<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Hans H. Jung</style></author><author><style face="normal" font="default" size="100%">Franz M.J. Pfister</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Blockchain-enabled Clinical Study Consent Management</style></title><secondary-title><style face="normal" font="default" size="100%">Technology Innovation Management Review</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">AI Ethics.</style></keyword><keyword><style  face="normal" font="default" size="100%">blockchain</style></keyword><keyword><style  face="normal" font="default" size="100%">Clinical Study</style></keyword><keyword><style  face="normal" font="default" size="100%">Health Artificial Intelligence (AI)</style></keyword><keyword><style  face="normal" font="default" size="100%">Platform Business Model</style></keyword><keyword><style  face="normal" font="default" size="100%">Written Informed Consent</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2020</style></year><pub-dates><date><style  face="normal" font="default" size="100%">02/2020</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">timreview.ca/article/1325</style></url></web-urls></urls><publisher><style face="normal" font="default" size="100%">Talent First Network</style></publisher><pub-location><style face="normal" font="default" size="100%">Ottawa</style></pub-location><volume><style face="normal" font="default" size="100%">10</style></volume><pages><style face="normal" font="default" size="100%">14-24</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">Written informed consent (WIC) is required in the context of voluntary participation in a clinical trial. The trial participant gives WIC in accordance with various regulatory requirements. We present a framework concept for a blockchain-based distributed ledger solution, which aims at implementing simple and secure management of WIC documentation, along the entire data value chain from acquiring consent to academic publication, and (commercially) exploiting the results of a clinical study. This may include (but is not limited to) clinical deployment, security monitoring, and conformity with data privacy and ethical standards. Thus, we present a potential “Health AI” application that goes beyond WIC documentation, to enabling the creation of a holistic data provenance trail graph. Such a framework concept aims to create sustainable value for study participants, clinicians, data scientists, and ultimately consumers. The framework’s usefulness is relevant for ensuring the ethical development of artificial intelligence applications in the healthcare domain.</style></abstract><issue><style face="normal" font="default" size="100%">2</style></issue><custom1><style face="normal" font="default" size="100%">Munich Business School
Hans H. Jung is teaching on international marketing, digital business models and digital transformation courses as a professor at the Munich Business School. As principal, he heads the digital customer experience community at UNITY AG, a leading Management Consulting &amp; Innovation Company. His more than 100 clients include companies from agriculture, automotive, energy, consumer goods, mobility, pharmaceutical and process industries, sports, among others.
</style></custom1><custom2><style face="normal" font="default" size="100%">Independent
Franz MJ Pfister is an entrepreneur, medical doctor, and data scientist and is recognized as a leading expert at the intersection of artificial intelligence, data, digitization, and healthcare. His academic career includes medical studies at the Ludwig Maximilian University of Munich and the Harvard Medical School with a medical doctorate in neuroscience. He holds an MBA from Munich Business School and earned a Master's degree in Data Science at the LMU Munich. Franz Pfister is currently leading multiple initiatives and is building up companies in the field of Health AI, developing next-generation diagnostic solutions to improve patient care and enable personalized medicine.</style></custom2><section><style face="normal" font="default" size="100%">14</style></section></record></records></xml>