At ROOK, we continually strive to enhance our API's ability to deliver meaningful and actionable health data. In line with this commitment, we are pleased to announce the release of ROOKScore 1.5, a significant update to our readiness score.
Many users observed that the readiness score consistently displayed a rating of 100% in various scenarios. After thorough analysis, we identified that the issue lay in the intervals defined for generic users, i.e., those whose age or gender were not specified.
Initially, the readiness score intervals were as follows:
- Female user with unknown age: 25 - 108
- Male user with unknown age: 30 - 110
- User with unknown age and gender: 25 - 110
The breadth of these intervals, averaging 82 points, contrasted markedly with the narrower average range of 35 points for users with known age and gender. This disparity caused the readiness score to be disproportionately high for generic users, often resulting in a perfect score of 100%.
Readiness score improvement
To address this, we conducted a review and adjustment of the intervals for generic users. This process incorporated data on average population ages from recognized sources such as the United States Census Bureau, Eurostat, and the Instituto Nacional de Estadística y Geografía (INEGI). Based on this research, we have established the following updated intervals:
- Female user with unknown age: 35 - 71
- Male user with unknown age: 41 - 74
- User with unknown age and gender: 38 - 73
These refined ranges better reflect global population trends and are expected to provide a more accurate readiness score for generic users.
With ROOKScore 1.5, we are confident that our readiness score will now offer more precise insights, allowing our users to maximize the potential of our API. We remain committed to continuous improvement and appreciate ongoing feedback to ensure our tools meet the highest standards of accuracy and utility.
Frequently asked questions
What is ROOKScore 1.5?
ROOKScore 1.5 is an update to our ROOKScore, designed to offer a more precise measurement through the readiness score, adjusting for global demographic trends for users who do not have demographic data.
Why was an update needed?
It was identified that the undefined demographic intervals for generic users were too broad, resulting in disproportionately high and irrational readiness scores. This update adjusts those intervals through demographic data standardization to improve accuracy.
How were the new intervals defined?
The new intervals were defined using data on average population ages from recognized sources such as the United States Census Bureau, Eurostat, and INEGI. The following age ranges were established for users without demographic data:
- Female user with unknown age: 35 - 71
- Male user with unknown age: 41 - 74
- User with unknown age and gender: 38 - 73
What impact will this update have on users?
We expect the readiness scores to be more accurate and better reflect demographic reality, providing more useful insights.