• In 2014, the Committee released the Analytic Capability Roadmap 1.0 for Human Service Agencies . The Roadmap provides human service agencies with a starting point to define what analytics in human services means. The Roadmap also helps them assess current (analytic) capability and developing an analytic strategy to help meet their organizational objectives and measure outcomes across programs.
    • On June 2, 2014, the Analytic Committee members reviewed the elements of the Roadmap and provided examples of where state & local jurisdictions are on the Analytic Capability Curve. Slides
  • In 2015, the Committee released the 2015 Roadmap to Capacity Building in Analytics, a white paper building upon the Committee's 2014 work. The 2015 Roadmap provides information on: (1) analytical capabilities required for successful analytical efforts, (2) skill sets as well as governance structures and change management processes for such efforts, and (3) practical examples of existing solutions across public and private health and human service sectors. 
  • In 2017, the Committee created a 3-part guide, the Guide to Data Management, Privacy & Confidentiality, and Predictive Analytics. The building blocks of a data sharing strategy are laid out in this Guide, and it includes state and county use cases, case studies, compendia, principles, and much more. This work was created by the National Collaborative Analytics Committee (NCAC), whose membership includes county health and human service (H/HS) directors; health IT coordinators, analysts, and Chief Information Officers (CIO) of state and county H/HS departments; representatives from research and policy centers; and industry partners.

Guide to Data Management, Privacy & Confidentiality, and Predictive Analytics

Full Committee Roster  - We thank everyone who volunteered their time and expertise to help create this body of work.

I. Data Management & Proven Data Governance Practices

This section of the NCAC was charged with (1) the identification of jurisdictions with successful examples of data sharing and management, and (2) the development of practical templates of data governance structure. Here you will find use cases, definitions and graphical representations of various agreements (ex: MOU, MOA, etc.), and a list of barriers to data sharing with proposed mitigation strategies.

II. Privacy & Confidentiality Impact on Data Sharing

This section of the NCAC was charged with identifying or developing practical tools for states/localities to assist in making the legal case for data sharing (and consent). Here you will find a resource compendium of consent agreements and data sharing statutes, and an FAQ and resource collection for data governance.

III. Predictive Analytics & Modeling

This section of the NCAC was charged with developing case studies on current and cross-usage by states/localities of predictive analytics. Here you will find an introduction to predictive analytics, and five case studies from states all along the “analytics curve” – presenting their work and lessons learned.

This Guide is composed of "living documents" that may frequently be updated. If you have any comments, questions, or updates to share, please contact Christina Becker at cbecker@aphsa.org

Webinar Video Recording

Analytics in Human Services: Tools and Perspectives from the Field

Including an overview of APHSA’s National Collaborative Analytics Committee tools

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June 13, 2018

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