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Flextracker Health
Laercio Simoes
Anderson Pinto
Valeska Pino
30 years medical research to Predict diseases:
• Thyroid
• Diabetes
• Páncreas
• Infertility
• Depresion
• Among others.
Dr. Pilar Vigil
Catholic Church 53 countries
Chile: 2400 monitores
~120.000 woman using method
Preventive Medicine for Woman
Process
Data
Get Medical
Data
Analyzes
Diagnostic
Preventive
Treatment
Body Signals Sensors Lab Exams
Us$ 250.00
Beauty
SEXY
Buy
Private Data
Shared Data
85% Normal
15% Abnormal
10% a 15%
Problem Fertility
1973 1980 1985 1990 1995 2000 2005 2010 2015
Flextracker Could Server Database
Prediction Engine Data Integration Simulation Engine
User Defined
Algorithm
Gateway Control Server
Public Healt
Data Sets
Patients &
User
Partners SesingWeb & Mobile
Web Server DashboardsFlex Client
Market Place
Paid Free
Medical
Companies
Medical
Center
Universities
Independent
Researches
Hospitals
Patients &
User
Nutrition
Sport
Men
Tricorder
Women
Data Health
2011 2012 2013 2014 2015 2016
Computing Team
Marketing Social Media
Medical Team
Competitors
• Google, Microsoft, IBM, Philips.
• Silicon Valley Golden Rush
• Data Processing Experts.
• Patients Focus.
• Look on Health People.
• Get users on Latin America
1 2 3 4 5
Users 29K 337K 5M 16M 154M
Team Size 50 500 5K 15K 25K
Expenses $685K $6M $91M $282M $872M
Revenue $1,6M $39,3M $529M $1,232M $3,572M
Profit $969K $32,7M $437,4M $950M $2,700M
• User Payment (normally sponsored)
• Remote Support - 5% users
• Expert Support - 1% users
• Personal Report – 0,5% user
• Medical Research
• Cohort Study
Laercio Simoes - laercio@flextracker.com.br
Anderson Pontes - anderson@flextracker.com.br
Valeska Pino - valeska@flextracker.com.br
Flextracker Health
http://www.flextracker.com.br

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Flextracker geek fantasy

Notas do Editor

  1. Hola!Soy Valeska
  2. Soy alegre llena de energía!
  3. fui a muchos psiquiatras, psicólogos y tomaba pastillas antidepresivas.
  4. En la adolescencia cuando empezó mi periodo menstrual, mi ciclo era irregular, algunos meses menstruaba, otros no y yo no me daba cuenta que esto era un problema.
  5. Nos basamos en varios estudios científicos, dentro de ellos el dela doctora pilar, que con mas de 30 años de investigación comprobó que observando el ciclo ovulatorio de la mujer se pueden predecir enfermedades tales como :tiroides, diabetes, páncreas, infertilidad, depresión, entre otras.
  6. Por eso nuestro producto es Flextrackerwoman, una plataforma de medicina preventiva para la mujer.
  7. Obtención de datos proceso de datos analizar diagnostico tratamiento preventivoAlgoritmo analiza datos del ciclo ovulatorio detectando patrones de enfermedades
  8. Ya existe un mercado de comercialización de datos médicos pero no regulado y sin beneficios para los usuarios. Sabemos que la empresa IMS logro 1.75billones de dólares en un ano por la comercialización de datos médicos. Creemos que el mercado se va a autorregular en el futuro. Nosotros queremos innovar con transparencia en este mercado pidiendo autorización a los usuarios y dando beneficios para las personas
  9. El tamano de mercado es grande, ya que el 15 por ciento de la poblacion mundial de mujeres precenta un cicloovulatorio Anormal para las cuales nuestro producto podria ayudarla mucho. Y mundialmente entre el 10 al 15% de las parejas tiene problemas de fertilidad
  10. Pero nuestra principal motivación es resolver el problema del acceso a la salud a nivel mundial
  11. Nuestro objetivo es que la medicina sea accesible para todos utilizando la ultima tecnología, con una diagnostico basada en datos
  12. Esta es la arquitectura técnica del software, es una arquitectura compleja, pero construida de forma modular que permite facilmente integrar soluciones de otros actores del mercado.
  13. Peroparaesodebemosirpaso a paso, esteañoestamosdesarrollando el productoparamujer y luegodesarrollaremosotrosproductosparallegar a la solucioncompleta
  14. Esta es nuestra proyección financiera, intentamos conseguir en 5 anos mas de 150millones de usuarios, virtualmente toda persona del planeta deberia estar siendo monitoreada con una aplicación como flextracker. Creemos que existen otros actores en el mercado que van a ofrecer soluciones similares a la nuestra, el mercado de datos medicos es altamente lucrativo y esta debe ser nuestro principal fuente de ingresos.
  15. Tendremos una tarifa por cada usuario de la aplicación que normalmente sera auspiciada por alguna empresa o gobiernoSoporte remoto que le interesara a el 5% de los usuarios, en este modelo el usuario podra hablar con un monitor del area medica. El soporte con un medico experto especialista para problemas complejos. Informe personalizado es un informe detallado del analicis de los datos medicos de la persona. Investigacionfarmaceuticasera nuestra principal fuente de ingreso donde las empresas medicas van a adquirir datos para mejorar sus productos. Estudios de Cohort son utilizados para validacion de procedimientos medicos que va ser interesante para gobiernos e industria medica.