Advancing the Management of Long COVID by Integrating into Health Informatics Domain: Current and Future Perspectives

Radha Ambalavanan (), R Sterling Snead, Julia Marczika, Karina Kozinsky and Edris Aman
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Radha Ambalavanan: The Self Research Institute, Broken Arrow, OK 74011, USA
R Sterling Snead: The Self Research Institute, Broken Arrow, OK 74011, USA
Julia Marczika: The Self Research Institute, Broken Arrow, OK 74011, USA
Karina Kozinsky: The Self Research Institute, Broken Arrow, OK 74011, USA
Edris Aman: The Self Research Institute, Broken Arrow, OK 74011, USA

IJERPH, 2023, vol. 20, issue 19, 1-21

Abstract: The ongoing COVID-19 pandemic has profoundly affected millions of lives globally, with some individuals experiencing persistent symptoms even after recovering. Understanding and managing the long-term sequelae of COVID-19 is crucial for research, prevention, and control. To effectively monitor the health of those affected, maintaining up-to-date health records is essential, and digital health informatics apps for surveillance play a pivotal role. In this review, we overview the existing literature on identifying and characterizing long COVID manifestations through hierarchical classification based on Human Phenotype Ontology (HPO). We outline the aspects of the National COVID Cohort Collaborative (N3C) and Researching COVID to Enhance Recovery (RECOVER) initiative in artificial intelligence (AI) to identify long COVID. Through knowledge exploration, we present a concept map of clinical pathways for long COVID, which offers insights into the data required and explores innovative frameworks for health informatics apps for tackling the long-term effects of COVID-19. This study achieves two main objectives by comprehensively reviewing long COVID identification and characterization techniques, making it the first paper to explore incorporating long COVID as a variable risk factor within a digital health informatics application. By achieving these objectives, it provides valuable insights on long COVID’s challenges and impact on public health.

Keywords: COVID-19; post-COVID syndrome; concept map for management of long COVID; health informatics; public health; management of long COVID (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2023
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