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Unleashing the Potential of Real-world Data for Learning Health Systems
"Real-World Data (RWD) are data collected as part of daily life operations that form the building blocks of modern information systems to measure quality of care continuously and consistently. Learning Health Systems (LHS) have been described as systems "at the crossroads of people and information systems, which enable virtuous learning cycles informed by evidence and actionable real-world data for meeting systems-wide, clinically oriented, and patient-relevant delivery targets". The thesis explores pillars, processes and outcomes of LHS, using RWD in a set of European comparative studies in diabetes, to identify best practices that can improve health systems performance under rapidly evolvi...
eHealth: Legal, Ethical and Governance Challenges
This publication identifies and discusses important challenges affecting eHealth in the EU and North America in the three areas of law, ethics and governance. It makes meaningful contributions to the eHealth discourse by suggesting solutions and making recommendations for good practice and potential ways forward. Legal challenges discussed include issues related to electronic medical records, telemedicine, the Internet and pharmaceutical drugs, healthcare information systems and medical liability. Ethical challenges focus on telehealth and service delivery in the home, Web 2.0 and the Internet, patient perceptions and ethical frameworks. Governance challenges focus on IT governance in healthcare, governance and decision-making in acute care hospitals, and different models of eHealth governance. The publication provides useful support materials and readings for persons active in developing current understandings of the legal, ethical and governance challenges involved in the eHealth context.
The Ethical Governance of Artificial Intelligence and Machine Learning in Healthcare
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.
NeuBiro
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Performance Measurement for Health System Improvement
In a world where there is increasing demand for the performance of health providers to be measured, there is a need for a more strategic vision of the role that performance measurement can play in securing health system improvement. This volume meets this need by presenting the opportunities and challenges associated with performance measurement in a framework that is clear and easy to understand. It examines the various levels at which health system performance is undertaken, the technical instruments and tools available, and the implications using these may have for those charged with the governance of the health system. Technical material is presented in an accessible way and is illustrated with examples from all over the world. Performance Measurement for Health System Improvement is an authoritative and practical guide for policy makers, regulators, patient groups and researchers.
List of Members
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OECD Health Policy Studies Strengthening Health Information Infrastructure for Health Care Quality Governance Good Practices, New Opportunities and Data Privacy Protection Challenges
This book, based on studies of 19 countries on the development and use of personal health data and of 25 countries on development and use of electronic health record systems, includes results showing good practices, new opportunities and data privacy protection challenges.
OECD Health Policy Studies Health Data Governance Privacy, Monitoring and Research
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.
OECD Reviews of Health Care Quality: Italy 2014 Raising Standards
This report reviews the quality of health care in Italy, seeks to highlight best practices, and provides a series of targeted assessments and recommendations for further improvements to quality of care.
