How Military Intelligence Helps Physicians Combat Patient Data Overload

Two-minute AI profile saves doctor time-consuming medical records

On average, a doctor’s appointment lasts about 20 minutes – 30 if you’re lucky. The doctor sees dozens of patients, many with complex histories and taking a range of medications. Every detail is important, but it’s impossible for a doctor to follow everything.

Enter Navina (“Together We Understand” in Hebrew), a platform that uses AI to present a doctor with a comprehensive, in-depth medical history that they can read and digest in two minutes.

It presents them with information about a patient’s risk factors, diseases and treatments, in an easy-to-read patient profile accessible via a smartphone app. They no longer need to sift through a mass of files dating back months and years from different hospitals and different specialists.

The company was founded by two former intelligence officers who pioneered the use of AI during their time in the IDF to present military commanders with the data they needed, when they needed it.

They are now adapting this model to help busy doctors who need to have all relevant data at their fingertips as soon as their patient walks into surgery.

Navina says it transforms “chaotic data into actionable patient portraits.” The portrait replaces disorganized patient data with a logic grid that allows a primary care physician to access a patient’s medical records in seconds.

Navina’s Patient Portrait provides a one-page summary with essential information from many sources, including images, emails and faxes that are difficult for physicians to find themselves.

The team teaches the machine how to extract the right data, regardless of the source. To do this, Navina has developed NLP (Natural Language Processing) models that extract and structure data using deep learning. with special codes for specific terminology.

Ronen Lavi, co-founder and CEO of Navina, compares the profile to what happens when you do a Google search on a person, where clicking to search will give you a page that is a roundup of the person with a photo , a biography, information about life experiences and articles that correlate with the person. Similarly, Navina would present a contextual summary of a patient’s most relevant medical information so doctors can understand their medical condition.

Navina presents the doctor with a detailed two-minute patient profile. Deposit photos

“We built algorithms to do two main things. First, you have a lot of unstructured data — a lot of text. In a process called entity extraction, we extract all the right relevant codes from the text, all the labs, all the drugs, all the problems, all the diagnoses, using machine learning (ML) capabilities. Then we build a knowledge graph that connects all the data,” he tells NoCamels.

“For a problem like blood pressure, [the profile] will show you the right medication, the right consultation notes, the right lab tests, everything is correlated and explained to the doctor. Those are the two main things we do behind the scenes,” he says, noting that it’s about taking all the information, correlating it, and then creating a link that gives you a contextual understanding of your topic. .

“What we saw was one of the main problems for the doctors. They can solve one or two problems – maybe three – if they know them in advance,” adds Lavi. “Five minutes before he has to leave, the patient remembers, ‘Oh, hey, I need to ask you about this medicine. I need to ask you about the new problem I have. I have to ask you about my family – and the doctor hates it. The patient also hates it because he gets the response: “Sorry, my friend, I can’t deal with it now”. I have to go to the next meeting. And the patient does not get all the attention he needs.

The Navina app is currently used by some 1,500 physicians and in leading clinics across the United States. The company also markets the product to healthcare providers and risk adjustment teams, which predict individuals’ future healthcare expenditures based on diagnoses and demographics.

Cut the clutter of patient data

The healthcare industry has amassed a huge amount of data over time, which has quickly become disorganized and difficult to manage. With so much data to analyze so quickly, healthcare professionals often turn to AI to organize and interpret data to gain better insights.

It’s not easy, Lavi tells NoCamels. In fact, it’s “complicated technology”, which is why it hasn’t been done before. But Navina has a number of AI and medical experts on its team, including two co-founders with experience in the IDF’s elite 8200 unit, where they focused on putting AI into practice. the theory.

Lavi spent 24 years in 8200 and the Prime Minister’s Office, where he created and led the Israeli Military Intelligence Artificial Intelligence Lab, which collaborates with leading tech companies and universities to develop cross-functional platforms that provide insight into difficult data. Shai Perera, CTO at Navina spent a decade in elite intelligence units, where he was involved in R&D and held leadership positions. He also holds a Master of Science in Electrical Engineering from the Technion with a specialty in machine learning.

Perera says one of his relatives was diagnosed very late with cancer due to errors by the family doctor and his condition deteriorated as a result. The pair realized GPs were missing out on many critical diagnoses because they couldn’t absorb the volume of patient data they had to deal with.

The Navina team behind the app that turns chaotic data into clear insights for doctors. Courtesy

Lavi and Perera were responsible for one of the biggest revolutions that took place in 8200 and later in the IDF – the smart data revolution that is presented to commanders in real time. The two built the cyber units’ AI/ML-based information systems that processed data and enhanced the capabilities of cyber commanders and won a National Security Award for their efforts in 2018.

After being discharged from the military, the two used their knowledge and expertise in data, artificial intelligence and machine learning to make a difference in people’s lives. For Naviana, founded in 2018, the two replicated the data model they built in the IDF to implement in healthcare facilities around the world.

“I think the payoff for the patient is very obvious,” says Lavi, “They want it all sorted out. And the doctor should be with the patient, not with the computer. And that’s what Navina allows them to do because everything is summarized for you in two or three clicks.

“Navina is disruptive because it’s one of the first digital health apps I’ve seen that the doctor is actually ready to use. It’s not a burden. The machine behind the scene does a lot for them, which makes it very easy for them to understand the patient. And every time I say that, people ask how nobody thought of it before and why it wasn’t done.

About John Tuttle

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