A Collaborative Model for Improving Information Sharing among Cancer Care Groups using Software Engineering Principles

TL;DR

This paper proposes a novel model inspired by software engineering principles, particularly version control systems, to enhance information sharing and coordination among cancer care groups, aiming to reduce delays and improve patient outcomes.

Contribution

It introduces a new collaborative model based on software engineering principles, especially GitHub version control, to improve information sharing among cancer care teams.

Findings

Software engineering principles can be adapted for healthcare information management.

The model reduces delays and improves coordination in cancer case management.

Simulation results demonstrate improved stakeholder collaboration.

Abstract

Effective treatment of cancer requires early diagnosis which involves the patient's awareness of the early signs and symptoms, leading to a consultation with a health provider, who would then promptly refer the patient for confirmation of the diagnosis and thereafter treatment. However, this is not always the case because of delays arising from limited skilled manpower and health information management systems that are neither integrated nor organized in their design hence leading to information gap among care groups. Existing methods focus on using accumulated data to support decision making, enhancing the sharing of secondary data while others exclude some critical stakeholders like patient caretakers and administrators thus, leaving an information gap that creates delays and miscommunication during case management. We however notice some similarities between cancer treatment and software engineering information management especially when progress history needs to be maintained (versioning). We analyze the similarities and propose a model for information sharing among cancer care groups using the software engineering principles approach. We model for reducing delays and improving coordination among care groups in cancer case management. Model design was guided by software engineering principles adopted in GitHub version control system for bug fixing in open-source code projects. Any-Logic simulation software was used to mimic the model realism in a virtual environment. Results show that bug resolution principles from software engineering and GitHub version control system can be adopted to coordinate collaboration and information sharing among care groups in a cancer case management environment while involving all stakeholders to improve care treatment outcomes, ensure early diagnosis and increase patient's survival chances.