The economics of early detection and prevention: How earlier diagnosis lowers long-term health system costs

• Aging populations, rising chronic disease burden, and workforce shortages are increasing pressure on healthcare systems and accelerating the shift toward prevention, earlier diagnosis, and timely intervention 
• Early detection and prevention strategies can help reduce long-term healthcare costs by lowering avoidable complications, improving hospital utilization, and decreasing the economic burden of reactive care
• Advances in diagnostics and predictive analytics can help healthcare systems identify risk earlier and deliver more targeted, prevention-focused care

Globally, healthcare systems are facing mounting pressures. Aging populations, rising rates of chronic disease, workforce shortages, and increasing healthcare costs are straining care delivery and resources, with these pressures expected to intensify in the coming decades.^1,2 Healthcare leaders must adapt to meet these growing demands.

Traditional models of care have largely focused on treating illness reactively, but the economic burden of treatment-driven care remains high.^1,2 At the same time, chronic underinvestment in diagnostic capacity—including laboratory infrastructure, imaging, and in vitro diagnostics (IVDs)—undermines the ability of healthcare systems to detect disease earlier and intervene before conditions become more complex and costly to manage.^3-5

Healthcare systems that invest in targeted, evidence-based preventive strategies, along with a robust diagnostic strategy, can improve population health while creating measurable economic value.^2,3,5,6

By 2030, 1.4 billion people worldwide will be aged 60 and over. By 2050, this figure is expected to rise to 2.1 billion.⁷ As populations age, the prevalence of chronic disease and multimorbidity also increases, contributing to rising demands on already stretched healthcare systems.^7,8 Chronic conditions such as cancer, cardiovascular conditions, chronic respiratory disease, and diabetes create significant economic pressure on healthcare systems due to the costs associated with screening, diagnosis, long-term management, and palliative care.^8,9

While lifestyle factors remain important in reducing disease risk and supporting healthier aging, diagnostic innovations are increasingly enabling earlier detection of diseases, sometimes even decades before symptoms appear.^2,4,7,8 Emerging diagnostic technologies, such as blood-based biomarkers (BBMs), may help detect diseases such as Alzheimer's earlier, supporting more proactive and personalized treatment.¹⁰

For healthcare leaders, this creates a clear opportunity to shift resources toward prevention-focused models of care. Primary prevention, coupled with secondary prevention strategies, such as early detection, reduces the need for intensive and costly treatment and helps to lower avoidable complications.^2,5,9

Many health systems still face challenges in delivering timely and accurate diagnoses.⁵ Delayed diagnosis can lead to increased hospitalization and emergency interventions, placing additional strain on healthcare organizations.^1,5 Diabetes alone accounted for an estimated USD 670 billion in treatment and complication prevention costs across Organization for Economic Co-operation and Development (OECD) countries in 2021.⁸

Cancer illustrates the economic and clinical impact of delayed diagnosis. Patients diagnosed at later stages of cancer consistently incur higher treatment costs and experience poorer care compared with those diagnosed earlier.^5,11 One UK study found that the average treatment cost for patients diagnosed at an early stage was GBP 11.2K per patient, compared with GBP 23.8K for those diagnosed at later stages.¹² Delayed treatment can further affect care, with evidence showing that even a four-week delay in cancer treatment is linked to higher mortality.¹³

Delayed diagnosis and gaps in diagnostic access can contribute to avoidable downstream healthcare spending, greater treatment intensity, and poorer patient care. Strengthening diagnostic capacity and improving access to earlier detection strategies can help healthcare systems reduce long-term costs while improving care delivery.^1,3,5

Investing in early detection and preventive care is becoming a strategic priority for healthcare systems. Analysis from Deloitte suggests that investment in prevention may yield substantial economic returns, with every one pound invested in early-life interventions such as diet, exercise, and vaccination estimated to generate a return of GBP 13.50.⁶

