Overview
Whether your goal is increasing practice efficiency, improving health outcomes, or revenue growth, our advanced analytics solutions are the best choice to shape your healthcare practice. Evaluate your organization’s analytics-maturity levels along with several use cases. We assist organizations with changing their information into standard information models. Done with enhanced reference information, by conducting more than 210 quality checks taking a gander at business rules, intelligent connections, and more that payer information should follow
Our services
Providers
Hospital analytics
- Real-time data analytics in a medical clinic can measure and break down immense data rapidly
- Variations like non-compliance or threats can be immediately recognized and quickly tended to
- The data analysis process includes a set of data from claims data, R&D data, EHR clinical data, and patient behavior data
- The key performance indicators include analysis of data collected from patient treatment costs, waiting for time, and emergency waiting slots
Preventive & prescriptive analytics
- Better execution of payers, providers, and pharmaceutical organizations by diminishing their outstanding tasks at hand
- Distinguishing proof of mediation models for high-risk populations by joining information from in-office care and home-based telehealth
- The data analysis process includes a set of data from claims data, R&D data, EHR clinical data, and patient behavior data
- Medication improvement is attainable by identifying patient cohorts that are generally reasonable for clinical trials around the world
Population health analytics
- Information collection incorporates clinical applications, claims frameworks, health information exchange, remote patient monitoring, etc.
- Tracking performance scores from anticipation, prevention, and treatment to support and wellness management
- Evaluating cost and quality measurements of population health programs to deliver ROI scores
Payers
Claims analytics
- Claims Analytics solution includes complex data mining to pinpoint payment issues both pre and post-payment
- Surveys claim information against many industry-characterized coding norms, including CMS, NCCI, AMA, etc.
- The solution encourages you to analyze paid claims data to identify overpayments and seek opportunities for recovery
Fraud & risk analytics
- The healthcare fraud action includes illegal medical billing and multiple claims filed by different providers for a similar patient
- With the help of our risk analytics solutions, this can be identified before the claims are paid
- Our AI feature provides a visualization interface to go beyond transactions and break down related activities with alert management
Clinics
Clinical decision support
- CDS is a health information technology system specially designed to provide health experts with clinical decision support
- CDS optimize every aspect of healthcare and provide international standards for providing better health outcomes across the network
- Our CDS implementation process is much easier as it would be embedded with the patient’s EHR to attain its full potential
Clinical business intelligence
- Clinical business intelligence applies data analytics to patient clinical records through different systems for proper care on time
- It easily tracks performance, measures progress towards practice goals, and accountability for better results
- Our solution includes priority conditions dashboards for alerts, patient registry analysis, and performance reporting
Clinical lab informatics
- If managed properly, our clinical lab Informatics Systems can improve the effectiveness and efficiency of the lab operations
- From implementation to lab management, our solution provides accurate insights that maximize ROI
- Our solution includes Lab Informatics Strategy, LIMS Implementation, Computer System Validation (CSV), and QA/QC Management
Hospital Reporting With Seamless Data Analytics Integration
A US-based client offering comprehensive implementation & management services, cloud-based software solutions, research, and strategic consulting but lacked a proper solution for validating & analyzing high-volume clinical data
0 +
Improved service levels increased existing customer satisfaction, and allowed them to expand more quickly without increasing staff
0 %
Their efficiency increased by accepting any data from providers & transforming it to feed any of the firm’s cloud-based solutions
0 x
An enterprise-level “data acquisition” framework increased performance, accuracy, and scalability by 20 times
