Archives for patient privacy
Data anonymization is the process of stripping all personally identifiable information from the dataset while retaining only the relevant part without compromising the users’ privacy. One of its most important applications is in healthcare. Hospitals often remove patients’ names, addresses, and other vital information from the health records before incorporating them into large datasets. Loopholes…
The post Data Anonymization Is Not A Fool Proof Method: Here’s Why appeared first on Analytics India Magazine.
Data anonymization is the process of stripping all personally identifiable information from the dataset while retaining only the relevant part without compromising the users’ privacy. One of its most important applications is in healthcare. Hospitals often remove patients’ names, addresses, and other vital information from the health records before incorporating them into large datasets. Loopholes…
The post Data Anonymization Is Not A Fool Proof Method: Here’s Why appeared first on Analytics India Magazine.
Data anonymization is the process of stripping all personally identifiable information from the dataset while retaining only the relevant part without compromising the users’ privacy. One of its most important applications is in healthcare. Hospitals often remove patients’ names, addresses, and other vital information from the health records before incorporating them into large datasets. Loopholes…
The post Data Anonymization Is Not A Fool Proof Method: Here’s Why appeared first on Analytics India Magazine.