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Updated: Jul 9, 2026

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

Published on: June 13, 2025

Creating knowledge-driven healthcare processes with the Intelligence Continuum.

Nilmini Wickramasinghe¹, Jonathan L Schaffer

¹Stuart Graduate School of Business, Illinois Institute of Technology, Chicago, IL 60661, USA. nsw26@usa.net

International Journal of Electronic Healthcare

|December 1, 2007

Summary

This summary is machine-generated.

Healthcare processes, especially in the operating room (OR), lag behind medical advancements, leading to inefficiency and high costs. The Intelligence Continuum (IC) offers a systematic approach to improve healthcare delivery using data management techniques.

Related Experiment Videos

Last Updated: Jul 9, 2026

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

Published on: June 13, 2025

Area of Science:

Healthcare Management
Medical Informatics
Process Reengineering

Background:

Medical science has advanced rapidly, but healthcare delivery, particularly in operating rooms (ORs), has seen minimal process improvements.
This discrepancy contributes to healthcare inefficiency, ineffectiveness, and escalating global costs.
The healthcare industry possesses vast data but underutilizes it due to a lack of advanced management techniques like Knowledge Management (KM), data mining, Business Intelligence (BI), and Business Analytics (BA).

Purpose of the Study:

To introduce the Intelligence Continuum (IC) as a systematic framework for enhancing healthcare processes.
To demonstrate how the IC can bridge the gap between medical advancements and healthcare delivery.
To illustrate the application of the IC using the orthopaedic operating room as a case study.

Main Methods:

The study proposes the Intelligence Continuum (IC), a framework integrating sophisticated tools and techniques.
It emphasizes leveraging data resources through KM, data mining, BI, and BA for process reengineering.
A case example from the orthopaedic operating room is used for illustration.

Main Results:

The Intelligence Continuum (IC) provides a systematic mechanism for healthcare organizations.
It facilitates superior clinical practice and administrative management.
Application in the orthopaedic OR demonstrates the potential for more efficient and effective healthcare processes.

Conclusions:

The Intelligence Continuum (IC) framework can drive evolutionary changes in healthcare delivery.
By maximizing data resources and adopting advanced management techniques, healthcare can overcome current inefficiencies.
The orthopaedic OR case exemplifies the IC's power to improve operational effectiveness and reduce costs.