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Overview Project Purpose Project Objectives …
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cmext.ahrq.gov/confluence/plugins/viewsource/viewpagesrc.action?pageId=109249091
Description NIDDK and AHRQ convened three Technical Expert Panels (TEP) to identify data elements important to the care of people with multiple chronic conditions and associated data standards from common clinical terminologies (i.e., ICD-10, SNOMED-CT, LOINC, RxNorm, CPT). Each TEP is focused on data elements relevant…
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NIDDK and AHRQ convened three Technical Expert Panels (TEP) to identify data elements important to the care of people with multiple chronic conditions and associated data standards from common clinical terminologies (i.e., ICD-10, SNOMED-CT, LOINC, RxNorm, CPT). Each TEP is focused on data elements relevant to specific…
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August 26, 2019 - discussion of a future vision of care cannot be wholly separated from resource considerations—both in terms … PHR screens through AI/ML retrieval when triggered by related PICO concepts and/or patient preference terms … itself (in addition to the knowledge artifacts) would require tagging the many specific concepts like terms … , phrases, statistics, and the many relations across the terms, phrases, and statistics. … facilitated by ontology mapping of all clinical taxonomies to surface all synonyms with single search terms
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cmext.ahrq.gov/confluence/plugins/viewsource/viewpagesrc.action?pageId=114990891
August 26, 2019 - discussion of a future vision of care cannot be wholly separated from resource considerations—both in terms … PHR screens through AI/ML retrieval when triggered by related PICO concepts and/or patient preference terms … itself (in addition to the knowledge artifacts) would require tagging the many specific concepts like terms … , phrases, statistics, and the many relations across the terms, phrases, and statistics. … facilitated by ontology mapping of all clinical taxonomies to surface all synonyms with single search terms
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cmext.ahrq.gov/confluence/plugins/viewsource/viewpagesrc.action?pageId=109249009
NIDDK and AHRQ convened three Technical Expert Panels (TEP) to identify data elements important to the care of people with multiple chronic conditions and associated data standards from common clinical terminologies (i.e., ICD-10, SNOMED-CT, LOINC, RxNorm, CPT). Each TEP is focused on data elements relevant to specific…
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cmext.ahrq.gov/confluence/plugins/viewsource/viewpagesrc.action?pageId=114990968
December 01, 2020 - What Was Done to Develop the Roadmap Draft While there are many initiatives focused on enhancing parts of the knowledge ecosystem (see Figure 8. Sampling of Non-AHRQ Initiatives Addressing the Knowledge Ecosystem With Which Roadmap Execution Coordinates), there currently isn’t an entity responsible for delivering the h…
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cmext.ahrq.gov/confluence/exportword?pageId=114990968
December 01, 2020 - Exported From Confluence
ACTS 2019 Roadmap
What Was Done to Develop the Roadmap Draft
While there are many initiatives focused on enhancing parts of the knowledge ecosystem (see Figure 8. Sampling of Non-AHRQ Initiatives Addressing the Knowledge Ecosystem With Which Roadmap Execution Coo…
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cmext.ahrq.gov/confluence/download/export/pdfexport-20230321-210323-0538-1037/114990891_86f104c4b7544a98a9322232d9df065c-210323-0538-1038.pdf?contentType=application/pdf
August 26, 2019 - discussion of a future vision of care cannot be wholly
separated from resource considerations—both in terms … screens
through AI/ML retrieval when triggered by related PICO concepts and/or patient preference terms … itself (in addition to the knowledge artifacts) would require tagging the many
specific concepts like terms … , phrases, statistics, and the many relations across the terms, phrases, and statistics. … facilitated by ontology mapping of all clinical taxonomies to surface all synonyms with single search terms
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cmext.ahrq.gov/confluence/plugins/viewsource/viewpagesrc.action?pageId=109249690
NIDDK and AHRQ convened three Technical Expert Panels (TEP) to identify data elements important to the care of people with multiple chronic conditions and associated data standards from common clinical terminologies (i.e., ICD-10, SNOMED-CT, LOINC, RxNorm, CPT). Each TEP is focused on data elements relevant to specific…
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cmext.ahrq.gov/confluence/plugins/viewsource/viewpagesrc.action?pageId=120324166
NIDDK and AHRQ convened three Technical Expert Panels (TEP) to identify data elements important to the care of people with multiple chronic conditions and associated data standards from common clinical terminologies (i.e., ICD-10, SNOMED-CT, LOINC, RxNorm, CPT). Each TEP is focused on data elements relevant to specific…
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cmext.ahrq.gov/confluence/plugins/viewsource/viewpagesrc.action?pageId=109249682
NIDDK and AHRQ convened three Technical Expert Panels (TEP) to identify data elements important to the care of people with multiple chronic conditions and associated data standards from common clinical terminologies (i.e., ICD-10, SNOMED-CT, LOINC, RxNorm, CPT). Each TEP is focused on data elements relevant to specific…
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cmext.ahrq.gov/confluence/plugins/viewsource/viewpagesrc.action?pageId=109249694
NIDDK and AHRQ convened three Technical Expert Panels (TEP) to identify data elements important to the care of people with multiple chronic conditions and associated data standards from common clinical terminologies (i.e., ICD-10, SNOMED-CT, LOINC, RxNorm, CPT). Each TEP is focused on data elements relevant to specific…
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cmext.ahrq.gov/confluence/plugins/viewsource/viewpagesrc.action?pageId=109248818
NIDDK and AHRQ convened four Technical Expert Panels (TEP) to identify data elements important to the care of people with multiple chronic conditions and associated data standards from common clinical terminologies (i.e., ICD-10, SNOMED-CT, LOINC, RxNorm, CPT). Each TEP is focused on data elements relevant to specific …
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cmext.ahrq.gov/confluence/exportword?pageId=109248818
Exported From Confluence
Technical Expert Panels
NIDDK and AHRQ convened four Technical Expert Panels (TEP) to identify data elements important to the care of people with multiple chronic conditions and associated data standards from common clinical terminologies (i.e., ICD-10, SNOMED-CT, L…
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cmext.ahrq.gov/confluence/download/temp/pdfexport-20230228-280223-2132-2001/114990891_7debd1c7063a4c0ba91a55bd2226bbb1-280223-2132-2002.pdf?contentType=application/pdf
January 01, 2002 - discussion of a future vision of care cannot be wholly
separated from resource considerations—both in terms … screens
through AI/ML retrieval when triggered by related PICO concepts and/or patient preference terms … itself (in addition to the knowledge artifacts) would require tagging the many
specific concepts like terms … , phrases, statistics, and the many relations across the terms, phrases, and statistics. … facilitated by ontology mapping of all clinical taxonomies to surface all synonyms with single search terms