Author Interviews, Health Care Systems / 06.06.2016
Pegged Software Uses Big Data To Improve Diversification in Health Care Hiring
MedicalResearch.com Interview with:
Myra Norton
President and COO of Pegged Software
MedicalResearch.com editor’s note: As part of an ongoing series on changes in the health care landscape, we interviewed Ms. Myra Norton, President and COO of Pegged Software. Pegged Software uses an advanced "analytics engine to selecting job candidates based on the actual determinants of high performance", specifically in the health care field. Ms. Norton has a special interest in gender and hospital hiring practices.
MedicalResearch.com: Given that women earn 78 cents to the dollar in regards to men, can big data improve this pay inequity? If so, how does this happen?
Ms. Norton: Big data and predictive analytics alone will not solve the problem of pay inequality. What these tools can do is illuminate talent in a way that removes the biases that undermine equality across gender, ethnicity, socio-economic status and other dimensions. For example, predictive analytics allows organizations to identify candidates with the highest likelihood of improving patient experience, being retained, remaining an engaged employee, lowering thirty day readmissions, and positively impacting other organizational outcomes.
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