Healthcare Predictive Analytics

Optimize your clinical performance with our suite of solutions

The growing need of personalized medicine is radically driving healthcare industry. Survival and success of healthcare organizations now depends on a streamlined and information rich infrastructure that can enable them to leverage their data to offer meaningful insights. To realize tangible benefits including improved clinical outcomes, reduced readmissions, shift towards evidence-based medicine etc., building business-relevant analytics that can be leveraged is a critical success factor.

CitiusTech’s Medictiv is an end-to-end suite of analytics tools and services to assist health systems, payers, ACOs, and life sciences companies in leveraging their data assets to derive actionable insights. Medictiv offers strong capabilities for statistical mining, predictive modeling, machine learning, deep learning, model life cycle management and artificial Intelligence techniques, while enabling organizations to integrate these techniques into their day-to-day operations and workflows to augment decision making at point of care. Medictiv provides a cross-functional data analytics team of data scientists, statisticians, business analysts, data architects and clinical informatics professionals with deep healthcare domain expertise.

Medictiv: Healthcare Predictive Analytics Platform

Medictiv: Healthcare Predictive Analytics Platform

Medictiv: Key Drivers and Use Cases

Medictiv leverages CitiusTech’s expertise across healthcare data, processes, industry standards and cutting-edge technologies to offer an integrated suite of analytics services for organizations to create a value-based personalized experience at any point along the patient care continuum. With a flexible pricing approach, Medictiv enables our healthcare clients to leverage the solution capabilities in an affordable manner and ensure true ROI for their investments.

Medictiv, CitiusTech, Healthcare Predictive Analytics, Predictive Modeling, Statistical Mining

Key drivers for adopting analytics

  • Provider: CMS’s new value-based payment modifier, patient-centred care, wearable tracking devices and IoT, population health management
  • Health Plans and Payers: Improved care coordination, cost and price variation management, value-based care, risk management
  • Life Sciences and Pharma: Evolving regulatory risk and compliances, countering pricing and cost pressure, value chain digitization, increasing cloud-based services and mobility solutions

Key use cases across healthcare space

  • Providers: Value-based care, denials management, resource utilization, at-risk population detection, remote patient monitoring
  • Health Plans and Payers: Health plans benchmarking, severity prediction, customer lifetime value prediction, geo-spatial segmentation, treatment compliance, accuracy of diagnosis
  • Life Sciences and Pharma: Pre-post event analysis, comparative effectiveness research, patient identification for clinical trials, safety signal processing

Medictiv: Healthcare Predictive Analytics Demo

Medictiv Demo, CitiusTech Demo, Healthcare Predictive Analytics Demo, View HIT Demo

A comprehensive suite of predictive analytics solution to enable organizations to leverage their data assets and derive actionable insights.