Medicine and health sciences
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Comparing Patient Satisfaction: Telepharmacy vs. In-Person Counseling
— Patient satisfaction is a core indicator of quality in pharmacy services and a powerful predictor of adherence, persistence, and clinical outcomes. Rapid diffusion of telepharmacy—video, phone, and asynchronous chat–based counseling—promises gains in access and convenience…
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Ethical Considerations in the Design and Implementation of Healthcare Technologies
— The rapid advancement of healthcare technologies, including artificial intelligence (AI), telemedicine, electronic health records (EHRs), wearable devices, and biotechnology, has revolutionized patient care, diagnosis, and treatment. However, these innovations also raise significant ethical concerns, such…
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Medical Expert Led Virtual Chronic Disease Management Clinics
— Chronic diseases require sustained clinical surveillance, individualized treatment adjustment, and rapid identification of deterioration, yet conventional episodic outpatient models often provide fragmented longitudinal care. Recent growth in telemedicine, remote patient monitoring, wearable sensors, and artificial…
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Medical Science Assessment of Pharmacy Practices and Patient Safety in Healthcare: A Multi-Site Evaluation of Clinical Pharmacy Interventions
— Medication-related harm remains a leading and largely preventable cause of injury in healthcare, and pharmacy practice sits at every stage of the medication-use process where that harm arises. This study assessed the impact of a…
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Use of Voice-Activated Digital Assistants for Medication Information Dissemination: A Mixed-Methods Evaluation of Accuracy, Safety and Patient Knowledge Outcomes
— Voice-activated digital assistants (VADAs) are increasingly used as first-line sources of medication information, yet evidence on their accuracy and downstream patient outcomes remains fragmented. This study evaluated four voice platforms — Amazon Alexa, Apple Siri,…
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Artificial Intelligence in Personalized Pharmacotherapy: Integrating Patient Data, Predictive Analytics, and Clinical Decision Support
— Personalized pharmacotherapy seeks to match the right drug and dose to the individual patient, yet clinicians still rely heavily on population-average dosing that ignores genetic, clinical and contextual variability. This study developed and evaluated an…
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Evaluating AI-Based Prescription Error Detection Systems in Hospital Pharmacies
— Medication safety remains a critical quality and patient-safety priority in hospital pharmacies. Traditional approaches—prospective order review, pharmacist verification, and computerized provider order entry (CPOE) with static rules—reduce error rates but struggle with context, scale, and…
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Effectiveness of Conversational AI Agents in Enhancing Patient–Pharmacist Communication
— Clear, empathic, and timely communication between patients and pharmacists is central to medication safety, adherence, and shared decision-making. Yet real-world practice is often constrained by high dispensing workloads, limited private space, varying patient health literacy,…
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Machine Learning Models for Personalized Medication Adherence Interventions in Chronic Disease Management
Medication nonadherence is a persistent barrier to effective chronic disease management, leading to preventable morbidity, hospitalizations, and costs. Traditional, one-size-fits-all adherence programs (e.g., reminder calls, generic SMS messages) rarely account for the heterogeneous and dynamic drivers…
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Aquatic Therapy as an Adjunct to Land-Based Exercises in Orthopedic Rehab
— Aquatic therapy, leveraging the unique physical properties of water—buoyancy, hydrostatic pressure, viscosity, and thermal conductivity—offers a low-impact environment that can enhance the safety and efficacy of orthopedic rehabilitation. When combined with land-based exercises, aquatic interventions…