Scoping medical tourism and international hospital accreditation growth
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
PURPOSE: Uwe Reinhardt stated that medical tourism can do to the US healthcare system what the Japanese automotive industry did to American carmakers after Japanese products developed a value for money and reliability reputation. Unlike cars, however, healthcare can seldom be test-driven. Quality is difficult to assess after an intervention (posteriori), therefore, it is frequently evaluated via accreditation before an intervention (a priori). This article aims to scope the growth in international accreditation and its relationship to medical tourism markets. DESIGN/METHODOLOGY/APPROACH: Using self-reported data from Accreditation Canada, Joint Commission International (JCI) and Australian Council on Healthcare Standards (ACHS), this article examines how quickly international accreditation is increasing, where it is occurring and what providers have been accredited. FINDINGS: Since January 2000, over 350 international hospitals have been accredited; the JCI's total nearly tripling between 2007-2011. Joint Commission International staff have conducted most international accreditation (over 90 per cent). Analysing which countries and regions where the most international accreditation has occurred indicates where the most active medical tourism markets are. However, providers will not solely be providing care for medical tourists. PRACTICAL IMPLICATIONS: Accreditation will not mean that mistakes will never happen, but that accredited providers are more willing to learn from them, to varying degrees. If a provider has been accredited by a large international accreditor then patients should gain some reassurance that the care they receive is likely to be a good standard. ORIGINALITY/VALUE: The author questions whether commercializing international accreditation will improve quality, arguing that research is necessary to assess the accreditation of these growing markets.
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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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