Harness AI in Healthcare | symplr AI Tools

Healthcare AI solutions, built for real operations.

symplr’s AI tools help healthcare leaders act with confidence by embedding predictive intelligence and automation across daily workflows.

Built on trust

By augmenting decision-making and automating routine workflows, our AI tools help clinicians, administrators, and executives focus on what matters most—better outcomes for caregivers, staff, and patients.

AI Made for Healthcare

Models and features aligned to clinical and operational workflows; tuned for the challenges and realities of healthcare delivery to drive real efficiencies.

Integrated Platform

Embedded across the symplr Operations Platform with governed data and a familiar experience that supports reliable decision-making.

Transparent & Explainable

Clear outputs with source traceability, so teams understand where insights originate and how to act on them.

Secure by Design

Powered by AWS Bedrock for scalable, secure AI applications that meet the data-governance and security standards healthcare organizations expect.

What symplr's AI Tools Can Do

Core AI and Machine Learning Capabilities

Predictive Scheduling

Forecast staffing needs up to 120 days; align labor to real demand.

Learn about Smart Square

Smart Self- Scheduling

Enable efficient self scheduling based on historical data and required hours to streamline shift selection and improve fill rates.

Learn about symplr Workforce

Schedule Balancing

Reduce the burden on Nurse Managers with actionable insights and recommendations to make confident scheduling decisions quickly.

Learn about symplr Workforce

Contract Review & Redlining

Accelerate contract work with rapid document review, ranked clauses for review, and context-aware redlining suggestions.​

Learn about symplr Contract

Readmission Risk Modeling

Anticipate HRRP penalties and target high-impact improvements.

Learn about Midas

Quality Risk Modeling

Deliver enterprise-wide, risk-adjusted quality indicators and regulatory measures down to the patient level.

Learn about Midas

Evidence Summarization

Summarize vetted clinical evidence to support coverage and policy decisions for payers.

Learn about Evidence Analysis

Contract Intelligence​

Gain immediate insights across contracts, vendors, and workflows with conversational AI. ​

Learn about symplr Contract

AI in action

Use Cases Across Workforce, Quality, and Contract Management

Workforce

Predictive Scheduling

Forecasts demand and staffing needs up to 120 days with high accuracy so nurse managers can build smarter schedules early and contain costs.

  • Predictive analytics replace manual guesswork
  • Aligns scheduling needs to real demand
  • Scheduling optimization improves fill rates

Learn more about Smart Square

Quality

Readmission Penalty Forecaster

Replicates CMS readmission and penalty calculations years in advance to anticipate risk and target high-impact strategies.

  • Risk-adjusted indicators to the patient level
  • Early visibility into HRRP exposure
  • Focus on high-risk populations

Explore Midas Datavision

Contract Management

AI-Powered Review, Redlining, and Conversational Insights ​

Enable teams to review contracts faster, reduce risk, and make smarter decisions.

  • Rapid document review
  • Context-aware redlining suggestions
  • Conversational insights across contracts, vendors, and workflows

Learn about symplr Contract

Outcomes That Matter. Results You Can Measure.

80%

Of staffing gaps addressed in advance, improving efficiency.

$1.03M

In cost reduction compared to their legacy pay practice.

Read Bellin Health's story

$616K

Saved by focusing on FTE leakage and critical staffing.

6.5%

Reduction in FTE leakage vs. the previous year.

Read Hackensack Meridian Health's story

Hear from symplr's Chief Architect

Chief Architect, Tony DiGiorgio, shares how Authentic Intelligence = value for healthcare

Ready to Reduce Administrative Burden and Optimize Operations?

Discover why health systems trust symplr’s AI tools to turn insight into action.