PDF icon Download PDF
Open Access
CC BY-NC-ND 4.0 · ACI open 2022; 06(02): e123-e128
DOI: 10.1055/s-0042-1749191
Case Report

Design and Development of Halyos: A Patient-Facing Visual EHR Interface for Longitudinal Risk Awareness

Samson Mataraso   *
1   Department of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts, United States
2   Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, Berkeley, California, United States
3   Department of Bioengineering, University of California, Berkeley, Berkeley, California, United States
,
Vimig Socrates   *
1   Department of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts, United States
4   Department of Electrical Engineering and Computer Science, Case Western Reserve University, Cleveland, Ohio, United States
5   Department of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, Ohio, United States
,
Fritz Lekschas
6   Harvard John A. Paulson School of Engineering and Applied Sciences, Cambridge, Massachusetts, United States
,
Nils Gehlenborg
1   Department of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts, United States
› Author Affiliations
Funding This work was enabled by NIH grants U54HG007963 and R00HG007583.
› Further Information
Also available ateRef
  Permissions and Reprints
Preview

Abstract

Objectives We have developed Halyos, a visual electronic health record (EHR) web application that complements existing patient portals. Halyos is designed to integrate with existing EHR systems to help patients interpret their health data.

Methods The Halyos application utilizes the Substitutable Medical Applications and Reusable Technologies on Fast Healthcare Interoperability Resources (SMART on FHIR) platform to create an interoperable interface that provides interactive visualizations of clinically validated risk scores and longitudinal data derived from a patient's clinical measurements.

Results These visualizations allow patients to investigate the relationships between clinical measurements and risk over time.

Discussion By enabling patients to set hypothetical future values for these clinical measurements, patients can see how changes in their health will impact their risks.

Conclusion Using Halyos, patients are provided with the opportunity to actively improve their health based on increased understanding of longitudinal information available in EHRs and to begin a dialogue with their providers.

Keywords

data interpretation - data visualization - electronic health records - patient portal - risk management

Protection of Human and Animal Subjects

The human-centered design workshop is exempt under 45 CFR 46.101(b) Categories of Exempt Human Subjects Research Exemption 2 with no identifying information recorded.


* These authors contributed equally to this work.




Publication History

Received: 26 January 2021

Accepted: 03 February 2022

Article published online:
22 December 2022

© 2022. The Author(s). This is an open access article published by Thieme under the terms of the Creative Commons Attribution-NonDerivative-NonCommercial License, permitting copying and reproduction so long as the original work is given appropriate credit. Contents may not be used for commercial purposes, or adapted, remixed, transformed or built upon. (https://creativecommons.org/licenses/by-nc-nd/4.0/)

Georg Thieme Verlag KG
Rüdigerstraße 14, 70469 Stuttgart, Germany