This is the data-driven evaluation tool for making solutions for the theme "Reduce sudden cardiac death."
The point to solve problems is to understand problem accurately and find critical perspective.
In this simulator, you can predict how many people you can save or rehabilitate in Japan, with playing with the dataset of multiple indicators such as the numbers of sudden heart attack, discovery rate by citizen, executing rate of cardiopulmonary resuscitation (CPR), executing rate of AED and how long it takes by CPR since sudden heart attack occurs.
Why don’t you think which indicator you should change to solve problem.
Solve Social Issues, Smartly.
|The number of sudden heart attack||The number of people rushed to the hospital by Cardiogenic CardioPulmonary Arrest in Japan in 2014.
ACTION>>Decrease the number of those who suffered Cardiogenic CardioPulmonary Arrest with preventive medicine.
|Discovery rate by citizens||The percentages of the case citizens discovered patients when sudden heart attack happened.
ACTION>>When sudden heart attack happens, make people realize it.
|Executing rate of cardiopulmonary resuscitation (CPR)||In the case above, how many case people execute cardiopulmonary resuscitation (CPR)
ACTION>>Educate people to CPR.
|Executing rate of AED||In the case above, how many case people execute AED
ACTION>>Educate people to AED.
|How long it takes by CPR since sudden heart attack occurs (the percentage of CPR within ten minutes)||The percentage of the case CPR was executed within ten minutes after sudden heart attack.
ACTION>>Make the arrival of rescue earlier.
Saved inochi = How many people will be saved if you change the values of the indicators.
Rehabilitated inochi = How many poeple will be rehbilitated if you change the values of the indicators.
*rehabilitated ： OPC/CPC = 1 or 2
*How to calculate ： Saved inochi & Rehabilitated inochi are calculated with the values of saving rate and rehabilitation rate in the cases CPR is done and AED is used