Personal Health Records (PHRS) as a Base for Medical Research
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Abstract
Biomedical research today is extremely isolated. Researchers plan and execute studies that are usually totally independent from all other studies, they collect data for the purpose of their particular project only. The consequences are low efficiency and limited results. There has never been a greater need for comprehensive and well-structured databases that could be used as a starting point for biomedical research.
The MyHealthAvatar project (supported from the European Union's Seventh Framework Programme) is an attempt at a proof of concept for the digital representation of patient health status. The data stored in the personal avatars could be an extremely valuable source for biomedical research for the following reasons: (1) the number of potential users is far greater than the number of participants in even the largest studies; (2) standard questions ensure the homogeneity of the collected data; (3) continuous data entry allows data analysis spanning over substantial periods of time; (4) it is possible to export different aspects of the personal avatar data, suitable for analysis in different research projects, with sufficient phenotype information, while preserving privacy.
We present a model for utilizing data found in personal avatars, or in any Personal Health Record system for that matter, for the purposes of biomedical research.
The MyHealthAvatar project (supported from the European Union's Seventh Framework Programme) is an attempt at a proof of concept for the digital representation of patient health status. The data stored in the personal avatars could be an extremely valuable source for biomedical research for the following reasons: (1) the number of potential users is far greater than the number of participants in even the largest studies; (2) standard questions ensure the homogeneity of the collected data; (3) continuous data entry allows data analysis spanning over substantial periods of time; (4) it is possible to export different aspects of the personal avatar data, suitable for analysis in different research projects, with sufficient phenotype information, while preserving privacy.
We present a model for utilizing data found in personal avatars, or in any Personal Health Record system for that matter, for the purposes of biomedical research.
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