Delivering value with Analytics and providing deep Insights leveraging machine Learning in healthcare
to help reduce costs and provide Quality care with solutions spanning across the healthcare ecosystem.
Analytics dashboards to measure performance of health plans and hospitals to improve the Quality of Care and enhance
public reporting
Big Data Engineering Solutions
to gain efficiencies in Interoperability and Analytics to help close coding gaps
and care gaps.
Revenue cycle management in healthcare improves top line including reducing denials while maintaining the overall care of the patient population.
Engineering services to organize, manage and enrich your data with HIPPA compliance and following FISMA standards. Orchestration for enforcing Security and privacy for PHI.
Improve healthcare research and quality by reporting on AHRQ and CMS measures across health plans
• Comprehensive HIPPA and FISMA compliant Analytics platform to drive transparency, and accountability of services
• Population Analytics & performance benchmarking for Managed Care Organizations (MCOs)
Tracking & Bench Marking with HEDIS measures to assess the effectiveness of care
• Insights to improve state level healthcare services alongside patient care and safety.
• Reports and dashboards for STAR ratings comparing multiple health insurance organizations
Contain costs and improve health outcomes by gaining insights into preventable events and take action to reduce them
• Analytics to plot PPE Trends year over year including expenditures, counts, rates, AE Ratio etc.
• Breakdown of institutional expenditures between PPE and non-PPE related costs
PPAs are preventable admissions for both in-patient as well as Emergency Department visits.
• Inpatient admission that can be prevented or managed with better ambulatory care
• Insights from historical claims data to classify patients into right Clinical Risk Groups (CRGs), which describe the chronic illness burden of a patient
Improve Quality of Care by analyzing PPRs since they may reflect poor clinical care and coordination of services during hospitalization or post discharge period
• PPR readmission is defined as a return hospitalization to an acute care hospital that follows a prior acute care admission within a specified time interval
• Inpatient re-admission within a defined readmission time interval (eg: within 30 days of hospitalization)
Minimize PPCs which represent negative outcomes resulting from processes of care and treatment rather than from natural progression of underlying disease
• PPCs are in-hospital complications that are not present on admission but result from treatment during the inpatient stay.
• Increased costs resulting from complications are passed on to payers by increasing Diagnosis Related Group (DRG) payment.
Analytics to reduce Emergency department visits that could have been prevented or managed with better access to care or ambulatory care coordination
• Identify candidate events based on Enhanced Ambulatory Patient Groups (EAPG)
• A significant portion of the care services use can be attributed to the provision of unnecessary care in emergency department visit
Analytics on Pay for Performance measures with dashboards for self-performance and against benchmark
• Health plan performance with rollup by category and details by at-risk measures and bonus pool
• Provide input into enhancing the reward program by providing transformant outcomes
Track DMOs (Dental Managed Care Organization) effectiveness of care provided to patients
• Evaluate and assess dental plan performance using quality NCQA and DQA quality Measures
• Help improve state level dental care services along with the preventive care.
360-degree view into Patient health. The solution provides a Unified view of Patient Information by linking data from disparate sources
• Intelligent mining of data across medical records, claims, social factors and home care from multiple sources
• Empower care teams by improving operational and cost efficiencies to spend more time on providing care
Integrating complex healthcare data into a single source of truth for labor health funds and other
self-funded employers, payers and providers.
• Enable administrators to monitor financial, utilization and quality trends and identify actionable areas for improvement.
• Analytics for Member Eligibility, High Cost Claimants and Finance summary
Big Data Engineering solution for Member enrollment information transmitted from a variety of sources and systems
• Real time Streaming technology to improve the enrolment process
• System built for millions of enrolments with speed and agility
Insights into Super Utilizers and their impact on cost and burden on the healthcare system
• Super utilizers have a disproportionate number of inpatient admissions or Emergency Department visits to a hospital.
• Vulnerable populations with complex social components, high behavioral health needs, and multiple chronic conditions.
Potentially Preventable Readmissions (PPRs) are an indicator of quality of care because they may reflect poor clinical care and poor coordination of services either during hospitalization or in the immediate post discharge period
• Analytics for PPR Admissions, At-Risk Admissions, PPR Rate, Average Patient stay, Average PPR expenditures by demographics, payer type etc.
Potentially Preventable Complications (PPCs) are
in-hospital complications that are not present on admission but result from treatment during the inpatient stay.
• Analytics for PPC Admissions, At-Risk Admissions, PPC Rate, Average Patient stay, average PPC expenditures by demographics, payer type etc.
Saving costs and identifying payments for processing by reducing coding errors
• Insights into likelihood of claims denial based on human actions throughout revenue cycle management in healthcare
• Recommend corrective actions by predicting the expected financial value of different corrected claims and claims error categories
Eliminate inefficiencies and errors in reconciliation of claims data
• Support for Audits – AHCA, PCP Payment Increase, HEDIS etc.
• Finance and Reconciliation reports for Utilization, medical loss ratio and threshold reports, Premium Reconciliation Report, Check Register Report against Claims Accuracy Report
Validation tool to identify discrepancies in health care services provided and claims submitted
• Easy to follow interface for Medical Records reviewer and approvers
• Crosschecking the claims data and medical records to help recover additional monies and minimize audit exceptions
Machine Learning in healthcare is used for predicting the blood glucose level of the individual.
• Extraction patterns explaining the causes for high/low blood glucose levels
• Insights into reasons for high variance in glucose levels on certain days of the week
HIPPA Compliant portal for Data Analytics accessed through reverse proxy server deployed in DMZ
• Public and Private access for users using secure certificates
• Minimize PHI-related risks with de-identified and aggregated data
Secure Portal Architecture for Data Consolidation and Reporting with PHI Data Encryption and Dual Authentication
• VPC Flow log and Cloud trail for recording traffic and logging every AWS console and API activity
• Cloud watch alerts on security events and encrypted Elastic Block storage
Solution for Real time claims processing to reduce delays and improve quality of care checks
• Real-time update of HL7 messages for application consumption.
• Positive impact on revenue with efficiencies gained in processing more claims
"What we love about ICUBE CSI is their enviable workforce who is very passionate about partners success, showcasing the true meaning of a great synergy. The team has quickly learned the intricacies of Healthcare domain and has provided fantastic solutions. Highly recommend them."
"We really value our long-term relationship with iCube. In addition to the quality of work, a key advantage of partnering with iCube is the governance by the management team. Whenever we had a challenge or opportunity, iCube was a professional, competent partner. I recommend them."
"The University of Florida Institute for Child Health Policy has worked closely with ICUBE CSI for over two years in developing online portals for visualizing health care data. ICUBE CSI has been exceptional with the planning, design, and execution of our portal development. Their developers are talented, professional, and work to understand our needs throughout the entire development process."
"What we love about ICUBE CSI is their enviable workforce who is very passionate about partners success, showcasing the true meaning of a great synergy. The team has quickly learned the intricacies of Healthcare domain and has provided fantastic solutions. Highly recommend them."
"We really value our long-term relationship with iCube. In addition to the quality of work, a key advantage of partnering with iCube is the governance by the management team. Whenever we had a challenge or opportunity, iCube was a professional, competent partner. I recommend them."
"The University of Florida Institute for Child Health Policy has worked closely with ICUBE CSI for over two years in developing online portals for visualizing health care data. ICUBE CSI has been exceptional with the planning, design, and execution of our portal development. Their developers are talented, professional, and work to understand our needs throughout the entire development process."
