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Related Concept Videos

Nursing Clinical Information System01:27

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Nursing Clinical Information System (NCIS)
A Nursing Clinical Information System (NCIS) is a specialized type of healthcare information system tailored to meet the unique needs of nursing practice. It incorporates the principles of nursing informatics to streamline information management and improve the quality of care delivery.
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Documentation is the systematic process of formally recording, maintaining, and communicating information.
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A semantic trajectory data warehouse for improving nursing productivity.

Georgia Garani1, George K Adam1

  • 1University of Thessaly, Gaiopolis, 41500 Larissa, Greece.

Health Information Science and Systems
|September 9, 2020
PubMed
Summary
This summary is machine-generated.

This study introduces a Semantic Trajectory Data Warehouse for managing nursing staff shifts. This approach enhances decision-making and improves nursing productivity through efficient data analysis.

Keywords:
Conceptual modellingData warehouseLogical modellingMoving objectTrajectory

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Area of Science:

  • Data Science
  • Information Systems
  • Healthcare Management

Background:

  • Trajectory Data Warehouses store and analyze data from moving objects using spatial and temporal metrics.
  • Semantic Trajectory Data Warehouses integrate contextual information to derive valuable insights for decision-making.
  • Human resource management, particularly shift scheduling, can benefit from semantic trajectory data analysis.

Purpose of the Study:

  • To develop a conceptual and logical model for a Semantic Trajectory Data Warehouse tailored for nursing personnel shifts.
  • To enable observation, management, and scheduling of nurses' shifts using OLAP operations.
  • To demonstrate the practical application and benefits of the proposed model.

Main Methods:

  • Utilizing standard data warehousing tools to store nursing shift data as trajectories.
  • Developing conceptual and logical models for the Semantic Trajectory Data Warehouse.
  • Implementing a prototype to illustrate the model's functionality and perform OLAP computations.

Main Results:

  • A functional model for a Semantic Trajectory Data Warehouse was developed and implemented.
  • OLAP operations were successfully computed over the nursing shift trajectory data.
  • The system demonstrated efficiency in managing and analyzing nursing personnel shifts.

Conclusions:

  • The Semantic Trajectory Data Warehouse model provides an effective framework for managing complex shift data.
  • The proposed approach enhances the observation, management, and scheduling of nursing staff.
  • The prototype's results indicate a significant potential for improving nursing productivity and operational efficiency.