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Episode 95: Thi Montalvo on the challenges employers face in using their health care purchasing data

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Contenido proporcionado por Listening In (with Permission...) and Catalyst for Payment Reform. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente Listening In (with Permission...) and Catalyst for Payment Reform o su socio de plataforma de podcast. Si cree que alguien está utilizando su trabajo protegido por derechos de autor sin su permiso, puede seguir el proceso descrito aquí https://es.player.fm/legal.
Suzanne Delbanco talks with Thi Montalvo, Health Analytics Practice Leader – Health and Benefits for Willis Towers Watson. In her role, Thi helps employers and other health care purchasers make data-driven decisions for their health benefits strategy. While she’s seen many successful use-cases over her nine years specializing in health analytics, she’s also seen firsthand the many problems that are hindering the acquisition and use of data for optimizing employer-sponsored health benefits. From onerous legal agreements limiting the use of the data, to incomplete data fields, to lack of visibility into necessary information like diagnosis codes or provider specialty information, employers and other health care purchasers are struggling to put their own benefits data to use, despite being the ones who are footing the bill. Learn how the proliferation of condition-specific benefit programs (often referred to as “point solutions”) has changed the data landscape in the employer-sponsored health care market, and what hoops benefit consulting firms like Willis Towers Watson have to jump through to perform the analyses that their clients need. Thi Montalvo and Suzanne also discuss what’s necessary to improve data sharing moving forward, and how the secure and reliable flow of aggregated, de-identified health data is an important piece of the evolving journey to improve price and quality transparency in the commercial health care sector. “Are there opportunities to steer to a quality provider or facility down the street? If we can’t do that with the data, then we’re not serving the interest of our employers and their employees and getting them the health care that they need.” – Thi Montavlo, Willis Towers Watson
  continue reading

133 episodios

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iconCompartir
 
Manage episode 294392095 series 1602067
Contenido proporcionado por Listening In (with Permission...) and Catalyst for Payment Reform. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente Listening In (with Permission...) and Catalyst for Payment Reform o su socio de plataforma de podcast. Si cree que alguien está utilizando su trabajo protegido por derechos de autor sin su permiso, puede seguir el proceso descrito aquí https://es.player.fm/legal.
Suzanne Delbanco talks with Thi Montalvo, Health Analytics Practice Leader – Health and Benefits for Willis Towers Watson. In her role, Thi helps employers and other health care purchasers make data-driven decisions for their health benefits strategy. While she’s seen many successful use-cases over her nine years specializing in health analytics, she’s also seen firsthand the many problems that are hindering the acquisition and use of data for optimizing employer-sponsored health benefits. From onerous legal agreements limiting the use of the data, to incomplete data fields, to lack of visibility into necessary information like diagnosis codes or provider specialty information, employers and other health care purchasers are struggling to put their own benefits data to use, despite being the ones who are footing the bill. Learn how the proliferation of condition-specific benefit programs (often referred to as “point solutions”) has changed the data landscape in the employer-sponsored health care market, and what hoops benefit consulting firms like Willis Towers Watson have to jump through to perform the analyses that their clients need. Thi Montalvo and Suzanne also discuss what’s necessary to improve data sharing moving forward, and how the secure and reliable flow of aggregated, de-identified health data is an important piece of the evolving journey to improve price and quality transparency in the commercial health care sector. “Are there opportunities to steer to a quality provider or facility down the street? If we can’t do that with the data, then we’re not serving the interest of our employers and their employees and getting them the health care that they need.” – Thi Montavlo, Willis Towers Watson
  continue reading

133 episodios

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