Human abnormal thoughts, perceptions, emotions, and behavioral patterns have exhibited a variety of mental health disorders, but deteriorated their traits in pandemic times with severe illnesses. Falling human physiological and psychological functions have incapacitated mental stamina with questionable human survival in an environment, where pandemic situations aggravated the current human persistence, even compromising health services. The research aims to explore the connectivity between human affected pandemic environment and mental health ailments, including human-behavior ecological entities, through development of holistic Information System (IS) articulations. Several mental health disorders are described in diverse attribute dimensions, including their spatial-temporal dimensions. Different attributes are discernable from settings of human-affected pandemic environments and mental healthcare construed interfaces. The growth of physiological and psychological disorders in diverse geographies and demography, among mass populations, has motivated us to acquire large volumes and varieties of data. We explore the Attribute Journey Mapping and Modelling (AJMM) method to build knowledge-based data mining, visualization, and interpretation models that can deliver a large amount of new knowledge on mental disorders in pandemic environments. In this method, we identify and examine hundreds of attributes in Human Anatomy, Physiology and Psychology Integrated Egghead Relationships (HAPPIER), including their compatibility in the AJMM method. Modelling and managing the human body in the contexts of anatomy, physiology and psychological attributes, have received significant attention, with a focus on developing an integrated framework with IS articulations. Innovative IS articulations and ontological descriptions can facilitate interconnecting various human-anatomy, -physiology and –psychology features. Integration of multilayered and multidimensional IS artefacts, including domain ontologies in a methodological architecture, can facilitate us in building large size repository systems with interconnectable data views, usable by medical practitioners and bringing values in new knowledge domains. The structured repositories and AJMM metadata contribute to mental healthcare projects effectively.
Nimmagadda, Shastri; Nguyen, Lemai; Mani, Dr Neel; and Reiners, Torsten, "Information System Articulations – Modelling and Managing Mental Health Disorders in Pandemic Environments" (2022). PACIS 2022 Proceedings. 307.
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