Senior Vice President & Chief Accounting Officer, Community Health
Search every verified Jason Johnson interview, podcast appearance, and on-the-record quote — each transcript cross-checked by AI and human review to confirm speaker identity. Jason Johnson, Senior Vice President and Chief Accounting Officer at Community Health, presented in September 2024 on the use of large language models in healthcare, describing a case study from Dana-Farber Cancer Institute. He stated that the institute prohibited direct clinical use of its AI tool outside of controlled studies, citing concerns about regulatory maturity and patient safety. Johnson noted that the institute worked with Microsoft to deploy a HIPAA-compliant model inside its firewall and that after one year of use, ethics and compliance concerns had decreased, with inaccurate output remaining the primary issue. Johnson has also hosted a podcast on water crises in Black communities, discussing the financial burden of bottled water, the difficulty small towns face in accessing federal grant money, and the impact of the Supreme Court's decision on the Clean Water Act. In a 2020 video message as a school superintendent, he addressed challenges related to COVID-19 social distancing requirements and budget constraints, stating that the school district was at high risk of insolvency due to low funding. In a 2011 TEDx talk, he discussed the decline in book reading and proposed integrating social features into digital books to create a more interactive reading experience.
“When chat GPT was released, it opened lots of people's eyes to the potential that AI would have, particularly large language models, in every industry, especially in cancer research and clinical care. This is going to be transformative technology for healthcare, an industry with much inefficiency and opportunity for AI...”
“We were concerned about our clinicians using public tools like ChatGPT and unknowingly violating HIPAA. We don't want them to break the law or accidentally disclose intellectual property by putting research discoveries into public tools.”
“We asked if we could deploy a commercial large language model inside our firewall in a private and secure way that would be HIPAA compliant and affordable for our 6,000 employees, enabling use for PHI, PII, and intellectual property sensitive cases.”
“Working with Microsoft accelerated our project because of their mature data environment and partnership with OpenAI. They understood healthcare constraints and HIPAA requirements, were flexible and supportive, and helped us debug and configure the system.”
“The number one decision we made was to start with governance. We created a generative AI governance committee with broad representation from clinical, operational, business, patients, and providers to think through risks, benefits, compliance, and ethics.”
“We prohibited direct clinical use of the AI tool outside of controlled studies like IRB-approved clinical trials. This was a difficult but necessary decision to protect patients, providers, and ensure regulatory maturity before broad clinical adoption.”
“We embedded support materials inside the AI tool to educate users on generative AI, its risks, prompt engineering strategies, and best practices, because many users did not fully understand the technology or its limitations.”
“After one year of usage, ethics and compliance concerns have decreased significantly due to our acceptable usage policy, and the main remaining concern is inaccurate or false output, known as hallucinations in large language model terminology.”
“We are developing a capability to query our institutional document repositories using a retrieval-augmented generation (RAG) approach, enabling the AI to access indexed documents like OneDrive folders, SharePoint, and emails to provide evidence-backed answers.”
“We have companion AI models running in the background to filter out violent, sexual, harmful content, jailbreaking attempts, and copyrighted text, ensuring compliance and safety. All logs are auditable by designated personnel within our secure Azure environment.”
“I am amazed at how effective a decision this was by the Harris campaign. Like I said, we'll be studying this in 30 years. They really haven't made many stumbles for a campaign that's only been going for 2 weeks.”
“The Harris campaign has to hit 39 to 40% white voters across America in order to win. Tim Walz helps with that. They have to get 65 to 68% turnout amongst African-American women. She can probably bring that to the table.”
“We're going to have a vice president presumably who is boldly proud of hunting, who also is a gun owner, and who as Governor put forth some really rigid and strict gun safety provisions. You can do both, right? You can chew gum and walk.”
“Having to purchase bottled water every day is definitely an added expense but even in a lot of these communities you have that layered expense but you're also paying for the brown water coming through your pipes that you can't use.”
“In Opelousas, Louisiana, the city government has used a practice of disconnecting water lines after two weeks of missed payment, forcing residents to pay 40 to 50 dollars on top of their bills to have their lines reconnected.”
Topic Unlocking the Potential of Large Language Models in Healthcare: A Case Study from Dana-Farber Cancer Institute In this ...
Dr. Jason Johnson is a professor, political analyst and public speaker. Fresh, unflappable, objective, he is known for his ability to break down stories with wit and candor. Johnson is the author the book Political Consultants and Campaigns: One Day to Sell, a tenured professor in the School of Global Journalism & Communication at Morgan State University in Baltimore, Maryland and Contributor at TheGrio.com. Dr. Johnson has extensive public speaking and media background ranging from pop culture to politics. https://drjasonjohnson.com/speaking-e... / drjasonjohnson https://amzn.to/33KUc5n
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