Currents in Pharmacy Teaching and Learning, Journal Year: 2025, Volume and Issue: 17(8), P. 102365 - 102365
Published: May 1, 2025
Language: Английский
Intelligence-Based Medicine, Journal Year: 2025, Volume and Issue: unknown, P. 100214 - 100214
Published: Jan. 1, 2025
Language: Английский
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Annals of Medicine and Surgery, Journal Year: 2025, Volume and Issue: 87(3), P. 1446 - 1453
Published: Feb. 5, 2025
Background: The role of community pharmacies has been transitioning from traditional drug dispensing methods to include more patient-centered services such as pharmacotherapeutic monitoring. With the increasing complexity medication regimens and rising prevalence chronic diseases, monitoring plays a crucial in preventing medication-related problems. This study aims review patient outcomes pharmacies’ involvement services. It also highlights advances process, challenges involved, relevant solutions. Methods: A narrative was conducted 8 April 2024 9 May 2024, where data were extracted multiple research studies indexed PubMed, EBSCOHost, Google Scholar databases. included only previous articles written English had information pharmacy, care, innovations monitoring, associated with process pharmacies. Results: Implementation improves satisfaction. minimizes adverse events by ensuring optimal dosing adherence, which turn reduces medical expenses duration hospitalization. However, factors inefficient analytical resources, lack skilled personnel, huge financial costs complicate implementation Conclusion: Community participation therapeutic is promising development that prioritizes tailored eliminating need for hospital visits. We recommend multidisciplinary collaboration, robust electronic record systems, large-scale provide sufficient evidence on application pharmacies, leverage this service. Also, policy decision-makers should facilitate practice investing tools training pharmacists.
Language: Английский
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Hospital Pharmacy, Journal Year: 2025, Volume and Issue: unknown
Published: Feb. 27, 2025
Medication management in hospitals is a complex process that encompasses every step from prescription to administration, involving multiple healthcare professionals. This prone various errors can compromise patient safety and generate significant human financial costs. Automation hospital pharmacies represents major advancement, enhancing safety, optimizing professional practices, reducing expenses. study aims analyze the different types of automation systems used pharmacies, assess impact automation, explore its benefits as well challenges limitations associated with implementation. A literature search was conducted using ScienceDirect, PubMed, Scopus databases, covering period 1992 2024. total 129 relevant articles related medication preparation distribution, perspectives were included this study. Automated technologies significantly contribute errors, strengthening traceability, inventory management, alleviating workload However, persist, particularly terms costs, integration existing processes, staff training. The use artificial intelligence offers promising prospects for improving accuracy operational efficiency systems.
Language: Английский
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Nutrients, Journal Year: 2025, Volume and Issue: 17(5), P. 846 - 846
Published: Feb. 28, 2025
With advancements in medical technology, biochemistry, and clinical practices, the modern approach to total parenteral nutrition (TPN) has been focused on precision, safety, optimization of metabolic nutritional parameters based patient's needs. In last decade, TPN mixtures have transitioning from a lifesaving intervention for patients unable receive enteral highly specialized therapy aimed at improving outcomes, reducing complications, personalizing care. Total attracted great interest, its adaptation needs is topic interest scientific community. However, there are problems related shortages supply concentrates required balance infections linked venous access devices that necessary administering nutrition. Adjusting composition meet specific patient requires specialist knowledge, as ingredients available market differ terms excipients this may increase risk physicochemical incompatibilities, particularly destabilization lipid fraction. It common practice inject drugs into bag, hence high demand confirmation compatibility given drug with composition. methods used still solutions proposed research. order ensure safety use advanced therapy, continuous education monitoring latest research required. The integration artificial intelligence (AI) represents paradigm shift management (TPN). As transitions standardized, one-size-fits-all personalized we must examine challenges future directions AI-driven provide comprehensive analysis impact practice.
Language: Английский
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Pharmacy, Journal Year: 2025, Volume and Issue: 13(2), P. 41 - 41
Published: March 7, 2025
Over the past five years, application of artificial intelligence (AI) including its significant subset, machine learning (ML), has significantly advanced pharmaceutical procedures in community pharmacies, hospital and industry settings. Numerous notable healthcare institutions, such as Johns Hopkins University, Cleveland Clinic, Mayo have demonstrated measurable advancements use delivery. Community pharmacies seen a 40% increase drug adherence 55% reduction missed prescription refills since implementing technologies. According to reports, implementations reduced distribution errors by up 75% enhanced detection adverse medication reactions 65%. businesses, Atomwise Insilico Medicine, assert that they made noteworthy progress creation AI-based medical therapies. Emerging technologies like federated quantum computing potential boost prediction protein–drug interactions 300%, despite challenges high implementation costs regulatory compliance. The significance upholding patient-centred care while encouraging technology innovation is emphasised this review.
