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Listening In (with Permission...) and Catalyst for Payment Reform에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Listening In (with Permission...) and Catalyst for Payment Reform 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.
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Episode 103: Dr. Irene Dankwa-Mullan on why every employer needs a health equity strategy

13:19
 
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Manage episode 302274767 series 1602067
Listening In (with Permission...) and Catalyst for Payment Reform에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Listening In (with Permission...) and Catalyst for Payment Reform 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.
Suzanne Delbanco speaks with Dr. Irene Dankwa-Mullan, Chief Health Equity Officer at IBM Watson Health and Deputy Chief Health Officer within the Center for AI, Research & Evaluation. As an industry physician and scientist working at the intersection of AI, health equity, and health care, Dr. Dankwa-Mullan speaks to best practices for employers interested in measuring and addressing health inequities being experienced by those in their health benefits program, building on a Health Affairs article that she co-authored in December of 2020. Dr. Dankwa-Mullan cites definitions pioneered by Dr. Paula Bravemen for understanding what health equity and health disparities signify in the context of health care benefits. Health equity calls on stakeholders to focus on the unfair differences in health experienced by social groups based on the varying degrees of social advantages and disadvantages conferred to these groups, often across socially constructed racial and ethnic groupings. Diving deeper, Dr. Dankwa-Mullan highlights the lack of a uniform approach to collecting race and ethnicity data for use in addressing disparities. Amidst the lack of standardization and other challenges, the most important best practice is to have patients and/or plan members self-identify their race, ethnicity, primary language, and other cultural attributes that are important to their identity. Self-identification avoids inaccurate and incomplete categorizations. As employers and other stakeholders know all too well, health care benefits are a costly line item in any organization’s budget. But inequitable health care adds even more costs. Dr. Dankwa-Mullan offers the following rationales for why employers should collect and measure health statistics by race and ethnicity. 1. To ensure that the employer’s investment is reaching the full covered population in an equitable manner 2. To discover opportunities to improve population health 3. To demonstrate an organizational commitment to health equity Altogether, Dr. Irene Dankwa-Mullan highlights the need for employers and their business associates – including TPAs, consultants, and other partners - to acknowledge that health inequities exist and use their role as plan sponsors and benefits administrators to address them through comprehensive, data-driven, health equity strategies.
  continue reading

128 에피소드

Artwork
icon공유
 
Manage episode 302274767 series 1602067
Listening In (with Permission...) and Catalyst for Payment Reform에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Listening In (with Permission...) and Catalyst for Payment Reform 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.
Suzanne Delbanco speaks with Dr. Irene Dankwa-Mullan, Chief Health Equity Officer at IBM Watson Health and Deputy Chief Health Officer within the Center for AI, Research & Evaluation. As an industry physician and scientist working at the intersection of AI, health equity, and health care, Dr. Dankwa-Mullan speaks to best practices for employers interested in measuring and addressing health inequities being experienced by those in their health benefits program, building on a Health Affairs article that she co-authored in December of 2020. Dr. Dankwa-Mullan cites definitions pioneered by Dr. Paula Bravemen for understanding what health equity and health disparities signify in the context of health care benefits. Health equity calls on stakeholders to focus on the unfair differences in health experienced by social groups based on the varying degrees of social advantages and disadvantages conferred to these groups, often across socially constructed racial and ethnic groupings. Diving deeper, Dr. Dankwa-Mullan highlights the lack of a uniform approach to collecting race and ethnicity data for use in addressing disparities. Amidst the lack of standardization and other challenges, the most important best practice is to have patients and/or plan members self-identify their race, ethnicity, primary language, and other cultural attributes that are important to their identity. Self-identification avoids inaccurate and incomplete categorizations. As employers and other stakeholders know all too well, health care benefits are a costly line item in any organization’s budget. But inequitable health care adds even more costs. Dr. Dankwa-Mullan offers the following rationales for why employers should collect and measure health statistics by race and ethnicity. 1. To ensure that the employer’s investment is reaching the full covered population in an equitable manner 2. To discover opportunities to improve population health 3. To demonstrate an organizational commitment to health equity Altogether, Dr. Irene Dankwa-Mullan highlights the need for employers and their business associates – including TPAs, consultants, and other partners - to acknowledge that health inequities exist and use their role as plan sponsors and benefits administrators to address them through comprehensive, data-driven, health equity strategies.
  continue reading

128 에피소드

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