Mapping patient data into a medical guideline

Abstract

The invention relates to a system (100) for mapping a patient data structure (PD) for describing a patient's case into a guideline data structure (GD) for describing a medical guideline, the system comprising storage (170) for storing: a plurality of data items (DI1; DI2; ...; DI99); - the patient data structure (PD) comprising data items (DI1; DI3; DI5; DI27; DI47, DI67, DI74) of the plurality of data items (DI1; DI2; ...; DI99); the guideline data structure (GD) comprising a guideline graph (GG), wherein the guideline graph (GG) is a directed graph, the guideline graph (GG) comprising action nodes (AN1; AN2), wherein each action node (AN1; AN2) is associated with an action; the system further comprising a linker (110) for linking data items (DI1; DI3; DI5; DI27; DI47, DI67, DI74) comprised in the patient data structure (PD) to action nodes (AN1; AN2) of the guideline graph (GG), based on a relation between said data items and actions associated with said action nodes (AN1; AN2), thereby mapping the patient data structure (PD) into the guideline data structure (GD). By decoupling the data input functionality and the medical guideline functionality, the use of the medical guideline of the invention imposes fewer constraints on the quality and completeness of the available patient data. Advantageously, mapping the patient data structure into the guideline graph of the guideline data structure provides an easy way of implementing and visualizing a personalized medical guideline which coincides with the general guideline requirements.

Description

technical field [0001] The present invention involves mapping a patient data structure for describing patient cases into a guideline data structure for describing medical guidelines. Background technique [0002] Guideline-based clinical decision support systems provide tools for managing a patient's disease and treatment. The complexity of clinical guidelines continues to increase due to further personalization of treatment. An ever-increasing challenge for physicians is to keep up with the state of the art in therapeutic and diagnostic recommendations. At the same time, evidence-based medical practice and guideline adherence have become even more important due to enormous cost pressures on the healthcare system. Therefore, systems that provide guideline-based clinical decision support are highly relevant. [0003] In practice, guideline-based decision support systems often prove to be extremely inflexible. These systems often impose certain actions on the user that do ...

AI Technical Summary

Problems solved by technology

Additionally, guidelines may require diagnostic tests to be performed using devices that are not available at the time

While it is often possible to rearrange the actions imposed by some guidelines, it can be difficult to get them performed out of the order driven by the guidelines

Images