Pieces Solutions

AI-generated assistance for care teams, directly in your patient list.  

Enhanced by Clinician in the Loop(™), Pieces Solutions healthcare data analytics software enables care teams to intervene early and efficiently, without digging through the patient chart. By reducing manual effort, providers and care managers can work more efficiently within hospitals and healthcare systems. 

Pieces Predict AI technology supports healthcare providers at the point of care:

  • Reducing time and cognitive effort performing redundant manual chart reviews
  • Identifying discharge barriers and predicting patient discharge dates
  • Aligning care teams with auto-generated snapshots of a patient’s current status
  • Improving detection of critical care deterioration
  • Identifying social determinants of health in real-time

Align Care Teams with Healthcare AI

Identified Discharge

Create more capacity by reducing hospital excess length of stay

AI-Generated Predicted Discharge Date


Prioritize which patients can go home the soonest using more efficient patient discharge tools

Automated AI Patient

Leverage generative AI to support increasing provider satisfaction and enable earlier interventions for better patient outcomes. 

How Pieces Solutions Works


Using artificial intelligence (AI), Pieces Solutions rapidly identifies at-risk patients in the Electronic Medical Record (EMR) using their relevant clinical, social, and economic determinants.


Predictive models and deep clinical algorithms analyze structured and unstructured patient data to make intelligent predictions about the likelihood of readmission, and other possible factors.


Pieces Solutions provides timely information to the care team to help prioritize actions and discharges.


Pieces Solutions continuously monitors patient data within the EMR to detect changes and identify needed interventions.


Pieces provides Clinician-in-the-LoopTM which augments machine learning with licensed clinicians. The Pieces data-science team provides ongoing analysis for all customers.

Integrated Social Determinants
of Health (SDoH) Data

Pieces is continuously monitoring and updating the relationship between SDoH and health outcomes for better-informed recommendations and predictions.

Mae Centeno, DNP, RN, CCNS, ACNS, BC

Former System Vice President of Chronic Care Continuum, Baylor Scott & White Health

“We decided to partner with Pieces because their solution offered valuable NLP technology which discovers critical elements embedded in the EHR notes to offer key information about readmissions, without spending hours reading the chart.”

Ready to learn more?

Less time in the EHR means more time with the patient, enhancing provider and patient satisfaction. Let’s schedule a time to meet.