Schedule

- Comparison of Johns Hopkins ACGs and the CIHI population grouper for assessing the morbidity and health care utilization of the population of Ontario, Canada Lyn Sibley, Yin Li, Jasmin Kantarevic & Richard Glazier - Developing and improving predictive models of the risk of health utilisation and future healthcare expenditures: National recalibrations and new markers Stephen Sutch, Klaus Lemke, Harriet Martyn & Lea Alonso - Population health segmentation and stratification: Applications of patient need groups (PNGs). Lea Alonso, Renee Towne, Stephen Sutch, Harriet Martyn, James Barrett & Paul Molyneux - Impact of the pop‐grouper reference period on the results of clinical profile segmentation using Québec’s clinical‐administrative data. Elhadji Malick Ndao, Mamadou Diop, Mike Benigeri, Jean-Luc Kaboré & Isabelle Samson - Application of the Canadian grouping methodology to assess primary care service use by the population: A planning support tool. Hélène Plé, Mamadou Diop, Claire Imbaud, Mike Benigeri, Philippe Lachance & Isabelle Samson

- Australian clinical coding artificial intelligence (AI) adoption guideline Sallyanne Wissmann - Computer‐assisted coding and documentation in a large hospital in Milan, Italy Daniele Alberio, Valentina Errico, Ferdinando Cananzi, Stefano Aliberti & Ornella Leoncini - Developing an autonomous coding solution: Canada, UK and Australia - results across three ICD versions Cheryl McCullagh - Beamtree - Preparing coders and leadership for AI‐driven medical coding Maarten Lambrecht & Karen Pien - The use of EffectiveCAN with confidence levels for automated ICD‐10‐CM/PCS coding of French hospital stay records Peter Heirman, Maarten Lambrecht, Philippe Kolh & Ashwin Ittoo

- Application of case‐mix methodology for population‐based physician workforce planning in Ontario, Canada Li Jiang, Yin Li, Thomas Fruehauf, George Marusic, Jasmin Kantarevic & Lyn Sibley - Funding policy considerations reflecting on projected patterns of illness in Ontario Imtiaz Daniel, Laura Rosella, Adalsteinn Brown, Emmalin Buajitti & Monica Alexandra - Implementing a new methodology to forecast the hospital activity in France until 2027 Alexis Gravel & Nathalie Rigollot - Looking to the future: Projecting future hospital activity - Approaches, challenges and results Kevin Ratcliffe - Service‐Related Groups in Federal hospital planning - Opportunities and challenges Harald Kuhlmann, Michael Wilke & Markus Rathmayer

- Advancements in coding, classification systems, and data quality in Canada Alisson Allen - Beamtree & Jennifer Connolly - Edge Health - The need for a national training program in patient‐level costing Hefin Jones, Abdulrahman Alshehri & Maram Alrowisan - Stakeholder responses to the results of the national cost analysis Martina Zorko Kodelja & Karmen Grom Kenk - Strategy for highlighting unit costs to clinicians Sandrine Dupont & Philippe Lachapelle

- Development an internationally aligned casemix system based on WHO Family of International Classifications Robert Jakob, Eva Krpelanova, Martti Virtanen & Kristiina Kahur - The need for change: Too many health systems are data rich, information poor (DRIP) Mike Norton & Laia Buigues Pastor - Financial evaluation of groupings for DRG 301 Hip joint replacement André Guigui, Camille Francoeur, John Fletcher & Pierre-Olivier Sylvestre

- Case study: A hospital in Melbourne, Australia - Benefits of moving from retrospective to concurrent query/coding process Stephanie Cantin‐Smith & Kathy Wilton - Developing coding guidance for elective care surgical hubs in Ireland Jacqui Curley & Brian McCarthy - Development of a coding audit methodology framework for the private health sector in the Kingdom of Saudi Arabia Susan Young, Wail Yar & Fawaz Alomran - A partnership approach for developing national safety, quality, and population health insights from coded data Stephen Badham - Beamtree & Maimunah Alsuhaibany - CNHI

- Stumbling upon the black gorilla: A lucky break in overcoming healthcare financing barriers with AI Jana Wahl & Kevin Ratcliffe - Using case mix aggregation to understand travel burden for hospital care in Canada Kim Nuernberger and Steve Atkinson - Towards curated learning: Analyzing casemix NordDRG system expert system using machine learning tools Tapio Pitkäranta - Transforming patient care: Automated mapping of hospital patient episodes using process mining with sequential probability analysis Amanda Ling, A Z M Ehtesham Chowdhury, Pammy Yeoh, Brendon McMullen & John Blakey