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Health Information Technology and Healthcare Information System01:30

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Using Visual and Narrative Methods to Achieve Fair Process in Clinical Care
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Applying analytic hierarchy process to assess healthcare-oriented cloud computing service systems.

Wen-Hwa Liao1, Wan-Li Qiu2

  • 1Department of Information Management, Tatung University, Taipei, Taiwan.

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|July 22, 2016
PubMed
Summary

Cloud computing offers healthcare organizations opportunities and challenges. Cost-effectiveness is the primary factor for successful cloud computing healthcare service systems, followed by practical design and architecture considerations.

Keywords:
Analytic hierarchy process (AHP)Cloud computingHealth care service systems

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Area of Science:

  • Health Informatics
  • Information Technology Management
  • Business Operations

Background:

  • Healthcare industry faces unique operational challenges due to volatility, insurance policy changes, and non-profit provider statuses.
  • Financial risks from evolving payment methods and information technology necessitate continuous business objective adjustments for healthcare organizations.
  • Cloud computing presents both challenges and opportunities for healthcare, especially with aging populations and internet prevalence, to balance quality and cost.

Purpose of the Study:

  • To develop a comprehensive assessment method for prioritizing decision-making factors in healthcare cloud computing service systems.
  • To evaluate cloud computing service systems specifically for their application within the healthcare sector.
  • To identify and classify critical factors influencing the design and implementation of healthcare cloud computing.

Main Methods:

  • Application of the Analytic Hierarchy Process (AHP) for factor prioritization.
  • Comparison of cloud computing elements with healthcare specific requirements.
  • Execution of a questionnaire survey to gather data on influencing factors.
  • Statistical analysis of survey results to classify critical factors.

Main Results:

  • Cost-effectiveness identified as the primary factor influencing optimal cloud computing healthcare service systems.
  • Practical considerations, including software design and system architecture, emerged as secondary critical factors.
  • The study provides a classified list of critical factors based on statistical analysis of decision-making preferences.

Conclusions:

  • Cloud computing is a crucial area for healthcare, offering solutions for balancing quality and cost.
  • Prioritizing cost-effectiveness is essential for the successful adoption and implementation of cloud computing in healthcare.
  • Further research into practical aspects like software design and system architecture is vital for optimizing healthcare cloud services.