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Master Thesis

Des recommandations de bonne pratique clinique au système d'aide à la prescription d'application mobile : traduction informatique des recommandations de dix pathologies prévalentes en médecine générale

Abstract : Introduction: current general medicine is based on evidence based medicine, one of the fundamental pillars of which is: recommendations for good clinical practice. These are not always easy to apply and use by the general practitioner. The latter must deal with requests for advice on the use of new digital health tools (connected objects, mobile health application). E-health tools such as decision support systems could be an answer to these issues. The ApiApps project aims to develop a system to help prescribe mobile health applications adapted to the patient's profile. Our work is included in this project and aimed to translate the health recommendations of ten pathologies prevalent in general medicine from a textual format to a computer format for use in current practice in business software. And as a secondary objective a description of these computer rules. Method: ten pathologies were selected from prevalence studies in general medicine. Eleven French-speaking recommendations were analyzed. The rules were taken from the recommendations by two independent experts. A target (patient or doctor), a theme (selected from among the Q-Codes), a level of certainty and a level of proof have been assigned to each rule. Disagreements between the two experts were resolved by consensus. The relevance of the rules within the framework of the ApiApps project was determined at the end of the analysis. Results: 656 rules were established, 57% with a “doctor” target and 43% “patients”. The rules are mainly classified in the “prescribing behavior” category at 36% followed by the “patient knowledge category” and “clinical competence” 21% each. 70 were selected as relevant for the ApiAppS project, such as the rule: If "type 2 diabetes" THEN "monitoring blood sugar" which would trigger a proposal to prescribe a blood glucose monitoring application. The most frequent themes of these ApiApps rules were self-care (64%), health education (23%) and patient knowledge (17%). Conclusion: this work illustrates the need for the next recommendations to also include their transcription in the form of a computer rule that can be directly used in information and decision support systems. It also raises the question of the development of recommendations for the patient and the place of his knowledge.
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Master Thesis
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https://dumas.ccsd.cnrs.fr/dumas-03451901
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Submitted on : Friday, November 26, 2021 - 4:37:10 PM
Last modification on : Thursday, December 16, 2021 - 3:44:30 AM
Long-term archiving on: : Sunday, February 27, 2022 - 7:53:44 PM

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  • HAL Id : dumas-03451901, version 1

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Victor van Vynckt, Pierre Chantrelle. Des recommandations de bonne pratique clinique au système d'aide à la prescription d'application mobile : traduction informatique des recommandations de dix pathologies prévalentes en médecine générale. Médecine humaine et pathologie. 2021. ⟨dumas-03451901⟩

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