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1 Haven for Hope Way, San Antonio, Texas 78207Homeless Management Information System (HIS) Policies & Procedures Updated: February 2020Developed by: HIS Lead Agency and SARAH Approved by: COC Board
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How to fill out hmis data quality plan

01
To fill out HMIS data quality plan, follow these steps: 1. Start by understanding the purpose of the data quality plan and how it aligns with the overall HMIS goals.
02
Identify the key stakeholders involved in HMIS data collection and management.
03
Review the data quality standards and guidelines provided by the HMIS organization.
04
Develop a plan that includes specific goals, objectives, and actions to ensure data quality.
05
Define data quality metrics and indicators to measure the effectiveness of the plan.
06
Assign responsibilities to staff members or teams responsible for implementing the data quality plan.
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Provide training and resources to staff members to ensure their understanding of data quality requirements and how to meet them.
08
Regularly monitor and evaluate the data quality plan and make necessary adjustments as needed.
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Document all activities related to data quality and maintain a record of improvements made over time.
10
Continuously communicate with stakeholders about the progress and outcomes of the data quality plan.

Who needs hmis data quality plan?

01
Any organization or agency that collects and manages HMIS data needs a data quality plan.
02
This includes homeless service providers, government agencies, non-profit organizations, and research institutions.
03
A data quality plan ensures that the collected data is accurate, complete, and reliable, which is essential for making informed decisions and providing effective services.
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The HMIS data quality plan is a strategic document that outlines how an organization will ensure the accuracy, completeness, and integrity of the data collected in the Homeless Management Information System (HMIS). It provides guidelines for data collection, management, and reporting to enhance the reliability of the information.
Organizations that receive funding from the U.S. Department of Housing and Urban Development (HUD) or those that participate in HMIS are required to file a data quality plan. This includes Continuums of Care (CoCs) and service providers that collect and maintain data in HMIS.
To fill out the HMIS data quality plan, organizations should review the HMIS standards, assess their current data practices, set specific data quality goals, and define procedures for data collection and review. The plan should also outline staff training, timelines for data audits, and a protocol for ongoing data quality evaluation.
The purpose of the HMIS data quality plan is to ensure that the data collected is reliable and useful for tracking homelessness, evaluating programs, and meeting federal reporting requirements. It aims to promote effective decision-making for service providers and policymakers.
The HMIS data quality plan must report information such as data collection methods, staff training strategies, established benchmarks for data quality, processes for identifying and correcting data errors, and timelines for regular audits and assessments.
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