How to Effectively Implement AI in the Healthcare Arena

At this point in 2023, most health IT professionals fully understand the overall benefits and risks of artificial intelligence (AI). However, while there has been plenty of press coverage around this, there has not been too much information about how to safely and effectively embrace AI.  

To meet this need, Harvard Business Review (HBR) recently published an article that provides this guidance, and proposes that healthcare innovators must build trust in AI with three critical constituencies: providers, patients, and the public.

Here are some the three key takeaways from the article:

  1. Change the Narrative About the Purpose of AI: Instead of designing the new technologies to substitute for human decision-making, innovators should aim towards new tools that complement and augment the expertise of providers.

  2. Pay Careful Attention to How AI Applications Are Implemented: Prior to implementation, AI applications – like all new diagnostic and therapeutic innovations – should demonstrably improve outcomes and provide better experiences for patients and providers.

  3. Assure Patients and The Public That AI Applications Serve Their Needs Without Threatening Their Rights: To address these concerns innovators should look to emerging frameworks such as the European Commission’s Ethics Guidelines for Trustworthy AI or the Biden Administration’s Blueprint for an AI Bill of Rights.

We recently published an article about how to ethically embrace AI and highlighted how the World Health Organization (WHO) called for caution to be exercised in using AI-generated large language model tools (LLMs) to protect and promote human well-being, human safety and autonomy, and preserve public health.

For example, Amazon, Anthropic, Google, Inflection, Meta, Microsoft, and OpenAI recently signed onto a new set of voluntary commitments around AI safety, cybersecurity, and public trust. 

Mirroring the Biden Administration’s focus on AI safety, these new commitments include developing pre-release security testing for AI models and forming insider threat safeguards and cybersecurity investments focused on unreleased and proprietary model weights.

When used safely and ethically, AI has the ability to truly transform healthcare delivery.  We shall see how much change happens in this arena over the next twelve months. However, AI has fully landed and we should look how to understand and best embrace it.

RosettaHealth can assist with any health information challenges you might have, book a free consultation with one of our interoperability experts.

RosettaHealth