Rapidly evolving market dynamics, regulatory forces and consumer demands are continually adding new layers of complexity to the healthcare industry. Systech works alongside clients to develop enterprise analytics strategies for Healthcare organizations to navigate the digital era.
Transform your Operations for the Digital Era
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.
Cloud Services & Migration
Enable an agile infrastructure to innovate your business, connect patient data networks with partners, and improve population health analytics.
Application & Platform Modernization
Modernize your legacy applications and systems with a proven approach, that ensures zero downtime and optimizes your costs.
Machine Learning and AI
Run simulations in a fraction of the current time, and make decisions faster and more accurately with intelligent, robust and scalable analytics.
A connected enterprise for connected experiences
Our services are designed to support you on your Digital Transformation Journey, from Strategy, to Technology to Analytics. Our technology & engineering experts can help you connect your enterprise data, across business systems, factory equipment, and supply chains with a powerful digital foundation. Then, our Analysts and Data Scientists can help you build data-driven decision making into the core of your business.
Drive innovation across your business
Systech provides insurance firms the services to build a secure, resilient global infrastructure they need to differentiate themselves and adapt to the needs of tomorrow. Our technical expertise, experience and skillset empowers organizations to modernize their infrastructure, meet rapidly changing customer behaviors and expectations, and drive business growth.
Sales & Marketing
Build stronger patient relationships and optimize sales by delivering marketing and offers targeted to specific customer needs. Offer personalized & relevant health care information and offers to patients based on data-driven customer insights and machine learning techniques.
EHR / EMR & Patient Data Management
Improve the speed, quality, safety, and cost of patient care with accessible and standardized patient records. Systech has multiple solutions to improve the way patient records are stored, retrieved, and shared between internal and external networks:
- Master Patient Index
- Data Exchange Hub / EDI Compliance
- Enterprise Data Warehouse
Enhanced Patient Experience & 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 Management
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.
Develop analytical strategies based on organizational goals, foreseeable opportunities, and technology capabilities.
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.
Big Data Solutions for Healthcare Analytics
Big Data reveals vast opportunities for Healthcare Analytics. Using architectures optimized for big data – i.e. data lakes, cloud-based solutions, Hadoop clusters, etc. – as platforms for practicing Evidence-Based Care, provider organizations can efficiently integrating clinical data, patient data, and research evidence sourced internally and externally to 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.
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.
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.
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.
Operational & Financial Intelligence at a Drug-Testing Laboratory
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.
Case Management Application for Digital Health Solutions Company
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.