Sleep apnea AI tool uses 0s and 1s to increase ZZZs – Sanford Health News

Doctors at Sanford Health will soon use augmented intelligence to scan electronic medical records for dozens of factors that could indicate a patient suffers from obstructive sleep apnea.

Those 67 indicators include body mass index (BMI), age, gender, medical history, clinical symptoms and blood work, among other factors. The physician also conducts a sleepiness questionnaire asking people how tired they are throughout the day. Combined, the information outputs a score of how likely the patient has the condition that afflicts millions of Americans by reducing airflow as they sleep.

Max Weaver, the Sanford Health business intelligence analyst who developed the tool, said the goal is simple.

Helping physicians provide the best quality of care, he said. This model does that by using mathematical modeling to narrow the population down. Its really from 1 million to perhaps 50,000. That kind of scale.

Kevin Faber, M.D., is chair and medical director of sleep medicine at Sanford Health in Fargo, North Dakota, and the projects provider champion. He said its a powerful way to reduce unneeded testing, maximize the physicians time and help patients.

Its a tool to help identify risk. Its not the diagnosis. It doesnt replace the need for a sleep test. It doesnt replace the need for the sleep consult for many patients. But its a tool that can help the primary care practitioner be ultra-efficient with his or her time, as they have precious few minutes with their patients and need to do the things that have the biggest impact, he said.

This tool will allow them to then identify those patients at highest risk, so we can treat them for a condition that they didnt know they had.

Unlike many medical conditions accompanied by pain, discomfort or visible symptoms that prompt people to go to the doctor, most sleep apnea sufferers are unaware of it, Dr. Faber said.

The problem is we need a way to identify the group of people who dont know they have the condition and therefore dont know to seek care, he said.

Intrinsic sleep disorders like sleep apnea are typically unknown by the patient because theyre happening at a time when the patient cant be aware of it. And the moment they could be aware of it, once they wake up, the problem is instantly gone.

Its especially difficult if the person doesnt have a bed partner or someone who is with them when theyre sleeping to let them know they regularly stop breathing or snore loudly, Dr. Faber said.

There are lots and lots of people who have no clue this is going on, he said of the roughly 1 out of 5 patients who have it.

Which means that we have tens of millions of people in our country alone, including at least hundreds of thousands in the Sanford footprint that likely have at least mild obstructive sleep apnea.

Thats why health care providers need better, more efficient tools that spot possible sleep disorders, so a doctor can quickly and accurately diagnose them and prescribe a treatment, Dr. Faber said.

He likens sleep apnea to being the base, a contributing cause, of a whole pyramid of metabolic, cardiovascular and neurocognitive health problems. When people are finally diagnosed, only then do some realize how much their poor sleep contributed to overall poor health.

They dont know that that untreated sleep apnea is what is causing their blood pressure to be so difficult to control, or their diabetes to be so difficult to manage. That it impacts their depression or their anxiety so much and thats why theyre having a harder time controlling it, Dr. Faber said. Sleeping pills dont help because the issue isnt that you need to sedate your brain. The issue is you cant stay asleep because you stop breathing over and over.

Thats where big data and tools like this AI project come in, he said.

Each persons electronic medical record already stores countless vital signs, laboratory results, medical history and other data. The artificial intelligence filters through all that information and ranks each persons chance of having sleep apnea as low, medium or high. Smoking is a risk factor, for example, but not for others who dont smoke.

If you have only a couple of those risk factors, you would be at very low risk. If you had 50 out of those 67, youd imagine Holy smokes, theyre at a much higher risk. Theres a weighting of each of those risk factors. Each has a different impact, Dr. Faber said.

Besides showing the overall risk, the tool displays the top five factors driving the score in that patient, which will change over time if the person, for example, stops smoking, loses weight or controls their diabetes.

This AI algorithm automatically adjusts all of that, Dr. Faber said. For the primary care provider who wants to know, Why is my patient at high risk? he or she can simply mouse over the icon and theres your top five risk factors for that patient. Six months later those top five might be different. There will be an automatic re-analysis of every patients risk every month.

Once a patient is identified as being at higher risk, the provider may either refer them to the sleep clinic for evaluation and a traditional sleep study or they may order a home sleep test conducted through their primary clinic. These tests monitor the patients sleep to count how many times they stop breathing during the night.

Its not feasible for the number of patients we have in Sanford Health population to administer a traditional sleep study on every patient, Weaver said. So that provider, rather than sifting through hundreds of data points about one patient, let alone all the patients they have, can see whos at the highest risk to administer that sleep apnea test. It really narrows it down.

Patients with mild sleep apnea likely wont need an additional sleep study if the home sleep test identifies the problem and initial treatment is effective and well-tolerated by the patient, Dr. Faber said. That saves them time and money. It also prevents unnecessary delays in treatment along with the additional travel and associated expenses, he said.

The main treatment options were once weight loss and continuous positive airway pressure (CPAP) therapy. Now the options also include oral appliances that move the lower jaw forward, some surgeries and Inspire therapy that uses an implanted device for those who dont tolerate CPAP.

All of this stuff is not to simply identify whos at risk but to find whatever the right treatment for their apnea is, which is going to vary from one person to another, Dr. Faber said.

I have some amazing stories, tear-jerking stories actually, of the success that getting rid of moderate to severe sleep apnea can have on somebodys life who was previously unable to treat it because they couldnt tolerate having a mask on their face.

Weaver has validated the model and received Sanford Health stakeholder approval and now is working with the technology team to add the AI tool to the emergency medical record system. Weaver said hes unaware of anything else like it on the market.

Its a big population health initiative that has the potential to help not only the health and welfare and quality of life of the people in the Sanford footprint, Dr. Faber said. But it also helps to lower the cost of care because fewer people have uncontrolled diabetes, hypertension, heart attacks and strokes, all those things that cost the health system, the health plan and therefore individual patients more money.

Posted In Fargo, Innovations, Sleep Medicine, Specialty Care

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Sleep apnea AI tool uses 0s and 1s to increase ZZZs - Sanford Health News