Health Care Operations

Enable better patient access through more efficient care delivery with the right staffing and skills.

How SAS Supports Efficient Health Care Operations

Value-based health care and patient centricity are emerging as the new global paradigms for addressing how organizations deliver and pay for health care. SAS provides a powerful array of descriptive and predictive modeling, forecasting, optimization, simulation and project scheduling capabilities to help you identify the actions that will improve outcomes and patient satisfaction, maximize resource utilization and reduce costs.

Health care cost analytics

  • Improve hospital operational performance, throughput and capacity.
  • Deliver higher quality care while improving patient satisfaction and controlling costs.

Workforce planning & performance management

  • Accurately forecast demand for clinical staff.
  • Develop critical workforce plans to mitigate long-term gaps and short-term agency costs.
  • Create a culture that supports measurement and transparency.

Advanced approaches using AI

  • Monitor patient devices, and reduce alarm fatigue.
  • Improve building, patient and staff security through sensor-based analytics.
  • Right-size equipment inventory through accurate location monitoring.

Why SAS for health care operations?

Integrated solutions that span the analytics life cycle – from data, to discovery, to deployment. Powerful analytical capabilities that span diverse operational needs, including prediction, forecasting, simulation and optimization. And the experience and expertise that comes from working with some of the largest health care organizations in the world.

Improve patient safety

Understand vulnerabilities for high levels of potentially avoidable complications, and implement strategies to reduce risk.

Gain productivity with a single, flexible system

Streamline operations by improving data visualization and sharing analytic insights across your mobile workforce.

Stay connected with the Internet of Medical Things (IoMT)

Apply streaming and edge IoT analytics to real-time data from sensors, devices and wearables, and use the insights to significantly affect patient outcomes.

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