Patient Centric Analytics In Health Care

In Patient-Centric Analytics in Health Care: Driving Value in Clinical Settings and Psychological Practice, James J. Gillespie and Gregory J. Privitera introduce a framework that explores the utility of analytics for managing care that is based on six key inputs of the health care system: patients, policy makers, providers, pharmacies, pharmaceuticals, and payers. Understanding the roles of these 6 P’s and the utility of analytics to promote data-driven decision models can lead to new innovations. These improvements can enhance quality, increase access, and reduce costs, and thereby drive value for the most important stakeholders in health care: the patients. As the accessibility and volume of data continues to increase, there is a growing desire to utilize data to guide and optimize decision-making in health care environments. There is a wealth of data in health care organizations and much of it is not fully utilized. In today’s climate, these organizations are under increased regulatory and financial pressures to deliver measurable value, particularly as it relates to the quality of patient care in clinical and diagnostic settings. This book includes short contributions from practitioners, including Laurie Branch, Puneet Chahal, Patrick C. Cunningham, Star* Cunningham, Matthew Dreckmeier, Joseph P. Gaspero, Sherri Matis-Mitchell, Gail Mayeaux, Edwin K. Morris, Plamen Petrov, Steven Press, Andrew J. Privitera, Derek Walton, and Daniel Yunker.

This book includes state-of-the-art discussions on various issues and aspects of the implementation, testing, validation, and application of big data in the context of healthcare. The concept of big data is revolutionary, both from a technological and societal well-being standpoint. This book provides a comprehensive reference guide for engineers, scientists, and students studying/involved in the development of big data tools in the areas of healthcare and medicine. It also features a multifaceted and state-of-the-art literature review on healthcare data, its modalities, complexities, and methodologies, along with mathematical formulations. The book is divided into two main sections, the first of which discusses the challenges and opportunities associated with the implementation of big data in the healthcare sector. In turn, the second addresses the mathematical modeling of healthcare problems, as well as current and potential future big data applications and platforms.

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.

This book experiences the future of patient-centered healthcare and dives into the latest advancements and transformative technologies that are revolutionizing the well-being of individuals around the globe. The readers can join authors on an engaging journey as the authors explore the captivating realm of ambient assisted living and unlock its immense potential for improving healthcare outcomes. This book goes beyond mere exploration; it invites readers to embark on a voyage of discovery as authors unveil the outcomes of groundbreaking research ideas. With a diverse range of applications, from deep learning in healthcare to cutting-edge models, the authors offer a comprehensive view of the opportunities and challenges that lie ahead. Whether you're a healthcare professional, an academic seeking the latest insights, or a researcher delving into the realms of ambient assistive technology, biomedical engineering, or computational intelligence, this book is an invaluable resource. Additionally, postgraduate students pursuing data engineering systems find it to be an essential guide. Each chapter stands independently, providing a comprehensive overview of problem formulation and its tangible outcomes. The readers can immerse themselves in the world of patient-centered healthcare today and become part of the forefront of innovation.

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.

This book provides valuable insight into emerging trends in healthcare delivery; patient, family and caregiver engagement and the intersection of the two. It is unique in that it not only incorporates patient’s voice but provides context in the application of patients’ families and caregivers in healthcare transformation and the future of healthcare models. It is suited toward not only promoting empathy toward patients but also challenging the reader to learn and think about the future of healthcare and the value of patient’s voice in policy making and decisions about healthcare. It provides valuable information on quality improvement, consumer experience and emerging careers in this area with practical information and interventions. Nurses and other members of the care team play a critical role in the evolving models of care and must stay abreast of emerging trend to ensure that patients’ needs are met while contributing to meeting the quality and economic goals of the organizations and care settings in which they work. This book will help to ensure that they remain abreast of changing trends in quality improvement, quality measurement, cost, health information technology and patient and family engagement so that they are in a position to lead their teams and organizations. Direct accounts from patients, family and caregivers who want their “voices” heard are incorporated throughout the book.

Patient engagement should be envisaged as a key priority today to innovate healthcare services delivery and to make it more effective and sustainable. The experience of engagement is a key qualifier of the exchange between the demand (i.e. citizens/patients) and the supply process of healthcare services. To understand and detect the strategic levers that sustain a good quality of patients’ engagement may thus allow not only to improve clinical outcomes, but also to increase patients’ satisfaction and to reduce the organizational costs of the delivery of services. By assuming a relational marketing perspective, the book offers practical insights about the developmental process of patients’ engagement, by suggesting concrete tools for assessing the levels of patients’ engagement and strategies to sustain it. Crucial resources to implement these strategies are also the new technologies that should be (1) implemented according to precise guidelines and (2) designed according to a user-centered design process. Furthermore, the book describes possible fields of patients’ engagement application by describing the best practices and experiences matured in different fields

PATIENT CENTRIC BLOOD SAMPLING AND QUANTITATIVE ANALYSIS Authoritative resource providing a complete overview of patient centric blood sampling, as well as its benefits and challenges Patient Centric Blood Sampling and Quantitative Analysis focuses on the growing interest in alternative means to standard phlebotomy and analytical workflows for the collection and analysis of high-quality human biological samples for the quantitative determination of circulating drugs, their metabolites, and endogenous substances for clinical trials, routine healthcare and neonatal screening. The book clearly explains the benefits and constraints of having patients collect small volumes of blood in locations outside of a clinic (e.g at home), including: patient convenience; less invasive procedures; increased frequency of sampling; applicability to collecting samples from the young, elderly, and those in remote locations; greater frequency; and lower cost per sample. Readers will learn about approaches for successfully implementing patient centric sampling workflows in a number of scenarios, including the clinical setting and in the analytical laboratory. Edited by four recognized experts in this field, with additional specialists in the discipline enlisted to write the component chapters, enabling greater depth and detail to be added and further raising the scientific standing of the publication, Patient Centric Blood Sampling and Quantitative Analysis includes information on: Basics of patient centric blood sampling and techniques and approaches that are available and in development for the collection and analysis of the samples Science behind patient centric blood sampling and its implications regarding human healthcare and wellbeing Application areas of patient centric sampling, including drug development, clinical chemistry/pathology, therapeutic drug monitoring, and more Practical approaches to successful implementation for existing and developing purposes and workflows, and case studies to support implementation within an organization Giving the reader a broad understanding of what patient centric sampling is and where it might be applied for existing and potential future areas, Patient Centric Blood Sampling and Quantitative Analysis is an essential resource on the subject for many different types of laboratories, areas of clinical research and healthcare, including those in pharmaceutical, clinical, and research functions.