Striving for Diagnostic Excellence in Emergencies by Using Principles of Personalized Prevention and Medical Cybernetics

Abstract

This article presents a comprehensive approach imbedded into the evolving Digital Health infrastructure and how diagnostic excellence in emergencies and primary prevention of the most significant pathologies regarding morbidity and mortality could be pursued. Tools of Medical Cybernetics are introduced here which could enable: 1. Collection of large amounts of data from wearable sensors. 2. Fitting dynamic process models to the data which have their power to predict the next measurement. 3. Creation of automated risk profile with indicators of morbidity and mortality of diseases which carry the highest risk and feedback of information to the user. 4. Creation of a network between users, providers, and other health services. We propose a Personal Health Data Organizer App Service working in unison with a Cyber Physical System and its extension the Integrated Cyber Physical System cloud-based computer platform realizing long-term observation and continuous risk assessment for measuring quality and effectiveness of the diagnostic process and supporting diagnostic excellence. A list of principles of primary prevention is compiled which is fully supported by the same system. Example is shown how primary prevention of atherosclerotic heart diseases could be implemented. The significance of the system is to recognize early developing risks at subclinical stages of the highest-risk conditions that result in the most harm and potential lawsuits if the correct diagnosis is missed or delayed.