A Broad-Spectrum Health Delivery Model and Intelligent Mobile Information-Network to Strengthen Individual-Based Primary Care Medicine: Scientific Foundation and Architecture

Background: Primary care (PC) medicine, while nurturing patient’sfew positive (+) health states and enhancer factors, has mostly healed many negative (-) health/ disease states and risk factors. In 2013, we designed a US research program for quality/cost improvement of healthcare measuring patient global health outcome using e-health record and socio-bio-sensed data. Aim: To justify and engineer a US broad-spectrum health PC’s delivery/intelligent mobile information-network. Methods: 1) Quasi-experimental evaluation of democratic-scientific-industrial revolutions’ effects on 193 nations and the US assessed by 106 life-health, theoretical-technological variables’ trends from 1750 to 2015, and 2) optimization via system analysis and categorization by analogy-making of PC medical model. Results: The modernization has practically tripled human life expectancy, by spreading life-health advances and controlling nutritional-infectious and maternalinfant diseases/injuries. In 1957-2014, life expectancy increased slightly more slowly than in 1900-1956, despite the fact that quality, equality, and survival of high-lethality chronic diseases/injuries greatly improved, through much more preventive-therapeutic biomedical-biopharmaceutical advances and higher costs. This difference in the rate of increase of life expectancy seems linked to the persistently high-incidence of chronic diseases/injuries related to chronic disorders and risks in infants, children and teenagers. With an individual-based broad-spectrum health delivery PC system to measure, enhance, and safeguard his health reserve, upgraded with information sciences/technologies, we can evaluate/reduce objectively the health information overload of our young and adult individuals. Physician-nurse teams managing it can increase the individual health intelligence, helping process his entire life e-health record data, enriched with smart wearable through a smartphone-computer network, empowering selfhealth induction with prompt data-exchange of defragmented cultureconosociopsychoneuro-biophysiological (+ ± -) global health. It also must increase the homogeneity of lifestyle/biomedical trials' groups in global health index, profile, +prognostic/enhancer factors, and enable developing integral bottom-up population health indices. Conclusion: Increasing individual health intelligence through primary care integral infomedicine should increase healthcare efficiency.