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Shahmoradi, L., Salimi, A., Mohammadzadeh, N., gholamzadeh, M. (2020). Designing and Evaluating a Decision Support System on Childhood Leukemia to Improve Medication Management. Shahid Sadoughi University of Medical Sciences- Journal Management System, 1(1), 1-10. doi: 10.18502/ahit.v1i1.5253
Leila Shahmoradi; Asieh Salimi; Niloofar Mohammadzadeh; Marsa gholamzadeh. "Designing and Evaluating a Decision Support System on Childhood Leukemia to Improve Medication Management". Shahid Sadoughi University of Medical Sciences- Journal Management System, 1, 1, 2020, 1-10. doi: 10.18502/ahit.v1i1.5253
Shahmoradi, L., Salimi, A., Mohammadzadeh, N., gholamzadeh, M. (2020). 'Designing and Evaluating a Decision Support System on Childhood Leukemia to Improve Medication Management', Shahid Sadoughi University of Medical Sciences- Journal Management System, 1(1), pp. 1-10. doi: 10.18502/ahit.v1i1.5253
Shahmoradi, L., Salimi, A., Mohammadzadeh, N., gholamzadeh, M. Designing and Evaluating a Decision Support System on Childhood Leukemia to Improve Medication Management. Shahid Sadoughi University of Medical Sciences- Journal Management System, 2020; 1(1): 1-10. doi: 10.18502/ahit.v1i1.5253

Designing and Evaluating a Decision Support System on Childhood Leukemia to Improve Medication Management

Applied Health Information Technology
Article 1, Volume 1, Issue 1, November and December 2020, Pages 1-10    PDF (689.25 K)
Document Type: original research
DOI: 10.18502/ahit.v1i1.5253
Authors
Leila Shahmoradi1; Asieh Salimi* 2; Niloofar Mohammadzadeh3; Marsa gholamzadeh* 4
1Ph.D. in Health Information Management, Halal Research Center of IRI, FDA, Tehran, Iran. Department of Health Information Management, School of Allied-Health, Tehran University of Medical Sciences, Tehran, Iran.
2M.Sc. in Health Information Technology, Department of Health Information Management, School of Allied Medical Sciences, Tehran University of Medical Sciences, Tehran, Iran.
3Ph.D. in Health Information Management, Department of Health Information Management, School of Allied-Health, Tehran University of Medical Sciences, Tehran, Iran.
4Ph.D. in Medical Informatics, Department of Health Information Management, School of Allied Medical Sciences, Tehran University of Medical Sciences; Tehran, Iran.
Abstract
Aim: To design, develop, and evaluate a clinical decision support system (CDSS) to decrease the adverse effects of treatment in Childhood Leukemia.
Method: To achieve high accuracy, a knowledge base CDSS was designed based on the viewpoints provided by experts and clinical references. The system has the capability of medical report documentation, drug prescription, dosage determination, and displaying patients’ medical history. It is also able to eliminate the problems caused by prescription and drug dosage errors by considering the patient’s status.
Results: By documenting the patients’ medical report, the system can provide comprehensive information and precise recommendations about the future readmission and drug dosage accuracy. The system achieved 94.5% sensitivity, 93% accuracy, and 80% specificity in the evaluation phase.
Conclusion: Application of such systems in the process of prescribing drugs can improve the quality of patient care by reducing the probability of pharmaceutical errors.
Keywords
Leukemia; Medication; Decision support system; Pediatrics
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