Creating Evidence From Real World Patient Digital Data
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Creating Evidence from Real World Patient Digital Data by Jane Nikles,Eric J. Daza,Suzanne McDonald,Eric Hekler,Nicholas Schork Pdf
Topic Editor Dr. Eric Daza is Senior Statistician at Clarify Health Solutions. All other Topic Editors declare no competing interests with regards to the Research Topic subject.
National Academies of Sciences, Engineering, and Medicine,Health and Medicine Division,Board on Health Sciences Policy,Forum on Drug Discovery, Development, and Translation
Author : National Academies of Sciences, Engineering, and Medicine,Health and Medicine Division,Board on Health Sciences Policy,Forum on Drug Discovery, Development, and Translation Publisher : National Academies Press Page : 103 pages File Size : 40,8 Mb Release : 2017-07-05 Category : Medical ISBN : 9780309455657
Real-World Evidence Generation and Evaluation of Therapeutics by National Academies of Sciences, Engineering, and Medicine,Health and Medicine Division,Board on Health Sciences Policy,Forum on Drug Discovery, Development, and Translation Pdf
The volume and complexity of information about individual patients is greatly increasing with use of electronic records and personal devices. Potential effects on medical product development in the context of this wealth of real-world data could be numerous and varied, ranging from the ability to determine both large-scale and patient-specific effects of treatments to the ability to assess how therapeutics affect patients' lives through measurement of lifestyle changes. In October 2016, the National Academies of Sciences, Engineering, and Medicine held a workshop to facilitate dialogue among stakeholders about the opportunities and challenges for incorporating real-world evidence into all stages in the process for the generation and evaluation of therapeutics. Participants explored unmet stakeholder needs and opportunities to generate new kinds of evidence that meet those needs. This publication summarizes the presentations and discussions from the workshop.
Author : Kelly H. Zou,Lobna A. Salem,Amrit Ray Publisher : CRC Press Page : 155 pages File Size : 46,5 Mb Release : 2022-08-03 Category : Medical ISBN : 9781000613452
Real-World Evidence in a Patient-Centric Digital Era by Kelly H. Zou,Lobna A. Salem,Amrit Ray Pdf
Real-world evidence is defined as evidence generated from real-world data outside randomized controlled trials. As scientific discoveries and methodologies continue to advance, real-world data and their companion technologies offer powerful new tools for evidence generation. Real-World Evidence in a Patient-Centric Digital Era provides perspectives, examples, and insights on the innovative application of real-world evidence to meet patient needs and improve healthcare, with a focus on the pharmaceutical industry. This book presents an overview of key analytical issues and best practices. Special attention is paid to the development, methodologies, and other salient features of the statistical and data science techniques that are customarily used to generate real-world evidence. It provides a review of key topics and emerging trends in cutting-edge data science and health innovation. Features: Provides an overview of statistical and analytic methodologies in real-world evidence to generate insights on healthcare, with a special focus on the pharmaceutical industry Examines timely topics of high relevance to industry such as bioethical considerations, regulatory standards, and compliance requirements Highlights emerging and current trends, and provides guidelines for best practices Illustrates methods through examples and use-case studies to demonstrate impact Provides guidance on software choices and digital applications for successful analytics Real-World Evidence in a Patient-Centric Digital Era will be a vital reference for medical researchers, health technology innovators, data scientists, epidemiologists, population health analysts, health economists, outcomes researchers, policymakers, and analysts in the healthcare industry.
Registries for Evaluating Patient Outcomes by Agency for Healthcare Research and Quality/AHRQ Pdf
This User’s Guide is intended to support the design, implementation, analysis, interpretation, and quality evaluation of registries created to increase understanding of patient outcomes. For the purposes of this guide, a patient registry is an organized system that uses observational study methods to collect uniform data (clinical and other) to evaluate specified outcomes for a population defined by a particular disease, condition, or exposure, and that serves one or more predetermined scientific, clinical, or policy purposes. A registry database is a file (or files) derived from the registry. Although registries can serve many purposes, this guide focuses on registries created for one or more of the following purposes: to describe the natural history of disease, to determine clinical effectiveness or cost-effectiveness of health care products and services, to measure or monitor safety and harm, and/or to measure quality of care. Registries are classified according to how their populations are defined. For example, product registries include patients who have been exposed to biopharmaceutical products or medical devices. Health services registries consist of patients who have had a common procedure, clinical encounter, or hospitalization. Disease or condition registries are defined by patients having the same diagnosis, such as cystic fibrosis or heart failure. The User’s Guide was created by researchers affiliated with AHRQ’s Effective Health Care Program, particularly those who participated in AHRQ’s DEcIDE (Developing Evidence to Inform Decisions About Effectiveness) program. Chapters were subject to multiple internal and external independent reviews.
