Validation of the AI-Based Early Reimbursement Planning Search Engine in Main European Countries and the USA

Speaker(s)

Billstein A1, Walzer S2, Vollmer L3, Jost J2, Salaün B4, Colombo GL5, De Graaff R6, Gil S7, Zah V8, Coughlin S9, Valentino MC5, Bruno G10, Di Matteo S10
1MArS Market Access & Pricing Strategy GmbH, Weil am Rhein, BW, Germany, 2MArS Market Access & Pricing Strategy GmbH, Weil am Rhein, Germany, 3MArS Market Access & Pricing Strategy GmbH, Tuebingen, BW, Germany, 4MedConsult, Boulogne-Billancourt, France, 5S.A.V.E. Studi Analisi Valutazioni Economiche, Milan, Italy, 6Seijgraaf BV, Harleem, Non, Netherlands, 7Asgard Consulting, Barcelona, Catalonia, Spain, 8ZRx Outcomes Research Inc., Mississauga, ON, Canada, 9SNJ Consulting, Liverpool, England, UK, 10S.A.V.E. Studi - Health Economics & Outcomes Research, Milano, Italy

Presentation Documents

OBJECTIVES: The reimbursement planning phase consists mainly of three key components: 1) Payer assessment of clinical data 2) Coding and price levels 3) Reimbursement pathway. The aim of the study is to examine whether AI-based search engines can provide reliable data for early reimbursement planning in France, Italy, Germany, Netherlands, Spain, UK, USA. The search was conducted with mAxInsights®, an AI-based search engine.

METHODS: Eight different clinical test cases are defined for the validation. For each country, the same test cases have been analysed in relation to the country-specific codes. In our case the AI-based search engine mAxinsights® takes the codes from the specific test cases in given datafiles and online. The results are compared to the best case results provided by human country experts. Each result is compared with each other and adjusted using the platforms’s various search functions until they approximately match.

RESULTS: The AI-based search engine delivers almost all the codes expected by the country experts after at least three search runs with keywords added for each test case. In seven out of eight test cases, mAxInsights® has a hit rate of 85 to 100%. It also offers additional codes which have not been identified by human experts.

CONCLUSIONS: The validation demonstrates that AI-based search engines like mAxInsights® provide reliable reimbursement-relevant data in the respective countries. In addition, more codes than expected are displayed that could be relevant for the test cases. A process that currently takes up to six months can be completed in 2-5 days. The integration of AI-based reimbursement planning with human expertise has proven to be highly efficient.

Code

HTA84

Topic

Health Technology Assessment, Methodological & Statistical Research, Organizational Practices

Topic Subcategory

Artificial Intelligence, Machine Learning, Predictive Analytics, Industry, Systems & Structure, Value Frameworks & Dossier Format

Disease

Drugs, Medical Devices