbots replace clinical pharmacologists? An exploratory study in clinical practice

10.1007/s00228-023-03547-8 · 2023 · External reference

Performance and risks of ChatGPT used in drug information: an exploratory real-world analysis

10.1136/ejhpharm-2023-003750 · 2024 · External reference

Comparing the accuracy and referencing of ChatGPT's responses to herbal medicine queries: a zero-shot versus roleplay prompting approach

2023 · External reference

Safety and quality of AI chatbots for drug-related inquiries: a real-world comparison with licensed pharmacists

2024 · External reference

Can artificial intelligence (AI) educate your patient? A study to assess overall readability and pharmacists' perception of AI-generated patient education materials

10.1002/jac5.2006 · 2024 · External reference

Utilizing ChatGPT in telepharmacy

2024 · External reference

Exploring community pharmacists' attitudes in Thailand towards ChatGPT usage: a pilot qualitative investigation

2024 · External reference

Accuracy of a chatbot in answering questions that patients should ask before taking a new medication

10.1016/j.japh.2024.102110 · 2024 · External reference

Unlocking the future of patient Education: ChatGPT vs. LexiComp as sources of patient education materials

2024 · External reference

Assessing the applicability and appropriateness of ChatGPT in answering clinical pharmacy questions

10.1016/j.pharma.2023.11.001 · 2024 · External reference

Artificial intelligence-generated draft replies to patient inbox messages

10.1001/jamanetworkopen.2024.3201 · 2024 · External reference

Evaluating the performance of ChatGPT in clinical pharmacy: a comparative study of ChatGPT and clinical pharmacists

10.1111/bcp.15896 · 2024 · External reference

Comprehensive analysis of responses from ChatGPT to consumer inquiries regarding over-the-counter medications

2024 · External reference

Evaluating the capability of ChatGPT in predicting drug-drug interactions: Real-world evidence using hospitalized patient data

10.1111/bcp.16275 · 2024 · External reference

Let's have a chat: how well does an artificial intelligence chatbot answer clinical infectious diseases pharmacotherapy questions?

10.1093/ofid/ofae641 · 2024 · External reference

Evaluation of ChatGPT as a tool for answering clinical questions in pharmacy practice

10.1177/08971900241256731 · 2024 · External reference

Proactive polypharmacy management using large Language models: opportunities to enhance geriatric care

10.1007/s10916-024-02058-y · 2024 · External reference

Effectiveness of ChatGPT in clinical pharmacy and the role of artificial intelligence in medication therapy management

10.1016/j.japh.2023.11.023 · 2024 · External reference

The promise and challenges of ChatGPT in community pharmacy: a comparative analysis of response accuracy

10.3897/pharmacia.71.e116927 · 2024 · External reference

Evaluating ChatGPT's efficacy in assessing the safety of non-prescription medications and supplements in patients with kidney disease

2024 · External reference

Identification of kidney-related medications using AI from self-captured pill images

10.1080/0886022x.2024.2402075 · 2024 · External reference

Performance of the ChatGPT large language model for decision support in community pharmacy

10.1111/bcp.16215 · 2024 · External reference

Unlocking the potential of advanced large language models in medication review and reconciliation: a proof-of-concept investigation

2024 · External reference

The quality and safety of using generative AI to produce patient-centred discharge instructions

10.1038/s41746-024-01336-w · 2024 · External reference

Performance of ChatGPT on factual knowledge questions regarding clinical pharmacy

10.1002/jcph.2443 · 2024 · External reference

Assessing accuracy of ChatGPT in response to questions from day to day pharmaceutical care in hospitals

2024 · External reference

Poor performance of ChatGPT in clinical rule-guided dose interventions in hospitalized patients with renal dysfunction

10.1007/s00228-024-03687-5 · 2024 · External reference

Benchmarking ChatGPT-3.5 and OpenAI o3 against clinical pharmacists: preliminary insights into clinical accuracy, sensitivity, and specificity in pharmacy MCQs

