Cloud‐based performance management of community care services
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
Abstract Triple Aim for connected care is about improving patient experience, improving population health, and lowering cost of care. One of the key challenges to operationalizing Triple Aim is our ability to measure improvements at all levels of the health care ecosystem especially with respect to connected care. With a lack of interoperability between stakeholders in the health care system, our ability to measure quality of care goals is limited. Cloud computing offers the potential to improve data sharing and interoperability, thereby providing a good framework for operationalizing Triple Aim. In this paper, we evaluate our systematic framework for performance management of community care services based on a successful implementation for a large urban health region in support of Triple Aim. Three critical roadblocks to interoperability in a cloud computing context are identified (infrastructure, common data model, and a compliance framework), and alternative approaches to addressing them are evaluated and discussed.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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