AI at the Point of Care Team

Artificial Intelligence – Advancing the Pharmaceutical and Medical Device Industries

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AI Working Teams > AI @ POC

Goal

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 also reduce unnecessary costs.

01

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

02

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

03

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.)

04

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.)

Deliverables

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

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

Subgroups

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 toward 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.

THE MEMBERSHIP FEE FOR 2022 WILL BE WAIVED FOR EVERYONE AS WE TRANSITION TO MANAGEMENT OF OUR AI WORK TEAM PROGRAMS UNDER AFDO/RAPS. ANY MEMBER WHO PREVIOUSLY PAID A 2022 MEMBERSHIP FEE, WILL RECEIVE A FREE MEMBERSHIP FOR 2023.

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. He has specialized in Application Development, Data Integration, and Data Management solutions in the Pharmaceutical and Healthcare industries for the past 21 years. In this position, Frigon 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, which stimulates the development of trust in patients and physicians alike.

Prior to joining The Christ Hospital, Frigon 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

Before becoming the Director of Health Technology Initiatives at AFDO/RAPS Healthcare Products Collaborative, Timothy Hsu was a member of the AI Initiative’s Core Strategic Team. He’s also spent several years working with the GMLP, AIO, and AI@POC teams in varying capacities under the Xavier Health Artificial Intelligence Initiative.

Hsu has served across the clinical, operational, and administrative spectrums in healthcare systems at pediatric, academic, research, and community hospitals. His roles in healthcare systems have included work in strategy, planning, perioperative, service line, and population health divisions. Hsu was a Product Manager in Clinical Intelligence at Premier Inc., where he was the product owner of Service Line Analytics, Cost Accounting, Patient Analytics, and Clinical Professional Partnerships. He was the market research strategist for healthcare market futures at GBBN Architects.