Disease Surveillance Software Infographic - SSG, LLC
Casetivity-DSS is a powerful disease surveillance software designed to help public health agencies collect, manage, analyze, and share disease data more efficiently. By automating data workflows and centralizing case management, it empowers public health officials to improve situational awareness and respond more effectively to public health events.
Key Takeaways
- Casetivity-DSS enables public health agencies to manage disease surveillance workflows by combining data exchange, case management, and reporting into a unified platform.
- Replacing disconnected legacy systems with a centralized disease surveillance solution improves data accuracy, operational efficiency, and visibility across programs.
- Comprehensive functionality, including outbreak detection, contact tracing, and laboratory data exchange, supports faster and more effective public health response.
Casetivity: Revolutionizing Disease Surveillance for Public Health
For over 17 years, SSG has been dedicated to addressing the unique challenges the Public Health community faces. To support this mission, we developed Casetivity-DSS, a dynamic and comprehensive Disease Surveillance solution.
Casetivity-DSS offers everything you need for effective disease management, including robust data exchange, unparalleled configurability, advanced case management tools, and strong security features.
With Casetivity-DSS, you can expect to:
- Automate and Optimize Your Operations
- Unify your Data and Legacy Applications
- Reduce Risk and Costs
- Engage all important stakeholders and partners
Out of the box, Casetivity-DSS includes functionality in all of these areas to support your program:
- Outbreak Detection
- Outbreak Management
- Case Management
- Contact Tracing
- Electronic Data Collection
- Follow Up Care Management
- Reporting and Compliance
- Automated Laboratory Test Result Data Exchange
Visit us at ssg-llc.com to learn more about transforming your operations or request a demo.
Casetivity-DSS: Core Features & Capabilities
Data Exchange
- Automated Electronic Laboratory Reporting (ELR): Instantly ingests and processes digital lab results from commercial and clinical laboratories.
- Bidirectional eCR Integration: Supports Electronic Case Reporting to seamlessly exchange critical health data between clinical electronic health records (EHRs) and public health agencies.
- HL7 Data Standardization: Translates disparate, multi-source data formats into standard HL7 and industry-compliant messaging formats automatically.
- Automated Data Deduplication: Identifies and merges duplicate patient and lab records across incoming data streams to ensure a single source of truth.
Case Management
- Dynamic Epidemiological Workflows: Guides disease investigators through standardized, condition-specific workflows to ensure accurate data collection.
- Integrated Contact Tracing: Links cases, contacts, and exposure locations to map out networks and contain the spread of infectious diseases.
- Outbreak Cluster Detection: Groups related cases automatically based on geographic location, timelines, and pathogen strains to spot localized outbreaks early.
- Task and Queue Management: Assigns priority cases to specific investigators or regional teams to optimize public health workloads.
Reporting
- CDC National Notifiable Diseases Surveillance System Compliance: Automatically formats and securely transmits case data in accordance with CDC Message Mapping Guides.
- Real-Time Visualization Dashboards: Generates interactive maps, epidemic curves, and trend charts for rapid data analysis.
- Custom Query Builders: Allow epidemiologists to filter complex datasets by demographics, symptoms, dates, and locations without needing SQL or IT assistance.
- Automated Public Health Alerts: Triggers immediate system notifications or email alerts when specific disease thresholds or anomalies are detected.
Security
- Strict HIPAA Compliance: Features robust administrative, physical, and technical safeguards to fully protect sensitive health information.
- Role-Based Access Control: Restricts system access and data visibility based on individual user roles (e.g., local investigator vs. state administrator).
- End-to-End Data Encryption: Secures all public health data both in transit across networks and at rest within the database infrastructure.
- Comprehensive Audit Logging: Maintains permanent, unalterable logs of all user actions, data modifications, and record views for total accountability.
These capabilities help public health agencies manage real-world surveillance programs more effectively, from routine disease monitoring to outbreak response. Contact us today to learn more about how Casetivity-DSS can modernize your disease surveillance programs.
FAQs
- What is Casetivity-DSS used for in public health?
Public health agencies use a combination of disease surveillance platforms, analytics software, reporting systems, dashboards, and predictive modeling tools to support disease forecasting. These systems collect and process data from laboratories, hospitals, electronic health records, and public health reporting networks.
Platforms like Casetivity are often employed to automate these workflows, enabling continuous data ingestion, normalization, and visualization.
- How does disease surveillance software improve case management?
Disease surveillance software improves case management by replacing manual, paper-heavy workflows with automated, centralized digital tracking. It instantly ingests Electronic Laboratory Reports, routes incoming cases to the appropriate investigators, and provides standardized, condition-specific workflows to guide data collection.
This helps public health teams collaborate more efficiently and respond more quickly to emerging health events.
- What features are included in Casetivity-DSS?
Casetivity-DSS key features include bidirectional electronic case reporting, automated contact tracing and cluster detection, CDC-compliant report builders, and strict HIPAA-compliant access controls. Together, these capabilities help public health agencies manage surveillance data, improve operational efficiency, and support more effective disease monitoring.