PPT-Improving routine data for child health in HMIS

Action plan for Uganda Uganda Team Map of Uganda Total population 346m 2014 Children data 04yrs177 59yrs16 1014yrs142 1519yrs114 lt18yrs 55 Literacy rate 722 Fertility rate 1519yrs 25 . V. ocabulary and . C. omprehension through Read-Alouds. PROJECT ELITE READ ALOUD ROUTINE. The Meadows . Center for Preventing Educational Risk. The University of Texas at . Austin. Materials and Handouts. Developing an . Excellent. Data Quality (DQ) Plan . What do we mean by . Data Quality. ?. Does . your data reflect reality? . How . accurately are you communicating the picture of homelessness in your community to others? . Molly McEvilley, . Abt Associates. Objectives. During this training we will review the following:. Review of data collection tools. Training materials. Repository updates. Importance of Data Quality. Structures in . Open Source Software Development . Digital Traces & Qualitative . Inquiry. Aron Lindberg. Case Western Reserve University. Research Problems. How do OSS projects match the complexity of problems with requisite complexity of routines?. HMIS. Michael Lindsay, ICF International. Natalie Matthews, Abt Associates Inc.. Learning Objectives. Understand . all . components . of a Data Quality Assurance . Program and how this work fits into the overall efforts of the CoC. Inspections. A routine inspection is an interior and exterior inspection that occurs at every property on a regular, recurring . basis. Routine . Inspections: These occur every 10-14 days and must be done no more than 2 days prior than the due date and no later than the due . Goals. Demonstrate the importance of data completeness and its impact on data quality through an exercise. Demonstrate the importance of data accuracy and its impact on data quality through an exercise. PATH & HMIS Integration. Chris Pitcher. Mike Lindsay. Ryan Burger. Presenters:. Chris Pitcher, Senior . Technical. Specialist. ICF International. Mike . Lindsay, Senior . Technical. Specialist. Understanding SSVF Data Better. Updated 5/22/14. Session Topics. Repository upload process. Data Quality policy & threshold limits. Reading validation results. Seven CSV files. Identifying & correcting errors. A set of steps combined to form a performance. Like a story it needs to flow from one trick to another. . We learned many skills that can be used in the routine. Lets think of them all!!!. Rolls. Forward Roll. An Update on Routine Provider Monitoring NC Health Information Management Association Behavioral Health Conference Mary T. Tripp, Policy Unit Leader Accountability Team June 11, 2014 Division of Mental Health, Developmental Disabilities and Substance Abuse Services . SYFTET. Göteborgs universitet ska skapa en modern, lättanvänd och . effektiv webbmiljö med fokus på användarnas förväntningar.. 1. ETT UNIVERSITET – EN GEMENSAM WEBB. Innehåll som är intressant för de prioriterade målgrupperna samlas på ett ställe till exempel:. This document is part of a series that describes how routine data were used in research and evaluations of health programs and projects Data for Impact D4I has compiled these examples from its own wor http://www.community-partnership.org/ . 11/16/2021. 1. Agenda. HMIS Basics and Policies. Intro to ServicePoint. Enter Data As. Singles . programs Data Entry Steps . Common Data Entry Errors. Additional Resources.