Article type
Abstract
Introduction
Evidence-based guidelines serve as invaluable tools for clinicians and healthcare providers, offering evidence-informed recommendations for the management of diseases and health conditions. However, the conventional format of CPGs is frequently perceived as impractical by users. Clinical pathways are vital tools for implementing guidelines, providing a structured approach to healthcare delivery. However, there is considerable variability in their methodological development, the type of recommendations they present, and their graphical design. Moreover, integrating recommendations developed using the GRADE approach into these clinical pathways often proves to be challenging or even unfeasible. These challenges represent a significant barrier to appropriate guideline implementation, hindering their uptake and impact on clinical practice.
Objective
To address this critical issue, we present a software developed to generate algorithms for the management of diseases and medical conditions, incorporating recommendations developed following the GRADE approach. Unlike conventional guideline formats, our software aims to break through the practicality barrier by providing a tool for organizing recommendations in a user-friendly format tailored to each disease or medical condition.
Methods
The development of the software involved a collaborative iterative process between three key teams: the technical team, the coordination team, and the methods team. Following multiple iterations and rounds of feedback, the software reached a stage of maturity where it met the predefined requirements and standards set by the methods team.
Results
By leveraging the power of technology and adhering to the principles of evidence-based practice, our software provides a set of tools that allows users to organize complex bodies of evidence and recommendations into actionable algorithms that clinicians and healthcare providers can easily navigate and apply in their daily practice. Through intuitive design and customization options, we strive to enhance the accessibility and usability of evidence-based guidelines, ultimately facilitating their implementation and improving patient care.
Conclusions
In this presentation, we will demonstrate the features and capabilities of our software, highlighting its potential to improve guideline implementation practices and reduce the gap between evidence and practice. By standardizing clinical pathways based on evidence-based guidelines, healthcare organizations can streamline the implementation of guideline recommendations into routine clinical practice and policies.
Evidence-based guidelines serve as invaluable tools for clinicians and healthcare providers, offering evidence-informed recommendations for the management of diseases and health conditions. However, the conventional format of CPGs is frequently perceived as impractical by users. Clinical pathways are vital tools for implementing guidelines, providing a structured approach to healthcare delivery. However, there is considerable variability in their methodological development, the type of recommendations they present, and their graphical design. Moreover, integrating recommendations developed using the GRADE approach into these clinical pathways often proves to be challenging or even unfeasible. These challenges represent a significant barrier to appropriate guideline implementation, hindering their uptake and impact on clinical practice.
Objective
To address this critical issue, we present a software developed to generate algorithms for the management of diseases and medical conditions, incorporating recommendations developed following the GRADE approach. Unlike conventional guideline formats, our software aims to break through the practicality barrier by providing a tool for organizing recommendations in a user-friendly format tailored to each disease or medical condition.
Methods
The development of the software involved a collaborative iterative process between three key teams: the technical team, the coordination team, and the methods team. Following multiple iterations and rounds of feedback, the software reached a stage of maturity where it met the predefined requirements and standards set by the methods team.
Results
By leveraging the power of technology and adhering to the principles of evidence-based practice, our software provides a set of tools that allows users to organize complex bodies of evidence and recommendations into actionable algorithms that clinicians and healthcare providers can easily navigate and apply in their daily practice. Through intuitive design and customization options, we strive to enhance the accessibility and usability of evidence-based guidelines, ultimately facilitating their implementation and improving patient care.
Conclusions
In this presentation, we will demonstrate the features and capabilities of our software, highlighting its potential to improve guideline implementation practices and reduce the gap between evidence and practice. By standardizing clinical pathways based on evidence-based guidelines, healthcare organizations can streamline the implementation of guideline recommendations into routine clinical practice and policies.