Healthcare Analytics

Healthcare analytics is being used to improve processes, boost patient outcomes, and reduce cost of care. The data challenges you face may be industry-wide or specific to your organization, but analytical opportunity can be realized by finding the best IT solutions for your organization.

Healthcare Analytics: How can Systech help?

Whether you’re shifting or upgrading your EMR systems, integrating health record networks, or looking to apply real-time, predictive analytics to accelerate performance, healthcare analytics can be used to drive value within all segments of business. Establish a strong foundation from the start—designing a flexible and robust data environment that serves your business needs now and in the future. Click on the other tabs to see what other analytics use cases we can also help Provider & Payer organizations with.

  • Enterprise Data Warehouse

    Store and process data from operational, financial, and clinical sources for cross-functional analysis. Identify inefficiencies and discover opportunities for growth within your organization.

  • Data Exchange Hub/EDI Compliance

    Improve the speed, quality, safety, and cost of patient care by establishing secure access of patient data to teams, partners, and external networks involved in the care process in compliance with HIPAA EDI standards.

  • Master Patient Index

    Cleanse, merge, and de-duplicate patient records to develop single and complete views for each patient. Create a unique identifier per patient to keep records consistent throughout all departments within your organization.

  • Patient Engagement

    Aggregate patient portal data, patient feedback, and Big Data from wearables (and other various channels) to draw conclusions about patient behavior and preferences. Recommend treatment plans that improve outcomes at the individual level.

  • Population Health

    Segment patients at the population level; integrate cross-continuum care data with general demographic data to understand risks associated with each patient group. Treat patients pre-emptively at the point-of-service based on predicted risk and co-morbidities.

For Providers

Clinical analytics

Use Cases & Solutions

Point of Service Clinical Decision Support

Personalized Medicine

Disease Management/Care Management

Population Health

Financial analytics

Revenue Management

Medical Billing Processing

Claims Management

Operational Intelligence

Centralized Enterprise Integration

Operational Intelligence

Utilization Management

Staffing/Labor Analytics

Inventory/Resource Optimization

Provider Performance Scorecards

Outcomes Management

For Payers

Provider analytics

Use Cases & Solutions

Provider performance scorecard

Evidence based treatment/outcomes analysis

Customer analytics

Customer segmentation

Customer churn rate

Customer profiling

Financial/Operational analytics

Centralized Enterprise Integration

Operational Intelligence

Financial forecasting

Actuarial rating

Patient analytics

Cross-continuum care management

Outcomes management

Disease management

Population health

Healthcare Analytics + Big Data

Get the Big Picture with Big Data

Leveraging Big Data reveals vast opportunities in Healthcare Analytics. Provider organizations can use architectures optimized for big data – i.e. data lakes, cloud-based solutions, Hadoop clusters, etc. – as platforms for practicing Evidence-Based Care, efficiently integrating clinical data, patient data, and research evidence sourced outside of the EHR.  Big Data can also be used to enrich existing internal records to provide more precise analyses. Combining patient data, external personal health data, and geographic data, organizations can more accurately predict costs at the population level. Ask us more about our Big Data and Advanced Analytics solutions that help health practices get a handle on their data volumes and complexity, and provide actionable information that improves patient care, reduces risk, and strengthens the bottom line.


Comprehensive health care data includes not only claims data, but multi-sourced clinical data, socio-demographic data and admit/discharge data, which contributes to a more detailed picture of patient health and activity.


Standardized data is cleansed, has common terminology, and is compliant with regulation, allowing for apples-to-apples analysis.


Timely data comes from EMRs and other provider information systems that show how patients are being treated and where they’re being moved.


Predictive data illuminates patterns that can forecast trends to help you manage risks and costs.

Discover our Big Data Solutions for Healthcare Analytics

Claims Intelligence

Claims processing is time consuming and labor intensive for many healthcare providers, involving varying systems and business units to ensure that claims are paid in a timely way. With so many moving parts in the chain, providers are now developing and utilizing a range of analytical solutions to help them manage their challenges across the entire claims management process.

Learn more

Physician Performance Management

Analyze the performance of your physicians by providing a performance scorecard on an ongoing basis, showcasing individual performance against the aggregate performance of peers. This creates transparency and allows lower-performing physicians to improve their practice and address inefficiencies or bottlenecks within the service process.

Readmission Analysis

Improve patient outcomes and reduce readmissions by grouping your patients by possible determinants of risk. Identify high-risk patients and deliver the right intervention at the right time. Detect historical trends through exploratory data analysis  to reduce the probability of readmission.

Our Services

From strategy to application development, our services cover the full spectrum of Healthcare Analytics, BI capabilities and enablement.

Strategy Development

Develop analytical strategies based on organizational goals, foreseeable opportunities, and technology capabilities.

Technology Evaluation

Maximize your use of technologies and data investments by addressing pain points and establishing best practices.

Enterprise Data Lake

Store and process your raw Big Data into fit-for-purpose data sets. Establish a platform that allows analysts to answer complex questions related to evidence-based care. Accurately predict costs and mitigate risk through population health management.

Enterprise Data Warehouse

Ensure that your data is stored, processed, and accessed efficiently to support the growth of your organization.

EMR Migration/Implementation

Successfully transfer patient information into an electronic format that is complete, clean, secure, and accessible.

Data Exchange/EDI Compliance

Establish standards-compliant (HIPAA, EDI, HL7) exchange of information with team members, partners, payers and outside networks involved in patient care.

Data Quality & Governance

Establish a strong governance strategy to comply with regulation, reduce costs and security risks, and secure sensitive data.

Master Data Management

Identify the most critical information in your organization and create a single source of truth to power business processes and perform advanced healthcare analytics.

Application/Portal Development

Develop custom applications to aid your teams in care management, operational intelligence, and predictive analytics.

Success Stories

Operational & Financial Intelligence at a Drug-Testing Laboratory

At one of the largest drug-testing laboratories in the U.S., Systech built a full enterprise data warehouse that integrated billing data, accounting, expenses, and other lab data. Analysts conducted healthcare analytics & reported on cash reconciliation, procedure payments, summaries or ordered tests, giving managers insight into operational and financial health—at a glance.

Expanding HIE Capabilities for Evidence-Based Care

A nursing-facility group wanted to practice evidenced-based, cost-effective patient care by expanding its health information exchange (HIE) infrastructure and capabilities. Systech partnered with them to establish a comprehensive Information Management Framework that became the hub for data exchange and information sharing both internal and external to the organization.

Development of a Case-Management Application

A digital health solutions company partnered with Systech for the design & development of an application that would document patient status across multiple clinical and diagnostic dimensions, and verify diagnoses. The application gave personalized recommendations based on a patient’s level of care, built on sophisticated decision algorithms. This app eliminated report writing and enabled management decisions to be based on shared information.

Take your organization to the next level

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