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Healthcare & Life Sciences at Nexgensis

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Data and Analytics Services for Healthcare & Life Sciences

The healthcare industry faces unique challenges in managing data from diverse sources such as EHRs, HL7, and FHIR protocols. Nexgensis helps healthcare organizations overcome these hurdles by delivering tailored data solutions that improve operational efficiency, ensure compliance, and unlock the power of advanced analytics. Our expertise spans across the healthcare ecosystem, enabling providers, payers, and life sciences companies to harness the value of their data to drive better patient outcomes, reduce costs, and streamline processes.

Our comprehensive approach ensures that your healthcare data is accurate, accessible, and actionable, helping you make more informed decisions in real-time.

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How We Drive Results with Data and Analytics for the Healthcare Industry

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Process HL7, FHIR, and EHR Data

Managing complex healthcare data requires expertise in handling multiple data formats. Nexgensis brings extensive experience in ingesting, transforming, and operationalizing healthcare data at scale. We standardize custom data flows, ensuring that your healthcare data is not only compliant but also easy to analyze and derive value from.

Applying AI and ML to Healthcare

Healthcare data presents unique challenges in the application of AI and machine learning, especially regarding verifiability and transparency of outcomes. Nexgensis ensures that all components of your machine learning workflows are versioned, trackable, and reproducible, helping you implement AI-driven solutions that are compliant with regulations while providing .

Advanced Analytics in a Regulated Environment

Navigating healthcare’s strict regulatory environment (HIPAA, HITRUST, GDPR) requires careful data governance. Our metadata-driven approach ensures that advanced analytics are implemented with compliance in mind, giving you confidence that your solutions will meet industry standards while delivering meaningful insights.

Improving Quality, Efficiency, and Productivity

Beyond building robust data products, Nexgensis fosters a culture of continuous improvement in your organization. We equip your teams with the tools and knowledge to maintain and enhance the value derived from your data long after project completion, improving care delivery and patient satisfaction.

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Healthcare & Life Sciences Areas of Expertise

Commercial and Clinical Analytics

Nexgensis helps healthcare providers and life sciences companies combine data from managed care, clinical trials, and market research to optimize product offerings, convert patients and prescribers, and improve market positioning. Our solutions also enhance clinical decision-making through deeper data integration.

Patient 360 / Member 360

Gain a comprehensive view of your patients or members by integrating disparate data sources like EHR, HL7, and FHIR into unified longitudinal records. Our approach improves patient outcomes by providing healthcare providers with actionable insights at every stage of the patient journey.

Scalable Data Sharing

Nexgensis helps organizations securely share healthcare data with service providers and partners, ensuring that data is accessible to the right people at the right time while maintaining compliance with privacy regulations.

Health Plan Quality Reporting

Our advanced analytics solutions unlock more value from healthcare data, helping organizations streamline quality reporting and achieve regulatory compliance. Whether you’re optimizing health plans or improving patient care.

Got Questions? We’ve Got Answers.

How can data-driven solutions improve care delivery in healthcare and life sciences?
Data-driven solutions can significantly enhance care delivery in healthcare and life sciences by enabling personalized medicine through patient-specific data analysis, improving clinical decision-making with predictive analytics, streamlining operations with real-time data insights, and enhancing patient engagement through tailored communication and monitoring.
What are the key challenges of applying AI and ML in healthcare?
The key challenges of applying AI and ML in healthcare include data privacy and security concerns due to sensitive patient information, the need for high-quality, diverse datasets to train models effectively, integration issues with existing healthcare systems, regulatory compliance and ethical considerations
How can we leverage data to ensure regulatory compliance and optimize operations?
We can leverage data to ensure regulatory compliance and optimize operations by implementing robust data analytics to monitor and report compliance metrics in real-time, utilizing automated data management systems to maintain accurate records, and conducting regular audits to identify areas for improvement.

Case Studies

Case Study: Enhancing Healthcare Operations with Predictive Analytics Learn how Nexgensis helped a leading healthcare provider reduce wait times, optimize resource allocation, and improve patient satisfaction through real-time predictive analytics.

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2220 Plymouth Rd #302, Hopkins, Minnesota(MN), 55305

Call us: (234) 109-6666

Mon – Sat: 8.00am – 18.00pm / Holiday : Closed