Abstract
In recent years governments become more concern about health care monitoring which cannot be accomplished without enhancing trust on underlying system as various citizens hesitate to upload their sample because of privacy reasons and obviously the governmental decisions are based on the data collected by various PHCs and third party medical agencies. The accuracy and authenticity of this third party owned data is always doubtful. Crowd sourcing(a collaborative framework) make its sound presence in development of large scale health projects Scientist also impressed from crowd sourcing which is a faster and better alternative to traditional methods for predicting and monitoring infectious diseases. However the success of this type of crowd sourcing depends on the trust on underlying system as the user is always looking firm commitment to preserve their privacy and win a promise of not being re-identified later. Here in this work we suggest a privacy protecting framework for upload process which could fulfill user's diverse privacy requirements while guaranteeing the quality of health care data.
Highlights
In recent years governments become more concern about health care monitoring which cannot be accomplished without enhancing trust on underlying system as various citizens hesitate to upload their sample because of privacy reasons and obviously the governmental decisions are based on the data collected by various PHCs and third party medical agencies
The accuracy and authenticity of this third party owned data is always doubtful The inception of crowd sourced technologies help a lot in this regard as various citizens may upload their health information on to cloud based web application or a centralized server in a hassle free manner, on the other hand Government gains much concerned citizens data as a whole which will further be exploited for various policy matters and research works
Experts attracted towards crowd sourcing as a faster and better alternative to traditional methods for predicting and monitoring infectious diseases
Summary
In recent years governments become more concern about health care monitoring which cannot be accomplished without enhancing trust on underlying system as various citizens hesitate to upload their sample because of privacy reasons and obviously the governmental decisions are based on the data collected by various PHCs and third party medical agencies. Crowd sourced healthcare monitoring system utilizes omnipresent smartphone users to upload there health data for investigation and experimentation of various diseases and medicines. The decision of uploading by user process is designed in a bilateral goal escalation task (citizen anonymity and health record quality) which is designed as a game model of inadequate information , player can independently take decision for uploading samples or not to balance healthcare data quality and individual privacy requirement
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