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What is an AI Medical Chronology?

What a medical chronology is, why it has always been so hard to build, and what an AI Medical Chronology has to get right, with a sample orthopedic case you can explore yourself.

What is a medical chronology?

To understand what an AI Medical Chronology is, first we have to understand what a Medical Chronology is. A med-chron, short for medical chronology, is a document that organizes the timeline of all the medical events of a person, whether that is a patient, in the case of medicine, or a claimant, in the case of med-legal, looking to claim financial compensation.

This form of document has been used mainly by doctors to understand the patient, because it is important to know the sequence of events that happened to a patient in order to provide an expert opinion. As for an attorney, it is important to know for the purpose of causation, which leads to the determination of financial compensation: whether the damages were a natural event or were caused by a third party.

Why medical chronologies are so hard to build

For many years, this chronology has been prepared by people such as physicians, nurses, attorneys, or legal and medical staff. The main problem is that medical documents are messy, and they change all the time due to the continuous treatment or injuries of a living person and the uncovering of missing records. It is the most time-consuming process in the medical-legal field. One incorrectly captured event might be the difference of millions of dollars or, worse, life and death.

For the past decades, this work has been passed down from the most highly skilled medical experts to staff with less and less medical knowledge due to the cost of human labor. More recently, much of the work has been outsourced to other countries such as India and the Philippines. By outsourcing a lot of the work, some medical or legal offices accidentally leak personal health information, with or without their knowledge. It is a well-known problem in the industry that people don’t like to talk about, because it was a problem that could not be fixed, until now.

What an AI Medical Chronology does

AI Medical Chronology solves this issue by using artificial intelligence to read messy medical records and organize them into a medical chronology that legal and medical experts can now use as the window into the medical history of the individual.

Why AI is not a silver bullet

However, this is not a silver bullet. The reason is that even with all the advancements in AI, the large language models used for most AI medical chronologies hallucinate, giving false or inaccurate information that can jeopardize everything the physician and attorney need to form their expert opinions. There are many technical reasons behind this. Large language models are trained on enormous amounts of data, and sometimes they have a memory problem: sometimes they will not use their near-term memory, such as the records they are reviewing, and will instead use other memory deep down in the model layers that was ingested during the training process.

What a good AI Medical Chronology needs

That is why creating an AI Medical Chronology is not as easy as it sounds. Using a consumer AI product to create a Medical Chronology is like taking an off-the-shelf medication for a very serious illness. A good AI Medical Chronology needs to be able to capture all the events precisely, reference the actual record word for word without hallucination, and adapt in real time as records evolve.

How Superinsight approaches it

That is why, for the last three years, our team at Superinsight has been focused on creating the best AI medical chronology possible, using our proprietary technology as well as all the advancements in AI. Today, Superinsight has over 500 attorneys using our AI Medical Chronology to do their legal work, as well as thousands of physicians using it for medical-legal review and to provide expert opinions for claimants. Below is an example of what an AI Medical Chronology should do: organize the timeline of events, use citations to point back to the original record, and include each event verbatim instead of summarizing it.

Interactive example

Explore a sample AI Medical Chronology

John Doe is a synthetic orthopedic personal injury claimant who injured his right knee in a rear-end collision. Every name, date, provider, and record in this case is made up.

  • Open a citation on any entry to see the source page, with the quoted text highlighted.
  • Switch to the summary view to see what a summarized chronology drops or gets wrong.
  • Receive new records to watch the chronology re-sort itself and flag a contradiction the earlier records hid.

Doe, John Sample case · synthetic data

Orthopedic personal injury · DOB 03/14/1978 · Date of loss 01/08/2025

Records in this case

      Synthetic sample for illustration. The summaries in the summary view are written to show common failure modes; they are not output from any specific product.

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      See it on one of your own files

      Upload a case and read the chronology yourself. The evaluation costs nothing and there is no limit on cases or pages.