Toward Web-based Careflow Management Systems
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 — Health care systems are prime examples of ultra large scale systems involving complex, distributive processes with a high degree of variability. There are ubiquitous communication and massive data and knowledge management requirements including documentation and reporting. Health care systems are also critical systems, where errors can be very costly in terms of lives, quality of life, and/or dollars. The efficient use of limited resources is not only desirable but necessary. Designing these processes and managing their performance is difficult and error prone. We discuss a web-based Careflow Management System, currently under development, that takes advantage of emerging web technology and extends existing workflow management systems with formal verification features applying high performance computing methods to support real-time monitoring and adaptation. Healthcare ontologies are integrated into the system to allow advanced reasoning and to ensure accurate and relevant knowledge sharing among the various collaborators enhancing interoperability between specialized systems devoted to each area. Index Terms—web-based systems, ontology, interoperability, verification, healthcare
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 | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.003 | 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 it