ArticleBMC medical informatics and decision making2018
Patient facing decision support system for interpretation of laboratory test results.
Article in BMC medical informatics and decision making, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
2 citing papers in PubMed, 10 citations in OpenAlex.
- Study of patients' attitude to automatic interpretation of laboratory test results and its influence on follow-up rate.BMC medical informatics and decision making · 2022Article
- Experience in Developing an FHIR Medical Data Management Platform to Provide Clinical Decision Support.International journal of environmental research and public health · 2019Article
Corrections and comments
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
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 system can be implemented to rise motivation and empower the patients who visit a laboratory service without a doctor's referral.
methodsWe have developed a clinical decision support system for patients that solves a classification task and finds a set of diagnoses for the provided laboratory tests results. The Wilson and Lankton's assessment model was applied to measure patients' acceptance of the solution.
resultsA first order predicates-based decision support system has been implemented to analyze laboratory test results and deliver reports in natural language to patients. The evaluation of the system showed a high acceptance of the decision support system and of the reports that it generates.
conclusionsDetailed notification of the laboratory service patients with elements of the decision support is significant for the laboratory data management, and for patients' empowerment and safety.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.