2018
DOI: 10.1186/s12911-018-0648-0
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Patient facing decision support system for interpretation of laboratory test results

Abstract: BackgroundIn some healthcare systems, it is common that patients address laboratory test centers directly without a physician’s recommendation. This practice is widely spread in Russia with about 28% of patients who visiting laboratory test centers for diagnostics. This causes an issue when patients get no help from the physician in understanding the results.Computer decision support systems proved to efficiently solve a resource consuming task of interpretation of the test results. So, a decision support syst… Show more

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Cited by 7 publications
(12 citation statements)
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“…A clinical decision support system [ 15 ], which was used in the study is a patient oriented system that provides interpretations of laboratory test results (Table 1 ). The CDSS is not certified as a medical device.…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…A clinical decision support system [ 15 ], which was used in the study is a patient oriented system that provides interpretations of laboratory test results (Table 1 ). The CDSS is not certified as a medical device.…”
Section: Methodsmentioning
confidence: 99%
“…There is no certification scheme yet in Russia. The clinical validation was done and published previously [ 15 ].…”
Section: Methodsmentioning
confidence: 99%
“…A decision support function for patients has been investigated with promising results. There is high acceptance rate of patients with better patient engagement and safety [13]. LIS provides better documentation and allows possible data mining [14].…”
Section: Lis Improves Quality and Safetymentioning
confidence: 99%
“…clinical decisions [6,7]. This definition demonstrates the variety and evolution of clinical decision support from small, focused applications to large-scale platforms capable of storing and managing medical data to assist doctors and patients by delivering recommendations [8,9].To provide efficient decision support, it is necessary to integrate CDSSs in information systems routinely operated by healthcare professionals, such as hospital information systems (HIS), or by patients deploying their personal health records (PHRs) [10]. CDSSs should be able to use the semantics and the clinical context of the data that were imported from other systems and data repositories [11][12][13].Semantic interoperability becomes a key issue when it comes to communication between heterogeneous information systems [14].…”
mentioning
confidence: 99%
“…To provide efficient decision support, it is necessary to integrate CDSSs in information systems routinely operated by healthcare professionals, such as hospital information systems (HIS), or by patients deploying their personal health records (PHRs) [10]. CDSSs should be able to use the semantics and the clinical context of the data that were imported from other systems and data repositories [11][12][13].…”
mentioning
confidence: 99%