Vector Diagnosis of Patient Conditions in Telemedicine
Main Article Content
Keywords
telemedicine, transdisciplinary approach, vector diagnosis of patient conditions, data discrimination, information asymmetry, big data, error by omission, data envelopment analysis (DEA)
Abstract
Telemedicine is a rapidly growing field in healthcare, offering wide-ranging opportunities to address various challenges faced by healthcare workers and patients. Despite its many benefits for both patients and healthcare providers, there are still a number of unresolved issues. This study aims to explore the potential of telemedicine by conceptualizing it as the interplay of two vectors: the patient's condition and technological readiness for consultation.
Research Objectives. The patient's condition vector includes physiological, biochemical, and clinical indicators. The technological readiness vector is defined by the treating physician's competence, the consultant's expertise, modern information processing capabilities, and the availability of necessary time, among other factors.
Conclusions. 1. Telemedicine consultations require a robust real-time medical data management system that allows consultants and attending physicians to efficiently process data, retain validated data for patient-specific recommendations, and enhance the global telemedicine framework with decision-making expertise. 2. Integrating big data analytics can improve the prediction and identification of disease diagnoses and prognoses, aiding in the development of effective strategies for complication prevention and disease treatment. Real-time communication with each patient and complex data processing can only be achieved through artificial intelligence. Manual intervention is insufficient for serving thousands of users simultaneously. 3. It's crucial during telemedicine consultations to consider not only the static indicators of the patient's condition but also their baseline data, stable condition indicators from previous studies, and personalized correlation galaxies. Recommendations based solely on the analysis of the patient's status during the telemedicine session risk incorrect conclusions. 4. Biosemiotics, which focuses on the language and rules of signals and codes in biological systems, combines ideas from systems theory, information theory, and linguistics. This integration may offer a new perspective on the classification and interpretation of biological and medical signaling. A coherent theory of biosemiotics needs to be developed.
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