Take the Practical Approach to Applying EBM Principles Pharmacists who make clinical decisions based on experience alone overestimate the efficacy and underestimate the safety risks of drugs. This leads to variations in services and treatment that result in inappropriate care, lack of care, and increased healthcare costs. Evidence-based medicine (EBM) employs the scientific method as the key source of knowledge for making clinical decisions. This easy-to-use new guide provides a practical approach for confidently applying EBM principles in daily practice. It's a straightforward process that allows pharmacists to incorporate their own clinical judgment while they make firm decisions and recommendations based on results of rigorously conducted clinical trials. Based on a five-step process perfected over 10 years at the University of Missouri, Kansas City, School of Pharmacy, this exciting new method makes it easy to apply the EBM approach in clinical settings. The new process streamlines the highly technical and complex original EBM method, greatly reducing its complexity while maintaining rigor. Categorizing quality of the evidence in a simple and logical manner, it provides critical, time-sensitive support for clinical decision-making.

Evidence-based medicine (EBM) uses the scientific method as the key source of knowledge for making clinical decisions. This easy-to-use new guide provides a practical approach for applying EBM principles in daily practice.

Extensive coverage of the Internet as a source of and distribution means for drug information, and detailed sections on evaluating medical literature from clinical trials Audience includes Pharmacists, Pharmacy students and Pharmacy schools Updated to include using PDAs for medication information Covers the ethical and legal aspects of drug information management Nothing else like it on the market

This open access book comprehensively covers the fundamentals of clinical data science, focusing on data collection, modelling and clinical applications. Topics covered in the first section on data collection include: data sources, data at scale (big data), data stewardship (FAIR data) and related privacy concerns. Aspects of predictive modelling using techniques such as classification, regression or clustering, and prediction model validation will be covered in the second section. The third section covers aspects of (mobile) clinical decision support systems, operational excellence and value-based healthcare. Fundamentals of Clinical Data Science is an essential resource for healthcare professionals and IT consultants intending to develop and refine their skills in personalized medicine, using solutions based on large datasets from electronic health records or telemonitoring programmes. The book’s promise is “no math, no code”and will explain the topics in a style that is optimized for a healthcare audience.

Through the contributions of global experts, this book meets the growing need to understand the implementation and development of pharmaceutical care. Pharmaceutical Care Implementation details the clinical pharmacist's role in providing care to different kind of patients using clinical strategies that improve humanistic, economic and clinical outcomes. Written with a focus for students and pharmacists, this book offers multiple scenarios that serve to improve technical skills. These examples show step-by-step implementation processes from pharmacists who have worked for many years in these fields: drug-related problems, pharmaceutical care in different settings (community, hospital, home care), research outcomes, communication skills, indicators, advertising, remuneration of practice, standards, guidelines, protocols and teaching approaches for universities. Readers will use this book to:- Improve their skills to prevent, detect and solve drug-related problems - Understand the characteristics of care for patients in different settings- Consolidate knowledge from different global research outcomes- Develop and improve communication skills to establish relationships with patients and healthcare professionals.- Learn to use indicators, standards,guidelines,and protocols to guide and evaluate pharmaceutical care performance- Use different tools to advertise pharmaceutical care services- Document pharmaceutical care practices and create evidence for remuneration

Whether you are interpreting the medical literature to optimize patient care, improve health outcomes, or generate hypothesis for research, an understanding of biostatistics is essential for success. Despite exposure to biostatistics in undergraduate and professional education, pharmacists tend to be less confident in their knowledge of biostatistics and their ability to interpret the medical literature than in their clinical skills. This book was developed to bolster the pharmacist's knowledge and confidence for using biostatistical tools for interpreting the literature. With material drawn from ACCP's renowned Pharmacotherapy Self-Assessment Program (PSAP) and the live pharmacotherapy preparatory course Updates in Therapeutics, editor Robert DiCenzo, Pharm.D., FCCP, BCPS, has designed this review to support pharmacists' preparation for the Pharmacotherapy and Ambulatory Care Board of Pharmacy Specialties (BPS) examinations.