OECD Health Policy Studies Health Data Governance Privacy, Monitoring and Research by OECD Pdf
This report identifies eight key data governance mechanisms to maximise benefits to patients and to societies from the collection, linkage and analysis of health data, and to minimise risks to both patient privacy and the security of health data.
National Academies of Sciences, Engineering, and Medicine,Health and Medicine Division,Board on Health Sciences Policy,Forum on Drug Discovery, Development, and Translation
Author : National Academies of Sciences, Engineering, and Medicine,Health and Medicine Division,Board on Health Sciences Policy,Forum on Drug Discovery, Development, and Translation Publisher : National Academies Press Page : 231 pages File Size : 54,8 Mb Release : 2019-05-05 Category : Medical ISBN : 9780309488297
Examining the Impact of Real-World Evidence on Medical Product Development by National Academies of Sciences, Engineering, and Medicine,Health and Medicine Division,Board on Health Sciences Policy,Forum on Drug Discovery, Development, and Translation Pdf
Randomized controlled trials (RCTs) have traditionally served as the gold standard for generating evidence about medical interventions. However, RCTs have inherent limitations and may not reflect the use of medical products in the real world. Additionally, RCTs are expensive, time consuming, and cannot answer all questions about a product or intervention. Evidence generated from real-world use, such as real-world evidence (RWE) may provide valuable information, alongside RCTs, to inform medical product decision making. To explore the potential for using RWE in medical product decision making, the National Academies of Sciences, Engineering, and Medicine planned a three-part workshop series. The series was designed to examine the current system of evidence generation and its limitations, to identify when and why RWE may be an appropriate type of evidence on which to base decisions, to learn from successful initiatives that have incorporated RWE, and to describe barriers that prevent RWE from being used to its full potential. This publication summarizes the discussions from the entire workshop series.
Artificial Intelligence in Healthcare by Adam Bohr,Kaveh Memarzadeh Pdf
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
Real-World Evidence in the Pharmaceutical Landscape by Sunil Dravida,Abhishek Dabral,Jugal Sharma Pdf
In Real-World Evidence in the Pharmaceutical Landscape, life science industry experts Sunil Dravida and his co-authors have developed the first comprehensive overview of its kind on Real-World Data (RWD) in the pharmaceutical industry. The authors examine the challenges and opportunities in applying real-world data along the pharmaceutical continuum, from clinical development to medical affairs, health economics and outcomes, and marketing. They address the difficulties identifying the suitable data sources, ensuring compliance with privacy, security and regulatory requirements, and the big job of translating data into Real-World Evidence (RWE) to generate meaningful insights that can improve decision making by stakeholders and measurable outcomes that can enhance people’s health and well-being. This book is a must-read for those in the pharmaceutical industry involved with RWD, which includes just about every role, as healthcare is now dominated by the need for high-quality data that can enable better decision-making. This book is especially critical for those designing and leading RWD Centers of Excellence in pharmaceutical companies and the service providers supporting the RWD ecosystem.
Author : Bruno Sepodes,Peter G. M. Mol Publisher : Frontiers Media SA Page : 270 pages File Size : 55,9 Mb Release : 2022-11-04 Category : Medical ISBN : 9782832503904
Clinical Research Informatics by Rachel Richesson,James Andrews Pdf
The purpose of the book is to provide an overview of clinical research (types), activities, and areas where informatics and IT could fit into various activities and business practices. This book will introduce and apply informatics concepts only as they have particular relevance to clinical research settings.
Medical Affairs by Kirk V. Shepard,Charlotte Kremer,Garth Sundem Pdf
Medical Affairs is one of the three strategic pillars of the pharmaceutical and MedTech industries, but while clear career paths exist for Commercial and Research and Development, there is no formal training structure for Medical Affairs professionals. Medical and scientific expertise is a prerequisite for entry into the function, and many people transitioning into Medical Affairs have advanced degrees such as PhD, MD, or PharmD. However, these clinical/scientific experts may not be especially well-versed in aspects of industry such as the drug development lifecycle, crossfunctional collaborations within industry, and digital tools that are transforming the ways Medical Affairs generates and disseminates knowledge. This primer for aspiring and early-career Medical Affairs professionals equips readers with the baseline skills and understanding to excel across roles. Features: Defines the purpose and value of Medical Affairs and provides clear career paths for scientific experts seeking their place within the pharmaceutical and MedTech industries. Provides guideance and baseline competencies for roles within Medical Affairs including Medical Communications, Evidence Generation, Field Medical, Compliance, and many others. Specifies the "true north" of the Medical Affairs profession as ensuring patients receive maximum benefit from industry innovations including drugs, diagnostics and devices. Presents the purpose and specific roles of Medical Affairs roles across organization types including biotechs, small/medium/large pharma and device/diagnostic companies, taking into account adjustments in the practic of Medical Affairs to meet the needs of developing fields such as rare disease and gene therapy. Leverages the expertise of over 60 Medical Affairs leaders across companies, representing the first unified, global understanding of the Medical Affairs profession.