National healthcare strategies increasingly reflect this shift toward prevention-focused care. In the UK’s 2025 10-Year Health Plan, the National Health Service (NHS) states that only by moving towards prevention can the NHS shift from being a “sickness service” to a “health service.”² The plan also highlights that secondary prevention strategies, including cancer screening and early diagnosis, may help deliver more immediate health and economic benefits.² In fact, Deloitte analysis suggests that increasing NHS spending from 6% to 10% could yield GBP 42 billion in healthcare savings over 10 years.⁶

Expanding access to diagnostics within primary and community care settings may help healthcare systems identify disease earlier and intervene before conditions progress to more complex and costly stages. Screening programs, Point of Care (POC) testing, and routine risk assessment in primary care can improve care coordination, accelerate clinical action, and reduce pressure on acute services.^1,2,5,14

High uptake of early detection and screening programs for cancer, hypertension, high cholesterol, and diabetes through primary care may help reduce hospital utilization and improve resource allocation—over time contributing to improved financial sustainability across healthcare systems.^2,6

Timely and accurate diagnosis plays a fundamental role in preventive healthcare.^2,5 Underdiagnosis and delayed diagnosis can contribute to poorer care and increased healthcare costs. Reducing diagnostic error also has important economic implications. The OECD estimates that cutting diagnostic error rates in half could improve healthcare efficiency and generate savings equivalent to 8% of healthcare expenditure.⁵

By leveraging genomics, predictive analytics, and artificial intelligence (AI)-supported tools, forward-looking healthcare systems will be better equipped to identify risk earlier and support more proactive care.^2,6,15 New tools that help clinicians assess disease risk also enable earlier detection by identifying high-risk individuals and populations sooner. These technologies can also support personalized prevention and treatment.^2,6,15

Biomarker testing is also playing an increasingly important role across multiple disease areas, including oncology, neurology, and cardiovascular care.^16,17 Biomarkers may support risk stratification, monitor disease progression, and help guide more personalized treatment decisions across the care pathway. The integration of biomarker testing into screening, diagnosis, and long-term disease management can improve patient care while reducing the long-term economic burden associated with delayed diagnosis, advanced disease, and avoidable complications.^10,16,17

Implementing preventative healthcare solutions can present challenges, including budget pressures, workforce constraints, and fragmented care systems. Despite these barriers, healthcare organizations are increasingly adopting practical strategies to advance prevention and early intervention:

1. Strengthen primary care and community services: Integrating diagnostics, screening, and POC testing into primary and community care services can enable earlier risk identification, improve chronic disease management, and reduce avoidable pressure on acute healthcare services.^1,2,9,14
2. Prioritize high-burden disease areas: Focusing on high-burden disease areas such as diabetes, cardiovascular disease, smoking-related illness, and vaccine-preventable conditions can help healthcare systems direct resources toward preventative interventions with the greatest long-term value.^2,6,8
3. Integrate preventive care across care pathways: Prevention strategies such as routine screening, risk assessment, and ongoing diagnostic monitoring should be embedded throughout care pathways to enable earlier intervention and more proactive chronic disease management.^1,2,5,6
4. Use data and predictive tools to support prevention: Expanding the use of AI-enabled clinical decision support systems (CDSS) can help identify higher-risk patients earlier and support more proactive, personalized care management.^15,18

Together, these strategies can help healthcare organizations build more proactive, sustainable, and prevention-focused models of care while improving long-term operations.

Healthcare systems worldwide are facing growing pressure from aging populations, rising disease burden, budget constraints, and workforce shortages. These challenges are increasing demand on healthcare services and highlighting the need for more sustainable and prevention-focused models of care.^1,2,6,7

Early detection and intervention help reduce disease progression, lower hospital utilization, and prevent avoidable complications, contributing to better overall patient care and more efficient use of resources.^1,2,5,11,13 But prevention is not only a clinical priority—it is an important economic strategy for reducing healthcare costs and improving long-term financial sustainability.

As healthcare systems look to improve their long-term resilience, investment in diagnostics, screening, and earlier detection strategies plays an increasingly important role in reducing avoidable downstream costs and improving care delivery.^2,3,5,6 Targeted, evidence-based diagnostic approaches can help healthcare systems identify risk earlier, improve patient care, and reduce the economic burden associated with advanced disease and avoidable complications.^3,5,15,16,18