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Artificial Intelligence

AI is the cornerstone of our robust technology.

At its most basic, Artificial Intelligence is using computers to mimic human intelligence. We make decisions and judgements based on past experience, past successes, and past failures. Using computing power, we mimic that same process, but apply it to a ton more information and at a much higher speed. Used in clinical medicine, artificial intelligence (AI) and machine learning in healthcare can help sift through multitudes of past cases, apply various factors, and find correlations to predict future outcomes.

advanced technology, clinical expertise, community connection, interoperability

Why our AI is Different

Based in Real-world Experience

We apply our vast clinical experience to the development and ongoing refinement of our technology. One measure of success to us is if our technology makes things easier or more efficient. We spend a lot of time understanding processes and outcomes to ensure our technology is getting better to continue to do what you need it to do.

Steeped in Social Determinants of Health (SDoH)

Health and wellbeing extends well beyond the walls of the clinic. It’s critical to understand the many factors in a person’s life that may be affecting their health. We have the largest library of SDoH algorithms that integrate social factors with EHR data for predictive health outcomes and needed support.

Our AI in Action

Predicting Outcomes

Here’s just one example. We are able to parse through all the available data to predict the likelihood of a patient’s readmission. The many factors are weighted and analyzed in a similar fashion to how a trained clinician would look at all the information available. The difference is that AI and machine learning speeds up the process and finds correlations that may never be seen by a single doctor. Instead, a doctor can spend their time applying the information toward treating a patient, rather than being stuck in the EHR for hours. AI is used throughout Pieces Predict to help clinicians make better decisions, intervene sooner, and increase efficiency throughout the care cycle.

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Recommending Referrals

AI is used also to surface a patient’s support needs. Our AI is strengthened through Natural Language Processing. By reading the clinician’s notes, we are able to find specific words and phrases to trigger a recommendation to make a needed referral. There are many factors that help determine wellbeing and our AI and natural language processing (NLP) helps to identify and call out a patient’s needs. A note that a patient is homeless can trigger a referral for a homeless shelter. Pieces Connect can then make that referral and track it to know that the patient got the shelter needed.

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Learn more about Pieces’ AI solutions in healthcare

Our AI is used throughout Pieces Predict. It is integral to Pieces for Health Systems

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