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Related Experiment Videos

Impact of enterprisewide data.

L A Frey1, M Bloomrosen

  • 1Aspen Systems Corporation, Rockville, MD, USA.

Topics in Health Information Management
|April 8, 1995
PubMed
Summary
This summary is machine-generated.

This article explores enterprisewide data collection in healthcare, detailing technologies like electronic data interchange and computerized patient records to achieve unified data systems and address standardization challenges.

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Area of Science:

  • Health Informatics
  • Data Management
  • Healthcare Systems Engineering

Background:

  • Healthcare organizations face challenges in managing disparate data sources.
  • The need for integrated data systems is growing to improve efficiency and patient care.
  • Existing technologies offer potential solutions for data collection and integration.

Purpose of the Study:

  • To define and explain the concept of enterprisewide data in healthcare.
  • To review current initiatives and technologies for achieving enterprisewide data collection.
  • To discuss the importance of data standardization in healthcare data systems.

Main Methods:

  • Review of current healthcare data collection initiatives.
  • Evaluation of technologies such as electronic data interchange (EDI), automated medical payment systems, and computerized patient records (CPRs).

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  • Analysis of data standardization principles and challenges in the healthcare industry.

    • Main Results:

    • Enterprisewide data collection involves integrating various data sources across a healthcare entity.
    • Technologies like EDI, automated payment systems, and CPRs are key enablers for enterprisewide data.
    • Data standardization is crucial for the successful implementation of enterprisewide data systems.

    Conclusions:

    • Achieving enterprisewide data requires strategic evaluation and adoption of relevant technologies.
    • Healthcare entities must address data standardization issues to create effective enterprisewide data systems.
    • The successful implementation of enterprisewide data systems can lead to improved healthcare management and outcomes.