Medical malpractice is when a medical professional’s care falls below accepted standards, causing patient injury, worsening an existing condition, or death through errors such as misdiagnosis, surgical mistakes or medication errors. The rise of AI in all industries is apparent, with it being used in everything from quality control to predictive maintenance, and now it’s starting to make its way into the medical industry. AI and smart healthcare technologies are a great answer as a tool to address preventable medical errors.
This blog aims to address the central question, which is whether artificial intelligence can meaningfully reduce medical malpractice, and if so, how it will do this to a better standard than already observed. Topics that will be explored throughout this blog are diagnostics, decision support, monitoring and legal implications of the use of AI in medical malpractice.
Understanding Medical Malpractice and Patient Safety
Medical malpractice is more common than you may think, with missed or delayed diagnosis, medication errors, surgical mistakes and failure to monitor patients properly happening every day. In a recent survey, around 1 in 20 patients experience preventable harm, often related to drugs or treatments. It’s also observed that 12% of these cases lead to lifelong disability or even death, displaying it as a major problem that needs to be solved through radical change and moderation.
Some of the most common contributing factors to medical malpractice are human error and cognitive bias, time pressure and clinician burn out, communication breakdowns and complexity of modern healthcare systems. And even when there are traditional safeguards put in place, these do not always work, and problems still slip through the cracks.
What is AI in Healthcare?
AI can be defined as a set of technologies that empowers computers to learn, reason and perform a variety of advanced tasks in a way that used to require human intelligence. Today, AI in medical care helps to achieve predictive analysis, image recognition in radiology and pathology and natural language processing in medical records, which means simplifying jargon.
AI is not a tool aimed to be a replacement for doctors and clinicians but a support tool to help them be more accurate and to save precious time to complete more important and time-consuming tasks.
How can AI reduce medical errors?
Improved Diagnosis and Early Detection
AI algorithms can match clinicians in certain diagnostic tasks by collecting symptoms and any issues that patients have, and using imaging and pattern recognition to accurately identify what is wrong with the patient. It could also identify any early symptoms through further pattern recognition, meaning that there is less missed or delayed diagnosis, which in some cases can be fatal and miss widows to treat terminal illnesses.
Medication Safety and Error Prevention
AI-powered systems can flag dangerous drug interactions, dosage errors and allergies that doctors may not know of or may forget to check before prescribing medication. Elements such as real-time alerts can reduce prescribing and administration mistakes, which can lead to worsening existing conditions or even cause death in the worst cases.
Clinical Decision Support and Standardisation
AI provides evidence-based treatment recommendations based on published articles and research, meaning that everything is accurate according to science. This reduces variability in care and ensures that everyone receives the same high standard of care, whilst also supporting less experienced clinicians who may want a second opinion or extra information surrounding a diagnosis. It also ensures that under high pressure situations, doctors do not miss important symptoms or rush into treatments that may not be well thought out, avoiding incorrect treatments.
Limitations and Risks of AI in Malpractice Prevention
Even though there are many positives to using AI, there can be drawbacks and limitations to using AI in the medical field. As AI can only draw on previously published articles and data, AI could use old, incomplete or biased information. It has already been proven that AI relies on biased data, therefore it is highly probable that this could happen. Also, AI is still possible for AI to be wrong, so it may still lead to patient harm.
On the topic of security and data privacy concerns, AI can lead to high-risk data leaks that could be detrimental for patients and hospitals; therefore hospitals would have to invest greatly in security and data protection methods. There is also the question of liability when it comes to AI misdiagnosis. If there is harm due to misdiagnosis, who will be held accountable for the errors. This could mean that patients who do get ill or life long disabilities cannot get justice.
Conclusion
Can AI significantly reduce medical malpractice? It can reduce medical malpractice but not eliminate it, as AI is most effective when combined with human judgment as a recommendation. Smart technology has the potential to transform patient safety and reshape the future of healthcare, even when it comes to hiring medical malpractice solicitors in the case of negligence within medicine.