Maple respiratory : innovación disruptiva en un modelo de ateción en salud que dió un respiro al sahos en Colombia
Bibliographic record
Abstract
Maple Respiratory Group (MRG) was created on April 1, 2001 in Calgary Canada, as a health services company that offered its patients the service of diagnosis of chronic respiratory diseases and sleep disorders, in addition to their treatment through the provision of different modalities of oxygen therapy and sale of equipment, where payment for products and services provided was made directly by patients, who subsequently made the recovery to insurance companies. In 2011, after a market investigation that showed positive results, MRG decided to enter the Colombian market, for which it hired John Harold Marin Kuan, a doctor who, due to his experience, was the ideal person to replicate the business model that the company had in Canada. However, John presented the MRG Board with the situation of the SAHOS in Colombia and the difficulties of replicating the Canadian business model, generated by the high coverage of the health system in the country. Given this scenario, MRG CEO Ben Asuchak, empowered John to design a proposal that would allow MRG to meet its objectives. In response to Ben's request, John designed Somnus et vita, a new business model that not only transformed the existing model in Canada, but also changed the model of care for Obstructive Sleep Apnea Hiccupping Syndrome (OSA) in Colombia. After analyzing the information presented by John, in September 2012 the MRG Board of Directors accepted the change in their business model. From that moment on, John faced two new challenges; the first, to create a marketing strategy that would allow him to take advantage of the market opportunities and encourage the acquisition of the service by the Health Promotion Companies (HPC); the second, to design the implementation strategy of the model created to generate a disruption in the market, displacing the traditional model and achieving the first goal established by MRG, corresponding to 2000 patients in the first year.
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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 | 0.004 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.004 |
| Scholarly communication | 0.010 | 0.004 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.007 | 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".