Medical tourism in Mexico: strategies of the south medical group
Bibliographic record
Abstract
Mexico stands out among the main medical tourism destinations, the low costs offered by its health companies, around medical procedures and its strategic location with the United States and Canada, allows it to consolidate itself in the preference of international patients, who demand other services Complementary, such as: accommodation, transportation, meals and recreational activities. The objective of this article: is to analyze the characteristics and competitive strategies that allowed Medica Sur to become an economic group of national capital, and its insertion in medical tourism. The methods used are: historical-critical and analytical. The approaches of historical origin and corporate and organizational strategies were used, identifying their size and structure, their acquisitions, alliances and certifications (Concheiro, Fragoso, & Gutiérrez, 1979). Results: Medica Sur is a high-specialty national capital economic group, with a wide range of specialties and medical treatments; accredited by the Joint Commission International Accreditation Standards for Hospitals; its supply and gradual demand make it possible to attend international patients annually, mainly from the United States, France, United Kingdom and Latin America.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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 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".