SEARCHNARRATIVE_REVIEWresearch methods, biomedical research

narrative_review·research methods, biomedical research, clinical trial·PMC10598710

Artificial intelligence in the field of pharmacy practice: A literature review

Exploratory Research in Clinical and Social Pharmacy · 5 authors, 3 centres

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This summary was generated by AI from a single paper. It has not been reviewed by a clinician and is not clinical advice. Verify against the source before acting on it.

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TL;DR

The central conclusion is that AI can augment pharmacist decision-making and improve patient care, but the paper does not report original research findings.

Full summary

243 CHARS

The methods involved searching databases like PubMed and Scopus with relevant terms and reviewing reference lists. The review highlights that AI tools can help analyze patient data to identify drug-drug interactions and tailor recommendations.

STUDY TYPE

narrative_review

SPECIALTY

research methods

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AI pipeline

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100% · A

ORIGINAL PAPER

PMC10598710

Artificial intelligence in the field of pharmacy practice: A literature review

Exploratory Research in Clinical and Social Pharmacy

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ABSTRACT

Artificial intelligence (AI) is a transformative technology used in various industrial sectors including healthcare. In pharmacy practice, AI has the potential to significantly improve medication management and patient care. This review explores various AI applications in the field of pharmacy practice. The incorporation of AI technologies provides pharmacists with tools and systems that help them make accurate and evidence-based clinical decisions. By using AI algorithms and Machine Learning, pharmacists can analyze a large volume of patient data, including medical records, laboratory results, and medication profiles, aiding them in identifying potential drug-drug interactions, assessing the safety and efficacy of medicines, and making informed recommendations tailored to individual patient requirements. Various AI models have been developed to predict and detect adverse drug events, assist clinical decision support systems with medication-related decisions, automate dispensing processes in community pharmacies, optimize medication dosages, detect drug-drug interactions, improve adherence through smart technologies, detect and prevent medication errors, provide medication therapy management services, and support telemedicine initiatives. By incorporating AI into clinical practice, health care professionals can augment their decision-making processes and provide patients with personalized care. AI allows for greater collaboration between different healthcare services provided to a single patient. For patients, AI may be a useful tool for providing guidance on how and when to take a medication, aiding in patient education, and promoting medication adherence and AI may be used to know how and where to obtain the most cost-effective healthcare and how best to communicate with healthcare professionals, optimize the health monitoring using wearables devices, provide everyday lifestyle and health guidance, and integrate diet and exercise.

CITATION EXPORT

Sri Harsha Chalasani, Jehath Syed, Madhan Ramesh et al.. Artificial intelligence in the field of pharmacy practice: A literature review. Exploratory Research in Clinical and Social Pharmacy. (2023). https://doi.org/10.1016/j.rcsop.2023.100346

AUTHORS

5 · 3 CENTRES

Sri Harsha Chalasani, Jehath Syed, Madhan Ramesh, Vikram Patil, T.M. Pramod Kumar

aDept. of Pharmacy Practice, JSS College of Pharmacy, JSS Academy of Higher Education & Research, Mysuru 15, Karnataka, India
bDept. of Radiology, JSS Medical College & Hospital, JSS Academy of Higher Education & Research, Mysuru 15, Karnataka, India
cJSS College of Pharmacy, Mysuru, Karnataka, India