What will healthcare look like in 2050? At HIMSS Europe 2022, I presented a session with Greg Moore, Corporate VP of Microsoft Health & Life Sciences, detailing how AI-driven ambient clinical intelligence will define the future of healthcare. In case you missed it, here’s a summary of the key takeaways from the session.
Using AI to alleviate burnout
As medicine has become more complex, so has clinical documentation. The level of detail required now means that clinicians spend a lot of their time just creating documentation, and this admin burden is one of the biggest contributors to the growing problem of clinician burnout.
The technology to alleviate burnout is already here, including the latest advances in AI-powered speech recognition solutions. Over the last ten years, the accuracy of speech recognition solutions has come on in leaps and bounds, making it simple for clinicians to create detailed, accurate documentation using their voice. This massively reduces the documentation burden, giving clinicians hours back in their day. And over weeks and months, those hours stack up, helping clinicians see more patients without burning out, and enabling them to achieve a much healthier work-life balance.
But speech recognition—however advanced—is only the beginning.
Ambient clinical intelligence is here
Once you have the basics of cloud-based speech recognition in place, you have a foundation for other voice-activated solutions. For example, voice-enabled virtual assistants help clinicians navigate the EHR and complete common tasks by simply saying, “Show me the latest CT scan,” or “Order a full blood count and lipid profile.”
Ambient clinical intelligence solutions take conversational AI technologies even further. ACI solutions listen to the patient-clinician conversation, capture all relevant information from the encounter, and automatically create a complete, accurate clinical note in the EHR. That enables clinicians to turn away from their computer screen and focus on the patient—no typing, no clicking, just a natural, free-flowing conversation. It’s a much better experience for clinicians and patients, and the documentation burden is reduced even further.
Defining the future of healthcare with ambient clinical intelligence
When we speak, we use many of the body’s systems and structures: the lungs, vocal cords, tongue, lips, nasal passages, and brain. Our speech contains more than 2,500 biomarkers—diagnostic clues that provide insights into various aspects of health and wellbeing. Researchers are already developing ways to use these biomarkers to provide real-time decision support for clinicians, by detecting depression and anxiety, for example, or identifying social determinants of health.
Perhaps even more transformational is the potential to use ACI to monitor patient health and provide treatment in the home. For example, gait analysis using a combination of wearable devices, cameras, depth sensors, radar, and acoustic sensors could enable the detection of Parkinson’s disease years sooner than we can see signs of it now.
Ambient clinical intelligence is transforming healthcare right now—and the future possibilities for re-imagining healthcare are tremendously exciting. By 2050, who knows how far we’ll have come?
“We’re moving at breakneck speed into a world filled with sensors and connected devices of all kinds,” says Greg. “This world will be awash with data we can use to train AI-based solutions to detect and predict the state of an individual’s health. The AI solutions of today and tomorrow will combine to improve outcomes, create better experiences for patients and clinicians, and increase care access and affordability.”