Five Policy Recommendations for the Canadian Federal Government to Accelerate the Growth and Impact of Digital Health
Bibliographic record
Abstract
Digital health has become an increasingly essential component of a high-performing health system. Changes to health care delivery during COVID-19 highlighted the need to enable digital health and modernize health information systems. Canada needs a national approach to digital health to enable our health care system to operate effectively in the 21stcentury. The current siloed approach limits the ability of patients to benefit from digital health and of health institutions to integrate digital tools. A unified approach to digital health will enable Canada to offer a health care system commensurate with the expectations of all Canadians. This paper details five policy positions to promote this unified, digital health infrastructure in Canada. Patient Data Access is Essential: Patients should own their own data. They must be given access to their data upon request in a computable format, without charge or delay. Data Movement and Data Sharing is Imperative: Digital data sharing is both a key component of digital health and a crucial enabler of digital health, but it is currently poorly supported. Canada must develop a uniform data interoperability strategy aligned with international standards. Digital Health is Care: The provision of digital health is now embedded in our health care delivery. Canada must formalize the inclusion of digital health as an essential element of our public health system. Digital Health must be Inclusive: All Canadians are entitled to an equal opportunity to participate in digital health. A Federal Approach is Critical: We need a national, collaborative approach to solve the innovation drag caused by our approaches to evaluation, procurement, and privacy/security. Our current siloed approach disadvantages the Canadian health care system, the Canadian population, and Canadian industry. We suggest tangible next steps that leverage data to improve care, promote digital health care for those who need it most, and help Canada become a world leader in digital health innovation that directly benefits Canadian residents and grows our digital health industry.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.030 | 0.070 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.005 |
| Bibliometrics | 0.007 | 0.007 |
| Science and technology studies | 0.028 | 0.009 |
| Scholarly communication | 0.032 | 0.011 |
| Open science | 0.009 | 0.010 |
| Research integrity | 0.054 | 0.023 |
| Insufficient payload (model declined to judge) | 0.030 | 0.006 |
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 source (direct Gemma or distilled Codex), 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".