Analytics In Healthcare An Introduction

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Analytics In Healthcare An Introduction

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Author : Raymond A. Gensinger, Jr., MD, CPHIMS, FHIMSS, Editor
language : en
Publisher: HIMSS
Release Date : 2014

Analytics In Healthcare An Introduction written by Raymond A. Gensinger, Jr., MD, CPHIMS, FHIMSS, Editor and has been published by HIMSS this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014 with Health services administration categories.

Analytics in healthcare: An introduction product details : 1) It gives clear insights about healthcare analytics. 2) This is helpful for both student and staff. 3) Includes data governance and DELTA analytics maturity model. 4) Quick and manageable to read.

Analytics In Healthcare

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Author : Ray Gensinger
language : en
Publisher: CRC Press
Release Date : 2021-02-25

Analytics In Healthcare written by Ray Gensinger and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-02-25 with Business & Economics categories.

The editors of the HIMSS Books' best-seller Health: From Smartphones to Smart Systems have returned to deliver an expansive survey of the initiatives, innovators, and technologies driving the patient-centered mobile healthcare revolution. mHealth Innovation: Best Practices from the Mobile Frontier explores the promise of mHealth as a balance between emerging technologies and process innovations leading to improved outcomes-with the ultimate aim of creating a patient-centered and consumer-driven healthcare ecosystem. Examining the rapidly changing mobile healthcare environment from myriad perspectives, the book includes a comprehensive survey of the current-state ecosystem-app development, interoperability, security, standards, organizational and governmental policy, innovation, next-generation solutions, and mBusiness-and 20 results-driven, world-spanning case studies covering behavior change, patient engagement, patient-provider decision making, mobile gaming, mobile prescription therapy, home monitoring, mobile-to-mobile online delivery, access to care, app certification and quality evaluations, mixed media campaigns, and much more.

Analytics In Healthcare

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Author : Christo El Morr
language : en
Publisher: Springer
Release Date : 2019-01-21

Analytics In Healthcare written by Christo El Morr and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-01-21 with Medical categories.

This book offers a practical introduction to healthcare analytics that does not require a background in data science or statistics. It presents the basics of data, analytics and tools and includes multiple examples of their applications in the field. The book also identifies practical challenges that fuel the need for analytics in healthcare as well as the solutions to address these problems. In the healthcare field, professionals have access to vast amount of data in the form of staff records, electronic patient record, clinical findings, diagnosis, prescription drug, medical imaging procedure, mobile health, resources available, etc. Managing the data and analyzing it to properly understand it and use it to make well-informed decisions can be a challenge for managers and health care professionals. A new generation of applications, sometimes referred to as end-user analytics or self-serve analytics, are specifically designed for non-technical users such as managers and business professionals. The ability to use these increasingly accessible tools with the abundant data requires a basic understanding of the core concepts of data, analytics, and interpretation of outcomes. This book is a resource for such individuals to demystify and learn the basics of data management and analytics for healthcare, while also looking towards future directions in the field.

Healthcare Analytics Made Simple

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Author : Vikas (Vik) Kumar
language : en
Publisher: Packt Publishing Ltd
Release Date : 2018-07-31

Healthcare Analytics Made Simple written by Vikas (Vik) Kumar and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-07-31 with Computers categories.

Add a touch of data analytics to your healthcare systems and get insightful outcomes Key Features Perform healthcare analytics with Python and SQL Build predictive models on real healthcare data with pandas and scikit-learn Use analytics to improve healthcare performance Book Description In recent years, machine learning technologies and analytics have been widely utilized across the healthcare sector. Healthcare Analytics Made Simple bridges the gap between practising doctors and data scientists. It equips the data scientists’ work with healthcare data and allows them to gain better insight from this data in order to improve healthcare outcomes. This book is a complete overview of machine learning for healthcare analytics, briefly describing the current healthcare landscape, machine learning algorithms, and Python and SQL programming languages. The step-by-step instructions teach you how to obtain real healthcare data and perform descriptive, predictive, and prescriptive analytics using popular Python packages such as pandas and scikit-learn. The latest research results in disease detection and healthcare image analysis are reviewed. By the end of this book, you will understand how to use Python for healthcare data analysis, how to import, collect, clean, and refine data from electronic health record (EHR) surveys, and how to make predictive models with this data through real-world algorithms and code examples. What you will learn Gain valuable insight into healthcare incentives, finances, and legislation Discover the connection between machine learning and healthcare processes Use SQL and Python to analyze data Measure healthcare quality and provider performance Identify features and attributes to build successful healthcare models Build predictive models using real-world healthcare data Become an expert in predictive modeling with structured clinical data See what lies ahead for healthcare analytics Who this book is for Healthcare Analytics Made Simple is for you if you are a developer who has a working knowledge of Python or a related programming language, although you are new to healthcare or predictive modeling with healthcare data. Clinicians interested in analytics and healthcare computing will also benefit from this book. This book can also serve as a textbook for students enrolled in an introductory course on machine learning for healthcare.

