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María Martínez - Decision support system for health continuous vigilance in industrial environments
 

María Martínez - Decision support system for health continuous vigilance in industrial environments

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Presentation of Workshop on Technology for Healthcare and Healthy Lifestyle 2011

Presentation of Workshop on Technology for Healthcare and Healthy Lifestyle 2011

Thursday 1st Dec 2011
Session II

http://www.tsb.upv.es/wths2011

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    María Martínez - Decision support system for health continuous vigilance in industrial environments María Martínez - Decision support system for health continuous vigilance in industrial environments Presentation Transcript

    • Decision Support System forHealth Continuous Vigilancein Industrial Environments María Martínez Piqueras1st December 2011
    • 1.- Decision Support System for Health ContinuousVigilance at Work. General View.2.- General Architecture.3.- Personal Health Record4.- Response Medical Center.
    • PRESENT PROBLEMS IN INDUSTRIAL ENVIRONMENTS: 160 million workers are victims of occupational accidentsand diseases every year.(International LabourOrganization) European statistics confirm that approximately 5,500people per year have fatal accidents at workplace. The occupational accidents cost a high price for theEuropean Union and affect all sectors of the economy
    • What is Fasys Project?“Absolutely safe and healthy Factory” Focused on factories of machining and assembly operations. Fasys Project wants to aim one of the most important European objectivesset for 2020: the 25% reduction in the number of industrial accidents. Fasys promotes the use of technologies. Fasys gives the principal role to the workers. Health Continuous Vigilance System.
    • 1.-Decision Support System for Health Continuous Vigilance at work. Application with a list of workers data: Environment and workers´ Workers´ personal personal data. Classification and parameters (blood priorization. medical examination. pressure, pulse, oxygen saturation, …) Destination of the informationHealth professionalsevaluation. RMC +intelligent systems fordoctors to have a medical Statisticsdecision suport. Diagnosis. (Diseases, occupational accidents,…)Personalized preventionplans. Medical and/ortechnical diagnosis. To perform the developed prevention plans.
    • 1.- Decision Support System for Health Continuous Vigilance at work. Evolution of certain personal parameters during the pass of time. Medical knowledge. Diseases: risks, medical test, medical recommendations,… Previous medical history “Photograph” of the person in a particular moment.
    • 2.- General Architecture General architecture: -a way to guarantee the connection and interoperability between the modules of the vigilance system. - Choreography of Sevicies. -Semantic layer  common exchange language - Ontologies and Reasoning Systems
    • 2.- General Architecture - Orchestration Service: - allows the use of Workflows. WORKFLOWS (Prevention Plans): Workflows describe processes in a graphical way. - graphical tools to describe processes - specify system to turn the plans into executable formats.
    • 3.- Personal Health Record EHR - Electronic HealthCare Record: • It is usually owned by the current Health System. • It is ready to be used by health professionals. • It has medical data from the point of view of the assistance process. PHR – Personal Health Record: • It has a repository of health data from the point of view of the patient/person. • It is owned by patients. • It collects health and personal data such as: habits, preferences, information about the family, customs,.. • It could have information from: a EHR summary, a summary of the health history at workplaces, genetic profile, nutritional profile… Current solution • It is used only in some comunities. • It includes a summary of the EHR, ready for patients. • Some of them allow people to introduce data monitored at home.
    • 3.- Personal Health RecordPersonal Health Record in Fasys. Main characteristics: • It is focused on workplace health. • It allows patient to introduce data (automatically or manually) • It allows an exchange of information with the healthcare system (EHR) • It is owned by workers. • It includes an option to generate summaries to share information with others PHR. • Stored Data can also be extracted for consultations in case health professionals need to do. • Worker has the option to share it with people he chooses.
    • 3.- Personal Health Record Personal Other Parameters Interoperability PHR PHR FASyS Other data Comunication(environment, Interface EHR SS machines, …) Patient Access Control Summary Fasys Repository Anonymous Data Statistical Studies
    • 3.- Personal Health RecordAdvantages of a bidirectional communication (PHR-EHR) (Factories-Health System): Health Systems can complete its data with other health information from other sources.  Optimization. Medical exams (scans, blood tests) are done only once and they are not in duplicate. From current health systems to PHR in factories and viceversa.  Save costs in order to do medical tests only once, avoiding repetitive tests.  More complete diagnosis. Health professionals have more information to do the diagnosis.  More complete information for the public statistics related to health.
    • 4.- Response Medical Center Response Medical Center.  Workers monitoring. Personal data+ environment data. Technological To organize and classify workers depending on Solution! configurable rules.  Management of events.  Routine visit. To detect trends of the workers data.
    • 4.- Response Medical Center RMCThe position in the list depends on several factors.
    • 4.- Response Medical Center RMC
    • 4.- Response Medical Center RMC
    • 4.- Response Medical Center RMC
    • 4.- Response Medical Center RMC
    • 4.- Response Medical Center RMC
    • 4.- Response Medical Center RMC
    • 4.- Response Medical Center • MANAGEMENT OF ALERTS  algorithm  Data out of the established limits (Heart Rate; Blood Pressure; weight, oxygen saturation, notifications) Routine visit with the doctor. Personalized management of the patient state: Handled, Closed, Stable and Pending Alarms related to trends of one parameter or a group of parameteres.  The possibility of introduce mathematics rules to generate alarms. Configurable!!
    • 4.- Response Medical Center Next steps- Improvements Videoconferencing (doctor-worker) • Remote vists • Continuous vigilance • Remote queries to specialists. Mobility (little version of the application) • The information will be available anywhere • Management of alerts in real time • Supervision of the processes • Diagnosis support Fasys parameters: • Room temperature • Humidity • Kind of machine
    • 4.- Response Medical Center Next steps- Improvements GOW Weartech shirt • Textile component + electronic component • ECG • Heart rate.
    • Thanks for your attention! contact: mamarpi2@itaca.upv.es