Limitations are those aspects of healthcare analytics that may never be overcome. What are some limitations of healthcare analytics?

• Robots and computers are not human, and they currently cannot replace a human's ability to offer comfort and empathy in the face of pain, illness, or death.
• Technologies such as neural networks, while they may offer accurate predictions, suffer from the black box problem—they cannot explain their reasoning or logic to the patient. Therefore, a patient may not trust a neural network completely the way a patient trusts a good physician.
• While the field of machine learning is constantly changing, time series and natural language processing are particularly important in the field of healthcare, and these areas are weaknesses of machine learning algorithms as opposed to structured clinical data. It may be some time before an algorithm can be written that reads text, makes generalizations, and asks relevant questions like humans do.