Patient Focused Network Integration In Biopharma
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Author | : Robert Handfield |
Publisher | : CRC Press |
Total Pages | : 201 |
Release | : 2018-10-08 |
Genre | : Business & Economics |
ISBN | : 1482218984 |
The biopharmaceutical industry as we know it today is going through a massive upheaval as a result of the uncertainty of healthcare reform and increasing regulatory pricing pressure. A wake-up call to all sectors of the healthcare value chain, Patient-Focused Network Integration in BioPharma: Strategic Imperatives for the Years Ahead explores patient-focused network integration as quite possibly the only way for organizational evolution to occur. The book discusses how to align enterprises with the patient at the center. It details the historical context of the biopharmaceutical value chain and the current set of challenges facing the industry, and then details the author’s unique and sustainable agenda for change. The book traces the critical but often ignored relationships between hospitals, insurance companies, biopharma manufacturers, government regulators, and clinical scientists. For too long, these parties have been operating in a void, without recognizing the interconnectedness of their objectives, even though these objectives are often competing and misaligned. This book points out the gaps that exist and develops a set of recommendations regarding disease treatments, clinical development of new products, and collaboration between these players that can result in a sustainable solution to the healthcare mess. Each chapter can be viewed as an independent essay, in that it deals with a specific dimension of the healthcare value chain. However, together they provide an integrated discussion on how to begin the task of creating an integrated value chain network for healthcare. The book begins with the patient, and then works its way back down the value chain, all the way to the drug development and clinical trials stage of the value chain. The common thread throughout the chapters is the emphasis on collaboration, strategic alignment, and a focus on delivering value to the end patient. Very simply, all parties in the healthcare value chain network must align their strategic planning to derive innovation solutions. It is only through true collaboration and aligned thinking that the parties in the drug development, distribution, insurance payors, and hospital provider network can deal with the incredible complexity and massive challenges that face the industry. The book provides a compelling maturity model that enables readers to gauge the level of network integration their enterprise is at today, and where they need to move in the future.
Author | : Robert Handfield |
Publisher | : CRC Press |
Total Pages | : 275 |
Release | : 2012-06-06 |
Genre | : Business & Economics |
ISBN | : 1466568046 |
A comprehensive exploration of the massive changes in the biopharmaceutical supply chain that have occurred during the past 10 years, and predicted future trends, Biopharmaceutical Supply Chains: Distribution, Regulatory, Systems and Structural Changes Ahead documents the specific impacts of these changes for key players in the supply chain. Based
Author | : National Academies of Sciences, Engineering, and Medicine |
Publisher | : National Academies Press |
Total Pages | : 69 |
Release | : 2019-04-05 |
Genre | : Medical |
ISBN | : 0309487811 |
On July 30-31, 2018, the National Academies of Sciences, Engineering, and Medicine held a workshop titled Continuous Manufacturing for the Modernization of Pharmaceutical Production. This workshop discussed the business and regulatory concerns associated with adopting continuous manufacturing techniques to produce biologics such as enzymes, monoclonal antibodies, and vaccines. The participants also discussed specific challenges for integration across the manufacturing system, including upstream and downstream processes, analytical techniques, and drug product development. The workshop addressed these challenges broadly across the biologics domain but focused particularly on drug categories of greatest FDA and industrial interest such as monoclonal antibodies and vaccines. This publication summarizes the presentations and discussions from the workshop.
Author | : Institute of Medicine |
Publisher | : National Academies Press |
Total Pages | : 354 |
Release | : 2012-09-13 |
Genre | : Science |
ISBN | : 0309224187 |
Technologies collectively called omics enable simultaneous measurement of an enormous number of biomolecules; for example, genomics investigates thousands of DNA sequences, and proteomics examines large numbers of proteins. Scientists are using these technologies to develop innovative tests to detect disease and to predict a patient's likelihood of responding to specific drugs. Following a recent case involving premature use of omics-based tests in cancer clinical trials at Duke University, the NCI requested that the IOM establish a committee to recommend ways to strengthen omics-based test development and evaluation. This report identifies best practices to enhance development, evaluation, and translation of omics-based tests while simultaneously reinforcing steps to ensure that these tests are appropriately assessed for scientific validity before they are used to guide patient treatment in clinical trials.
Author | : Adam Bohr |
Publisher | : Academic Press |
Total Pages | : 385 |
Release | : 2020-06-21 |
Genre | : Computers |
ISBN | : 0128184396 |
Artificial Intelligence (AI) in Healthcare is more than a comprehensive introduction to artificial intelligence as a tool in the generation and analysis of healthcare data. The book is split into two sections where the first section describes the current healthcare challenges and the rise of AI in this arena. The ten following chapters are written by specialists in each area, covering the whole healthcare ecosystem. First, the AI applications in drug design and drug development are presented followed by its applications in the field of cancer diagnostics, treatment and medical imaging. Subsequently, the application of AI in medical devices and surgery are covered as well as remote patient monitoring. Finally, the book dives into the topics of security, privacy, information sharing, health insurances and legal aspects of AI in healthcare. Highlights different data techniques in healthcare data analysis, including machine learning and data mining Illustrates different applications and challenges across the design, implementation and management of intelligent systems and healthcare data networks Includes applications and case studies across all areas of AI in healthcare data
Author | : Lawton R. Burns |
Publisher | : Cambridge University Press |
Total Pages | : 400 |
Release | : 2005-08-25 |
Genre | : Business & Economics |
ISBN | : 9780521838986 |
The first wide-ranging analysis of business trends in the manufacturing segment of the health care industry.
