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1.
Stud Health Technol Inform ; 228: 262-6, 2016.
Article in English | MEDLINE | ID: mdl-27577384

ABSTRACT

In University Medical Centers, heterogeneous data are generated that cannot always be clearly attributed to patient care or biomedical research. Each data set has to adhere to distinct intrinsic and operational quality standards. However, only if high-quality data, tools to work with the data, and most importantly guidelines and rules of how to work with the data are addressed adequately, an infrastructure can be sustainable. Here, we present the IT Research Architecture of the University Medical Center Göttingen and describe our ten years' experience and lessons learned with infrastructures in networked medical research.


Subject(s)
Biomedical Research , Medical Informatics , Academic Medical Centers , Biomedical Research/organization & administration , Health Information Exchange , Humans , Medical Informatics/organization & administration
2.
Neurosci Res ; 102: 22-8, 2016 Jan.
Article in English | MEDLINE | ID: mdl-25152316

ABSTRACT

The observation of growing "difficulties" in IT-infrastructures in neuroscience research during the last years led to a search for reasons and an analysis on how this phenomenon is reflected in the scientific literature. With a retrospective analysis of nine examples of multicenter research projects in the neurosciences and a literature review the observation was systematically analyzed. Results show that the rise in complexity mainly stems from two reasons: (1) more and more need for information on quality and context of research data (metadata) and (2) long-term requirements to handle the consent and identity/pseudonyms of study participants and biomaterials in relation to legal requirements. The combination of these two aspects together with very long study times and data evaluation periods are components of the subjectively perceived "difficulties". A direct consequence of this result is that big multicenter trials are becoming part of integrated research data environments and are not standing alone for themselves anymore. This drives up the resource needs regarding the IT-infrastructure in neuroscience research. In contrast to these findings, literature on this development is scarce and the problem probably underestimated.


Subject(s)
Longitudinal Studies , Medical Informatics/methods , Neurosciences/methods , Biomedical Research/methods , Humans
3.
Stud Health Technol Inform ; 216: 492-6, 2015.
Article in English | MEDLINE | ID: mdl-26262099

ABSTRACT

Although national eHealth strategies have existed now for more than a decade in many countries, they have been implemented with varying success. In Germany, the eHealth strategy so far has resulted in a roll out of electronic health cards for all citizens in the statutory health insurance, but in no clinically meaningful IT-applications. The aim of this study was to test the technical and organisation feasibility, usability, and utility of an eDischarge application embedded into a laboratory Health Telematics Infrastructure (TI). The tests embraced the exchange of eDischarge summaries based on the multiprofessional HL7 eNursing Summary standard between a municipal hospital and a nursing home. All in all, 36 transmissions of electronic discharge documents took place. They demonstrated the technical-organisation feasibility and resulted in moderate usability ratings. A comparison between eDischarge and paper-based summaries hinted at higher ratings of utility and information completeness for eDischarges. Despite problems with handling the electronic health card, the proof-of-concept for the first clinically meaningful IT-application in the German Health TI could be regarded as successful.


Subject(s)
Clinical Laboratory Information Systems/statistics & numerical data , Health Smart Cards/statistics & numerical data , Nursing Records/statistics & numerical data , Patient Discharge Summaries/statistics & numerical data , Patient Discharge/statistics & numerical data , Telemedicine/statistics & numerical data , Germany , Meaningful Use/statistics & numerical data , Medical Record Linkage/methods , Pilot Projects , Utilization Review
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