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Record W7132534779

Innovation Practices of Chinese Healthcare Enterprises

2024· other· W7132534779 on OpenAlexaff
Dongsheng 周东生, 阮丽旸

Bibliographic record

VenueCEIBS Institutional Repository · 2024
Typeother
Language
Field
Topic
Canadian institutionsCentre Casa
Fundersnot available
KeywordsHealth careContext (archaeology)Government (linguistics)Healthcare industryWork (physics)Healthcare system
DOInot available

Abstract

fetched live from OpenAlex

近年来,中国医疗健康产业快速崛起,从严重依赖进口到本土企业开始出海参与全球竞争,可以说实现了历史性的飞跃。这样的变化是如何发生的?<br/>一方面,政策、资本、市场等宏观因素起到了巨大的推动作用。另一方面,越来越多掌握核心技术的科学家和富有远见的企业家从未被满足的临床需求出发,通过技术和商业模式创新,逐步实现国产替代甚至超越。<br/>本书以中欧国际工商学院(CEIBS)的视角剖析近年来中国医疗健康企业狂飙与突围背后的创新实践,聚焦医药、医疗器械、医疗服务、商业健康险4个主要细分领域,以10家具有代表性的医疗健康企业为案例,结合20余位行业专家和企业高管的案例点评和行业思考,述评中国医疗健康企业在研发突破、成长崛起、盈利模式等方面的创新实践,以窥中国医疗健康企业的成功经验与发展趋势,为同业者提供一些借鉴和启示。

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)0.001
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.734
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.004
Science and technology studies0.0010.002
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0010.011

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 head0.028
GPT teacher head0.345
Teacher spread0.317 · 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
Published2024
Admission routes1
Has abstractyes

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