Marie A. Chisolm-Burns, Allison M. Vaillancourt, Marv Shepherd. Pharmacy Management, Leadership, Marketing, and Finance
Notice bibliographique
Résumé
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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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,002 | 0,002 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,003 | 0,003 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,002 | 0,003 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,105 | 0,085 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».