In JMIR medical informatics ; h5-index 23.0
BACKGROUND : In the context of COVID-19 outbreak, 80% of the persons are those with mild symptoms who are required to self-recover at home. They have a strong demand for remote healthcare that despite the great potential of artificial intelligence are not met in the current (e)-health services. Understanding the real needs of these persons is lacking.
OBJECTIVE : The aim of this paper is to contribute with a fine grained understanding of the home isolation experience of persons with mild COVID-19 symptoms, in order to enhance AI in eHealth services.
METHODS : Design research in which 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 top viewed personal video stories on YouTube and their additional 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 concern: (a) Considerable awareness period before testing positive and home-recovery period; (b) Less generic but more personal symptoms experiences; (c) Negative mood experience curve; (d) Inadequate home healthcare service support for mild COVID-19 patients through all stages. (e) Benefits and drawbacks of Social media support for mild COVID-19 patients; (f) Several touchpoint needs for home healthcare interaction with AI.
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 IT professionals to more effectively apply AI technology into eHealth services for mild Covid-19 patients, for which three main service concepts are proposed: (I) Trustful public health information to release stress; (II) Personal Covid-19 health monitoring. (III) Community Support.
He Qian, Du Fei, Simonse Lianne W L