SOURCES SOUGHT
70 -- Natural Language Processing Software
- Notice Date
- 2/16/2010
- Notice Type
- Sources Sought
- NAICS
- 511210
— Software Publishers
- Contracting Office
- Social Security Administration, Office of Budget, Finance, and Management, Office of Acquisition and Grants, 1st Floor, Rear Entrance, 7111 Security Blvd., Baltimore, Maryland, 21244
- ZIP Code
- 21244
- Solicitation Number
- SSA-SSS-10-NLP
- Archive Date
- 3/13/2010
- Point of Contact
- Michael V. DeAngelis, Phone: 410-965-9543
- E-Mail Address
-
Mike.DeAngelis@ssa.gov
(Mike.DeAngelis@ssa.gov)
- Small Business Set-Aside
- N/A
- Description
- The Social Security Administration (SSA) is seeking providers of software solutions for natural language processing in a medical context. SSA requests medical evidence to support the disability claims process. Today, requests for medical evidence, along with the patient's authorization to release information, are sent to the healthcare provider. In turn, healthcare providers have multiple channels (mail, fax, web, and health information technology (IT) interoperability) to respond back to SSA with medical evidence. In support of SSA's disability process, we are pursuing several initiatives in health IT directed toward interoperable exchange of claimant medical records to speed receipt and subsequent case decisions. A significant element of these efforts is the application of intelligent analysis to the medical evidence received to assess any potential matches with policy guidance and facilitate subsequent manual review. The target solutions must address the following functionality: •· - Ability to process clinical natural language free text and retrieve clinical concepts using annotation, classification or machine learning techniques •· - Ability to represent clinical concepts in ICD-9, ICD-10 (International Classification of Diseases), CPT (Current Procedural Terminology), SNOMED-CT (Systematized Nomenclature of Medicine), LOINC (Logical Observation Identifiers Names and Codes), RxNorm, UMLS (Unified Medical Language System), ICF (International Classification of Functioning, Disability and Health), NDF-RT (National Drug File - Reference Terminology), HCPCS (Healthcare Common Procedure Coding System) and other standardized medical terminologies •· - Ability to disambiguate concepts, concept-to-patient relationships, and grammatical constructs such as uncertainty and negation •· - Manage clinical concepts ontology with mappings to standardized medical terminologies •· - Ability to easily update and maintain ontology and language model via automated tools, machine learning capabilities, or other techniques •· - Ability to handle text in various formats, including: HL7 CDA documents, (Clinical Document Architecture), HL7 CCD documents (Continuity of Care Document), ATSM CCR documents (Continuity of Care Record), XML documents, text format documents, and rich-text format documents, as well as text content found in proprietary formats (e.g., Adobe PDF, Microsoft Word, OpenOffice, StarOffice, Corel WordPerfect) •· - Componentized system functionality that can be easily integrated with other Agency software processes •· - Ability to reliably process documents in an automated mode •· - Capabilities for installation, integration, maintenance and operational support for the solution •· - Ability to specify mappings to a proprietary medical terminology •· - Ability to retrieve non-clinical concepts describing patient functional capacity and activities of daily living •· - Dynamic viewer for resulting concepts retrieved from medical evidence text which provides interactivity with human decision writers and case examiners •· - Technologies for automated intelligent analysis of retrieved concepts against rules sets or other clinical decision technologies •· - Tools for mapping of a rule set to an automated analysis technology •· - Ability to provide management information regarding number of documents processed, statistics on concept matches, information on interactions with human examiners, etc. •· - Technologies that support an on-site solution Responding sources should provide detail of both their software capabilities and clinical application experience sufficient for SSA to assess the feasibility of procurements in this area. This is not a request for proposal, therefore SSA will not honor or respond to written and/or verbal requests for copies of a solicitation or other information related to this announcement. SSA will use this information in their assessment of capable sources. Interested sources that believe they have the capability to address the services required should submit a detailed statement of their capabilities to Michael DeAngelis, Contract Specialist, via email at Mike.DeAngelis@ssa.gov. Please reference SSA-SSS-10-NLP in the email subject line. Responses must be received by 5:00 pm EST on Friday, February 26, 2010.
- Web Link
-
FBO.gov Permalink
(https://www.fbo.gov/spg/SSA/DCFIAM/OAG/SSA-SSS-10-NLP/listing.html)
- Place of Performance
- Address: Social Security Administration, Baltimore, Maryland, 21235, United States
- Zip Code: 21235
- Zip Code: 21235
- Record
- SN02065801-W 20100218/100216234353-a80ec5bc0845332e4cf258e1ed11d23d (fbodaily.com)
- Source
-
FedBizOpps Link to This Notice
(may not be valid after Archive Date)
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