There is no denying the major role Artificial Intelligence (AI) plays in the medical field for both doctors and patients. It has made medical diagnosis and treatments much faster and more efficient. With the adoption of AI, patients can now seamlessly manage their case files from the comfort of their homes. Doctors, on the other hand, can now fast-track treatment and ensure more accurate identification and management of cases.
With all of the breakthroughs that AI is known for, it is not without its shortcomings. While some of these shortcomings are minor, others can have very damaging results on patients. To determine liability in a medical malpractice case involving the use of AI, here are some key things to note:
1. Assessing the Standard of Care
“The starting point for determining liability in any medical malpractice case is to determine the standard of care that is expected for the given treatment or procedure,” says attorney Michael Duffy of Duffy & Duffy, PLLC.
To do this, it is vital to consider whether the healthcare provider has exhibited the care standard expected of that situation. Another way is to consider what an equally experienced provider will do in that situation. If, after all this, it is discovered that the person or hospital acted short of the required standard of care, they may be liable for the outcomes.
2. Hospital Systems and Protocols
As much as artificial intelligence use is being encouraged in hospital systems, the hospitals are not without their responsibility. They are required to ensure they have systems and protocols in place that continually check the effectiveness of these AI structures. When there is a lack of such systems and protocols or the hospital fails to act on them, it can result in the hospital being liable.
3. Shared or Comparative Liability
In many cases, liability is shared between multiple parties. For example, a doctor might misinterpret AI advice, while the AI developer provided a flawed algorithm. Courts, therefore, examine the circumstances and assign responsibility based on how each party contributed to the harm. Damages may be divided among healthcare providers, hospitals, and technology developers, depending on what evidence is presented. This approach allows for a fair distribution of responsibility.
4. Defects in Software
Developers of AI technology may also share liability if their software is defective or unsafe. To determine this, courts assess whether the AI was properly tested and validated, and whether it is free from design flaws. If the AI’s malfunction or poor design contributes to injury, developers can be held responsible. However, the liability depends on how much the developer’s action contributed to the harm.
Also, developers are expected to provide accurate instructions, warnings, and updates for their AI systems. Failure to do so can result in legal responsibility if harm occurs.
5. Lack of Informed Consent
Liability can also be determined based on whether the patient was properly informed about the use of AI. Doctors should explain how AI will assist in diagnosis or treatment and its possible risks. If a patient was not informed and harm occurred, the doctor or hospital could be held responsible. Proper informed consent shows that patients had a choice and understood AI’s role.
Informed consent also includes documenting the discussion and getting agreement in writing. Courts look at this agreement to see whether the patient’s rights were respected.
6. Poor Compliance With Regulations and Guidelines
As new technologies continue to emerge, regulations are being introduced to direct the safe use of these technologies. For the use of Artificial Intelligence in the medical field, there are certain safety regulations that have been made, which must be fully complied with at all times.
When any hospital or healthcare provider is found wanting in complying with the defined regulations, they could be made liable. To ensure that your healthcare provider is not in full compliance with laid-down regulations for AI use, the assistance of a skilled medical malpractice attorney may be necessary.
Conclusion
Medical malpractice cases are, by their nature, complex when determining liability. This complexity goes a step higher with the introduction and adoption of artificial intelligence in the field.
If you or any of your loved ones have suffered medical malpractice involving the use of AI, you may want to consider speaking with a New York medical malpractice attorney for help. They can carefully analyze your case and help you navigate it more effectively.
