TY - GEN
T1 - The acquisition and management of healthcare data, within a hospital infrastructure
AU - Darby-Taylor, James
AU - Luís-Ferreira, Fernando
AU - Sarraipa, João
AU - Jardim-Gonçalves, Ricardo
N1 - Funding Information:
info:eu-repo/grantAgreement/EC/H2020/875358/EU#
research project CARELINK, AAL-CALL-2016-049 funded by AAL JP, and co-funded by the European Commission and National Funding Authorities of Ireland, Belgium, Portugal and Switzerland.
PY - 2021/2/16
Y1 - 2021/2/16
N2 - The quality of care provided to citizens by professionals and institutions depends on the quality and availability of information. Early commencement of treatment and medication, and the decisions on how to proceed, depend a lot on patients' data in the different modalities available. It is also important to notice that large pools of data help inform health and wellbeing parameters for the largest possible community. To make that possible it is necessary both to have the best hospital practices but also to get consent and collaboration from patients. In order to accomplish such a goal, it is necessary to use practices, which adhere to legal constraints and are transparent while handling data and also to transmit those practices and protocols to professionals and patients. The present document aims to provide a framework envisaging the seamless application of the clinical procedures, following legal guidance and making the process known, secure and trustworthy. It aims to contribute to clinical practice, and clinical research, thereby contributing to big data analysis by ensuring trust and best clinical data handling.
AB - The quality of care provided to citizens by professionals and institutions depends on the quality and availability of information. Early commencement of treatment and medication, and the decisions on how to proceed, depend a lot on patients' data in the different modalities available. It is also important to notice that large pools of data help inform health and wellbeing parameters for the largest possible community. To make that possible it is necessary both to have the best hospital practices but also to get consent and collaboration from patients. In order to accomplish such a goal, it is necessary to use practices, which adhere to legal constraints and are transparent while handling data and also to transmit those practices and protocols to professionals and patients. The present document aims to provide a framework envisaging the seamless application of the clinical procedures, following legal guidance and making the process known, secure and trustworthy. It aims to contribute to clinical practice, and clinical research, thereby contributing to big data analysis by ensuring trust and best clinical data handling.
KW - Anonymization
KW - Artificial intelligence
KW - Data protection
KW - GDPR
UR - http://www.scopus.com/inward/record.url?scp=85101252625&partnerID=8YFLogxK
U2 - 10.1115/IMECE2020-24120
DO - 10.1115/IMECE2020-24120
M3 - Conference contribution
AN - SCOPUS:85101252625
T3 - ASME International Mechanical Engineering Congress and Exposition, Proceedings (IMECE)
BT - Advanced Manufacturing
PB - ASME - The American Society of Mechanical Engineers
T2 - ASME 2020 International Mechanical Engineering Congress and Exposition, IMECE 2020
Y2 - 16 November 2020 through 19 November 2020
ER -