• S2 Ep 10: FemTech and female health at work, with Nandhini Gopal

  • 2022/12/18
  • 再生時間： 27 分
  • ポッドキャスト

S2 Ep 10: FemTech and female health at work, with Nandhini Gopal

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  • How can digitalization and technology be better leveraged in healthcare, especially for women? How can employers support women’s health? What kind of work policies and support systems are needed in professional environments? The final episode in Season 2 of “The Digitalization & Diversity Podcast” features my very unfiltered conversation with Nandhini Gopal, a top 500 FemTech personality of 2022. In this episode, we open the dialogue on female health and how to address the topic in the context of professional environments. We talk about how women have learnt or been conditioned to silently navigate female health issues. This could include, for example a pregnancy, a pregnancy loss such as a miscarriage or an abortion, a fertility or hormonal treatment, menopause, or a chronic issue related to female health. When two women engineers talk,  you can expect facts and figures (and yes, some numbers are shocking). In our conversation, we dig deeper into the data gaps in hea
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あらすじ・解説

How can digitalization and technology be better leveraged in healthcare, especially for women? How can employers support women’s health? What kind of work policies and support systems are needed in professional environments? The final episode in Season 2 of “The Digitalization & Diversity Podcast” features my very unfiltered conversation with Nandhini Gopal, a top 500 FemTech personality of 2022. In this episode, we open the dialogue on female health and how to address the topic in the context of professional environments. We talk about how women have learnt or been conditioned to silently navigate female health issues. This could include, for example a pregnancy, a pregnancy loss such as a miscarriage or an abortion, a fertility or hormonal treatment, menopause, or a chronic issue related to female health. When two women engineers talk,  you can expect facts and figures (and yes, some numbers are shocking). In our conversation, we dig deeper into the data gaps in hea
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