Personalised Symptoms Management
Reduce Training Time to Enhance Productivity

Our client created an application helping people with certain disease to live their best lives through personalised symptom management.
It is possible thanks to personal data provided by users: symptoms, medication, hormonal cycle and events tracking.
See how we are helping them use patients’ data for science, while respecting their privacy.
What if...
companies could securely leverage personal health data?
Personalized symptom management can improve patients' quality of life. By securely using personal health data for scientific research, companies can support better healthcare outcomes while respecting user privacy, building trust, and advancing medical knowledge.
Problem: Making use of Patients’ Data

Provide pharmaceutical companies with anonymized longitudinal data on adverse events reported for their drugs
Run internal research to drive insights e.g. surveys on cohorts, data sets analysis to look for relevant events & symptom correlations
Provide CROs with pre-screened patients that can be recruited for relevant clinical trials
Use AI technology to provide guidance to the patients, based on their individual symptoms and situation, so that they can help themselves
Without FileSafe



Not compliant
to be used for anything else than personal symptom management

Not safe
to be stored at local devices

Not possible to be shared with researchers
Details can trace back to the individual, even if name is removed

Time-consuming
Requires repetitive manual operations to report compliance to authorities
With FileSafe



Compliant
Can be used for Internal & External Research

Safe
Even if data sets are accessed by unauthorised individuals

Possible to be shared with researchers
Details can’t trace back to the individual

Quick
No need to manually anonymize to prepare compliance reports
2
New Collaboration Opportunities
Ready for internal and external research, while maintaining statistical relevance:
– Consistent data, everywhere
– Correct formats retention
– Data cleansing, basic data mining and outliers management
– Provide fit-for-use anonymized data
Ready for AI algorithms, to provide guidance based on patients’ individual situation

Increased Customer Trust
100% Irreversible
Personal information replaced with relevant equivalents

98% Risk Mitigated
Reliable anonymization in conformance to regulations.
No transfer outside the source application or database.
One-way data transformation.