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Email: himss20@semedy.com
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Data collection forms

Semedy's Data Collection Solution, available through the Clinical Knowledge Management System (CKMS) platform, was designed using real-world examples from leading healthcare institutions. The solution leverages standards-based models to represent various data collection assets (e.g. forms, questionnaires, data elements, value sets, etc.) within a single repository, thereby providing the ability to:

  • Manage provenance, versioning, and relevant metadata for each data collection asset

  • Browse data elements, value sets, and forms to verify downstream dependencies

  • Detect similar or redundant forms and data elements to facilitate standardization

  • Prevent untoward consequences of changes across assets

  • Map assets to reference terminologies to enhance reporting and interoperability

  • Promote adoption of Information Models to support standardized data collection

 

The CKMS platform enables preconfigured and flexible models, extract/transform/load (ETL) pipelines, extensible metadata schemas, convenient authoring templates, and configurable views that support efficient asset management. Content updates can be achieved using CKMS as the "source of truth" or by using scheduled source content exports.

Implementation

 

Starts with retrieving your organization’s data collection assets from relevant sources and mapping them to preconfigured models within CKMS. Sources can be periodically refreshed using our ETL framework. Content within CKMS becomes the central repository for content standardization activities. Alternatively, data collection content can be managed within the CKMS environment with a periodic refresh from the source systems.

 

Demonstration

Showcases core features of CKMS using specific models, queries, and validation rules created to represent and manage clinical documentation assets. The demonstration incorporates the capability to:

  • Search forms and concepts using keywords and more complex search strings and filters, and visualize using custom presentation templates

  • Authoring of forms, value sets, concepts, and concept mappings

  • Use reference terminologies to index forms, data elements, and value sets, and to identify specific properties and leverage mappings across asset types 

  • Find and confirm links and groupings (e.g. cause of death reason types) using queries 

  • Utilize validation rules to identify inactive data elements and value set members

  • Import reference content from external sources (e.g. caDSR, NCI Thesaurus, UMLS)

Manage and standardize data collection forms