The economics of diagnostic safety
Open accessAbstract
Diagnosis is complex and iterative, therefore liable to error in accurately and timely identifying underlying health problems, and communicating these to patients. Up to 15% of diagnoses are estimated to be inaccurate, delayed or wrong. Diagnostic errors negatively impact patient outcomes and increase use of healthcare resources. The direct financial burden of misdiagnosis, underdiagnosis and overdiagnosis combined is estimated to be 17.5% of total healthcare expenditure, or 1.8% of GDP in a typical OECD country where one tenth of GDP is spent on health care. Reducing diagnostic error has the potential for large cost savings through improvements in healthcare efficiency and reductions in patient harm. Halving rates of diagnostic error could lead to savings of 8% of healthcare expenditure. This report 1) defines the scope of diagnostic error, 2) illustrates the burden of diagnostic error in commonly diagnosed conditions, 3) estimates the direct costs of diagnostic error, and 4) provides policy options to improve diagnostic safety.
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The socioeconomic burden of diagnostic errors is estimated to affect up to 1.8% of GDP in developed economies.
“While the architectural overhead of agentic orchestration is significant, the socioeconomic burden of diagnostic errors, which is estimated to affect up to 1.8% of GDP in developed economies, provides a strong argument for the “accuracy premium” offered by collaborative designs [55].”
From A Review of Multi-Agent AI Systems for Biological and Clinical Data Analysis (2026) · cites this paper as [55]
Section 133 estimates the direct cost of diagnostic error at about 1.8% of GDP in a typical OECD country. The citing sentence calls this a socioeconomic burden, but the paper identifies the 1.8% figure as a direct healthcare cost; section 134 says indirect economic costs are difficult to estimate. (LLM, conf=0.88)
Experimental — accuracy not yet measuredRecent evaluations indicate that structured agentic panels can reduce complex diagnostic expenditures from approximately $7850 to $2397 while significantly increasing specificity over human specialists.
“Recent evaluations indicate that structured agentic panels can reduce complex diagnostic expenditures from approximately $7850 to $2397 while significantly increasing specificity over human specialists [54,55].”
From A Review of Multi-Agent AI Systems for Biological and Clinical Data Analysis (2026) · cites this paper as [55]
Sections 222 and 236 discuss possible diagnostic benefits of AI and potential cost savings, but neither reports an evaluation of structured agentic panels. Searches for “agentic panels,” $7,850, $2,397, and specificity relative to human specialists found no passage supporting the claimed results. (LLM, conf=0.76)
Experimental — accuracy not yet measuredIn low-risk environments, the marginal gains of multi-agent deliberation do not offset the increased latency, API costs, or computational footprint.
“In these low-risk environments, the marginal gains do not offset the increased latency, API costs, or computational footprint [41,55].”
From A Review of Multi-Agent AI Systems for Biological and Clinical Data Analysis (2026) · cites this paper as [55]
Section 14 discusses when the cost of additional diagnostic testing exceeds its benefit, and section 237 says AI’s carbon costs should be considered. Neither addresses multi-agent deliberation in low-risk environments or compares its gains with latency, API costs, and computational footprint. Searches for those terms found no passage making the attributed claim. (LLM, conf=0.76)
Experimental — accuracy not yet measured
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- Authors
- Slawomirski, L., Kelly, D., de Bienassis, K., Kallas, K.-A., & Klazinga, N.
- Venue
- OECD Health Working Papers
- Published
- 2025-03-28
- ISSN
- 1815-2015 (ISSN-L)
- OpenAlex
- W4408812066
- Cited by
- 20
- References
- 0
- Citations by year
- 2026: 15 · 2025: 5
- Type
- report
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- other-oa
- Locations
- OECD health working papers (publishedVersion, other-oa)
- Topics
- Health Sciences › Medicine › Family Practice › Clinical Reasoning and Diagnostic Skills
- Health Sciences › Health Professions › General Health Professions › Healthcare cost, quality, practices
- Health Sciences › Health Professions › Emergency Medical Services › Patient Safety and Medication Errors
- Keywords
- diagnostic errors, diagnostic safety, misdiagnosis, underdiagnosis, overdiagnosis, health care costs, patient harm, health care expenditure
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