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Catholic Social Services (CSS) of Anchorage, Alaska’s mission is to compassionately serve those in need, strengthen individuals and families, and advocate for the common good. They provide emergency shelter, case management, homeless and supportive family services, and more to individuals experiencing homelessness, refugees and immigrants, families in crisis, and people with disabilities.
As CSS grew, they needed to level up their data management protocols to serve people better, secure more funding, and remain compliant with outside agencies tracking their progress.
Before implementing Bonterra Impact Management, CSS was not electronically documenting their case management work, making it difficult and time consuming to track outcomes. Team members across departments had to track down, collate, cross reference, and rifle through files to build an accurate picture of a participant’s status, progress, and outcomes. Additionally, producing reports to showcase their impact story, meet various compliance requirements, and secure more funding was challenging, often taking staff members hours to produce a single report.
By transitioning to Bonterra Impact Management, CSS can more easily document case information, track the data points they need, and see if a participant meets the requirements for a program. Their data is easy to access, uniform, and accurate, saving staff time and improving service delivery. With a digital solution, CSS implemented staff permissions, ensuring sensitive participant information is secure and their privacy and dignity maintained. Configurable dashboards and features allow CSS to seamlessly track and access the data they need to meet Medicaid, Housing and Urban Development, and Health and Human Services requirements and easily make changes to the data points they are tracking as requirements evolve. Finally, staff are empowered to access accurate, timely information on program impact, community outcomes, and more to tell the story of how CSS is making a difference every day – helping them quickly respond to data inquiries and make data-driven decisions about programming.
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