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Articles related to "survey"


Black Americans see a health-care system infected by racism, new poll shows

  • A new nationwide poll by The Undefeated and the Kaiser Family Foundation (KFF) found that 7 in 10 African Americans believe that people are treated unfairly based on race or ethnicity when they seek medical care.
  • As demonstrators have taken to the streets across the country to protest police violence and systemic racism, the nation’s attention has been directed to the stark disparities that continue to separate Black and white people in nearly every walk of American life.
  • Black Americans were more likely than white people to cite specific negative encounters with the health care system, including feeling that providers didn’t believe they were telling the truth, being refused a treatment or test they thought was necessary, and being denied pain medication.
  • In 2002, the Institute of Medicine’s groundbreaking report, Unequal Treatment: Confronting Racial and Ethnic Disparities in Health Care, found higher rates of diseases, including diabetes, heart disease, hypertension and HIV, among Black and other people of color.

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PII. The Great Taboo of Data Science

  • Professionals who work with data come under a lot of scrutiny because of PII.
  • PII data came from Human Resources, usually requiring approvals from at least one higher level of management.
  • Most of the PII data I analyzed came from individuals in the same organization I worked in, though I did do a few analyses for outside organizations.
  • I also routinely deleted log in details, telephone numbers, and all but one of the multiple versions of name and email address that might be in a data set, mostly because they were an extraneous nuisance.
  • My analyses that involved PII covered a range of business issues involving staff, both individually and in groups.
  • One time during a slow period over the end-of-year holidays I decided to have some fun and calculated the zodiac signs for the staff from the birth dates, then I conducted the same analyses of staff characteristics and preferences that I had previously completed.

save | comments | report | share on


PII. The Great Taboo of Data Science

  • Professionals who work with data come under a lot of scrutiny because of PII.
  • PII data came from Human Resources, usually requiring approvals from at least one higher level of management.
  • Most of the PII data I analyzed came from individuals in the same organization I worked in, though I did do a few analyses for outside organizations.
  • I also routinely deleted log in details, telephone numbers, and all but one of the multiple versions of name and email address that might be in a data set, mostly because they were an extraneous nuisance.
  • My analyses that involved PII covered a range of business issues involving staff, both individually and in groups.
  • One time during a slow period over the end-of-year holidays I decided to have some fun and calculated the zodiac signs for the staff from the birth dates, then I conducted the same analyses of staff characteristics and preferences that I had previously completed.

save | comments | report | share on


PII. The Great Taboo of Data Science

  • Professionals who work with data come under a lot of scrutiny because of PII.
  • PII data came from Human Resources, usually requiring approvals from at least one higher level of management.
  • Most of the PII data I analyzed came from individuals in the same organization I worked in, though I did do a few analyses for outside organizations.
  • I also routinely deleted log in details, telephone numbers, and all but one of the multiple versions of name and email address that might be in a data set, mostly because they were an extraneous nuisance.
  • My analyses that involved PII covered a range of business issues involving staff, both individually and in groups.
  • One time during a slow period over the end-of-year holidays I decided to have some fun and calculated the zodiac signs for the staff from the birth dates, then I conducted the same analyses of staff characteristics and preferences that I had previously completed.

save | comments | report | share on