Author | : Institute of Medicine |
Publisher | : National Academies Press |
Total Pages | : 334 |
Release | : 2009-03-24 |
Genre | : Computers |
ISBN | : 0309124999 |
In the realm of health care, privacy protections are needed to preserve patients' dignity and prevent possible harms. Ten years ago, to address these concerns as well as set guidelines for ethical health research, Congress called for a set of federal standards now known as the HIPAA Privacy Rule. In its 2009 report, Beyond the HIPAA Privacy Rule: Enhancing Privacy, Improving Health Through Research, the Institute of Medicine's Committee on Health Research and the Privacy of Health Information concludes that the HIPAA Privacy Rule does not protect privacy as well as it should, and that it impedes important health research.
Author | : David Edward Marcinko |
Publisher | : CRC Press |
Total Pages | : 417 |
Release | : 2012-07-06 |
Genre | : Medical |
ISBN | : 1439879907 |
Drawing on the expertise of decision-making professionals, leaders, and managers in health care organizations, Hospitals & Health Care Organizations: Management Strategies, Operational Techniques, Tools, Templates, and Case Studies addresses decreasing revenues, increasing costs, and growing consumer expectations in today’s increasingly competitive health care market. Offering practical experience and applied operating vision, the authors integrate Lean managerial applications, and regulatory perspectives with real-world case studies, models, reports, charts, tables, diagrams, and sample contracts. The result is an integration of post PP-ACA market competition insight with Lean management and operational strategies vital to all health care administrators, comptrollers, and physician executives. The text is divided into three sections: Managerial Fundamentals Policy and Procedures Strategies and Execution Using an engaging style, the book is filled with authoritative guidance, practical health care–centered discussions, templates, checklists, and clinical examples to provide you with the tools to build a clinically efficient system. Its wide-ranging coverage includes hard-to-find topics such as hospital inventory management, capital formation, and revenue cycle enhancement. Health care leadership, governance, and compliance practices like OSHA, HIPAA, Sarbanes–Oxley, and emerging ACO model policies are included. Health 2.0 information technologies, EMRs, CPOEs, and social media collaboration are also covered, as are 5S, Six Sigma, and other logistical enhancing flow-through principles. The result is a must-have, "how-to" book for all industry participants.
Author | : Pieter Kubben |
Publisher | : Springer |
Total Pages | : 219 |
Release | : 2018-12-21 |
Genre | : Medical |
ISBN | : 3319997130 |
This open access book comprehensively covers the fundamentals of clinical data science, focusing on data collection, modelling and clinical applications. Topics covered in the first section on data collection include: data sources, data at scale (big data), data stewardship (FAIR data) and related privacy concerns. Aspects of predictive modelling using techniques such as classification, regression or clustering, and prediction model validation will be covered in the second section. The third section covers aspects of (mobile) clinical decision support systems, operational excellence and value-based healthcare. Fundamentals of Clinical Data Science is an essential resource for healthcare professionals and IT consultants intending to develop and refine their skills in personalized medicine, using solutions based on large datasets from electronic health records or telemonitoring programmes. The book’s promise is “no math, no code”and will explain the topics in a style that is optimized for a healthcare audience.
Author | : Institute of Medicine |
Publisher | : National Academies Press |
Total Pages | : 236 |
Release | : 2015-04-20 |
Genre | : Medical |
ISBN | : 0309316324 |
Data sharing can accelerate new discoveries by avoiding duplicative trials, stimulating new ideas for research, and enabling the maximal scientific knowledge and benefits to be gained from the efforts of clinical trial participants and investigators. At the same time, sharing clinical trial data presents risks, burdens, and challenges. These include the need to protect the privacy and honor the consent of clinical trial participants; safeguard the legitimate economic interests of sponsors; and guard against invalid secondary analyses, which could undermine trust in clinical trials or otherwise harm public health. Sharing Clinical Trial Data presents activities and strategies for the responsible sharing of clinical trial data. With the goal of increasing scientific knowledge to lead to better therapies for patients, this book identifies guiding principles and makes recommendations to maximize the benefits and minimize risks. This report offers guidance on the types of clinical trial data available at different points in the process, the points in the process at which each type of data should be shared, methods for sharing data, what groups should have access to data, and future knowledge and infrastructure needs. Responsible sharing of clinical trial data will allow other investigators to replicate published findings and carry out additional analyses, strengthen the evidence base for regulatory and clinical decisions, and increase the scientific knowledge gained from investments by the funders of clinical trials. The recommendations of Sharing Clinical Trial Data will be useful both now and well into the future as improved sharing of data leads to a stronger evidence base for treatment. This book will be of interest to stakeholders across the spectrum of research-from funders, to researchers, to journals, to physicians, and ultimately, to patients.