ATTACHMENT ONE.docx
DOCX document 28 KB Posted
- Attached to
- Program Evaluations
- Solicitation number
- 97499 O3
- Issued by
- Lancaster County, Nebraska
About this file
This is an Attachment document outlining the process evaluation structure architecture for the Nebraska Department of Health and Human Services (DHHS) Public Health's Comprehensive Cancer Control Program (NE CCCP). The document details a comprehensive evaluation framework divided into four main components: Business, Analytics, Data Sources, and Technical aspects.
The framework specifies detailed tasks under each component, including identifying subject matter experts (SMEs), conducting interviews, and documenting processes. The Business section focuses on workflow documentation, capability assessment, and pain point identification. The Analytics component covers reporting and interface inventories, operational reports mapping, and data utilization analysis. The Data Sources section encompasses data requirements, modeling, and lineage documentation, while the Technical component addresses platform infrastructure, security mapping, and disaster recovery planning. No specific pricing terms, set-asides, or funding information are provided in this attachment.
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Text version
ATTACHMENT 1
MLTC Process Evaluation Structure
| Architecture | Task | |
| Business | ||
| Business Vision |
Identify business SMEs Conduct business interview(s) Draft business process work flows Document business capabilities and requirements Record business pain points and information gaps Delineate data quality and system deficiency issues
| Analytics |
| Identify reporting and analytic SMEs |
Conduct interview(s)
Draft applications and interfaces inventory
Inventory operational reports
Generate operational reports source-to-target mappings
Inventory analytical reports and source-to-target mappings
Generate analytical reports source-to-target mappings
Compose data heat/utilization map
Catalog reporting and analytics user listing
| Data Sources |
| Identify data/technical SMEs |
Conduct data interview(s)
Document data requirements, standards, and policies
Record data quality and integrity practices
Provide conceptual data model
Provide logical data model
Provide physical data model
Outline data lineage
Data definitions
Data file layouts
Data reference lookups
Catalog data source user listing
| Technical |
| Identify SMEs |
Conduct interview(s)
Acquire platform and infrastructure diagrams
Secure security and privacy maps
Procure data operations and archival scheme
Obtain disaster recovery plan
File details come from the government source that posted it. Updated .