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Total Results: 30 records

Showing results for "recognized".

  1. cdsic.ahrq.gov/cdsic/2024-annual-meeting-viewpoint
    September 18, 2024 - Advancing PC CDS Through Real-World Projects AHRQ has long recognized the importance of using a learning … While Annual Meeting participants recognized the potential of AI, they also stressed the need for a cautious
  2. cdsic.ahrq.gov/cdsic/centers
    January 02, 2025 - The Operations Center houses a Steering Committee of nationally recognized multidisciplinary experts 
  3. cdsic.ahrq.gov/cdsic/cdsic-about
    January 01, 2016 - It is supported by nationally recognized CDS and health information technology experts, as well as patient
  4. cdsic.ahrq.gov/sites/default/files/2024-02/Standards%20and%20Regulatory%20Frameworks%20Workgroup%20Charter_Final.pdf
    January 01, 2024 - Supporting healthcare delivery system and PCOR transformation through enhanced use of PC CDS will require recognized
  5. cdsic.ahrq.gov/sites/default/files/2023-01/Final%20Workgroup%20Charter_CDS%20Standards%20and%20Regulatory%20Frameworks_Personnel%20Update_Jan26.pdf
    January 01, 2023 - Supporting healthcare delivery system and PCOR transformation through enhanced use of PC CDS will require recognized
  6. cdsic.ahrq.gov/sites/default/files/2024-09/CDSiC%20Infographic%202024_508_0.pdf
    January 01, 2024 - Patient Preferences Are Essential to Bringing the Patient Into Focus Patient Preferences Are Essential to Bringing the Patient Into Focus Patient preferences are an essential component of the patient voice and their subsequent use in patient-centered clinical decision support (PC CDS) can advance pati…
  7. cdsic.ahrq.gov/cdsic/patient-preferences-infographic
    September 20, 2024 - : Skip to main content HHS.gov Menu Main navigation CDS Home CDS Innovation Collaborative An official website of the Department of Health & Human Services …
  8. cdsic.ahrq.gov/cdsic/clinicians
    May 22, 2025 - : Skip to main content HHS.gov Menu Main navigation CDS Home CDS Innovation Collaborative An official website of the Department of Health & Human Services …
  9. cdsic.ahrq.gov/sites/default/files/2024-12/OY2_Final%20SRF%20Workgroup%20Charter.pdf
    January 01, 2024 - Supporting healthcare delivery system and PCOR transformation through enhanced use of PC CDS will require recognized
  10. cdsic.ahrq.gov/cdsic/involving-endusers-codesign
    August 01, 2023 - : Skip to main content HHS.gov Menu Main navigation CDS Home CDS Innovation Collaborative An official website of the Department of Health & Human Services …
  11. cdsic.ahrq.gov/sites/default/files/2024-08/TPC%20Patient%20Preferences%20Workflow%20Lifeflow_8.15.2.pdf
    January 01, 2024 - .” – Key Informant 9 Key informants also recognized the value in providing patients with … Most informants recognized that certain preferences may not be important to all patients.
  12. cdsic.ahrq.gov/sites/default/files/2023-08/Final%20TPC%20P3_Source%20Credibility%20to%20AHRQ%208.2.23_508c%20Version.pdf
    January 01, 2023 - end users that PC CDS recommendations are based on guidelines created by professional societies (recognized … types of experts or entities (e.g., medical or scientific professionals) have traditionally been recognized
  13. cdsic.ahrq.gov/sites/default/files/2024-07/OY1_FINAL%20TPC%20Patient%20Perspectives%20Generative%20AI.pdf
    January 01, 2024 - Participants recognized that views on AI were not universal and were dependent upon each patient’s level … Additionally, participants recognized that a patient’s willingness to use AI tools for healthcare would
  14. cdsic.ahrq.gov/cdsic/year-3-viewpoint
    February 29, 2024 - : Skip to main content HHS.gov Menu Main navigation CDS Home CDS Innovation Collaborative An official website of the Department of Health & Human Services …
  15. cdsic.ahrq.gov/sites/default/files/2023-09/FINAL%20OO%20PC%20CDS%20SDM%20Report.pdf
    January 01, 2023 - Outcomes and Objectives Workgroup: Integration of Patient-Centered Clinical Decision Support Into Shared Decision Making Outcomes and Objectives Workgroup: Integration of Patient-Centered Clinical Decision Support Into Shared Decision Making Agency for Healthcare Research and Quality 5600 Fishers L…
  16. cdsic.ahrq.gov/sites/default/files/2023-05/InnovationCenterQ4ProgressReportFinalForDTPFINAL.pdf
    January 01, 2023 - CDSiC Innovation Center Quarterly Report INNOVATION CENTER PROGRESS REPORT J A N U A R Y 2 0 2 3 CDSiC Innovation Center Quarterly Report Presented by: Prashila Dullabh, Dean Sittig, Aziz Boxwala, Adam Wright, Edna Shenvi, Elise Russo, Laura Zahn, and Courtney Zott NORC at the University of …
  17. cdsic.ahrq.gov/sites/default/files/2023-06/InnovationCenterQ12023ProgressReportDraft.pdf
    January 01, 2023 - CDSiC Innovation Center: Quarterly Report INNOVATION CENTER PROGRESS REPORT A P R I L 2 0 2 3 CDSiC Innovation Center: Quarterly Report Agency for Healthcare Research and Quality 5600 Fishers Lane Rockville, MD 20857 www.ahrq.gov Contract No: 75Q80120D00018 Prepared by: NORC at the Univers…
  18. cdsic.ahrq.gov/sites/default/files/2025-06/IAS%20Topic%20Highlight%20AI%20and%20PC%20CDS_508%20Compliant.pdf
    January 01, 2025 - Artificial Intelligence-Supported Patient-Centered Clinical Decision Support: A Summary of Considerations AHRQ Pub. No. 25-0057 June 2025 Artificial Intelligence-Supported Patient- Centered Clinical Decision Support: A Summary of Considerations Artificial intelligence (AI) has the potential to…
  19. cdsic.ahrq.gov/sites/default/files/2024-07/Final%20IAS_AI%20Landscape%20Assessment%206.24.24%20(003).pdf
    January 01, 2024 - Implementation, Adoption, and Scaling Workgroup: Landscape Assessment on the Use of Artificial Intelligence To Scale PC CDS Implementation, Adoption, and Scaling Workgroup: Landscape Assessment on the Use of Artificial Intelligence To Scale PC CDS Agency for Healthcare Research and Quali…
  20. cdsic.ahrq.gov/sites/default/files/2024-10/IAS_Key%20Factors%20and%20Considerations%20for%20Assessing%20the%20Value%20of%20PC%20CDS.pdf
    January 01, 2024 - Informants recognized some challenges associated with the generalizability of findings from economic

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