The chapter starts from the premise that illness and healthcare are predominantly social phenomena that shape the perspectives of key stakeholders of healthcare. It introduces readers to the concepts associated around the term ontology with particular reference to philosophical, social and computer ontology and teases out the relations between them. It proposes a synthesis of these concepts with the term 'social cognitive ontological constructs' (SCOCs). The chapter proceeds to explore the role of SCOCs in the generation of human emotions that are postulated to have to do more with cognition (knowledge) than affect (feelings). The authors propose a way forward to address emotional needs of patients and healthcare givers through informational feedback that is based on a conceptual framework incorporating SCOCs of key stakeholders. This would come about through recognizing the clinical encounter for what it is: a shared learning experience. The chapter proceeds to identify problems with the traditional development of top down medical knowledge and the need to break out of the well meaning but restrictive sub specialty approach. It uses the term de specialization to describe the process of breaking out of the traditional top down mold which may be achieved by collaborative learning not only across various medical specialties but also directly from the patient and her "other" caregivers. Finally it discusses current efforts in the medical landscape at bringing about this silent revolution in the form of a Web-based user driven healthcare. It also supplies a few details of the attempts made by the authors in a recent project trying to create electronic health records in a user driven manner beginning with the patient's version of their perceived illness with data added on as the patient traverses his/her way through various levels of care beginning from the community to the tertiary care hospital. The data contained within these records may then be effectively and anonymously shared between different patients and health professionals who key in their own experiential information and find matching individual experiential information through text tagging in a Web 2.0 platform.
All Science Journal Classification (ASJC) codes
- Computer Science(all)
- Social Sciences(all)