The Ethical Governance Of Artificial Intelligence And Machine Learning In Healthcare

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Author : Tina Nguyen
language : en
Publisher: Ethics International Press
Release Date : 2023-11-25

The Ethical Governance Of Artificial Intelligence And Machine Learning In Healthcare written by Tina Nguyen and has been published by Ethics International Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-11-25 with Medical categories.

This book explores the ethical governance of Artificial Intelligence (AI) & Machine Learning (ML) in healthcare. AI/ML usage in healthcare as well as our daily lives is not new. However, the direct, and oftentimes long-term effects of current technologies, in addition to the onset of future innovations, have caused much debate about the safety of AI/ML. On the one hand, AI/ML has the potential to provide effective and efficient care to patients, and this sways the argument in favor of continuing to use AI/ML; but on the other hand, the dangers (including unforeseen future consequences of the further development of the technology) leads to vehement disagreement with further AI/ML usage. Due to its potential for beneficial outcomes, the book opts to push for ethical AI/ML to be developed and examines various areas in healthcare, such as big data analytics and clinical decision-making, to uncover and discuss the importance of developing ethical governance for AI/ML in this setting.

Himss Publications Multimedia Catalog 2014

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Author : HIMSS
language : en
Publisher: HIMSS
Release Date :

Himss Publications Multimedia Catalog 2014 written by HIMSS and has been published by HIMSS this book supported file pdf, txt, epub, kindle and other format this book has been release on with categories.

Data Science And Medical Informatics In Healthcare Technologies

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Author : Nguyen Thi Dieu Linh
language : en
Publisher: Springer Nature
Release Date : 2021-06-19

Data Science And Medical Informatics In Healthcare Technologies written by Nguyen Thi Dieu Linh and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-06-19 with Computers categories.

This book highlights a timely and accurate insight at the endeavour of the bioinformatics and genomics clinicians from industry and academia to address the societal needs. The contents of the book unearth the lacuna between the medication and treatment in the current preventive medicinal and pharmaceutical system. It contains chapters prepared by experts in life sciences along with data scientists for examining the circumstances of health care system for the next decade. It also highlights the automated processes for analyzing data in clinical trial research, specifically for drug development. Additionally, the data science solutions provided in this book help pharmaceutical companies to improve on what had historically been manual, costly and laborious process for cross-referencing research in clinical trials on drug development, while laying the groundwork for use with a full range of other drugs for the conditions ranging from tuberculosis, to diabetes, to heart attacks and manyothers.

Health Informatics E Book

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Author : Ramona Nelson
language : en
Publisher: Elsevier Health Sciences
Release Date : 2016-12-08

Health Informatics E Book written by Ramona Nelson and has been published by Elsevier Health Sciences this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-12-08 with Medical categories.