Language: Английский
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Frontiers in Pharmacology, Journal Year: 2025, Volume and Issue: 16
Published: March 14, 2025
Optimizing prescription practices for surgical patients is crucial due to the complexity and sensitivity of their medication regimens. To enhance safety improve patient outcomes by introducing a machine learning (ML)-based warning model integrated into pharmacist-led Surgical Medicines Prescription Optimization Prediction (SMPOP) service. A retrospective cohort design with prospective implementation phase was used in tertiary hospital. The study divided three phases: (1) Data analysis ML development (1 April 2019 31 March 2022), (2) Establishment management 2022 2023), (3) Outcome evaluation 2023 2024). Key variables, including gender, age, number comorbidities, type surgery, surgery complexity, days from hospitalization prescription, medication, route administration, prescriber's seniority were collected. data set training test form 8:2. effectiveness SMPOP service evaluated based on appropriateness, adverse drug reactions (ADRs), length hospital stay, total costs, expenses. In Phase 1, 6,983 prescriptions identified as potential errors (PPEs) development, 43.9% them accepted prescribers. Random Forest (RF) performed best (AUC = 0.893) retained high accuracy 12 features 0.886). External validation showed an AUC 0.786. 2, services implemented, which effectively promoted effective communication between pharmacists physicians ensured successful intervention measures. fully implemented. 3, acceptance rate pharmacist recommendations rose 71.3%, while costs significantly decreased (p < 0.05), indicating overall improvement compared 1. enhances reduces ADRs, shortens stays, lowers underscoring need continuous innovation healthcare.
Language: Английский
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Ars Pharmaceutica (Internet), Journal Year: 2025, Volume and Issue: 66(2), P. 122 - 125
Published: March 19, 2025
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BMJ Open, Journal Year: 2025, Volume and Issue: 15(3), P. e098290 - e098290
Published: March 1, 2025
Introduction Methods to adopt artificial intelligence (AI) in healthcare clinical practice remain unclear. The potential for rapid integration of AI-enabled technologies across settings coupled with the growing digital divide health sector highlights need examine AI use by professionals, especially allied disciplines emerging such as physiotherapy, occupational therapy, speech pathology, podiatry and dietetics. This protocol details methodology a scoping review on technology sectors workforce. research question is ‘How used workforce improve patient safety, quality care outcomes, what evidence supporting this use?’ analysis will follow Joanna Briggs Institute guidelines. Databases be searched from 17 24 March 2025 include PubMed/Medline, Embase, PsycINFO Cummulative Index Nursing Allied Health Literature databases. Dual screening against inclusion criteria applied study selection. Peer-reviewed articles reporting primary published English within last 10 years included. Studies evaluated using Quality Assessment Diverse tool. map existing literature identify key themes related Ethics dissemination No ethics approval sought, only secondary outputs used. Findings disseminated through peer-reviewed publication presentations at workshops conferences. Trial registration number Open Science Framework Protocol Registration https://osf.io/r7t4s
Language: Английский
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Frontiers in Pharmacology, Journal Year: 2025, Volume and Issue: 16
Published: March 26, 2025
Objective There is limited information regarding community pharmacists’ perspectives on implementing a self-administered screening tool for identifying patients at risk of medication-related problems. This study assessed Australian views introducing such within the pharmacy setting. Methods An online cross-sectional survey was conducted among pharmacists from March to May 2023. The collected relevant demographic data and responses perceived barriers facilitators tool. Reliability statistics were computed facilitators, chi-square or Fisher’s Exact tests performed assess their association with variables. Results Two hundred thirty-one across Australia surveyed. Most (78%) reported that problems are common expressed support patient identify high (88%). Over two-thirds (69%) willing allocate time reviewing medications if flagged most frequently anticipated tools constraints (63%), staff shortage interest (each accounting 57%). In contrast, effective communication patients’ appreciation expertise efforts (67%) predominantly stated facilitators. Conclusion supportive study’s findings provide valuable insights developing tailored
Language: Английский
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IGI Global eBooks, Journal Year: 2025, Volume and Issue: unknown, P. 415 - 434
Published: March 28, 2025
Indian Sign Language (ISL) is the dominant language used by deaf and dumb community in India. According to a report WHO, there are around 63 million people across India who suffering from hearing impairments. With having large population percentage occurrence of impairments being high, need for spoken ISL translation systems improve communication between communities. The current work done this domain promising but quite restricted due lack dictionary words resources. Our proposal takes on different approach than existing translation. purpose research create system that translates Hindi into through Neural Machine Translation (NMT). Using rule-based approach, corpus created which follows all grammar conventions ISL. This dataset then train an NMT model can be deployed further
Language: Английский
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