Customized Health Form Generation via EHR Integration
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Solution Overview
Problem
Conventional electronic health forms are not configured to exchange data with Electronic Health Records (EHRs and do not adapt based on patient-specific clinical data, failing to provide personalized health forms that account for eyesight ability, native language, or known health information.
Innovation Solution
A distributed computing system comprising a server-side and client-side health form application that generates customized health forms based on clinical data from EHRs, using sensor data to adapt the form presentation and content, ensuring relevance and accessibility for individual patients.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional electronic health forms are used, then data collection from patients is achieved, but the forms cannot exchange data with EHR systems and do not adapt to patient-specific clinical data
Solution Approach 1:
The system is divided into distinct modules: a health form application layer that generates and manages forms, an EHR system layer that stores clinical data, and a data exchange layer using standardized protocols. This segmentation allows the health form application to adapt to patient-specific data without complicating the entire EHR system.
Solution Approach 2:
A standardized data exchange protocol acts as an intermediary between the health form application and the EHR system. This mediator enables seamless data exchange and adaptation to patient-specific clinical data without requiring direct integration between the health form application and EHR, thereby reducing system integration complexity.
2Measurement precision
If the same health form is presented to all patients, then form generation is simple, but redundant questioning occurs and data accuracy decreases
Solution Approach 1:
The system performs preliminary actions by automatically retrieving and analyzing patient-specific clinical data from the EHR before generating the health form. This preliminary data retrieval enables the form to be customized based on existing clinical information, eliminating redundant questions and improving data accuracy without increasing patient completion time.
Solution Approach 2:
The system uses feedback from patient responses to dynamically adjust and update the health form in real-time. When patients answer questions, the system processes these responses and uses them to refine subsequent questions, ensuring that the form adapts to the patient's specific needs and clinical data, thereby improving accuracy while maintaining efficiency.
3Productivity
If health forms do not integrate with EHR, then implementation is straightforward, but clinical decision support cannot be provided
Solution Approach 1:
The health form application is designed with multi-functionality, serving both as a standalone form generation tool and as an integrated component of the EHR system. It can generate forms using patient-specific clinical data from the EHR and provide clinical decision support, while also functioning independently if needed. This universality improves clinical workflow efficiency without requiring complex dedicated integration architecture.
Solution Approach 2:
A standardized data exchange protocol serves as an intermediary that enables the health form application to integrate with the EHR system for retrieving clinical data and providing decision support. This intermediary layer simplifies the integration architecture by providing a standard interface, thereby improving productivity without significantly increasing system complexity.
Data Source
AI summary
A computing system that facilitates generating customized health forms for a patient is disclosed herein. Subsequent to receiving a patient identifier from a client computing device, a server electronic health records application (EHR) transmits clinical data assigned to the patient identifier to a server health form application. Based on the clinical data assigned to the patient, the server health form application generates a customized health form for the patient using form data. The server health form application then transmits the customized health form to a client health form application for presentment on a display of the client computing device. The server health form application updates the customized health form for the patient as the patient responds to questions and as the server health form application receives sensor data from the client computing device.