Continuous Analytics Processing System

CAPS AI in healthcare is poised to pioneer a new era in establishing fresh benchmarks for managing both acute and chronic medical conditions.

caps - sanerahealth

CAPS

Nowadays, batch analytics is prevalent, but it tends to be static, which can result in outdated information and limited usefulness in urgent patient care scenarios. Modern technology and clinical tools have evolved to offer healthcare providers advanced information systems. These systems consolidate data, simultaneously execute multiple validated AI models, and continuously update predictive trend assessments to assist clinicians in their decision-making process. CAPS represents the platform that seamlessly integrates data from various sources, enabling continuous monitoring throughout the patient's healthcare journey, from in-hospital care to post-discharge follow-ups. The primary objective of CAPS is to empower clinicians with the most up-to-date information to enable timely and optimal decision-making in critical situations.

Multiple Stakeholders To Collaborate At Each Hospital - sanerahealth

Multiple Stakeholders To Collaborate At Each Hospital

The Sanera Health Cloud seamlessly ingests data in both FHIR and CSV formats, enabling the continuous processing of patient information in real-time, with submissions to the predictive analytic engines occurring every 10 minutes or in response to specific events. This architecture harnesses the power of Edge computing and analytics, facilitating the instant processing of statistically validated predictive values. This capability empowers healthcare professionals with the ability to make crucial decisions promptly.

Ongoing Analytics Processing Proficiency

Continuous Analytics is poised to bring about: enhanced patient and hospital results, the establishment of fresh care benchmarks, and significant reductions in costs.

Continuous Analytics Processing System​ Capabilities

  • Constant and secure review of a patient’s full medical record and update of risk profile.
  • Recommend to doctors and nurses additional tests needed in a timely manner (under 10 minutes).
  • Leverage artificial intelligence models against large data sets – from collaborating hospitals – using the latest diagnostic tools.
  • Show hospital administrators better outcomes and cost savings with real world statistically valid data.
  • Alert doctors and nurses when predictive analytical systems indicate a statically significant change.
  • Enhance to avoid false alarms using unified time-series analysis and visualizations on patient conditions.
  • Monitor patients after discharge for latent infections – before treatment options are minimized.
  • Embrace the latest rapid diagnostic technologies and treatment protocols with outcome analysis.
  • Incentivize technology stakeholders to participate by showing ability to earn a profit.
“Continuous Analytics is poised to usher in a future marked by enhanced patient and hospital results, the establishment of novel care benchmarks, and significant reductions in costs.”