Marie A. Chisolm-Burns, Allison M. Vaillancourt, Marv Shepherd. Pharmacy Management, Leadership, Marketing, and Finance
Bibliographic record
Abstract
Marie A. Chisolm-Burns, Allison M. Vaillancourt, Marv Shepherd. Pharmacy Management, Leadership, Marketing, and Finance. Sudbury, MA: Jones and Bartlett Publishers, LLC; 2011. 560pp, $61.95 (softcover). ISBN 978-1-44961-343-3. Pharmacy Management, Leadership, Marketing, and Finance follows in the footsteps of other general management and leadership books with one central exception: teaching leadership and management specifically for the profession of pharmacy. This book hopefully serves as an answer to the dearth of pharmacy-specific management texts. The authors planned for it to serve as a training manual for both students and pharmacists; it can be used in the classroom or on the job. The text instructs on areas that are crucial for success in pharmacy, such as operations management, reimbursement, marketing, communication, conflict management, and human resource strategies. It is inferred that this book helps formal leaders of pharmacy, such as pharmacists-in-charge, and informal leaders, such as pharmacy student interns. Although earlier chapters serve as a foundation for later chapters, the individual chapters are also intended to be a handy reference tool for pharmacy managers. The chapters are written by over 50 contributors and reviewed by over 70 professionals from a myriad of disciplines, such as pharmacy faculty members, pharmacy managers, attorneys, human resources specialists, hospital directors, pharmacy administrators, and so on. This textbook is divided into 9 different general sections: Leading and Managing, Change and Innovation, Law and Ethics, Pharmacy Operations, Planning, Marketing, Human Resources, Communication, and Personal Development. There are 27 chapters in all, each written by multiple authors. The topics of the chapters include a multifaceted collection of areas that connect the professions of pharmacy and management/finance. These topics include pharmacy operations, inventory, third-party payers, accounting, entrepreneurship, and law/ethics. Furthermore, some chapters cover patient satisfaction and care, while others address recruiting and hiring staff members, managing them, and resolving problems and conflicts. Lucrative methods of advertising, marketing, and personal finance are also provided. At the head of each chapter, a synopsis of learning objectives, key concepts, and an introduction is provided. Key concepts are numbered and pointed out throughout the text. Each chapter is divided into various sections and subsections, all in larger bold font. Key terms also are in bold, signifying that they can be found in the glossary at the back of the book. Many of the sections include bulleted lists. Tables and figures are used throughout each chapter, with explanatory captions and sources cited. Each chapter ends with a concise summary, references, list of abbreviations used, and case scenarios for stimulating discussion. There is also an invitation at the end of each chapter to visit the companion Web site for students, a resource that provides self-assessment questions, an interactive glossary, puzzles, flashcards, and links to supporting videos and commentary from international experts available online. Instructors can benefit from prepared lesson plans, PowerPoint slides, a sample syllabus, and other materials for their classes. …
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.105 | 0.085 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".