Data Analyst Population Health
: Job Details :


Data Analyst Population Health

CommonSpirit Health

Location: Omaha,NE, USA

Date: 2024-11-05T07:49:52Z

Job Description:

Overview:

CommonSpirit Health was formed by the alignment of Catholic Health Initiatives (CHI) and Dignity Health. With more than 700 care sites across the U.S. from clinics and hospitals to home-based care and virtual care services CommonSpirit is accessible to nearly one out of every four U.S. residents. Our world needs compassion like never before. Our communities need caring and our families need protection. With our combined resources CommonSpirit is committed to building healthy communities advocating for those who are poor and vulnerable and innovating how and where healing can happen both inside our hospitals and out in the community.

As an integral member of CHI Health, the Data Analyst Population Health supports successful execution of project implementations that involve data interchanges between systems and external data sources in pursuit of designing, tracking and evaluating population health improvement initiatives. This role supports social care integration programs and may work directly both with internal/ external CommonSpirit resources, including CHI Health Partners, the Creighton Population Health Institute and vendor(s) supporting Population Health Technology tools.

This role will advise on required inputs into population health technology tools in a way that facilitates reporting needs for downstream stakeholders. This role will also serve as a resource for social care integration program end users to ensure the Population Health Technology tools are utilized and working effectively as intended. Will serve as the liaison for the staff members to coordinate issue resolution and workflows to ensure successful utilization of technology tools.

In addition, the Data Analyst Population Health will assist as requested in gathering information from data sources to support ad-hoc data analytics, as well as assisting in the compilation and reconciliation of standard ongoing social care programs monthly reporting. Preferred qualifications include a Masters degree in Computer Science, Business or Healthcare Administration or related field. Formal education in programming languages (SQL, etc.) desired. Formal training or hands on experience in EPIC Clarity desired.

Responsibilities:

Data Analyst for Population Health

**Must Have EHR and Healthcare Experience**

**NOT A REMOTE POSITION**

  • Structure the data capture (in the EHR) and reporting (data elements).
  • Furnishes routine and ad hoc data analysis and reporting.
  • Coordinates and analyzes data feeding for accuracy and consults with other employees and vendors/payers as needed.
  • Coordinates and analyzes data outputs for accuracy and quality.
  • Makes recommendations to leadership on opportunities for improvement of data quality. Implement change efforts related to data quality as directed by leadership by interacting with subject matter experts supporting the various data sources (EMRs, payers and vendors).
  • Researches best practices for data structure, reporting and analytics involving health and social care integration.
  • Consults with leadership regarding project priorities, timelines and assignments.
  • Maintains detailed knowledge applications, systems and programs.
  • Manually, automated when possible, aggregates and standardizes data from disparate data systems as needed to support data analysis reporting that must be done outside of existing systems.
  • Builds new reports needed for grant reporting.
  • Maintains confidentiality of information obtained from database and hospital sources.
  • Qualifications:

    Bachelor's degree in Computer Science, Business or Healthcare Administration, or a related field required. At leaast Two years health care or data analytics experience.

    • Demonstrated proficiency in database applications, Microsoft Access and Microsoft Excel.
    • Working knowledge of SQL or other query language applications.
    • Working knowledge of EMR Systems and their data structure.

    #LI-CHI

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