Access to personal health information (2)

28 June, 2020

Richard Fitton, UK writes

"Patients' reactions to an abundance of information involves a decision to ignore most of it, using the rest and interpreting it using past experience to make as good a judgement as possible about what is going to happen in the future. Access to information by a patient which has been sorted and coded by a trained and specialized doctor reduces uncertainty and increases the judgemental abilities of patients. The doctor's notes can reduce the abundance of information that a patient has to choose from."

The 2020-06-28 issue of bims-librar, which I just brought out, has a paper that seems---from as little as I understand about it---relevant to your concern [*see note below]

That paper seems to suggest the use of machine learning, rather than the expensive labour of a specialized doctor.

You could create your own tailored report Biomed News report to watch developments in this area. BTW, Biomed News is also heavily aided by machine learning.



Thomas Krichel


HIFA profile: Thomas Krichel is Founder of the Open Library Society, United States of America. Professional interests: See my homepage at Email address:

[*Note from HIFA moderator (Neil PW): Here are the citation and abstract:

The Personal Health Library: A Single Point of Secure Access to Patient Digital Health Information.

Ammar N, Bailey JE, Davis RL, Shaban-Nejad A.

Traditionally, health data management has been EMR-based and mostly handled by health care providers. Mechanisms are needed to give patients more control over their health conditions. Personal Health Libraries (PHLs) provide a single point of secure access to patients' digital health information that can help empower patients to make better-informed decisions about their health care. This paper reports a work-in-progress on leveraging tools and methods from artificial intelligence and knowledge representation to build a private, decentralized PHL that supports interoperability and, ultimately, true care integration. We demonstrate how a social application querying such a decentralized PHL can deliver a tailored push notification intervention focused on improving self-care behaviors in diabetic adults from medically underserved communities.

DOI: ]