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DATA DICTIONARY HIS Data Standards Released July 2015 U.S. Department of Housing and Urban Development Version 3 Contents 1. HIS DATA DICTIONARY OVERVIEW ........................................................................................................
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How to fill out HMIS data standards data:

01
Familiarize yourself with the HMIS data standards documentation: Before filling out HMIS data standards data, it is important to understand the guidelines and requirements set forth by the HMIS data standards. Review the documentation thoroughly to ensure compliance.
02
Gather the necessary information: Collect all the relevant information that needs to be included in the HMIS data standards data. This may include client demographics, income details, housing situation, services received, health information, and more.
03
Use the appropriate data elements: Refer to the HMIS data standards documentation to determine which specific data elements are required for each section. Ensure that you use the correct codes and terminology specified by the standards to accurately capture the required information.
04
Enter the data accurately: Pay close attention to detail when entering the data. Double-check the information to avoid any mistakes or inaccuracies. It's crucial to maintain data integrity and ensure that the data entered aligns with the client's actual situation and services received.
05
Update the data regularly: HMIS data standards data should be updated regularly to reflect any changes in the client's circumstances or services received. Make it a practice to review and update the data on a timely basis to ensure its accuracy and relevancy.

Who needs HMIS data standards data:

01
Service providers: Service providers, such as homeless shelters, transitional housing programs, and support services agencies, require HMIS data standards data to effectively manage and evaluate their programs. The data helps them assess the needs of their clients, allocate resources, track outcomes, and determine the effectiveness of the services provided.
02
Government agencies: HMIS data standards data is essential for government agencies responsible for addressing homelessness and managing funding allocations. They rely on this data to identify trends, measure the effectiveness of interventions, and make informed policy decisions to combat homelessness at a local, state, and national level.
03
Researchers and analysts: Researchers and analysts who study homelessness and related issues rely on HMIS data standards data to conduct studies, evaluate program effectiveness, and inform evidence-based practices. This data provides valuable insights into the demographics, circumstances, and outcomes of individuals experiencing homelessness, aiding in the development of targeted interventions and policies.
In conclusion, filling out HMIS data standards data requires a thorough understanding of the guidelines, accurate data entry, and regular updates. The data is crucial for service providers, government agencies, researchers, and analysts to effectively address homelessness, allocate resources, and inform evidence-based practices.
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HMIS data standards data refers to the set of standardized data elements and data collection protocols established by the Department of Housing and Urban Development (HUD) for homeless management information systems.
Service providers and Continuums of Care (CoCs) that receive HUD funding are required to file HMIS data standards data.
HMIS data standards data can be filled out using HMIS software systems that have been certified by HUD. Providers must enter client information into the system following the designated data standards.
The purpose of HMIS data standards data is to track and monitor homeless populations, collect data on services provided, and assess the effectiveness of interventions to address homelessness.
Information such as client demographics, housing status, services received, and outcomes must be reported on HMIS data standards data.
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