Global electronic record of personal health

An international humanitarian challenge

James Fleck: Anticancerweb 16(02), 2020

A global electronic personal health record (Global e-PHR) is a new concept developed to adequately support patient needs and rights. The top 5 values associated with new proposed Global e-PHR model are credibility, confidentiality, authenticity, inviolability and portability. Most of these values are already covered by electronic medical records used in IT resources of clinics and hospitals, but none of these models provide immediate portability. The proposed Global e-PHR model properly focuses on patient empowerment, as all medical information would be in patients' hands in real time. In addition, Global e-PHR would give patients the right to manage their relationships with other stakeholders in the healthcare environment, without reducing credibility, since only authorized attending physicians would be allowed to write in patient’s e-PHR. Each physician intervention would be properly registered and electronic signed, providing authenticity. Exclusive usernames (UN) and passwords (PW) used by patients, physicians and institutions would make e-PHR confidential. Once data have been uploaded and saved by physicians, the information cannot be erased, making the record inviolable. Using Global e-PHR the patient would have permanent access to his medical data, would share data at his discretion, would continuously criticize the quality of uploaded data, further interacting with his physicians, better understanding his health problems and fully exerting a sharing-decision making.

As Global e-PHR model is centered on patients’ needs and rights, it is timeless. All advances in technology can be easily incorporated using the same framework. However, the implementation of this new concept has some limitations. The implementation of the new model proposed by Global e-PHR is an example of ill-structured problem solving. Only collective intelligence would overcome the limitations, using a stratified multidimensional big data, which would be analyzed with machine learning and deep learning resources. This is a humanitarian project and you are invited to participate. Go to www.ephr.org and make your comment.