Triggering Clinical Decision Support Systems Alerts at the Point of Care
Gitanjali.K1, S. Thenmalar2
1Gitanjali. K, Computer Science and Engineering, SRM Institute of Science and Technology, Chennai, (Tamil Nadu), India.
2Dr. S. Thenmalar, Computer Science and Engineering, SRM Institute of Science and Technology, Chennai, (Tamil Nadu), India.
Manuscript received on 02 June 2019 | Revised Manuscript received on 10 June 2019 | Manuscript published on 30 June 2019 | PP: 1233-1237 | Volume-8 Issue-8, June 2019 | Retrieval Number: H6975068819/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Clinical decision support system (CDSS) is a software, that assists physicians with clinical decision support (CDS). The CDS alerts can be designed as rules using various health information technology codes and computerised guidelines. Many CDS systems do not abide by the FHIR structure or work with an older version of FHIR. Also, most CDS systems do not have a module that is able to extract information from free text areas (like patient notes). We propose a CDSS alerts system that adheres to the FHIR standards, and use three techniques (if-then conditions, SVM, and Logistic Regression) to extract free text from the patient notes and compare them to see which performs better. Amongst the three methods, Logistic Regression performs the best with an accuracy using cross validation method was 0.97.
Keyword: Clinical Decision Support System, Clinical Decision System, FHIR.
Scope of the Article: Software Engineering Decision Support.