In "A Patient Journey Map to Improve the Home Isolation Experience of Persons With Mild COVID-19: Design Research for Service Touchpoints of Artificial Intelligence in eHealth". (JMIR Med Inform 2021;9(4):e23238) the authors noted one error. In the originally published manuscript, Multimedia Appendix captions incorrectly appeared as follows: Multimedia Appendix 1: Patient journey map of persons with mild COVID-19 during home isolation. Multimedia Appendix 2: Visual summary. Multimedia Appendix 3: Video purpose and comments coding trees. Multimedia Appendix 4: Personal video story coverage and experienced symptoms during home isolation. In the corrected version of the manuscript, Multimedia Appendix captions have been corrected to: Multimedia Appendix 1: Personal video story coverage and experienced symptoms during home isolation. Multimedia Appendix 2: Patient journey map of persons with mild COVID-19 during home isolation. Multimedia Appendix 3: Video purpose and comments coding trees. Multimedia Appendix 4: Visual summary of design research. The correction will appear in the online version of the paper on the JMIR Publications website on May 4, 2021, together with the publication of this correction notice. Because this was made after submission to PubMed, PubMed Central, and other full-text repositories, the corrected article has also been resubmitted to those repositories.

Background: In the context of the COVID-19 outbreak, 80% of the persons who are infected have mild symptoms and are required to self-recover at home. They have a strong demand for remote health care that, despite the great potential of artificial intelligence (AI), is not met by the current services of eHealth. Understanding the real needs of these persons is lacking. Objective: The aim of this paper is to contribute a fine-grained understanding of the home isolation experience of persons with mild COVID-19 symptoms to enhance AI in eHealth services. Methods: A design research method with a qualitative approach was used to map the patient journey. Data on the home isolation experiences of persons with mild COVID-19 symptoms was collected from the top-viewed personal video stories on YouTube and their comment threads. For the analysis, this data was transcribed, coded, and mapped into the patient journey map. Results: The key findings on the home isolation experience of persons with mild COVID-19 symptoms concerned (1) an awareness period before testing positive, (2) less typical and more personal symptoms, (3) a negative mood experience curve, (5) inadequate home health care service support for patients, and (6) benefits and drawbacks of social media support. Conclusions: The design of the patient journey map and underlying insights on the home isolation experience of persons with mild COVID-19 symptoms serves health and information technology professionals in more effectively applying AI technology into eHealth services, for which three main service concepts are proposed: (1) trustworthy public health information to relieve stress, (2) personal COVID-19 health monitoring, and (3) community support.