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Software Engineering-Inspired Approach to Prevention Healthcare
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  1. Software Engineering-Inspired Approach to Prevention Healthcare Victor Rentea, Andrei Vasilateanu, Radu Ioanitescu and Luca Dan Serbanati Faculty of Engineering Taught in Foreign Languages, Politehnica University of Bucharest, Bucharest, Romania,,,

  2. State of the art Increased health expenditures: • increasing chronic conditions, in young people • global population ageing Proposed solutions • Care coordination • Patient empowerment Patient empowerment in prevention: avoid even the start of a chronic condition

  3. Traditional approaches Existing eHealth IT systems: • focus on acute disease care • favor diagnosis and treatment of current symptoms Future eHealth systems: • Leverage of EBM data: randomized clinical trials resulting in clues on the best attitude to follow, quantified in Relative Risks (RR%) • Supporting patient empowerment • Focus on prevention and monitoring

  4. Software Engineering vs Prevention Healthcare • Many conceptual similarities: • Critical decisions based on an abstract model built within multiple iterations • Partial knowledge problems in an ever unpredictable ever-changing universe: business requirements and health state changes • Emphasize their continuous nature • Use of proven patterns and guidelines • Concern oriented approach to software analysis and design projected to health state management

  5. Conceptual System Design • Concern-oriented design • Main components • Personal Health Record (PHR) • Past and present tenses of the patient’s health state • Latest information, authoritative or not (self-gathered) • Draws data from the EHR • Avatar • Leading agent, coordinator • Interacts with the user, adapts to his personality • Tries to increase its impact on the user’s behavior • Virtual Health Assistant (VHA) • Distributed maintenance and responsibility of KBses

  6. Patient-Centric Virtual Organization

  7. Conclusion • Software Engineering aproach to prevention healthcare • Conceptual design of a concern-oriented multi-agent system for monitoring the health state and stimulating the patient empowerment • Unlike most existing agent systems, the control loop does not include any medical staff • quicker adoption, lower costs and greater scalability • Emphasis on prevention targeted at persons with no or limited symptomatology. • Detect incipient stages of an unsuspected illness • Provide alternatives to prevent its debut