Учебное пособие посвящено вопросам информатизации системы здравоохранения. В пособии рассмотрены современные информационные технологии, применяемые для решения задач, связанных с медицинской практикой, наукой и управлением здравоохранением, представлена классификация медицинских информационных систем и автоматизированных рабочих мест врачей-специалистов, уделено внимание безопасности хранения и передачи медицинской информации в лечебных учреждениях. Данное пособие содержит теоретическую и практическую часть для подготовки специалистов по направлению 31.05.01 Лечебное дело в рамках изучения дисциплины «Медицинская информатика».

"Fundamentals of LiDAR Remote Sensing" by P.K. Garg and Arti Tiwari is a thorough exploration of LiDAR technology its principles and its applications. The book covers the basics of LiDAR including its components systems and data processing techniques as well as its applications in various domains such as agriculture forestry urban planning and autonomous vehicles. With a focus on providing a deep understanding of laser scanning and its data processing techniques the book addresses theories and practices of information extraction from LiDAR data including terrain surface generation forest inventory and 3D modeling. Written by experts in the field this comprehensive book is an essential resource for students and professionals working in diverse disciplines including geomatics civil engineering earth sciences and computer science.

The book "A Practitioner's Approach to Geographical Information Systems" is an exhaustive resource that offers a structured and logical learning experience for those seeking to master Geographical Information Systems (GIS). This textbook is designed as a hands-on guide providing step-by-step experiments and exercises that cover the foundational skills required to work with GIS software. The book's content is carefully curated to bridge the gap between theoretical GIS concepts and their real-world applications making it an ideal resource for students practitioners and researchers.

Step into the future of pharmaceutical product management with The Pharma Product Manager: Handbook for Navigating the Digital Frontier. As the healthcare industry evolves rapidly pharmaceutical product managers are at the forefront of this transformation. This essential guide equips you with the knowledge skills and strategies needed to thrive in a digital age where innovation data and customer-centric approaches redefine success. Inside you'll discover: Core Competencies for Digital Mastery: Develop the critical skills and leadership capabilities to manage product lifecycles launch strategies and cross-functional teams. Scientific Regulatory Insights: Master the intricacies of drug development clinical trials and regulatory affairs to make informed decisions that drive growth. Navigating Digital Marketing Channels: Leverage digital tools AI and emerging technologies to design impactful marketing strategies and engage with key stakeholders. Effective Product Launch and Lifecycle Management: This section provides step-by-step guidance on launching and managing pharmaceutical products in a highly competitive fast-changing market. Real-World Case Studies: Learn from successful product launches lifecycle extensions and strategic marketing decisions leading pharma companies make.Whether you're a seasoned product manager or new to the field this handbook provides the essential roadmap to success in the pharmaceutical industry's dynamic digital frontier. Stay ahead of the curve and lead your product to success in an increasingly connected world.Prepare. Adapt. Lead. Welcome to the future of pharmaceutical product management.

Dive into the future of education with "Teaching in the Digital Age: A Guide to Modernizing Higher Education." From traditional chalkboards to cutting-edge keyboards this enlightening guide is designed for educators navigating the digital realm. Through the lens of innovative tools like interactive whiteboards multimedia presentations and virtual reality educators are shown how technology can revolutionize higher education creating dynamic and inclusive learning environments. Packed with practical tips engaging case studies and inspiring examples this book empowers teachers to embrace learner-centric approaches and leverage technology for enhanced collaboration and personalized learning experiences. Whether you're a seasoned educator or just starting out join the digital revolution and transform your teaching with creativity adaptability and a growth mindset. Say farewell to the chalkboard and welcome the keyboard as you embark on a journey of discovery in the ever-evolving landscape of modern education.

About the Book In "Mastering Data Science Using R Programming " embark on a comprehensive journey through the fundamental concepts and techniques of data science. Designed as a practical guide for students and professionals alike this textbook breaks down the intricacies of data science into seven units. From delving into Linear Algebra and Eigenvalues to exploring Random Variables and Hypothesis Testing each unit builds upon the last to create a seamless learning experience. Dive into the world of R Programming mastering Variables Functions Control Structures and Simulation. With insights into Classification Clustering Association Rule Mining and real-world Case Studies this book equips you with the tools to apply data science effectively. Clear explanations and relevant examples make complex topics easily digestible ensuring that you emerge well-versed in the art of data science. "Mastering Data Science Using R Programming" is a must-have resource for aspiring data scientists eager to excel in this dynamic field. Start your journey to mastery today!

