Avoiding Breach of Patient Confidentiality: Trial of a Smartphone Application That Enables Secure Clinical Photography and Communication
Bibliographic record
Abstract
BACKGROUND: To evaluate a smartphone application for clinical photography that prioritizes and facilitates patient security. METHODS: Ethics was obtained to trial the application Sharesmart. Calgary plastic surgeons/residents used the application for clinical photography and communication. Surveys gauging the application usability, incorporated consent process, and photograph storage/sharing were then sent to surgeons and patients. RESULTS: Over a 1-year trial period, 16 Calgary plastic surgeons and 24 residents used the application to photograph 84 patients. Half (56%) of the patients completed the survey. The majority of patients found the applications consent process acceptable (89%) and felt their photograph was secure (89%). Half (51%) of the surgeons/residents completed the survey and would use the application as is (67%) or with modifications (33%). The consent process was felt to be superior (73%) or equivalent (23%) to participant's prior methods and was felt to resolve issues present with current photography practices of secure transmission and storage of photographs by 100% and 95% of respondents, respectively. Perceived limitations of the application included difficulties in use with poor cellphone service or Internet, decreased speed compared to current practices, the lack of a desktop platform, video capability, and ability to transmit the photograph directly to the patient's medical record. CONCLUSIONS: A smartphone clinical photography application addresses the risks of patient confidentiality breach present with current photography methods; broad implementation should be considered.
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How this classification was reachedexpand
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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".