Policy-based Data Integration for e-Health Monitoring Processes in a B2B Environment: Experiences from Canada
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
eHealth processes are data-focused, event-driven, and dynamic. They are systematically monitored for compliance with legislation, organizational guidelines and quality of care protocols. Community care, especially at home care, frequently requires the cooperation and integration of care processes across several providers and organizations. Service Oriented Architecture (SOA) through Web services and business process automation through Business Process Execution Language (BPEL) is emerging as a framework for business process integration over the Internet, but does not address all information management requirements of eHealth monitoring processes particularly with respect to policy compliance and event-based data integration. In this paper, we extend the traditional SOA framework to define a flexible policy-based approach for defining and monitoring streaming event data based on a general publish/subscribe model in a business-to-business (B2B) healthcare network. The work described here is design-oriented research where the purpose is to show the utility of the proposed framework. The approach is evaluated based on information management requirements drawn from a case study of palliative care and a prototype implementation.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 it