Zobrazeno 1 - 10
of 38
pro vyhledávání: '"Björn, Schreiweis"'
Publikováno v:
Computational and Structural Biotechnology Journal, Vol 24, Iss , Pp 434-450 (2024)
A medical data integration center integrates a large volume of medical images from clinical departments, including X-rays, CT scans, and MRI scans. Ideally, all images should be indexed appropriately with standard clinical terms. However, some images
Externí odkaz:
https://doaj.org/article/6400153cf19049d7ae9e5786313089b0
Publikováno v:
Journal of Medical Internet Research, Vol 25, p e41344 (2023)
BackgroundIn patient care, data are historically generated and stored in heterogeneous databases that are domain specific and often noninteroperable or isolated. As the amount of health data increases, the number of isolated data silos is also expect
Externí odkaz:
https://doaj.org/article/b6ed8bff4da147839a96161ac47627b6
Autor:
Raffael Bild, Martin Bialke, Karoline Buckow, Thomas Ganslandt, Kristina Ihrig, Roland Jahns, Angela Merzweiler, Sybille Roschka, Björn Schreiweis, Sebastian Stäubert, Sven Zenker, Fabian Prasser
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 20, Iss 1, Pp 1-9 (2020)
Abstract Background The aim of the German Medical Informatics Initiative is to establish a national infrastructure for integrating and sharing health data. To this, Data Integration Centers are set up at university medical centers, which address data
Externí odkaz:
https://doaj.org/article/c5bfc942fb6f4a30be42c7065544b1ba
Publikováno v:
JMIR Formative Research, Vol 5, Iss 9, p e13790 (2021)
BackgroundClinical trials constitute an important pillar in medical research. It is beneficial to support recruitment for clinical trials using software tools, so-called patient recruitment support systems; however, such information technology system
Externí odkaz:
https://doaj.org/article/eacac4db876645d5a39961cb5d8d0294
Publikováno v:
Caring is Sharing – Exploiting the Value in Data for Health and Innovation ISBN: 9781643683881
The use and shareability of Clinical Quality Language (CQL) artefacts is an important aspect in enabling the exchange and interoperability of clinical data to support both clinical decisions and research in the medical informatics field. This paper,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3cb8c2e8e36b39b6b32fa7b60690d7ee
https://doi.org/10.3233/shti230201
https://doi.org/10.3233/shti230201
Publikováno v:
Studies in Health Technology and Informatics ISBN: 9781643683485
Improving the interoperability of healthcare information systems is a crucial clinical care issue involving disparate but coexisting information systems. However, healthcare organizations are also facing the dilemma of choosing the right ETL tool and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0b86b4693da6cb4aa0c4a80afc8a1b2b
https://doi.org/10.3233/shti220974
https://doi.org/10.3233/shti220974
Publikováno v:
Studies in health technology and informatics. 299
Improving the interoperability of healthcare information systems is a crucial clinical care issue involving disparate but coexisting information systems. However, healthcare organizations are also facing the dilemma of choosing the right ETL tool and
Publikováno v:
Studies in health technology and informatics. 298
Interoperability and portability of healthcare data to enable research in the healthcare sector is an important factor towards precision medicine and a learning health system. With many safety-nets put in place like the European General Data Protecti
Interoperability and portability of healthcare data to enable research in the healthcare sector is an important factor towards precision medicine and a learning health system. With many safety-nets put in place like the European General Data Protecti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b9aca37839b65c37952cee0e8e10442c
https://doi.org/10.3233/shti220921
https://doi.org/10.3233/shti220921
BACKGROUND In patient care, data are historically generated and stored in heterogeneous databases that are domain specific and are often non-interoperable or isolated. As the amount of health data increases, the number of isolated data silos is also
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::40125fd3c3aadfb68111cc98abc8fc2e
https://doi.org/10.2196/preprints.41344
https://doi.org/10.2196/preprints.41344