Medical errors are a leading cause of injury in the United States, although it is possible that emerging technologies like artificial intelligence (AI) can help to reduce related risks. AI tools are increasingly being used in healthcare, not to replace physicians, but to support their decision-making and minimize mistakes that can potentially harm patients.
One of the biggest potential advantages of utilizing AI in a medical context is its ability to process large volumes of data quickly. Doctors often face information overload when reviewing medical records, lab results and imaging scans. AI programs can scan for patterns that a busy physician might miss, such as subtle changes in test results that suggest a worsening condition or an early sign of disease. For example, AI-powered diagnostic tools have shown promise in detecting cancers, strokes and infections earlier than traditional methods. Early detection can potentially help to reduce the chances of misdiagnosis and allow treatment to begin sooner.
AI can also help prevent medication errors, which are among the most common mistakes in healthcare. Automated systems can flag potential drug interactions, dosing errors or allergies before prescriptions are finalized. This safeguard can be particularly valuable in hospitals, where patients may receive multiple medications from different providers. AI-driven reminders and alerts provide an extra layer of protection against harmful oversights.
Another area where AI is proving useful is in surgical and hospital settings. AI-assisted robotics can support surgeons with precision and consistency, lowering the risk of accidental harm. Predictive analytics can also help hospitals anticipate patient complications, such as infections or respiratory distress, allowing staff to intervene before conditions worsen.
And yet, AI can also lead to danger for patients
However, while AI holds promise, it is not foolproof. AI systems depend on the quality of the data they are trained on, and errors in that data can lead to flawed results. There is also the danger of doctors relying too heavily on automated recommendations instead of exercising independent judgment.
AI should be viewed as a tool to assist physicians, not as a replacement for professional support. If overreliance on AI leads to medical negligence resulting in harm, patients may have a cause to file legal action, just as they would if mistakes were made without the use of AI that resulted in negative outcomes.