A Finnish review finds significant deficiencies in how studies evaluate and report the economic impact of healthcare AI.
Key Details
- 1Few robust studies exist examining AI's economic impact in Western healthcare.
- 2Over half of reviewed papers did not frame their work as economic evaluation studies.
- 3Many AI studies lack consistent reporting, especially regarding costs and technical implementation.
- 4AI systems' complex interdependencies and ongoing maintenance needs are underreported.
- 5Authors call for unified economic evaluation and reporting guidelines for healthcare AI.
Why It Matters
Thorough economic evaluation and transparent reporting are vital for AI adoption in radiology and healthcare. Without standardized guidelines, cost-conscious decision makers cannot accurately assess AI's value, potentially hindering its uptake and reimbursement.
Source
AI in Healthcare
Related News
•AuntMinnie
AI for Breast Cancer Screening Not Cost-Effective, Study Finds
AI-assisted breast cancer screening showed minor clinical benefits over DBT alone but was not cost-effective at standard willingness-to-pay thresholds.
•AuntMinnie
AI Device Manufacturers Paid $39.7M for Radiology Between 2017–2023
AI/ML-enabled medical device firms paid $39.7 million for radiology devices from 2017–2023, raising transparency concerns.
•Radiology Business
AI-Generated Reports Cut Radiology Reading Times and Gain Acceptance
AI-generated reporting significantly reduces radiologists' reading times and increases report acceptability over time.