is a healthtech startup that began its journey at Harvard University and says its technology can help doctors make better clinical decisions when managing the metabolic health of their patients.
The startup has started discussions with healthcare providers in India and Singapore to launch its platform in those markets. This relies on his Ayushman Bharat Digital Mission of the Government of India, which aims to interconnect the digital health solutions of hospitals across the country. The program could allow any hospital in India to share patient records with doctors on a consensual basis.
“I am interested in going to India because I believe this (universal electronic health record framework) will become a reality in the next five years. We may not get big numbers, but we are excited about the scale we can achieve in the market.” your story.
In 2019, about 77 million people in India had type 2 diabetes. Given that 1 in 3 of her adults in India now suffers from metabolic syndrome, a series of conditions that increase her chances of developing cardiovascular disease and type 2 diabetes, India These diseases carry a heavy burden.
Based on support from future investors, Amber said Basys.ai could launch the platform in India in the coming months.
As construction of a universal health record system is underway in India, Basys.ai plans to partner with hospitals to build AI (artificial intelligence) capabilities. The startup currently operates only in the United States.
Birth of Basys.ai
Amber met co-founder Jie Sun while attending the health data science program at Harvard University. Because they exchanged ideas across data science and healthcare, they decided to work on improving people’s metabolic health and narrowed it down to diabetes.
For Amber, her struggle with type 2 diabetes is also personal as her father struggled with the disease.
The co-founder launched the venture in 2020.
Basys.ai has won several competitions. The co-founder was on the winning team of his 100K Accelerate event at MIT (Massachusetts Institute of Technology). It has also received grants from the Harvard Innovation Lab, MIT, and others.
The healthtech startup also got its first customer, the world’s largest diabetes research center. Basys.ai says he will earn more than $1 million on a five-year deal.
Under the deal, Basys.ai will work with diabetes centers to monitor, track and develop interventions for other metabolic health issues such as kidney and cardiovascular disease. We are currently working with research centers on a full range of diabetes-related issues.
Basys.ai’s proprietary AI technology
Basys.ai relies on three primary data sources to track patient health. Patient historical data, glucose levels received from glucose monitors, other health metrics received from devices, and inputs manually entered by the user. Users tend to be biased when feeding their data, so the platform assigns the last source the least important.
The healthtech startup is awaiting approval for its patent application on AI technology.
The startup combines EHR (electronic health record) data with health metrics collected via user devices to profile users’ risk, summarize information for doctors, recommend tests, and predict disease control strategies. /Suggest.
“We extract patterns from information about patients in electronic health records (EHRs). Once we extract this information, we do pattern searches and classify patients into different risk categories,” says Amber. increase.
Once a user’s risk profiling is complete, Basys.ai defines various diagnostic tests that patients must undergo. This includes the frequency with which it must be received.
For example, if an individual is screened for diabetic retinopathy (a complication that affects the eyes), the platform will decide whether the test should be performed every three months, every six months, or annually. Suggest whether the inspection of is sufficient.
Or consider the case of someone with diabetic neuropathy (a type of nerve damage that can occur from diabetes) or diabetic nephropathy (a condition that leads to kidney damage and high blood pressure). . The platform helps determine if patients should undergo additional tests, such as an electrocardiogram (ECG) or kidney function tests, as diabetes can lead to dysfunction of internal organs.
How the platform works
The startup’s platform has two types of users: providers/doctors and patients. Currently, the startup is primarily focused on doctors.
Amber said the platform provides doctors with patient information, including past and current health conditions and recommended next steps, via a dashboard.
Doctors typically take an average of about 15 to 20 minutes to scan a patient’s health record, diagnose the problem, and suggest a treatment plan, Amber said.
“Physicians try to understand the data (from the EHR) as quickly and as humanly as possible. It’s like a notebook, and they might take shortcuts when scanning for information, which isn’t good for the patient,” says Amber.
“The difference with Basys.ai is that Basys.ai uses AI to provide a patient health summary and a list of actionable points that doctors can take advantage of,” adds the co-founder. .
Use of the platform is currently voluntary for patients. You can sync your glucose monitor after signing up for the platform. All information collected so far will be automatically loaded into the platform. Users can also choose to sync their smartwatch with the platform.
In addition to glucose levels, the platform shows an individual’s metabolic health, including blood pressure, heart rate, physical activity performed during the day, calories burned, resting heart rate, and heart rate variability if using We also collect other information.Devices that monitor these metrics.
The Platform uses such information to determine if your diabetes status is improving.
For those not using a device that records blood sugar levels, there is an option to enter the details manually.
“So far, we’ve tried to be provider-first, with doctors recommending the platform to their patients. Once a doctor recommends it, the patient or their family will download and use it,” says Amber. The startup is also considering whether it can launch a B2C (business to consumer) platform.
For hospitals, Amber says Basys.ai can help increase revenue and reduce costs. “Under a value-based delivery model, if hospitals improve patient outcomes, they will pay more from insurance companies,” he says.
A fee-per-service model (physicians and other healthcare providers are paid for each service provided) allows physicians to treat more patients over a period of time.
road ahead
Apart from working on a B2C platform for US patients, the startup is also focusing on mental health.
“Our next step is mental health. We are also in talks with several US hospitals about partnerships.
Both Amber and Jie are putting their savings to building their startups, in addition to the money they get from grants and competitions. Basys.ai is currently in talks with some investors to raise seed her capital. The healthtech start-up is now focused on expanding its product and customer base to achieve “clinical validation” globally.
(article updated for clarity)
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