Gastroenterology and Artificial Intelligence: 4th Annual Global Artificial Intelligence Summit | August 2022-Institutional Set-Up: Implementing CADe and CADx Colonoscopy into Your Endoscopy Unit

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The document discusses the incorporation of Computer-Aided Detection (CADe) and Computer-Aided Diagnosis (CADx) systems into endoscopy units in hospitals and ambulatory surgery centers. It highlights the importance of these AI tools for improving the detection rate of colorectal neoplasia, potentially reducing healthcare costs and increasing the value of care provided. The financial benefits of supporting subscription or capital expenditures for these systems include an increase in adenoma detection rate (ADR), a shift in billing from screening to therapeutic procedures, increased pathology revenue, and potential CMS add-on payments in the future. Microsimulation modeling studies have shown the cost-effectiveness of AI for screening colonoscopy. The implementation team should involve key stakeholders such as the Chief of GI, Director of Endoscopy, IT representative, and vendor, among others. Technical aspects of implementation include considering the time frame, compatibility of hard wire vs wireless systems, and impact on ancillary equipment. A marketing framework can include press releases, direct patient communication, referral letters, and social media posts to generate awareness. Outcome measures to assess the return on investment include the impact on ADR, procedure time, volume trends, marketing campaign effectiveness, financial outcomes, and polyp/cancer miss rates. Research pathways for continued improvement and future grants are also discussed. In conclusion, incorporating CADe and CADx systems requires a multidisciplinary approach, considering healthcare value, financial benefits, technical aspects, and research opportunities.

Asset Subtitle

Shyam Thakkar, MD

Keywords

Computer-Aided Detection

CADe

Computer-Aided Diagnosis

CADx

endoscopy units

colorectal neoplasia detection

healthcare costs

adenoma detection rate

implementation team

marketing framework