Studies in health technology and informatics
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Stud Health Technol Inform · Jan 2013
Functional requirements for a central research imaging data repository.
The current situation at many university medical centers regarding the management of biomedical research imaging data leaves much to be desired. In contrast to the recommendations of the German Research Foundation (DFG) and the German Council of Sciences and Humanities regarding the professional management of research data, there are commonly many individual data pools for research data in each institute and the management remains the responsibility of the researcher. ⋯ In this paper, we developed a scenario based on abstracted use-cases for institutional research undertakings as well as collaborative biomedical research projects and analyzed the functional requirements that a local repository would have to fulfill. We determined eight generic categories of functional requirements, which can be viewed as a basic guideline for the minimum functionality of a central repository for biomedical research imaging data.
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Stud Health Technol Inform · Jan 2013
A domain-based approach for retrieving trustworthy health videos from YouTube.
Health information retrieval and YouTube can be used as powerful tools to improve user's health knowledge. However, YouTube videos must be carefully analysed in order to avoid misleading, inaccurate, obsolete and incorrect health content. ⋯ Video and channel metadata are used to automatically determine if a video is provided by a trusted source. The approach is tested and results show that the amount of relevant and reliable videos ranked within top-10 increase when using Domain-based ranking, compared with the original YouTube ranking.
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Stud Health Technol Inform · Jan 2013
Comparative StudyAre smartphones comparable to laptops for image diagnosis in teleophthalmology?
To assess the reliability and accuracy of smartphones in diagnosing transmitted fundus images in comparison with a laptop. ⋯ Smartphones are as effective as the laptop in diagnosing fundus pathologies and hold promise for teleophthalmology in future.
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Stud Health Technol Inform · Jan 2013
Clinical decision support systems: data quality management and governance.
This chapter examines data quality management (DQM) and information governance (IG) of electronic decision support (EDS) systems so that they are safe and fit for use by clinicians and patients and their carers. This is consistent with the ISO definition of data quality as being fit for purpose. ⋯ It must also include protocols and mechanisms to monitor the safety of EDS, which will feedback into DQM & IG activities. Ultimately, DQM & IG must be integrated across the data cycle to ensure that the EDS systems provide guidance that leads to safe and effective clinical decisions and care.
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Stud Health Technol Inform · Jan 2013
Automatic system testing of a decision support system for insulin dosing using Google Android.
Hyperglycaemia in hospitalized patients is a common and costly health care problem. The GlucoTab system is a mobile workflow and decision support system, aiming to facilitate efficient and safe glycemic control of non-critically ill patients. Being a medical device, the GlucoTab requires extensive and reproducible testing. ⋯ In 144 data points (12.1%), calculation errors of physicians and nurses in the PBCT were detected. The test framework was able to verify manual calculation of insulin doses and detect relatively many user errors and workflow anomalies in the PBCT data. This shows the high potential of the electronic decision support application to improve safety of implementation of an insulin titration protocol and workflow management system in clinical wards.