AI at the Point of Care Team
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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 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 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
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 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:
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.
