国产传媒

Digital Patient Podcast

TDP 199: Mount Sinai鈥檚 CDTO Robbie Freeman: Enabling Clinician Led AI Innovation, Embedding Forward-Deployed Engineers into Clinical Workflows, and Empowering Nurses to Lead Ethical AI

November 6, 2025
By
Seamless

Subscribe on: | | | | |

On this episode of The Digital Patient, Dr. Joshua Liu, Co-founder & CEO of 国产传媒, and colleague, Alan Sardana, chat with Robbie Freeman, Chief Digital Transformation Officer at Mount Sinai Health System, about "Enabling Clinician-Led AI Innovation, Embedding Forward-Deployed Engineers into Clinical Workflows, Empowering Nurses to Lead Ethical AI, and more..." Click the play button to listen or read the show notes below.

Audio:

Guest(s):

  • Robbie Freeman, Chief Digital Transformation Officer at Mount Sinai Health System
  • Dr. Joshua Liu, Co-founder & CEO at 国产传媒

Episode 199 - Show Notes:

[00:00:07] Episode preview

[00:04:35] How a passion for human physiology and a community service internship in a heart transplant unit inspired Mr. Freeman to pursue nursing.

[00:06:07] How frustrations with early hybrid paper-electronic systems led Mr. Freeman to volunteer for QI projects, eventually creating a hospital role focused on technology, operations, and quality.

[00:07:26] How technology and quality improvement are inseparable, emphasizing small tests of change, frontline involvement, and embedding technologists with clinical teams to drive effective transformation.

[00:10:18] Why embedding data scientists and IT team members directly into clinical environments to observe real workflows, a 鈥渇orward deployment鈥 approach ensures solutions meet real-world needs.

[00:11:55] The importance of testing digital solutions at a small scale before wide rollout, using clear success criteria and incremental growth to ensure sustainability and avoid scaling inefficiencies.

[00:13:49] Mount Sinai鈥檚 鈥渆xperience-led鈥 model of digital transformation, focusing on improving patient, care team, and workforce experiences through initiatives like ambient documentation and a new employee digital front door.

[00:16:09] How patient feedback revealed uncertainty about where to seek care, leading to Mount Sinai鈥檚 鈥淐heck Symptoms and Get Care鈥 AI tool, which guides patients to appropriate care options based on symptom input.

[00:17:50] Mr. Freeman explains Mount Sinai鈥檚 multimodal feedback system鈥攆ocus groups, surveys, product metrics, and asynchronous feedback鈥攖o ensure digital initiatives align with patient and staff priorities.

[00:19:36] The importance of making it easy for patients to access care through chat and voice interfaces, envisioning future integrations between AI tools and Sinai鈥檚 digital care systems.

[00:24:01] How a nurse-led idea sparked the creation of PIP-AI, a pressure injury prevention model that uses EMR data to predict risk automatically, outperforming traditional tools like the Braden scale.

[00:28:27] Emphasizing how change management is 95% of the work in implementing AI, with peer champions leading education and continuous adoption monitoring through dashboards.

[00:30:52] Why projects only move forward when they have strong champions and operational readiness, supported by a network of digital ambassadors to drive peer adoption.

[00:32:26] The value of diverse leadership鈥攃linical and technical backgrounds working together鈥攖o ensure feasible, adoptable, and sustainable digital transformations.

[00:35:50] How new opportunities are evaluated through three lenses: clinical workflow fit, technical soundness, and business sustainability.

[00:36:30] On precision nursing, why AI will augment鈥攏ot replace鈥攏urses, reducing administrative burden and improving quality through tools like ambient documentation and shift summaries.

[00:39:05] How nurses, as the most trusted professionals, play a crucial role in explaining technology to patients and ensuring the safe, ethical use of AI in care.

[00:41:41] Reflecting on the growing normalization of voice AI interactions and imagines how future generations will experience increasingly seamless human-AI collaboration.

[00:42:45] Mount Sinai鈥檚 AI assurance framework, which includes pre-deployment evaluations, bias testing across populations, and fairness layers to mitigate disparities before clinical use.

Fast 5 Lightning Round:

  1. What is your favorite book or book you鈥檝e gifted the most?
    鈥淩ewired: The McKinsey Guide to Digital and AI Transformation鈥
  2. If you could instantly master any skill, what would it be?
    Storytelling.
  3. Would you rather have Super strength, super speed, or the ability to read people鈥檚 minds?
    Mind reading
  4. What is something in healthcare you believe that others might find insane?
    Misaligned incentives
  5. What is the last movie or TV show you saw?
    Season 2 of Wednesday

The Digital Patient has been recognized as Feedspot's . Thank you to our listeners for making this happen!