10.3390/healthcare13141751 · 2025 · External reference

Artificial intelligence-powered chatbots in search engines: a cross-sectional study on the quality and risks of drug information for patients

10.1136/bmjqs-2024-017476 · 2025 · External reference

Capabilities of large language models in detecting and managing drug interactions during medication reviews: potential implications as A digital assistant for pragmatic pharmacy practice in Thailand

10.1002/jac5.70115 · 2025 · External reference

Accuracy and teachability of artificial intelligence chatbots in solving pharmaceutical calculations: a descriptive study

10.1007/s11096-025-01947-7 · 2025 · External reference

Evaluation of large language models' ability to identify clinically relevant drug-drug interactions and generate high-quality clinical pharmacotherapy recommendations

2025 · External reference

Large language models management of complex medication regimens: a case-based evaluation

10.3389/fphar.2025.1514445 · 2025 · External reference

Accuracy and safety of ChatGPT-3.5 in assessing over-the-counter medication use during pregnancy: a descriptive comparative study

10.3390/pharmacy13040104 · 2025 · External reference

The role of large language models in self-care: a study and benchmark on medicines and supplement guidance accuracy

10.1007/s11096-024-01839-2 · 2025 · External reference

Comparative evaluation of artificial intelligence platforms and drug interaction screening databases using real-world patient data

2025 · External reference

Risk stratification of potential drug interactions involving common over-the-counter medications and herbal supplements by a large language model

10.1016/j.japh.2024.102304 · 2025 · External reference

Medication counseling for OTC drugs using customized ChatGPT-4: comparison with ChatGPT-3.5 and ChatGPT-4o

2025 · External reference

Comparative analysis of generative artificial intelligence systems in solving clinical pharmacy problems: mixed methods study

10.2196/76128 · 2025 · External reference

Large language model as clinical decision support system augments medication safety in 16 clinical specialties

2025 · External reference

Evaluation of the accuracy and reliability of responses generated by artificial intelligence related to clinical pharmacology

10.3390/jcm14217563 · 2025 · External reference

Effectiveness of ChatGPT, Google Gemini, and Microsoft copilot in answering Thai drug information queries: cross-sectional study

10.2196/79751 · 2025 · External reference

Can large language models detect drug–drug interactions leading to adverse drug reactions?

10.1177/20420986251339358 · 2025 · External reference

Identifying deprescribing opportunities with large language models in older adults: retrospective cohort study

10.2196/69504 · 2025 · External reference

Investigating the capabilities of advanced large language models in generating patient instructions and patient educational material

10.1136/ejhpharm-2024-004245 · 2025 · External reference

Assessing GPT‐4’s accuracy in answering clinical pharmacological questions on pain therapy

10.1002/bcp.70036 · 2025 · External reference

A comparison of drug information question responses by a drug information center and by ChatGPT

10.1093/ajhp/zxae316 · 2025 · External reference

Analysis of responses from artificial intelligence programs to medication-related questions derived from critical care guidelines

10.1093/ajhp/zxaf075 · 2025 · External reference

Evaluating a generative artificial intelligence accuracy in providing medication instructions from smartphone images

10.1016/j.japh.2024.102284 · 2025 · External reference

Comparing the performance of a large language model and RxNorm mapping for detecting medication dispensing errors from real-world data

2025 · External reference

Comparison of drug information questions' responses between drug information pharmacists and artificial intelligence technologies: a real‐world analysis in a tertiary care hospital

2026 · External reference

ChatGPT-5 for drug–drug interaction detection in the intensive care unit: a real-world cohort study on large language model advances and implications for clinical pharmacists

10.1016/j.japh.2026.103019 · 2026 · External reference

Comparative accuracy, stability, and correctability of large language models in otolaryngology and pharmacovigilance

10.1002/ohn.70070 · 2026 · External reference

Real-world evaluation of large language models in detecting drug-related problems: a clinical pharmacist–AI concordance study in hematology care

10.1177/10781552261418957 · 2026 · External reference

Artificial intelligence for drug information: evaluating its use in real-world pharmacy practice

