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Databases in the next millennium

F Davidoff1

  • 1American College of Physicians, Philadelphia, PA, USA.

Annals of Internal Medicine
|February 12, 1998
PubMed
Summary
This summary is machine-generated.

Large databases offer potential for medical quality improvement, but their success hinges on social factors, not just technical capabilities. Understanding these dynamics is key to realizing their full impact in healthcare.

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Area of Science:

  • Health Informatics
  • Medical Quality Improvement
  • Data Science in Medicine

Background:

  • The role of large databases in enhancing medical quality is a subject of ongoing debate and prediction.
  • Meaningful improvement in healthcare quality is questioned in the context of data availability and utilization.

Purpose of the Study:

  • To predict the future significance of large databases for medical quality improvement.
  • To explore the necessary and sufficient elements for improving medical care quality.
  • To analyze the factors influencing the adoption of database technology in medicine.

Main Methods:

  • Historical review of database utilization.
  • Analysis of innovation diffusion theories, focusing on social and emotional factors.

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  • Examination of potential limitations and challenges associated with large medical databases.

    • Main Results:

    • The effectiveness of data in driving medical quality improvement is not guaranteed.
    • The adoption of large databases for quality improvement is viewed as a significant innovation.
    • Social and emotional dynamics are predicted to be as influential as technical aspects in database adoption.

    Conclusions:

    • The future impact of large databases on medical quality improvement depends heavily on societal acceptance and integration.
    • Technical strength alone is insufficient; understanding the human element is crucial for successful implementation.
    • Potential pitfalls and limitations must be addressed for the effective use of large databases in medicine.