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Quantifying innovation in surgery.

Archie Hughes-Hallett1, Erik K Mayer, Hani J Marcus

  • 1*Department of Surgery and Cancer, Imperial College London †The Hamlyn Centre, Institute of Global Health Innovation, Imperial College London; and ‡Centre for Health Policy, Institute of Global Health Innovation, Imperial College London, UK.

Annals of Surgery
|October 29, 2014
PubMed
Summary
This summary is machine-generated.

Patents and publications effectively measure surgical technology innovation. A new method analyzes growth curves, showing emergent technologies like robotic surgery follow an S-shaped growth pattern.

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Area of Science:

  • Biomedical Engineering
  • Health Services Research
  • Innovation Management

Background:

  • Quantitative analysis of healthcare innovation is limited by a lack of valid scientific methods.
  • Surgical technology serves as an exemplar for evaluating innovation metrics.
  • This study cross-validates patents and publications as innovation metrics.

Purpose of the Study:

  • Assess patents and publications as metrics for surgical technology and innovation.
  • Evaluate the historical relationship between patents and publications.
  • Develop a methodology to determine innovation growth rates in healthcare technologies.

Main Methods:

  • Searched patent and MEDLINE databases (1980-2010) for surgical terms.
  • Grouped patent codes into technology clusters.
  • Plotted growth curves for technology clusters to analyze growth rates and characteristics.

Main Results:

  • Retrieved over 52,000 patents and 1.8 million publications.
  • Minimally invasive surgery was the top cluster; robotic surgery, surgical staplers, and image guidance were emergent.
  • Technology growth curves followed an S-shaped pattern, with emergent technologies in exponential phases.
  • Publication and patent counts correlated closely during technology expansion.

Conclusions:

  • Publicly available patent and publication data can quantify surgical technology innovations.
  • A novel methodology is proposed for assessing and forecasting technological innovation areas.
  • The findings support using bibliometric data for innovation analysis in healthcare.