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Decision Support System for Health Continuous Vigilance in Industrial Environments María Martínez Piqueras 1 st December 2011

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Presentation of Workshop on Technology for Healthcare and Healthy Lifestyle 2011Thursday 1st Dec 2011Session IIhttp://www.tsb.upv.es/wths2011

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Page 1: María Martínez - Decision support system for health continuous vigilance in industrial environments

Decision Support System for Health Continuous Vigilance in Industrial Environments

María Martínez Piqueras

1st December 2011

Page 2: María Martínez - Decision support system for health continuous vigilance in industrial environments

1.- Decision Support System for Health Continuous Vigilance at Work. General View. 2.- General Architecture. 3.- Personal Health Record 4.- Response Medical Center.

Page 3: María Martínez - Decision support system for health continuous vigilance in industrial environments

PRESENT PROBLEMS IN INDUSTRIAL ENVIRONMENTS:

160 million workers are victims of occupational accidents and diseases every year.(International Labour Organization)

European statistics confirm that approximately 5,500 people per year have fatal accidents at workplace.

The occupational accidents cost a high price for the European Union and affect all sectors of the economy

Page 4: María Martínez - Decision support system for health continuous vigilance in industrial environments

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 objectives set 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.

Page 5: María Martínez - Decision support system for health continuous vigilance in industrial environments
Page 6: María Martínez - Decision support system for health continuous vigilance in industrial environments

1.-Decision Support System for Health Continuous Vigilance at work.

Workers´ personal parameters (blood pressure, pulse, oxygen saturation, …)

Application with a list of workers data: Environment and workers´ personal data. Classification and priorization. medical examination.

Health professionals evaluation. RMC + intelligent systems for doctors to have a medical decision suport. Diagnosis.

To perform the developed prevention plans.

Personalized prevention plans. Medical and/or technical diagnosis.

Statistics (Diseases, occupational accidents,…)

Destination of the information

Page 7: María Martínez - Decision support system for health continuous vigilance in industrial environments

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.

Page 8: María Martínez - Decision support system for health continuous vigilance in industrial environments
Page 9: María Martínez - Decision support system for health continuous vigilance in industrial environments

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

Page 10: María Martínez - Decision support system for health continuous vigilance in industrial environments

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.

Page 11: María Martínez - Decision support system for health continuous vigilance in industrial environments
Page 12: María Martínez - Decision support system for health continuous vigilance in industrial environments

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.

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3.- Personal Health Record

Personal 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.

Page 14: María Martínez - Decision support system for health continuous vigilance in industrial environments

3.- Personal Health Record

Personal Parameters

Other data (environment, machines, …)

PHR FASyS

Other PHR

Fasys Repository

EHR SS

Interoperability

Anonymous Data

Statistical Studies

Patient Summary

Access Control

Comunication Interface

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3.- Personal Health Record

Advantages 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.

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4.- Response Medical Center

Response Medical Center. Workers monitoring. Personal data+ environment data. To organize and classify workers depending on configurable rules.

Management of events.

Routine visit.

To detect trends of the workers data.

Technological Solution!

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4.- Response Medical Center

RMC

The position in the list depends on several factors.

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4.- Response Medical Center

RMC

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4.- Response Medical Center

RMC

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4.- Response Medical Center

RMC

Page 22: María Martínez - Decision support system for health continuous vigilance in industrial environments

4.- Response Medical Center

RMC

Page 23: María Martínez - Decision support system for health continuous vigilance in industrial environments

4.- Response Medical Center

RMC

Page 24: María Martínez - Decision support system for health continuous vigilance in industrial environments

4.- Response Medical Center

RMC

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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!!

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4.- Response Medical Center

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

Next steps- Improvements

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4.- Response Medical Center

GOW Weartech shirt • Textile component + electronic component • ECG • Heart rate.

Next steps- Improvements

Page 28: María Martínez - Decision support system for health continuous vigilance in industrial environments

Thanks for your attention!

contact: [email protected]