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Data and knowledge in medical distributed applications.

Alexandru Serban1, Mihaela Crişan-Vida1, Lăcrămioara Stoicu-Tivadar1

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This study designs a cloud-based clinical decision support system (CDSS) for automated patient data analysis and diagnosis. The system aims to enhance patient safety, care quality, and efficiency in healthcare delivery.

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Area of Science:

  • Medical Informatics
  • Artificial Intelligence in Healthcare
  • Clinical Decision Support Systems

Background:

  • Developing automated clinical decision support systems (CDSS) for patient data processing and diagnosis is a significant research challenge.
  • Existing systems often lack comprehensive integration of patient information, symptoms, and investigation data for accurate diagnostics.

Purpose of the Study:

  • To design a novel cloud-based CDSS to enhance patient safety, quality of care, and organizational efficiency.
  • To create a medical-based application system capable of diagnosing a wide range of diseases, prioritizing critical pathologies.

Main Methods:

  • Designing a cloud-based application utilizing a medical-based approach for disease diagnosis.
  • Collecting traditional and novel patient data through online questionnaires.
  • Implementing a dynamic feedback mechanism via questionnaires to iteratively improve system functionality and user interface based on end-user input.

Main Results:

  • The system formulates presumptive diagnoses based on collected patient data.
  • Patients are directed to appropriate medical departments post-diagnosis.
  • Continuous improvement of the CDSS interface and functionality is achieved through user feedback.

Conclusions:

  • The developed cloud-based CDSS offers a valuable tool for patients, physicians, and healthcare providers.
  • It facilitates computer-supported diagnosis of various pathologies and provides an accurate automatic differential diagnostic system.
  • The system's iterative improvement model ensures alignment with end-user needs and enhances its utility in clinical settings.