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  • BI-Clinical - Healthcare Business Intelligence Analytics Platform
 
 
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BI-Clinical: Healthcare BI / Analytics
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BI-Clinical: Healthcare Analytics Platform

 
Overview  |  Ambulatory  |  Hospital  |  ACOs & MCOs
 

BI-Clinical, the healthcare analytics platform of CitiusTech, is a highly modular, scalable, flexible and interoperable platform for healthcare BI and analytics. With an extensive set of pre-built apps that cover over 600 KPIs around clinical, financial, operational and regulatory reporting, BI-Clinical offers powerful capabilities for advanced healthcare analytics, shared risk management, population health management and care co-ordination. It also provides advanced predictive analytics tools such as Readmission Management, Claim Analytics, Bundled Payments, Population Viewer and Value-Based Purchasing.

 

BI-Clinical is available as an OEM solution that is highly interoperable and uses state-of-the art technologies for ease of integration. Apart from web services -based architecture for data integration, BI-Clinical also supports single sign-on and WSRP compliant port lets (pluggable user interface) that simplifies integration and reduces time-to-market. Additionally, the healthcare analytics engine has the following key benefits:

 

Regulatory Apps

 
  • Coverage of clinical quality guidelines of leading regulatory and quality organizations - Meaningful Use, PQRS, HEDIS, JCAHO, PCMH, VBP – for compliance to evidence based guidelines
  • Ability to track and monitor provider and physician performance against industry benchmarks and organizational performance
  • Ability to analyze performance scores by various dimensions such as health plans, disease conditions etc.
  • Know more about CitiusTech’s Regulatory Reporting Practice Click Here

Meaningful Use Coverage

Eligible Hospitals

Eligible Providers

   

ACO Coverage

HEDIS
Coverage

 

Clinical Apps

 
  • Extensive suite of clinical quality reporting apps for hospitals, IDNs, physician practices, HIEs, ACOs and MCOs
  • Healthcare analytics and performance benchmarking for population health management
  • Pre-built disease registries for complete coverage of diabetes, hypertension, obesity, asthma, CAD, COPD etc.
  • Integrated clinical and financial analytics for population health management and care co-ordination
CitiusTech: Clinical Analytics & Clinical Quality Reporting

Clinical Analytics for Physician Groups

 
CitiusTech: Clinical Analytics  Software for Hospitals

Clinical Analytics for Hospitals

 

Predictive Analytics Apps

 
  • Powerful predictive analytics apps to identify trends, assign scores, assess risk and benchmark performance
  • Coverage of multiple areas - readmissions, bundled payments, value-based purchasing, hierarchical category codes
  • Know more about CitiusTech’s Predictive Analytics Practice Click Here
BI-Clinical: Population Health Management Framework

BI-Clinical Population Health Management Framework

 
 

Financial Apps

 
  • Comprehensive revenue cycle management apps for physician practices and hospitals
  • Advanced analytics and reporting - claims analytics, denials and collections management
 
 

Operational Apps

 
  • Apps for operational management - across provider networks and ACOs – to manage utilization and costs
  • Extensive coverage of operational areas - network utilization, referral management and population viewer
 
 

Accelerated Partner Integration

 

BI-Clinical is designed to easily integrate as an OEM / white - labeled reporting module with healthcare applications - EMR, PMS, HIS, RIS or any other clinical / financial application. The healthcare analytics solution is highly interoperable and uses state-of-the art technologies for ease of integration. Apart from web services -based architecture for data integration, BI-Clinical also supports single sign-on and WSRP compliant portlets that simplifies integration and reduces time-to-market

CitiusTech : OEM Integration Architecture

Standards Based OEM Integration Architecture

 
  
Find Out More About BI-Clinical
 
For Physician Practices
Clinical Analytics: Clinical measures for diabetes, COPD, hypertension, obesity etc. Regulatory Reporting: Meaningful Use, PQRS and ACO quality reporting Financial Analytics: Costs, utilization, AR, collections, denials management
 
For ACOs
Clinical Analytics: Population Health Management and care co-ordination
Regulatory Reporting: CMS measures for ACOs Financial Analytics: ACO financial performance management across the care continuum
 
For Hospitals & IDNs
Clinical Analytics: Clinical measures for AMI, infection management, ED,
etc.
Regulatory Reporting: Meaningful Use, JCAHO and HEDIS Reporting Financial Analytics: Costs, utilization, AR, collections, denials management
 
BI-Clinical: ONC HIT 2014 Certified (V13.1, CC-2014-449180-1)
on 11 June, 2013
 
CitiusTech BI-clinical: Advanced Clinical Analytics Software
Learn how BI-Clinical helps healthcare organizations enhance clinical performance
 
 
CitiusTech: BI-Clinical Demo
 
Overview
 
Case Studies
 
Partners
 
 
Spotlight
Brochure: BI-Clinical for Advanced BI & Analytics
Brochure: BI-Clinical Healthcare BI and Analytics for Providers
Brochure: BI-Clinical Healthcare BI and Analytics on IBM
Brochure: BI-Clinical - BI and Analytics for Healthcare IT Vendors and Technology Partners
Brochure: BI-Clinical for SAP® BusinessObjects™ and Data Connect
Press Release: CitiusTech Launches BI-Clinical Cloud and App-based Architecture
Data Sheet: BI-Clinical Apps
 
Success Stories
Leveraging BI-Clinical for HIE analytics and quality reporting
 
Deployment of BI-Clinical as hosted reporting platform
 
Supporting the clinical reporting requirements of a large physician practice
 
BI-Clinical for physician reporting by Integrated Delivery Network
 
Enhancing clinical reporting capabilities of nephrology-focused EHR
 

Healthcare Analytics Practice

Experience with multiple technologies e.g. SharePoint 2010, BusinessObjects, Pentaho, Informatica, Cognos

 

Strong expertise in healthcare data models, healthcare workflows and healthcare IT systems

 

Deep understanding of data integration and terminologies for data aggregation in healthcare

more
 
 
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