Request for demo

Predictive Healthcare

Doctor and patient.

Predictive Healthcare


The rapid rise in patient healthcare data and costs has spurred the healthcare industry to bring innovation to existing technology to cope and implement value based solutions for enhanced patient care.
Amper’s AI powered application Platform as a Service (aPaaS) has accelerated building and deploying apps to enable intelligent, predictive and data driven healthcare solutions.

The Challenge

Hundreds of patients visit the various dialysis centers of a leading dialysis service provider, spread across the country throughout the year for treatment. A system to provide proactive medical attention to patients registered with their centers to prevent lapses that might result in emergencies was essential . To achieve this the following was required

  • Keeping the patient data confidential and protected across all of the patient care centers
  • Analyze large volumes of patient health data
  • Ability to discover conditions in a patient’s health
  • Identifying the right treatment options based on the evidence found

The Solution

Amper’s AI powered application orchestration platform allows a smooth integration between data analysis and triggering evidence based treatment procedures.

  • Event streams generated from the diagnostic devices connected to the in-patients were processed and compared to ML models to discover probable medical emergencies
  • Possible symptoms predicted by the models triggered appropriate procedures and alerted the relevant medical professionals

The Benefits

  • Amper allows easy connectivity with external data science platforms like the IBM Watson health cloud harnessing superior analytic abilities on high volume of data
  • The patient data is protected in Amper and is anonymously made available for feedback to retrain the models for continuous improvement of predictions
  • Proactive medical attention triggered from Amper’s solution helped the dialysis centers improve the service they provided to the patients greatly