Real-World Evidence in Drug Development and Evaluation by Harry Yang,Binbing Yu Pdf
Real-world evidence (RWE) has been at the forefront of pharmaceutical innovations. It plays an important role in transforming drug development from a process aimed at meeting regulatory expectations to an operating model that leverages data from disparate sources to aid business, regulatory, and healthcare decision making. Despite its many benefits, there is no single book systematically covering the latest development in the field. Written specifically for pharmaceutical practitioners, Real-World Evidence in Drug Development and Evaluation, presents a wide range of RWE applications throughout the lifecycle of drug product development. With contributions from experienced researchers in the pharmaceutical industry, the book discusses at length RWE opportunities, challenges, and solutions. Features Provides the first book and a single source of information on RWE in drug development Covers a broad array of topics on outcomes- and value-based RWE assessments Demonstrates proper Bayesian application and causal inference for real-world data (RWD) Presents real-world use cases to illustrate the use of advanced analytics and statistical methods to generate insights Offers a balanced discussion of practical RWE issues at hand and technical solutions suitable for practitioners with limited data science expertise
Institute of Medicine,Board on Health Sciences Policy,Committee on Strategies for Responsible Sharing of Clinical Trial Data
Author : Institute of Medicine,Board on Health Sciences Policy,Committee on Strategies for Responsible Sharing of Clinical Trial Data Publisher : National Academies Press Page : 304 pages File Size : 49,5 Mb Release : 2015-04-20 Category : Medical ISBN : 9780309316323
Sharing Clinical Trial Data by Institute of Medicine,Board on Health Sciences Policy,Committee on Strategies for Responsible Sharing of Clinical Trial Data Pdf
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.
Roadmap to Successful Digital Health Ecosystems by Evelyn Hovenga,Heather Grain Pdf
Roadmap to Successful Digital Health Ecosystems: A Global Perspective presents evidence-based solutions found on adopting open platforms, standard information models, technology neutral data repositories, and computable clinical data and knowledge (ontologies, terminologies, content models, process models, and guidelines), resulting in improved patient, organizational, and global health outcomes. The book helps engaging countries and stakeholders take action and commit to a digital health strategy, create a global environment and processes that will facilitate and induce collaboration, develop processes for monitoring and evaluating national digital health strategies, and enable learnings to be shared in support of WHO’s global strategy for digital health. The book explains different perspectives and local environments for digital health implementation, including data/information and technology governance, secondary data use, need for effective data interpretation, costly adverse events, models of care, HR management, workforce planning, system connectivity, data sharing and linking, small and big data, change management, and future vision. All proposed solutions are based on real-world scientific, social, and political evidence. Provides a roadmap, based on examples already in place, to develop and implement digital health systems on a large-scale that are easily reproducible in different environments Addresses World Health Organization (WHO)-identified research gaps associated with the feasibility and effectiveness of various digital health interventions Helps readers improve future decision-making within a digital environment by detailing insights into the complexities of the health system Presents evidence from real-world case studies from multiple countries to discuss new skills that suit new paradigms
Real-World Evidence in Drug Development and Evaluation by Harry Yang,Binbing Yu Pdf
Real-world evidence (RWE) has been at the forefront of pharmaceutical innovations. It plays an important role in transforming drug development from a process aimed at meeting regulatory expectations to an operating model that leverages data from disparate sources to aid business, regulatory, and healthcare decision making. Despite its many benefits, there is no single book systematically covering the latest development in the field. Written specifically for pharmaceutical practitioners, Real-World Evidence in Drug Development and Evaluation, presents a wide range of RWE applications throughout the lifecycle of drug product development. With contributions from experienced researchers in the pharmaceutical industry, the book discusses at length RWE opportunities, challenges, and solutions. Features Provides the first book and a single source of information on RWE in drug development Covers a broad array of topics on outcomes- and value-based RWE assessments Demonstrates proper Bayesian application and causal inference for real-world data (RWD) Presents real-world use cases to illustrate the use of advanced analytics and statistical methods to generate insights Offers a balanced discussion of practical RWE issues at hand and technical solutions suitable for practitioners with limited data science expertise
