Contextualized access to electronical health records in cardiology

Area of Science:

• Health Informatics
• Information Science

Background:

• Electronic Health Records (EHR) offer improved data management but face challenges with large data volumes and difficult retrieval.
• Accessing specific information within extensive EHR systems can be inefficient and hinder clinical workflows.

Purpose of the Study:

• To develop a novel approach for accessing EHR data tailored to specific clinical contexts.
• To enhance the efficiency and usability of EHR systems, particularly for cardiology.

Main Methods:

• A context-aware access method for EHR was proposed, prioritizing information relevant to the user's current clinical task.
• Fuzzy logic was employed to define contexts and assess document relevance, focusing on system efficiency with large databases.
• The approach prioritizes data access based on immediate needs, without restricting overall access.

Main Results:

• The proposed method effectively contextualizes EHR access, delivering prioritized information relevant to clinical assistance acts.
• Efficiency was a key consideration, addressing the challenges posed by large EHR databases.
• The system facilitates the use of devices with interface limitations, such as tablet PCs and PDAs.

Conclusions:

• Contextualization of EHR access significantly improves information retrieval efficiency and clinical workflow.
• The fuzzy logic-based prioritization system offers a flexible and effective solution for managing large health datasets.
• This approach enhances EHR accessibility across various devices, supporting modern healthcare delivery.