AI and Value-Based Care: Machine Learning’s Potential in Reducing Healthcare Waste

By Michael Awood

October 8, 2023

According to a new study, the United States wastes $1 trillion a year on healthcare. The staggering cost of inefficiency is higher than the world’s 17th-biggest country’s GDP. Waste in healthcare affects patient care, the speed of organisations, and the cost of materials. Mistakes and wasteful spending are more likely in the healthcare system due to its complexity. This severely reduces the effectiveness of treatment.

Value-based care methods were created to deal with this issue. They promote cost-effective clinical results that lead to high-quality care at a fair price. In a data-rich environment, making decisions can become too complicated. These things cause mistakes, which make it harder to get high-value care, which wastes more time and money.

Putting this in perspective, about 80,000 people die every year in the US because of inaccurate outcomes. Even with the most up-to-date training and tools, healthcare still has problems. Maintaining awareness of the growing amount of medical info requires a lot of mental effort.

With the help of Machine Learning, both the number of mistakes and the amount of resources used could go down. Algorithms can now be used to make diagnoses instead of the human equivalent, i.e: radiologists, pathologists, and doctors. By using automations such as event reporting, you can keep patients safe. Putting together local, real-time data from institutions and social media could help with public health management and change how we predict future epidemics.

ML might be able to make personalised treatment plans for each patient based on genetic information, clinical presentation factors, and information about the patient’s past. This means that patients get more personalised care, go through fewer therapies that are unsuccessful, and have better overall outcomes.

But these changes also bring about new problems. Problems exist with both the quality of the data and our ability to understand the data that machines create. Accountability for mistakes and bad outcomes, as well as protecting patients’ privacy, are challenging.

Rising healthcare costs not only hurt countries in significant amounts, but they also threaten the foundations of value-based medicine. When it comes to keeping our healthcare system safe, ML shows itself to be a strong tool with immense potential. While there isn’t a guaranteed way to make healthcare better without also making it more efficient, ML shows promise in this area.

Reference url

Recent Posts

hypertension young adults
   

Hypertension in Young South African Adults

🩺 Are young South Africans facing a hidden health crisis?

A recent study uncovers alarming rates of hypertension among adults aged 24 to 40, revealing that 27.5% of women and 20.4% of men are affected. The research highlights a troubling lack of awareness about this serious condition and emphasizes the vital role of community health workers in prevention and management strategies.

Curious about how we can tackle this growing issue? Dive into the full article now!

#SyenzaNews #HealthEconomics #HealthcareInnovation

CKD prevalence HIV TDF
    

CKD Prevalence in HIV Patients on TDF: A Global Perspective

🔍 Did you know that 7% of people living with HIV on Tenofovir Disoproxil Fumarate (TDF) regimens may face chronic kidney disease (CKD)?

A recent systematic review reveals alarming insights into the prevalence and associated risk factors for CKD among this population. Key findings include significant correlations with low CD4 counts and female gender, highlighting the urgent need for regular renal monitoring and early intervention strategies.

Explore the full article to learn about the implications for healthcare policy and the importance of proactive measures in managing CKD among PLWHIV.

#SyenzaNews #HealthcareInnovation #HealthEconomics #GlobalHealth

patient-led cancer registry
     

South Africa Launches Patient-Led Cancer Registry

📊 Are we truly capturing the full landscape of cancer care in South Africa?

A new patient-led cancer registry aims to transform data collection, empowering patients to report their diagnoses online. This initiative is set to fill critical gaps in current cancer statistics, enabling better resource allocation and improving cancer care policies.

Explore how patient involvement can reshape healthcare data in South Africa!

#SyenzaNews #HealthcareInnovation #HealthEconomics #resourceallocation

When you partner with Syenza, it’s like a Nuclear Fusion.

Our expertise are combined with yours, and we contribute clinical expertise and advanced degrees in health policy, health economics, systems analysis, public finance, business, and project management. You’ll also feel our high-impact global and local perspectives with cultural intelligence.

SPEAK WITH US

CORRESPONDENCE ADDRESS

1950 W. Corporate Way, Suite 95478
Anaheim, CA 92801, USA

© 2025 Syenza™. All rights reserved.