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

Samson Mataraso; Vimig Socrates; Fritz Lekschas; Nils Gehlenborg

doi:10.1055/s-0042-1749191

ACI Open, Table of Contents

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^*

¹Department of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts, United States

²Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, Berkeley, California, United States

³Department of Bioengineering, University of California, Berkeley, Berkeley, California, United States

,

Vimig Socrates^*

¹Department of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts, United States

⁴Department of Electrical Engineering and Computer Science, Case Western Reserve University, Cleveland, Ohio, United States

⁵Department of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, Ohio, United States

,

Fritz Lekschas

⁶Harvard John A. Paulson School of Engineering and Applied Sciences, Cambridge, Massachusetts, United States

,

Nils Gehlenborg

¹Department of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts, United States

› Author Affiliations

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

Full Text

References

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