Awarded second place in the 2017 AJN Book of the Year Awards in the Information Technology category. See how information technology intersects with health care! Health Informatics: An Interprofessional Approach, 2nd Edition prepares you for success in today's technology-filled healthcare practice. Concise coverage includes information systems and applications such as electronic health records, clinical decision support, telehealth, ePatients, and social media tools, as well as system implementation. New to this edition are topics including data science and analytics, mHealth, principles of project management, and contract negotiations. Written by expert informatics educators Ramona Nelson and Nancy Staggers, this edition enhances the book that won a 2013 American Journal of Nursing Book of the Year award! - Experts from a wide range of health disciplines cover the latest on the interprofessional aspects of informatics — a key Quality and Safety Education for Nurses (QSEN) initiative and a growing specialty area in nursing. - Case studies encourage higher-level thinking about how concepts apply to real-world nursing practice. - Discussion questions challenge you to think critically and to visualize the future of health informatics. - Objectives, key terms and an abstract at the beginning of each chapter provide an overview of what you will learn. - Conclusion and Future Directions section at the end of each chapter describes how informatics will continue to evolve as healthcare moves to an interprofessional foundation. - NEW! Updated chapters reflect the current and evolving practice of health informatics, using real-life healthcare examples to show how informatics applies to a wide range of topics and issues. - NEW mHealth chapter discusses the use of mobile technology, a new method of health delivery — especially for urban or under-served populations — and describes the changing levels of responsibility for both patients and providers. - NEW Data Science and Analytics in Healthcare chapter shows how Big Data — as well as analytics using data mining and knowledge discovery techniques — applies to healthcare. - NEW Project Management Principles chapter discusses proven project management tools and techniques for coordinating all types of health informatics-related projects. - NEW Contract Negotiations chapter describes strategic methods and tips for negotiating a contract with a healthcare IT vendor. - NEW Legal Issues chapter explains how federal regulations and accreditation processes may impact the practice of health informatics. - NEW HITECH Act chapter explains the regulations relating to health informatics in the Health Information Technology for Education and Clinical Health Act as well as the Meaningful Use and Medicare Access & CHIP Reauthorization Act of 2015.

Data Analytics In Biomedical Engineering And Healthcare

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Author : Kun Chang Lee
language : en
Publisher: Academic Press
Release Date : 2020-10-18

Data Analytics In Biomedical Engineering And Healthcare written by Kun Chang Lee and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-10-18 with Science categories.

Data Analytics in Biomedical Engineering and Healthcare explores key applications using data analytics, machine learning, and deep learning in health sciences and biomedical data. The book is useful for those working with big data analytics in biomedical research, medical industries, and medical research scientists. The book covers health analytics, data science, and machine and deep learning applications for biomedical data, covering areas such as predictive health analysis, electronic health records, medical image analysis, computational drug discovery, and genome structure prediction using predictive modeling. Case studies demonstrate big data applications in healthcare using the MapReduce and Hadoop frameworks. - Examines the development and application of data analytics applications in biomedical data - Presents innovative classification and regression models for predicting various diseases - Discusses genome structure prediction using predictive modeling - Shows readers how to develop clinical decision support systems - Shows researchers and specialists how to use hybrid learning for better medical diagnosis, including case studies of healthcare applications using the MapReduce and Hadoop frameworks

Introduction To Singapore

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Author : Gilad James, PhD
language : en
Publisher: Gilad James Mystery School
Release Date :

Introduction To Singapore written by Gilad James, PhD and has been published by Gilad James Mystery School this book supported file pdf, txt, epub, kindle and other format this book has been release on with Travel categories.

Singapore is a small island city-state located in Southeast Asia with a diverse population of people from different ethnic backgrounds such as Chinese, Malay, and Indian. It is widely known for its high standards of living, impeccable cleanliness, and booming economies. Singapore has also been ranked as one of the most livable cities in the world by various surveys over the years. It is a highly developed country with a highly educated workforce, advanced infrastructure, and excellent health care systems. The country's economy is heavily dependent on exports, mainly electronics, chemicals, and pharmaceuticals. Singapore is also a popular tourist destination showcasing their vibrant culture, cuisine, and iconic landmarks such as Marina Bay Sands, Gardens by The Bay, and Sentosa Island. However, Singapore's journey towards growth has not been without challenges. The country’s strategic location led to it being a colony of several different countries over the years, Chinese dialects and Malay are the official languages, but English is commonly used as a medium of communication due to its role in international trade. The country's size has also been a significant challenge, leading to government initiatives such as reclaiming land from the sea to make more land available for development. Despite these challenges, Singapore has overcome many odds to become one of the most successful and progressive countries in the world. It is an example to many other countries on how to prioritize education, infrastructure, and innovation to drive national growth and development.