CONNECTED HEALTH CONFERENCE • SAVE THE DATE • October 16-18, 2019 • Boston, MA
Q&A with Intel's Jennifer Esposito
Intel hosted an Immersion Day event on October 17th at the Connected Health Conference. Can you tell us about that?
We brought in leaders across the industry to discuss how Artificial Intelligence (AI), Internet of Things (IoT) and Virtual Reality (VR) are changing the way medical professionals deliver care at the bedside, the home and specialty care.
How is new innovation changing the experience at the bedside?
Think about the Intensive Care Unit (ICU) - $10k per day for a typical ICU stay. Complications that contribute the most to hospital costs and increase in length of stay for patients occur here. It’s an error rich environment that’s overloaded with data generated across the patient: labs, procedures, vitals changes like oxygen, blood pressure, life support systems, medications, etc. Most samples are taken infrequently and must be approved by a nurse. It’s difficult, if not impossible, to attain a complete view of a patient's overall condition. 1 in 4 patients going through an ICU in the US will experience a medical error. Ironically, less than 1% of patient data is available beyond the bedside or within the Electronic Health Records (EHR). Medical Informatics, Ambient Clinical Analytics, and Bernoulli Health work with the 99% of patient data that has been ignored in clinical decision making with new FDA cleared intelligence platforms that store the data directly from bedside monitors so caregivers can get an accurate real-time picture of a patient’s physiology.
Can you tell me about new innovations happening at home?
We’re working with a number of companies that use remote patient monitoring solutions to engage patients beyond the four walls of hospitals. We see remote care having the potential to be the new standard of care in the future.
AccuHealth, is going after chronic illnesses with a preventative home-based remote care approach. They have developed a patient-centric healthcare model that shifts reactionary facility-based care, to preventative home-based remote care. Using wearable sensors linked to a smart monitoring device that connects to the AccuHealth remote monitoring center, patients perform 3-5 minute “check-ups” throughout the day. Patient data is sent real time to a data center where data mining and predictive modeling identifies any changes of concern that can be addressed before they escalate to acute and costly care. Caregivers can proactively intervene before an ER visit or hospitalization is required. AccuHealth monitored 15,000 patients and drove a 42% decrease in ER visits and reduced costs to insurers by up to 50% per patient.
How is Intel helping transform specialty care?
AI, Visual Computing and Virtual Reality are transforming neurosurgery, radiology, and soon pathology. Delivering not only improved outcomes and patient satisfaction – but doctors satisfaction as well. Here are two examples:
Surgical Theater created an enterprise-wide virtual reality medical visualization platform called Precision VR. They combine MRI and CT scan images of patient brain/body parts in their software to create immersive 3D environments that transform patient education and engagement while delivering next-generation surgical planning and navigation capabilities to neurosurgeons. One of the healthcare systems they work with, Hoag, a not-for-profit regional healthcare delivery network in Orange County, California did a retrospective review of 167 new program patients from 9 months prior to VR implementation to 9 months post-VR implementation. They saw a 35% increase in surgical conversion rate (% of patients who chose to have surgery at Hoag vs. all other providers that recommended surgery). That is significant ROI, when you consider the expense of procedures like Craniotomy and cardiothoracic cases. Hoag also saw a reduction in outmigration (% of patients that elect to having surgery elsewhere) of 51%.
MaxQ uses the power of AI to help caregivers make life-saving decisions. MaxQ is currently focusing on stroke and head trauma. 30% of all medical imaging diagnoses for intracranial hemorrhage are incorrect and 80% of those errors are perceptual errors that go unnoticed by the human eye. That is where AI can be useful, since medical imaging is used in diagnosis of patients 56% of the time in the ER/ED. Reduction in diagnostic errors and improving stroke outcomes in the US by just 5% could save 170,000 lives and $12B. In initial preclinical trial results, MaxQ achieved a ~97% sensitivity with 90% specificity on standalone bleed detection (intracranial hemorrhage detection) on hundreds of thousands of non-contrast CT slices. This is an area where AI can help save lives. AI-enabled clinical tools from MaxQ can empower physicians around the world to better diagnose stroke and head trauma faster and to be more accurate.
What is ahead for Intel and healthcare?
We will continue to develop new use cases in clinical and life sciences as well as genomics. Precision medicine is game-changing as it utilizes more data sources for a true and comprehensive view of patient health. Soon, we will be able to incorporate non-traditional data like the patient environment, air and water quality - all the things than can impact patient health.
5G and IOT technologies will allow us to capture and leverage data for a clear path to scale precision medicine. In healthcare, it’s all about data. Healthcare generates 30% of the worlds’ data. It comes down to being able to generate actionable insights in real time. And it will be the critical factor in shaping the relationship of technology and healthcare in the future.