Online access to medical records: finding ways to minimise harms
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Currently, GP practices in England should be offering their adult patients online access to a brief summary of their general practice medical record, to be followed as soon as possible by access to the full record. This mandate came into effect in April 2015.1 The vision is that all adults will have online access to all their health and social care records by 2020.1 Potentially, online access is more convenient for patients, empowers and enables patients to take better control of their health and health behaviour, helps patients navigate a complex system, and may make services more efficient, thereby reducing costs.2,3 The policy is also underpinned by ethical arguments about autonomy and individual rights: the health information in the record belongs to the patient who has at least equal rights of access as healthcare providers.2 A recent systematic review found that patients reported benefits of online access in terms of experience, satisfaction, and feeling able to take control of their own health care, with possible advantages to patient safety when patients have online access to medication lists.4,5 However, the same review concluded that we do not know whether online access translates into better health or health care for patients or whether it improves service efficiency.4,5 Like any policy, there is also potential for unintended harm and this is our focus here, particularly those harms related to privacy and confidentiality. There has been no study on this topic as yet.4,5 Online patient access is in the process of being …
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.181 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it