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Evaluation and management documentation and coding technology adoption.

Susan H Fenton1, Larry D Gamm

  • 1AHIMA's Foundation of Research and Education in Chicago, IL, USA.

Perspectives in Health Information Management
|December 11, 2007
PubMed
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Physician practices are slow to adopt automated documentation and coding technology, with organization size and type being key factors. Financial incentives and regulations did not influence technology use, suggesting other barriers exist.

Area of Science:

  • Health Information Management
  • Medical Practice Management
  • Healthcare Technology Adoption

Background:

  • Physician practices face increasing demands for accurate documentation and coding.
  • The adoption of Health Information Management (HIM) technology is crucial for efficiency and compliance.
  • Understanding factors influencing technology utilization is vital for effective implementation.

Purpose of the Study:

  • To determine the impact of financial incentives, practice characteristics, and regulatory guidelines on the adoption of documentation and coding technology among physician practices.
  • To identify the relationship between organizational factors and the use of automated versus traditional methods.
  • To explore reasons behind the low adoption rates of coding technology.

Main Methods:

Related Experiment Videos

  • A Web-based survey was administered to 442 Health Information Management (HIM) professionals.
  • Data collected focused on practice characteristics, documentation methods, and coding technology utilization.
  • Statistical analysis was employed to examine relationships between variables.

Main Results:

  • Most physician practices still utilize traditional documentation and coding methods over automated ones.
  • Less than half of practices using automated documentation technology also employed automated coding technology.
  • Organization size and type significantly influenced the choice of documentation and coding methods, while financial incentives and regulatory guidelines showed no significant relationship.

Conclusions:

  • Practice characteristics, particularly organization size and type, are stronger predictors of technology adoption than financial incentives or regulatory guidelines.
  • Low adoption of coding technology, despite minimal physician effort required, indicates potential unique inhibiting factors.
  • Further research is needed to identify and address the specific barriers to Health Information Management technology adoption in physician practices.