AI at the Point of Care Team

Artificial Intelligence – Advancing the Pharmaceutical and Medical Device Industries

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The AI at the Point of Care Team (AI@POC) is designed for physicians, healthcare system members, and innovators seeking to leverage Artificial Intelligence (AI) to improve patient care, clinical workflow, system operations, and reduce unnecessary costs.


Establish a reliable digital framework for sharing knowledge and insights between both clinical and technical experts through collaboration and active use case discussions.


Develop successful practices and recommendations, addressing concerns related to the development, implementation, and usage of AI tools.


Create a reliable mechanism to assess the trustworthiness of potential AI products, establishing a well-informed adoption across the healthcare environment. (Note: trustworthiness is a measure of the products integrity, transparency, explicability, ethicality, etc.)


Foster communication across an open-access network of Providers, Implementors and Innovators to encourage responsible AI adoption at the Point of Care.

Problem Statement

AI has the potential, to forever, alter the operating paradigm of high performing healthcare systems at all levels and across all domains. The safe and effective development, implementation and ongoing use of AI tools and resources requires participation of all key stakeholders to:

Improve patient safety and care

Increase effectiveness of clinical workflow and healthcare services

Improve system operations

Reduce unnecessary costs

TheAI@POC Team will develop outcomes to address the above challenges. Emphasis will be placed on creating deliverables that provide maximum ROI. (Note: ROI is defined as Relationships, Outcomes, and Improvements.)


The the first year (September 2021 – October 2022) goal for the AI@POC Team will focus on:

Establish a reliable digital framework for sharing knowledge and insights between both clinical and technical experts through collaboration and active use case discussions.

Deliverables will include:

Adoption Matrix Model by Use case, easing the Adoption curve

Implementation Matrix Model by Use case, leading to an Implementation Playbook

Levels of Engagement

Core Members

Committed to maintaining goals and the active stewardship of deliverables


Contributors and developers of deliverables; based on areas of interest

General Group

Knowledgeable/informed; provide input for subgroup deliverables

Joining the Team

You have an opportunity to work with your peers to improve patient care, clinical workflow and system operations by leveraging the possibilities of Augmented Intelligence.

The AI@POC Team operates virtually from September through August each year, and is led by a structured leadership team towards predefined goals and deliverables.

The team leaders present the outcome of the work during the AI Summit that occurs each August. You will be recognized for your contributions at the Summit and in team publications.

Meeting frequency and duration is based upon what is needed to support progress against the deliverables. Team members volunteer to work on specific aspects based on their expertise.

If you are interested in joining the AI@POC Working Team, please note:

  • There is an annual participation fee of $100 per team to support Healthcare Products Collaborative’s ability to lead these initiatives.
  • It is expected that you participate in the standing meetings (schedule is determined by each team).
  • Plan on a time commitment of 5 hours per month, but this may vary.

Team Leaders

Steve Frigon

Sr. Clinical Systems Analyst, The Christ Hospital Health Network

Steve Frigon is a Senior Clinical Systems Analyst at The Christ Hospital in Cincinnati, Ohio. Specializing in Application Development, Data Integration and Data Management solutions in the Pharmaceutical and Healthcare industries for the past 21 years. In this position, Steve develops various technology strategies and adaptation techniques in the areas of interoperability, web services and Digital Health. His focus in the AI framework is on explicability, validation and adoption that stimulates the development of trust in Patients and Physicians alike.

Prior to joining The Christ Hospital, Steve was a Data Integration Consultant with HC Tech, Inc. and a Data Integration Manager at Mercy Health.

Timothy Hsu

Director of Health Technology Initiatives, AFDO/RAPS Healthcare Products Collaborative