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Contenuto fornito da Ringmaster Conversational Marketing and Ryan Sullivan. Tutti i contenuti dei podcast, inclusi episodi, grafica e descrizioni dei podcast, vengono caricati e forniti direttamente da Ringmaster Conversational Marketing and Ryan Sullivan o dal partner della piattaforma podcast. Se ritieni che qualcuno stia utilizzando la tua opera protetta da copyright senza la tua autorizzazione, puoi seguire la procedura descritta qui https://it.player.fm/legal.
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Making Data-Driven Healthcare Decisions - Jason Jones - Making Better Decisions - Episode #34

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Contenuto fornito da Ringmaster Conversational Marketing and Ryan Sullivan. Tutti i contenuti dei podcast, inclusi episodi, grafica e descrizioni dei podcast, vengono caricati e forniti direttamente da Ringmaster Conversational Marketing and Ryan Sullivan o dal partner della piattaforma podcast. Se ritieni che qualcuno stia utilizzando la tua opera protetta da copyright senza la tua autorizzazione, puoi seguire la procedura descritta qui https://it.player.fm/legal.

In this episode of the Making Better Decisions podcast, Ryan Sullivan speaks with Jason Jones, the Chief Analytics and Data Science Officer at Health Catalyst. With nearly 30 years of healthcare data analytics experience, Jason offers valuable insights into the challenges and solutions for using data to make better decisions. He emphasizes the common pitfalls humans face when interpreting data and presents known methods to improve accuracy and consistency in decision-making. The discussion also covers the psychology of decision-making, the complexities of healthcare, and strategies for applying data-driven insights more effectively.

Key Takeaways:

  • Embrace Human Limitations: Acknowledge that humans are not naturally adept at drawing accurate conclusions from data without assistance. Implement tools and frameworks that can help mitigate common interpretation errors.
  • Adopt Statistical Process Control: Utilize statistical process control (SPC) charts to identify outliers and persistent changes in performance.
  • Integrate Advanced Tools in BI Platforms: Embed advanced analytics techniques such as automated change point detection and forecasting into standard BI tools like Power BI, Tableau, and ClickSense to enhance data-driven decision-making.
  • Create a Culture of Revisiting Decisions: Establish a process for regularly revisiting and evaluating strategic and policy decisions.
  • Leverage Behavioral Economics: Use behavioral nudges to align people’s actions with their best interests. This can include simple tactics such as auto-enrollment for beneficial programs or highlighting social norms to encourage better compliance.

Quote of the Show:

  • “As human beings, we will make predictable errors in interpretation and drawing conclusions. So that's thing one is we just need to know that; thing two is we can fix it.” - Jason Jones

Links:

Ways to Tune In:

  continue reading

51 episodi

Artwork
iconCondividi
 
Manage episode 454938962 series 3566389
Contenuto fornito da Ringmaster Conversational Marketing and Ryan Sullivan. Tutti i contenuti dei podcast, inclusi episodi, grafica e descrizioni dei podcast, vengono caricati e forniti direttamente da Ringmaster Conversational Marketing and Ryan Sullivan o dal partner della piattaforma podcast. Se ritieni che qualcuno stia utilizzando la tua opera protetta da copyright senza la tua autorizzazione, puoi seguire la procedura descritta qui https://it.player.fm/legal.

In this episode of the Making Better Decisions podcast, Ryan Sullivan speaks with Jason Jones, the Chief Analytics and Data Science Officer at Health Catalyst. With nearly 30 years of healthcare data analytics experience, Jason offers valuable insights into the challenges and solutions for using data to make better decisions. He emphasizes the common pitfalls humans face when interpreting data and presents known methods to improve accuracy and consistency in decision-making. The discussion also covers the psychology of decision-making, the complexities of healthcare, and strategies for applying data-driven insights more effectively.

Key Takeaways:

  • Embrace Human Limitations: Acknowledge that humans are not naturally adept at drawing accurate conclusions from data without assistance. Implement tools and frameworks that can help mitigate common interpretation errors.
  • Adopt Statistical Process Control: Utilize statistical process control (SPC) charts to identify outliers and persistent changes in performance.
  • Integrate Advanced Tools in BI Platforms: Embed advanced analytics techniques such as automated change point detection and forecasting into standard BI tools like Power BI, Tableau, and ClickSense to enhance data-driven decision-making.
  • Create a Culture of Revisiting Decisions: Establish a process for regularly revisiting and evaluating strategic and policy decisions.
  • Leverage Behavioral Economics: Use behavioral nudges to align people’s actions with their best interests. This can include simple tactics such as auto-enrollment for beneficial programs or highlighting social norms to encourage better compliance.

Quote of the Show:

  • “As human beings, we will make predictable errors in interpretation and drawing conclusions. So that's thing one is we just need to know that; thing two is we can fix it.” - Jason Jones

Links:

Ways to Tune In:

  continue reading

51 episodi

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