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Translating Data Analytics Into Improved Spine Surgery Outcomes: A Roadmap for Biomedical Informatics Research in 2021.

Jacob K GreenbergAyodamola OtunZoher GhogawalaPo-Yin YenCamilo A MolinaDavid D LimbrickRandi E ForakerMichael P KellyWilson Z Ray
Published in: Global spine journal (2021)
Biomedical informatics has the potential to support the development of new HIT that can improve spine surgery quality and outcomes. By understanding the development life-cycle that includes identifying an appropriate data asset, selecting an analytic approach, and leveraging an effective implementation strategy, spine researchers can translate this potential into measurable advances in patient care.
Keyphrases
  • big data
  • electronic health record
  • life cycle
  • artificial intelligence
  • machine learning
  • healthcare
  • primary care
  • quality improvement
  • human health
  • type diabetes
  • adipose tissue
  • risk assessment
  • data analysis