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Continue LogoutMisperceptions and unconscious bias can lead hiring teams to inadvertently turn away strong candidates for health care roles. The organization
Mercy Health is a regional health ministry of Trinity Health comprised of five hospital campuses and over 800 hospital beds that implemented standardized hiring screenings in 2010.
Identify key skills and competencies for entry-level jobs, then use standardized tests and objective screening questions to limit implicit biases and ensure consistency during recruiting.
Since standardizing screenings, Mercy has improved the quality of hire (reduced first-year turnover), and also increased the number of non-white hires by 20 percentage points, from 18% to 38%. The initiative also helped reduce time-to-fill for open positions.
Mercy Health has seen remarkable results since moving to their evidence-based selection screening process. They reduced first-year turnover, which suggests their process is identifying candidates who are a better fit for the organization. Interestingly, the process is actually faster than the previous process, noted by a decreased time-to-fill for open roles. Ultimately, the organization is hiring more diverse staff than it was initially. Leaders at Mercy Health attribute the increase in diversity to the more evidence-based hiring process, which helps limit the effect of unconscious bias in hiring decisions.
Mercy Health is a five-hospital regional health care system in Western Michigan, with over 800 beds. The remainder of this publication details their approach to implementing standardized screening to diversify their talent pipelines.
The hiring and onboarding protocol at Mercy Health involves three key components.
Mercy Health partnered with a local consulting firm, Metrics Reporting, Inc., to analyze the skills and competencies needed for their open roles. Instead of analyzing every single role across the organization, the team grouped roles into job families based on job characteristics defined by O*NET—the Department of Labor’s publicly available database of knowledge, skills, abilities, and work activities. Twenty-two O*NET job families covered 95% of Mercy Health's employees.

They then isolated the key skills and competencies for each job family. Based on O*NET’s Generalized Activities of Work (GWAs), they identified job-specific competencies for each of the 22 job families, and industry-specific competencies which span across all job families. They mapped foundational competencies, like listening or critical thinking, to occupational competencies to determine the impact of various foundational competencies on job performance for each role.

In addition to employing evidenced-based skills assessments, the team designed a series of standardized interviewing guides for recruiters and hiring managers, which helps to ensure a consistent candidates interview experience.

Scores on the assessments outlined in Step 2 are banded and combined to provide the recruiters with a five-star rating scale that indicates the overall fit of a candidate for the job family requirements. Hiring teams can use results from the assessments to inform decisions about hiring and onboarding.

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