Early identification and assessment of new and emerging health technologies: Actions, progress, and the future direction of an international collaboration—EuroScan
Bibliographic record
Abstract
OBJECTIVES: To report on a workshop, and subsequent discussions, that reviewed the achievements and progress of the EuroScan collaboration since its establishment in 1999 to share information on the methods and results of early identification and assessment of new and emerging health technologies; considered challenges to the collaboration; and discussed its possible future direction. METHODS: A workshop was held in Stockholm in September 2006, with thirty-two participants from ten countries and representatives from EuroScan member agencies, policy makers involved in policy or decision making relating to new technologies, and invited external commentators from international HTA networks. The workshop used a mix of presentations, panel and audience discussions, and small group work to consider the achievements and challenges put forward. RESULTS: EuroScan has developed as a sustainable network, and has made progress on all tasks in its initial action plan, with the EuroScan information sharing database on new and emerging technologies being one of the collaboration's key achievements. Identified immediate concerns for the network included consideration of the impact of its current name and membership model; acknowledgement and publication of the full range of benefits of membership; contribution to and development of the database to encourage increased information sharing; and EuroScan's ongoing interaction with the wider HTA world. CONCLUSIONS: The workshop was a useful mechanism for reviewing the work of EuroScan and for creating a platform to take the collaboration forward. The workshop affirmed the benefits of the network to individual members; posed some significant challenges to the network to consider; and acted as a stimulus for an interim name change to better represent the global membership, and a major review of the EuroScan database of identified and assessed emerging health technologies.
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.
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 | 0.138 | 0.050 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.006 | 0.008 |
| Scholarly communication | 0.018 | 0.014 |
| Open science | 0.004 | 0.021 |
| Research integrity | 0.007 | 0.007 |
| Insufficient payload (model declined to judge) | 0.011 | 0.001 |
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".