10.1093/ajhp/zxaf350 · 2026 · External reference

Improving medication error classification using a reasoning large language model

10.1093/jamiaopen/ooag004 · 2026 · External reference

Comparative performance of large language models and Drugs.com versus Lexicomp for antiseizure medication drug–drug interactions: a cross-sectional study with iterative prompting analysis

2026 · External reference

Assessing ChatGPT's capability in understanding and reporting antiretroviral therapy drug–drug interactions (ACCURATE-DDI)

10.1097/qad.0000000000004522 · 2026 · External reference

Gene therapies administration utilizing ChatGPT-4 as a health biotechnology tool: a mix methods study comparing precision and accuracy with reference protocols

2026 · External reference

An evaluation of six artificial intelligence tools for formulary management

2026 · External reference

Assessing the accuracy of 4 generative AI tools to guide dosing of long-acting injectable antipsychotics

10.1093/ajhp/zxag089 · 2026 · External reference

Conducting medication reviews: a comparative study between ChatGPT‐4 and healthcare professionals

10.1111/jgs.70415 · 2026 · External reference

Assessment of artificial intelligence (AI)‐powered self‐care recommendations for management of minor ailments: a comparative analysis

10.1002/phar.70089 · 2026 · External reference

Performance validation of large language models for drug-drug interaction consultations: potential pharmacist assistant in outpatient pharmaceutical services

10.1016/j.japh.2026.103077 · 2026 · External reference

Benchmark evaluation of deepseek AI models in antibacterial clinical decision-making for infectious diseases

10.1186/s12911-026-03364-w · 2026 · External reference

Unresolved reference

2026 · External reference

A call to address AI “Hallucinations” and how healthcare professionals can mitigate their risks

2023 · External reference

Artificial hallucinations in ChatGPT: implications in scientific writing

2023 · External reference

The economics of large language models: token allocation, fine-tuning, and optimal pricing

2025 · External reference

Reporting guideline for chatbot health advice studies: the Chatbot Assessment reporting tool (CHART) statement

2025 · External reference

Between the booms: AI in Winter

10.1145/3688379 · 2024 · External reference

Unresolved reference

2024 · External reference

Holistic evaluation of language models

10.1111/nyas.15007 · 2023 · External reference

A framework for human evaluation of large language models in healthcare derived from literature review

10.1038/s41746-024-01258-7 · 2024 · External reference

The TRIPOD-LLM reporting guideline for studies using large language models

10.1038/s41591-024-03425-5 · 2025 · External reference

How ChatGPT changed the media's narratives on AI: a semi-automated narrative analysis through frame semantics

2025 · External reference

Chatgpt: a meta-analysis after 2.5 months

2024 · External reference

Retrieval augmented generation for large language models in healthcare: a systematic review

10.1371/journal.pdig.0000877 · 2025 · External reference

Prescribing caution: a critique of OpenEvidence to answer medication‐related questions

2026 · External reference

Medical students' use of large language models: a national survey

10.1016/j.ijmedinf.2026.106589 · 2026 · External reference

Densing law of LLMs

10.1038/s42256-025-01137-0 · 2025 · External reference

ChatGPT in pharmacy practice: a cross-sectional exploration of Jordanian pharmacists' perception, practice, and concerns

10.1186/s40545-023-00624-2 · 2023 · External reference

Unresolved reference

2023 · External reference

Prompt engineering on leveraging large language models in generating response to InBasket messages

10.1093/jamia/ocae172 · 2024 · External reference

Evaluating the clinical benefits of LLMs

10.1038/s41591-024-03181-6 · 2024 · External reference

Navigating the European Union Artificial Intelligence Act for healthcare

10.1038/s41746-024-01213-6 · 2024 · External reference

Ensuring useful adoption of generative artificial intelligence in healthcare

10.1093/jamia/ocae043 · 2024 · External reference

Unresolved reference

2025 · External reference

Efficient healthcare with large language models: optimizing clinical workflow and enhancing patient care

10.1093/jamia/ocad258 · 2024 · External reference