Whispering to AI: Prompt Engineering for Pharma Brand Managers isn't just another marketing guide. It's your secret weapon to unlocking the power ofAI in pharma.Inside you'll learn how to use AI to: Craft messages that speak to yourpatients.Forget generic ads - let AI help you create personalized connected experiences. Unleash your creativity.AI isn't here to replace you;it's your partner for crafting amazing content that grabs attention. Stay ahead of the game. Learn how to use AI to analyze data understand your competitors and create marketing campaigns that truly stand out.This book isn't just about technology; it's about building stronger relationshipswith patients and revolutionizing the way you do pharma marketing.Ready to unlock the future? Get your copy today!

The book "AI and ML in Pharmaceutical Science" provide valuable insights for pharmacy students and healthcare professionals. It introduces key concepts of Artificial Intelligence (AI) and Machine Learning (ML) and demonstrates their applications in pharmaceutical and healthcare sector. This book serves as a comprehensive source of information to understand the advanced transformative technologies and their impact on the pharmaceutical sector. The key features of the book are Foundational Knowledge: To understand the basic principles of AI and ML which are crucial for pharmaceutical research and development. ;Real-World Applications: To explore how AI and ML are being used in drug discovery personalized medicine and clinical trials etc. Future Outlook: To provide the glimpse of future trends and how AI and ML will continue to influence the pharmaceutical sector.This book will help the students and professionals to gain the knowledge of fast-changing field of AI and ML in pharmaceuticals and health care field.

"Computer Aided Drug Development" is an exhaustive resource that provides a comprehensive perspective on the integration of computational technologies with pharmaceutical sciences. The book is divided into five units each exploring a different aspect of computer-aided drug development. The units cover topics such as the role of computers in pharmaceutical research and development computational modeling for drug disposition formulation development biopharmaceutical characterization and the applications of Artificial Intelligence Robotics and Computational Fluid Dynamics in drug development. This book aims to provide readers with a thorough understanding of how computer-aided methods are transforming the drug development process making it an essential resource for students researchers and professionals in the field of pharmaceutical sciences.

Учебное пособие содержит подробные методические указания к практическим занятиям, темы рефератов, творческих заданий. Оно предназначено для изучения дисциплины «Информационные технологии в профессиональной деятельности», входящей в государственный образовательный стандарт подготовки специалистов по направлению 34.02.01 Сестринское дело. Учебное пособие направлено на развитие знаний, умений и навыков по информационным технологиям, необходимых квалифицированному работнику здравоохранения.

 В монографии отражен исследовательский подход и авторское видение комплекса проблем, связанных с текущим положением и перспективами деятельности школьных библиотек в системе образования Российской Федерации в условиях цифровой трансформации. В работе рассмотрены теоретические и организационные основы модернизации библиотечной деятельности в образовательных организациях; представлены модель информационно-библиотечного центра, модель цифровой (электронной) библиотеки и модель развития цифровой грамотности библиотекаря; проанализированы практические аспекты управления процессами модернизации школьных библиотек и сформулированы рекомендации по организации деятельности информационно-библиотечных центров, использующих современные цифровые технологии, ресурсы и сервисы.

Адресовано специалистам, ответственным за построение современной образовательной инфраструктуры, руководителям образовательных организаций, сотрудникам школьных библиотек и информационно-библиотечных центров. 

Книга посвящена причинно-следственным выводам, особенно выводам, сделанным на основе наблюдений. Первая часть посвящена концепциям причинности с точки зрения наблюдаемого эффекта. Во второй части большое внимание уделяется процессам генерации данных и причинно-следственным диаграммам. Обсуждение идей подкреплено детальными иллюстрациями и пояснениями о том, что мы делаем с данными. Подробно раскрыта роль контрольных и инструментальных переменных в построении модели причинного вывода. Приведены подробные примеры кода на R, Stata и Python. Издание предназначено студентам, преподавателям, а также специалистам по обработке данных и бизнес-аналитикам с небольшим опытом работы в области причинного вывода.