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Classification of Patient Care Complexity: Cloud Technology.

Caren de Oliveira Riboldi1, Andrea Barcellos Teixeira Macedo1, Thiane Mergen1

  • 1Hospital de Clínicas de Porto Alegre (HCPA), RS, Brazil.

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Summary

A new computerized system, the Perroca Patients Classification System, was implemented in a Brazilian hospital. This system links patient complexity to nursing workload and institutional quality indicators.

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Area of Science:

  • Healthcare Management
  • Nursing Informatics
  • Hospital Administration

Background:

  • Increasing nursing workload is linked to institutional quality indicators.
  • Effective patient classification is crucial for resource allocation and quality assessment.
  • University hospitals require robust systems for managing patient care complexity.

Purpose of the Study:

  • To present a computerized structure for implementing the Perroca Patients Classification System.
  • To categorize patients based on care complexity within a university hospital setting.
  • To correlate patient complexity, nursing workload, and institutional quality indicators.

Main Methods:

  • Development and implementation of a computerized system using Google applications.
  • Integration of nursing and information technology expertise.
  • Categorization of patients according to the Perroca system's complexity levels.

Main Results:

  • Successful implementation of the computerized Perroca Patients Classification System.
  • Demonstrated correlation between patient complexity, nursing workload, and quality indicators.
  • Enhanced interdisciplinary collaboration between nursing and IT professionals.

Conclusions:

  • The computerized system effectively supports patient classification and workload management.
  • Findings support the relationship between workload and institutional quality in healthcare.
  • Technology integration can optimize nursing resource allocation and improve hospital quality.