Maria de la Luz Casas-Perez on behalf of

Page created by Rebecca Webster
 
CONTINUE READING
Maria de la Luz Casas-Perez on behalf of
Maria de la Luz Casas-Perez on behalf of:
           Julieta Noguez PhD, Agustín Buendía PhD, David Escárcega PhD, José Martín Molina PhD,
Rogelio Bustamante PhD, Edgar López PhD, María Elena Meneses PhD, Enedina Ortega, PhD, David Escobar PhD
          candidate, Leonor Zapata MSc, Abel Barragán PhD, Leo Celi PhD, Eric Winkler, Kenneth Paik
Maria de la Luz Casas-Perez on behalf of
WHO: 2 billion people over 60 years old will inhabit Earth by 2050.

CSIS: share of senior citizens in Latin America will triple by 2050, with Mexico having the most elderly.

2010 census: 7 million of elderly in Mexico, expected to double in the next 15 years.
Maria de la Luz Casas-Perez on behalf of
The elderly population of Mexico:

    - Most are women in urban areas.

    - Mexico City (11%), Oaxaca (10%) and Veracruz (10%) hold the highest populations.

    - 37% lack conditions for self-employment.

    - 30% are illiterate.

    - 40% are the main providers in their homes.

    - 30% have no health insurance or are benefited by health services.

No long terms programs to cater the needs of the older population.

Social development and health sectors are unprepared for demographic change – gathering information
is a pressing necessity.
Maria de la Luz Casas-Perez on behalf of
Define, measure, and evaluate frailty to intervene with early prevention.

Foment prevention, self training, and training of health professionals and health-care givers.

The project stages are:

1) Determine the effectiveness of mobile technology to detect frailty.

2) Design and develop and intervention to achieve successful ageing.
Maria de la Luz Casas-Perez on behalf of
Non-specific state of increasing risk, which reflects multisystem psychological change.

Frailty indexes define deterioration in emotional, cognitive, and functional abilities.

Scores look for potential deficits in individuals, they are multifactorial and dynamic.

Basic index developed by Fried:

Measure signs, symptoms, and abnormalities associated to quality of life.
Maria de la Luz Casas-Perez on behalf of
Two main phenotypes:

     - Physical

     - Cognitive, Functional, and Social Circumstances

Clinical Frailty Scale:

   1--------------------------------------------------------------------------------------------------------------------------7
Very fit                                                                                                            Completely Frail

Variables = no standard operational definition.

Complementary data such as analyzing day-to-day activities improve the models or create new ones.
Maria de la Luz Casas-Perez on behalf of
For this project the extra data came in the form of the clinician’s experience on the field.

Mexican standards differ from international frailty scales if poverty and poor conditions are involved.

Said scales essentials are adjusted to: the conditions of Mexican elders and the specificities of their
quality of life.

Demographical, social, familiar, and individual conditions are included.
Maria de la Luz Casas-Perez on behalf of
Register data as fast as possible with low risk of human errors  Send specialized help immediately.

  Robust                                Pre-frail                                   Frail
Maria de la Luz Casas-Perez on behalf of
Pre-frail can be helped through:

          Nutrition                Exercise
Maria de la Luz Casas-Perez on behalf of
NO
SANA: Electronic medical       Data        Urgent               Regular
   records platform          Analytics     care?                checkup
                                                 YES

                                                                     NO
                                                              Does he/she
                              Socio-     Geriatrician
 Extraction and sending                                         require
                           demographic     session
          data                                                  follow?
                           information
                                                                     YES

  Patient
 Biometric
                                               Patient
 from first
                                             Biometric
  medical
                                              tracking
  contact

First phase                               Second phase
1. Specialized personnel measures using biometric devices. 2. Records information through mobile
devices. 3. Sends the information to the platform’s cloud or servers.

                  Sana                                                  MS Azure
                  Platform                Server                     (Sana platform)
                                     (Platform sana)

                                     IOs App                                    sociodemographic
                                                       Web app                     information
                  Mobile
                  devices                                         Tablet
                  and Web                                         Phablet
                  App                        Android              Smart Phone
                                             App                  Cell Phone
                                          Bluetooth or Wi-Fi
                                           Communications

                                               Biomet 2          Biomet 3
                   Biometric   Biomet 1                                                Biomet n
                                                digital           Digital
                   devices      Scales
                                             dynamometer          Pulser
Current biometric devices are quick, accurate, and have a low risk of making mistakes.

They can help recognize physical and physiological traits and report them in real time for analysis.

A questionnaire to accompany these measurements will reinforce the results obtained.

                                         Socio-
                                      demographic
                                      information

                                       Bio-metric
                                        devices
Technology has brought the measurement of frailty above anything seen before.

The simplest of phones have a wide variety of tools.

More accurate and objective data is readily available.
The study of frailty will involve the MIT’s SANA platform, mobile devices equipped with the proper tools,
wearable technology, geriatric information and records, and big data platforms.

All organized by the three tier architecture.
Novelty automatic biometric systems should:
    - Improve the accuracy of patient data.
    - Prevent human errors.
    - Streamline the care of elderly patients.
    - Optimize the time specialist geriatricians are available.
    - Standardize the processes of care of the elderly.

Software under development to allow mobile devices to:
    - Receive signals from biometric devices
    - Capture demographic information
    - Send information to sound platforms
    - Apply data to estimate the urgency of patient care and possible complications
Researchers from Tecnologico de Monterrey and the Massachusetts Institute of Technology wish to
provide health services to senior citizens that are deprived of them.

Seeking to take advantage of technology as:

    1. An instrument for health self-promotion.

    2. An instrument for health professionals that are trained in prevention to help geriatricians with
    their practice.
You can also read