Advancing Patient-Centered Healthcare
The digital future of healthcare revolves around predictive, proactive care focused on keeping people well based on their unique needs and lifestyles.
Advancing Patient-Centered Healthcare
The digital future of healthcare revolves around predictive, proactive care designed to keep people well, focusing on their unique needs and lifestyles.
URGENT CARE
Source: Patient Engagement HIT, “3 Top Strategies to Address the Social Determinants of Health,” Feb. 26, 2019.
World Economic Forum, “Forget genes: it’s your zip code that influences your health,” June 30, 2016.
The Human Impact of IoT in Healthcare
AI (Artificial Intelligence) and analytics will help doctors understand how different socioeconomic factors impact patients’ health. Mount Sinai Medical Center in New York is using an analytics platform to identify the social needs of its 400,000 members and match them with appropriate follow-up care. The platform pulls information from various sources, including census data and credit agencies, and then combines that with claims data. The platform then applies AI and machine learning algorithms to produce predictive modeling for patients at risk of hospital admission.
“It’s a step toward providing patient-centered care,” notes Scott Weingarten, M.D., Chief Clinical and Innovation Officer at healthcare solutions provider Premier, Inc. AI-driven insights might tell a doctor whether a patient lives alone or has a caregiver. The information helps providers understand each patient as a person to provide more personalized care rather than relying on a standard disease management program.
Digital Health Barriers to Consider
27%
27%
49%
49%
71%
71%
Low Confidence in
Digital Technology
Connecting the Dots to Digitalization
Predictive and preventive healthcare will also require the ability to capture high-resolution images in real time. These advanced imaging technologies capture precise, high-quality images using lower radiation, which allows for accurate imaging that is safer for younger people. This is particularly true in Europe, where radiation dose limits exist for children. As a result, an emergence in more portable devices and applications is taking place. For example, some medical facilities offer noninvasive imaging to evaluate abnormal narrowing or enlargement of blood vessels in the chest, abdomen, pelvis, and extremities due to its smaller footprint. This opens the door for new applications, such as the ability to replace stethoscopes as a physician’s’ primary examination tool or increasing the availability of medical imaging in remote communities where access to larger, more costly imaging equipment may be limited.
Imaging solutions will also become mobile. Small, handheld devices allow healthcare practitioners to move between patients quickly, which isn’t possible with large ultrasound or other scanning machines. During the COVID-19 pandemic, point-of-care ultrasounds supplied by Butterfly Network, Inc. helped Atrium Health in Charlotte, North Carolina, assess “initial lung and cardiac involvement, as well as to monitor disease progression for patients isolated in urgent care facilities, quarantined in the home or even in Atrium Health’s COVID-19 Virtual Hospital,” said Dr. John Martin, Butterfly’s Chief Medical Officer.
ADI’s low-power, high-precision sensing and measurement technologies have been designed to meet the efficiency and size targets for these types of portable applications.
AI-assisted diagnosis of major diseases and predictive indicators of future health issues are becoming a reality. AI-driven insights can dramatically improve treatment and lead to the faster discovery of new medical innovations. This information will drive individualized healthcare solutions for years to come. Dr. David B. Agus, a professor of medicine and engineering at the University of Southern California, tells WebMD that AI allows him to immediately match a patient’s symptoms with other patients with similar indicators. Machine learning and AI look for associations that the human brain isn’t capable of computing, which provides doctors with more in-depth information about a patient’s conditions, Agus says.
AI is dependent upon access to big data, and ADI is increasingly integrating software and algorithms into solutions that will help doctors access large amounts of patient data in a safe and secure manner.
The digital healthcare revolution is already underway. ADI’s advancements in low-power precision components have enabled the rapid growth of predictive and preventive healthcare solutions. ADI’s system expertise and fully integrated technology platforms are the building blocks for smart, sensor-based digital healthcare. Providers need reliable, robust patient monitoring solutions for better prevention and disease management to lower costs while improving patient outcomes and access.
ADI offers integrated health solutions that allow for seamless data collection, delivery, and analytics in real or near-real time.
Fighting Disease with
Ultra-Fast Testing
Digital healthcare technology is the key to preventing future outbreaks. Analog Devices’ nanosensor technology is helping make testing that’s more accurate, reliable and accessible.
How Advances in Sensor and Digital Technology Yield Better Patient Care
A new approach using portable or wearable monitoring devices and point-of-care medical equipment promises to improve patient outcomes and reduce pressure on public healthcare facilities.
Vital Sign Technologies:
Conditioned-Based
Monitoring
Advances in microelectronics have led to cost reduction in monitoring systems, making these technologies more accessible and common in areas such as telemedicine, sports, fitness and wellness, and workplace safety.
Vehicle Electrification
Renewable Future