Skip to main content

For any health profession to succeed in value-based care, there is a critical need to analyze real-time health care data and outcomes among different populations. Where health care once may have lacked real-world data to measure the effectiveness of an intervention, for example, now we simply have too much data to identify a signal in the noise — the pattern in a vast sea of data that can help improve patient outcomes.

Traditional data analytics tools, such as the dashboards in your electronic health records program, can visualize basic trends in the data collected on your patients, benchmark outcomes, and track provider performance based on specific data points. But what they can't do is offer a wholistic view of a patient's health and identify that individual's health risk based on a multitude of factors that interact and change over time.

Enter artificial intelligence, or AI. By analyzing large data sets from electronic health records, claims databases from private payers and the Centers for Medicare and Medicaid Services, randomized controlled trials, wearable devices, and even clinical data registries, health services researchers are just beginning to scratch the surface of AI's promise to advance both practice and research.

Log in or create a free account to keep reading.

Join APTA to get unlimited access to content.

You Might Also Like...


Studies Show Faster Walking Associated With Lower Risk for Type 2 Diabetes

Dec 6, 2023

Researchers found that brisk walking — 4 mph or more — was associated with a 39% drop in risk.


APTA Guidance on Use of New Caregiver Training Codes Now Available

Dec 4, 2023

APTA's practice advisory helps PTs and PTAs understand how and when to use the codes, including documentation requirements.


It's a CE Savings Wonderland

Dec 1, 2023

During December, APTA members can purchase access to more than 200 APTA Learning Center courses for one low price.