PPT-NCQA & PCMH Recognition Program

For the Australia Healthcare amp Hospitals Association November 2016 NCQA Team Michael Barr Tom Fluegel Tricia Barrett Lisa Slattery Welcome 2 1 Introductions Michael Barr 10 minutes . using Convolutional Neural Network and Simple Logistic Classifier. Hurieh. . Khalajzadeh. Mohammad . Mansouri. Mohammad . Teshnehlab. Table of Contents. Convolutional Neural . Networks. Proposed CNN structure for face recognition. Vakul Sharma. © Vakul Corporate Advisory, 2014. Leap of faith. Recognizing “Foreign Certifying Authorities” by . two statutory instruments. :. . “Information Technology (Recognition of Foreign Certifying Authorities operating under a Regulatory Authority) Regulations, 2013”*. (Working with Elements 3, 4 & 6). Your Partner in Practice. OP . User’s . Conference. April 23-25, 2015. Agenda. Connect the dots in Elements 3 & 4 to understand the requirements. Selecting . March 28, 2012. Nina Brown, MPH, CHES, Public Health Analyst, OQD. Michelle Bright, Public Health Analyst, OAM. U.S. Department of Health and Human Services. Health Resources and Services Administration. Medical Home . Neighborhood. March 29, 2014. Jean Malouin, M.D., M.P.H.. Medical Director, Value Partnerships.  .  . Agenda. Defining the PCMH-N concept. BCBSM PGIP Overview. The BCBSM PCMH Neighbor . . hongliang. . xue. Motivation. . Face recognition technology is widely used in our lives. . Using MATLAB. . ORL database. Database. The ORL Database of Faces. taken between April 1992 and April 1994 at the Cambridge University Computer . Linda Shapiro. CSE 455. 1. Face recognition: once you’ve detected and cropped a face, try to recognize it. Detection. Recognition. “Sally”. 2. Face recognition: overview. Typical scenario: few examples per face, identify or verify test example. Connectathon. 14. Participants. University of Utah. Epic. Regenstrief. Prepared Mind. Partners Healthcare. Transcend Insights. IBM. NCCN. Evinance. Apelon. NCQA. Optum. Health. NCCN Chemotherapy Order Templates. HEDIS OPERATIONS . HEALTHCARE OUTCOMES & ANALYSIS. 1. HEDIS ® Made Easy. What you really need to know. Disclaimer. “This document is merely a tool for providers and provides a general summary on some limited HEDIS® Program requirements. This document should not be used as legal advice or expert advice or comprehensive summary of the HEDIS ® Program. Please refer to ncqa.org for HEDIS ® Program measures and guidelines as well as relevant statutes. . Value Through Unity. November 5th, 2016. Executive Summary. Definitions. MIPS: Merit-based Incentive Payment System. PCMH: Patient Centered Medical Home. PCSP: Patient Centered Specialty Practice. Advanced APM: . This Photo. by Unknown Author is licensed under . CC BY-SA-NC. Application Process. What happens to all that data we put in . pTrack. ?. Recognition. Forum Recognition Booklets. Banners. Badges. Reports:. Gianluca Valentino. University of Malta, . Msida. , Malta. Belen . Salvachua. CERN, Geneva, Switzerland. Thanks also to the LHC . collimation team for support in measurements and analysis. ICFA Mini-Workshop: Machine Learning Applications for Particle Accelerators. Shield PCMH Assessment . Projects: Phase 1 and Phase 2 . May 10, 2012 . Shelley Vrungos, Ph.D. .. Research Analyst. MSI Program. . MSI Patient Satisfaction Survey Results: Q3 . (Jan-Mar 2012) . 98% know their medical home provider. Linda Shapiro. CSE 455. 1. Face recognition: once you’ve detected and cropped a face, try to recognize it. Detection. Recognition. “Sally”. 2. Face recognition: overview. Typical scenario: few examples per face, identify or verify test example.