Artificial intelligence (AI) is transforming how care is delivered in the home. But as technology evolves, so does the need for thoughtful governance, ethical implementation and strategic adoption. To help care at home organizations navigate these shifts, 小猪视频 recently launched a multi-part webinar series examining the role of AI in modern care delivery, beginning with .
Moderated by 小猪视频 Senior Vice President of Public Policy Deborah Hoyt, the conversation featured insights from 小猪视频 Chief Technology Officer Andrew Olowu and 小猪视频 Chief Operating Officer Tom Codd. Together, they unpacked what providers need to know to implement AI in a way that is secure, scalable and aligned with regulatory standards.
To register for the next webinar in this series, click .
Understanding the Fundamentals of AI
Olowu started the discussion by clarifying the difference between basic and advanced AI tools.
鈥淏asic AI tools are assistive,鈥� he explained. 鈥淭hey help with efficiency but they don鈥檛 optimize over time. Advanced tools are adaptive. They pull data, they continuously learn, and they help predict outcomes and streamline your operations.鈥�
Understanding this distinction is critical, as advanced AI tools position providers to deliver higher-quality care.
Olowu outlined four core capabilities that providers should expect from any AI solution:
- Deep Integration: 鈥淎I tools must be tightly embedded within the EMR or the back-office system,鈥� he said. 鈥淚f it鈥檚 not integrated tightly, it鈥檚 not scalable.鈥�
- Accuracy and Transparency: 鈥淎I is very powerful, but it鈥檚 not infallible,鈥� he said. 鈥淗allucinations are real. Put guardrails in place to ensure that it鈥檚 not fabricating or misinterpreting your data.鈥�
- Scalability: 鈥淎s your organization grows, you want the AI to continue to perform,鈥� he said. 鈥淵ou want it to grow with you, so assess whether that AI can handle more data, more users, more complexity without breaking down or requiring you to completely overhaul it.鈥�
- Adaptability: 鈥淭he best AI systems learn and evolve,鈥� he said. 鈥淭hey don鈥檛 just automate; they optimize. Executives should look for tools that continuously improve outcomes, not just drive efficiency up.鈥�
Managing Risk and Governance
Codd emphasized that AI must be part of every organization鈥檚 enterprise risk management strategy.
鈥淚n January 2023, the National Institute of Standards and Technology (NIST) introduced a ,鈥� he said, breaking down the four key components of the framework: govern, map, measure and manage. These steps help organizations build trust into the design, development and use of AI.
Codd also stressed the importance of having an acceptable use policy that clearly outlines how employees and others can use the organization鈥檚 technology and data.
鈥淎reas that you would usually address in a good acceptable use policy would be your ownership and general use of your technology, security and handling confidential information, types of unacceptable use of systems, [standards for] blogging and social media, email and communications guidelines, and consequences for violation of these policies,鈥� he said.
Ethics and Trust in AI
To further support ethical implementation, Codd encouraged organizations to develop a formal AI ethics statement.
鈥淎 solid AI ethics statement should include the organization鈥檚 approach to AI, where AI is used in its products, principles which are followed when using AI, including privacy by design, how AI models are evaluated, and how AI is governed,鈥� he said.
He recommended the free , which includes a roadmap for AI risk management and top ten priorities for building a trustworthy AI framework.
Practical Strategies for AI Adoption
As the discussion turned toward practical implementation, Olowu shared actionable insights for organizations just beginning their AI journey. He recommended starting small but thinking long-term.
鈥淐hoose the right use cases where the technology is mature enough, the risk to your patient care is low, and there鈥檚 potential for short-term value,鈥� he said. 鈥淎utomating clinical documentation is a great example. It鈥檚 proven. It鈥檚 safe. It delivers immediate time-savings.鈥�
He also emphasized the importance of engaging staff early in the process.
鈥淯se your early adopters and your innovators to bring your late majority and your laggards into the future,鈥� he said. 鈥淵ou have to go after the people who are excited about technology, so your staff really must see AI as a partner, not a replacement.鈥�
Defining success metrics is another key strategy. Olowu encouraged organizations to set clear goals, such as reducing documentation time by 40% or accelerating reimbursement time by 20%, and to use those wins to build momentum.
Finally, he stressed the importance of choosing the right technology partner.
鈥淚f I could leave our audience with one strategic priority, it would be to choose the right technology partner,鈥� Olowu said. 鈥淭he right technology partner should feel like an extension of your team, someone that really helps you grow confidently, scale responsibly, and stay ahead of what鈥檚 next.鈥�
to continue the conversation on responsible AI adoption and use.