3 AREAS OF MED TECH IMPROVING CHRONIC DISEASE MANAGEMENT

Artificial intelligence, machine learning, sensor technology

pdf Harnessing the Power of Healthcare Data (.pdf)

Learn how three technologies are helping to manage chronic disease.

1.2MB

DOWNLOAD THE PAPER
document thumbnail
PATIENTS WITH 2+ CHRONIC CONDITIONS REPRESENT 93% OF SPEND FOR MEDICARE’S FEE-FOR-SERVICE(1)

ARTIFICIAL
INTELLIGENCE

Artificial Intelligence Infographic

AI and sensor technology used in implantable and wearable devices and managed care solutions help clinicians and patients with chronic disease management.

MACHINE
LEARNING

Machine Learning Infographic

Algorithmic support and insights based on data gathered by sensors and machine learning can give individuals more day-to-day control of their disease. 

SENSOR
TECHNOLOGY

Sensor Technology Infographic

Through sensor technology and the advanced application of algorithms, our latest technologies help take the guesswork out of daily disease management.

Nothing can replace clinician judgment in patient care, but new data-driven technology in healthcare is helping advance delivery of the right care, to the right patient, at the right time.

Artificial intelligence (AI), machine learning, and sensor technology can unlock the potential of data, providing actionable insights to guide clinical decisions and empower patients. Moreover, data-driven technology can reduce administrative work to help healthcare systems be more efficient.

Healthcare practice data ... can help patients and clinicians make more informed care decisions, create better care pathways, and improve patient outcomes.

Dr. Laura Mauri, vice president of Global Clinical Research and Analytics, Medtronic

STAY CURRENT 

ON HEALTHCARE TOPICS

Sign up for our email updates and get the latest healthcare articles, case studies, webinars, and more.

SIGN UP TODAY

NEXT ARTICLE: Learn how advances in two complementary technologies enable smaller devices and optimized visualization.

1

Chronic Conditions Among Medicare Beneficiaries, Chart Book 2012. Baltimore, MD: Centers for Medicare & Medicaid Services; 2012. Accessed November 18, 2014. Data is based on third-party solutions and data, which is not necessarily identical to the MCMS solution or Medtronic data.
https://www.medtronic.com/us-en/healthcare-professionals/services/medtronic-care-management-services/our-solutions.html