TDP 199: Mount Sinai鈥檚 CDTO Robbie Freeman: Enabling Clinician Led AI Innovation, Embedding Forward-Deployed Engineers into Clinical Workflows, and Empowering Nurses to Lead Ethical AI

Posted by:
Seamless
on
November 6, 2025

Subscribe on: | | | | |

On this episode of The Digital Patient, Dr. Joshua Liu, Co-founder & CEO of 国产传媒, and colleague, Alan Sardana, chat with Robbie Freeman, Chief Digital Transformation Officer at Mount Sinai Health System, about "Enabling Clinician-Led AI Innovation, Embedding Forward-Deployed Engineers into Clinical Workflows, Empowering Nurses to Lead Ethical AI, and more..." Click the play button to listen or read the show notes below.

Audio:

Guest(s):

  • Robbie Freeman, Chief Digital Transformation Officer at Mount Sinai Health System
  • Dr. Joshua Liu, Co-founder & CEO at 国产传媒

Episode 199 - Show Notes:

[00:00:07] Episode preview

[00:04:35] How a passion for human physiology and a community service internship in a heart transplant unit inspired Mr. Freeman to pursue nursing.

[00:06:07] How frustrations with early hybrid paper-electronic systems led Mr. Freeman to volunteer for QI projects, eventually creating a hospital role focused on technology, operations, and quality.

[00:07:26] How technology and quality improvement are inseparable, emphasizing small tests of change, frontline involvement, and embedding technologists with clinical teams to drive effective transformation.

[00:10:18] Why embedding data scientists and IT team members directly into clinical environments to observe real workflows, a 鈥渇orward deployment鈥 approach ensures solutions meet real-world needs.

[00:11:55] The importance of testing digital solutions at a small scale before wide rollout, using clear success criteria and incremental growth to ensure sustainability and avoid scaling inefficiencies.

[00:13:49] Mount Sinai鈥檚 鈥渆xperience-led鈥 model of digital transformation, focusing on improving patient, care team, and workforce experiences through initiatives like ambient documentation and a new employee digital front door.

[00:16:09] How patient feedback revealed uncertainty about where to seek care, leading to Mount Sinai鈥檚 鈥淐heck Symptoms and Get Care鈥 AI tool, which guides patients to appropriate care options based on symptom input.

[00:17:50] Mr. Freeman explains Mount Sinai鈥檚 multimodal feedback system鈥攆ocus groups, surveys, product metrics, and asynchronous feedback鈥攖o ensure digital initiatives align with patient and staff priorities.

[00:19:36] The importance of making it easy for patients to access care through chat and voice interfaces, envisioning future integrations between AI tools and Sinai鈥檚 digital care systems.

[00:24:01] How a nurse-led idea sparked the creation of PIP-AI, a pressure injury prevention model that uses EMR data to predict risk automatically, outperforming traditional tools like the Braden scale.

[00:28:27] Emphasizing how change management is 95% of the work in implementing AI, with peer champions leading education and continuous adoption monitoring through dashboards.

[00:30:52] Why projects only move forward when they have strong champions and operational readiness, supported by a network of digital ambassadors to drive peer adoption.

[00:32:26] The value of diverse leadership鈥攃linical and technical backgrounds working together鈥攖o ensure feasible, adoptable, and sustainable digital transformations.

[00:35:50] How new opportunities are evaluated through three lenses: clinical workflow fit, technical soundness, and business sustainability.

[00:36:30] On precision nursing, why AI will augment鈥攏ot replace鈥攏urses, reducing administrative burden and improving quality through tools like ambient documentation and shift summaries.

[00:39:05] How nurses, as the most trusted professionals, play a crucial role in explaining technology to patients and ensuring the safe, ethical use of AI in care.

[00:41:41] Reflecting on the growing normalization of voice AI interactions and imagines how future generations will experience increasingly seamless human-AI collaboration.

[00:42:45] Mount Sinai鈥檚 AI assurance framework, which includes pre-deployment evaluations, bias testing across populations, and fairness layers to mitigate disparities before clinical use.

Fast 5 Lightning Round:

  1. What is your favorite book or book you鈥檝e gifted the most?
    鈥淩ewired: The McKinsey Guide to Digital and AI Transformation鈥
  2. If you could instantly master any skill, what would it be?
    Storytelling.
  3. Would you rather have Super strength, super speed, or the ability to read people鈥檚 minds?
    Mind reading
  4. What is something in healthcare you believe that others might find insane?
    Misaligned incentives
  5. What is the last movie or TV show you saw?
    Season 2 of Wednesday

The Digital Patient has been recognized as Feedspot's . Thank you to our listeners for making this happen!

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