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Record W7132375562

Hope Noah: Is All-Inclusive Pricing an Effective Strategy for the Medical Tourism Industry?

2019· other· W7132375562 on OpenAlexaff
Dongsheng 周东生, 阮丽旸

Bibliographic record

VenueCEIBS Institutional Repository · 2019
Typeother
Language
Field
Topic
Canadian institutionsCentre Casa
Fundersnot available
KeywordsMedical tourismTourismMedical careMedical insurance
DOInot available

Abstract

fetched live from OpenAlex

厚朴诺亚健康管理(北京)有限公司(以下简称厚朴方舟)是国内最早从事海外医疗服务的机构之一。经过几年的发展,公司已树立了良好的口碑,经营状况渐入佳境。但CEO王刚却不满足于此,他希望能给顾客带来“好”“快”“省”的海外医疗服务。在他看来,目前海外医疗服务市场上按服务量、时长和次数计费的模式在本质上与患者利益相悖:患者越治不了、治不好、拖得越久,收费就越高。因此,王刚考虑能否提供海外医疗包干(即以一价全包的方式兜底患者的医疗费、服务费以及围绕医疗产生的其他所有非医疗支出)这一新的定价模式,从而使企业和患者的利益统一起来,既免除顾客对费用不确定性的担忧,同时倒逼企业提升效率。但由于医疗本身的不确定性太高,这一想法遭到了其他管理层的一致反对。王刚到底该如何决策?

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.704
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.001
Science and technology studies0.0040.005
Scholarly communication0.0010.001
Open science0.0040.001
Research integrity0.0080.007
Insufficient payload (model declined to judge)0.0030.005

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.

Opus teacher head0.020
GPT teacher head0.313
Teacher spread0.294 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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".

Quick stats

Citations0
Published2019
Admission routes1
Has abstractyes

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