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Issues And Trends In Healthcare Delivery System

The issues and trends in healthcare delivery are constantly changing. The COVID-19 pandemic is one recent issue that wreaked havoc on healthcare systems, causing a shortage of healthcare workers, high demand for medicines and supplies, and increased medical expenditure due to a lack of insurance. Other issues include rising healthcare costs and care fragmentation.
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Related Experiment Videos

Next-generation applications in healthcare digital libraries using semantic service composition and coordination.

Thorsten Möller¹, Heiko Schuldt, Andreas Gerber

¹University of Basel, Department of Computer Science, Database and Information Systems Group, Bernoullistrasse 16, 4056 Basel, Switzerland. thorsten.moeller@unibas.ch

Health Informatics Journal

|October 7, 2006

Summary

This study introduces a novel agent-based approach for managing services in healthcare digital libraries (DLs). It enables on-demand planning and runtime matchmaking for flexible, next-generation DL applications.

Related Experiment Videos

Area of Science:

Computer Science
Information Science
Health Informatics

Background:

Healthcare digital libraries (DLs) increasingly utilize dedicated services for functionality and data access.
Semantic web services enhance individual services and enable compound services for advanced DL applications.
Traditional process management focuses on build-time definitions and pre-defined failure strategies, limiting runtime flexibility.

Purpose of the Study:

To present a novel approach for distributed service coordination in healthcare DLs.
To enable on-demand planning of compound semantic services for specific applications.
To support flexible, next-generation DL applications through runtime adaptability and matchmaking.

Main Methods:

Implementing a distributed agent-based system for service coordination.
Developing a dedicated component for on-demand planning of compound semantic services.
Utilizing runtime matchmaking to select appropriate service providers.
Reinvoking the planner for contingency strategies in case of failure.

Main Results:

Demonstrated a shift from build-time process definition to runtime service event management.
Enabled dynamic planning and execution of compound services tailored to specific application needs.
Facilitated flexible service composition and provider selection at runtime.
Showcased the potential for enhanced adaptability and resilience in DL applications.

Conclusions:

The proposed agent-based, on-demand planning, and runtime matchmaking approach supports highly flexible next-generation DL applications.
This technology offers a robust framework for managing complex service interactions in healthcare information systems.
Further development within projects like CASCOM is advancing these capabilities for future DLs.