Innovations and Equity in Health Science: A Path to Well-being
Health Science has evolved from ancient practices to a modern biopsychosocial model, focusing on key areas like health insurance, digital innovations, sanitary equity, and sustainability. While significant progress has been made (e.g., the creation of the Blue Cross Blue Shield Association in 1929), millions still face medical debt and lack insurance. Today, AI and Machine Learning technologies offer solutions to reduce costs and increase global healthcare accessibility.
Luciano Luca Carlino
12/17/20242 min read


Health Science has evolved from Ancient Magic to the Biopsychosocial science linked to ethics and scientific research. The 1800s marked the passage from the “Informality” of hospitals to modern practices. By looking at all these elements we will talk about different macro elements that make Health Science a place of innovations where the language of democracy needs to be spoken. Therefore, the points to discuss are Health Insurance, Digital Improvement, Sanitary Equity, and Sustainability.
Before the 1800s hospitals served as places for the elderly and poor people, universities started to be built from the 1800s till the 1850s’ and they began to establish common rules. Significant improvements were made from the end of the 1800s’ till the beginning of the 1900s, specifically in 1929 with the creation of the Blue Cross Blue Shield Association which supported people and hospitals during the Great Depression. Today, 9 million people in the USA don’t have any kind of insurance. Two-thirds are covered by Medicare and Medicaid, and two-fifths of people who have some medical debts need to cut the essentials to live; This is the situation according to research conducted by S. Collins, S. Roy, and R. Masitha (2013).
Digital technologies can reduce onerous costs for administration and management. Artificial Intelligence and Machine Learning can fill this problem by not only lowering the costs of health services but even making information more accessible globally. (Ching-Hung Lee, Chang Wang, Xiaojing Fan, Fan Li, Chun-Hsien Chen, 2023).
Equity and sustainability are vital to go on together because equity can improve the dialog between the various parts, and sustainability is the power to make improvements for the actual generation without leaving the possibility of improvement of the future generations (ONU, Brundtland Report, 1987); if so, a global sustainability change becomes possible. The integration of professionality is needed, first Behavioral Scientist. Understanding how innovations can be adapted to the people is necessary. Another aspect to consider is to create a more linked situation between doctors and those who need to commerce the innovations, as the lobbies, because it usually happens that the economy becomes more important than innovations.
In conclusion, we are in a period of development and if we start to look at it as an advantage for us, we can use whatever is being created to improve the quality of health at 360 degrees, and, with that, to increase our life well-being. Artificial Intelligence is a tool that if used well can allow us for all of that, everything by starting from equity and work balances, fields that are still under the pressure of the economic system. The steps are:
- Identify impactful health technologies
- How to use the social networks for positive impacts.
- Create a specialized research group to apply research to action.
- Explore behavioral science to rapid innovations.
- How the information can be spread to the people.
(Pagoto, Sherry, Bennett, Gary G., 2013)
The future of well-being is in our hands, being linked and globalized can be the solution for a high-quality life.
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References
S Collins, S Roy, R Masitha. Paying for It: How Health Care Costs and Medical Debt Are Making Americans Sicker and Poorer. Available on: https://www.commonwealthfund.org
Pagoto, Sherry, Bennett, Gary G., How behavioral science can advance digital health, Translational Behavioral Medicine, Transl Behav Med, 2013
Ching-Hung Lee, Chang Wang, Xiaojing Fan, Fan Li, Chun-Hsien Chen, Artificial intelligence-enabled digital transformation in elderly healthcare field: Scoping review, Advanced Engineering. Informatics, Volume 55, 2023, 101874, ISSN 1474-0346, Retrieved from www.sciencedirect.com