Interactive dashboards as a research and visualisation tool
This use case is highly relevant within the scope of the HDI Council as it exemplifies the council’s mission to foster data-driven approaches and enhance healthcare outcomes through effective data utilisation and technological innovation. The H. Pylori Registry’s comprehensive dataset and the state-of-the-art dashboards developed by Stratejai align with the HDI Council’s goals of accelerating data-sharing standards and improving the usage of advanced analytics and AI in healthcare. By facilitating real-time data analysis and ensuring data privacy through anonymization protocols, this use case embodies the council’s commitment to promoting best practices in data usage and harmonization across healthcare systems. Additionally, the focus on reducing the time required to generate evidence for clinical guideline updates reflects the HDI Council’s objective to support rapid advancements in healthcare research and policy, ultimately contributing to improved patient outcomes and more effective treatment strategies on a global scale.
Deaths from cancer worldwide are estimated 13 million deaths in 2030. Gastric cancer is one of the top five tumours in cancer mortality worldwide. In most western countries, gastric cancer is diagnosed at advanced stages, without curative options and a median life expectancy of twelve months. Chronic inflammation of the gastric mucosa with the Helicobacter Pylori bacterium is one of the main steps on the pathway towards gastric cancer. The H. Pylori Registry collects data about the diagnosis, efficacy and safety of eradication therapies and provides recommendations to clinicians across Europe on most effective pharmacological strategies at a local level.
Stratejai’s analytics team has crafted state-of-the-art dashboards, revolutionizing data analysis for the researchers of the H. Pylori Registry. The dataset is currently composed of 72,000 cases with a yearly inclusion rate of approximately 10.000 cases and encompasses more than 300 variables related to patient’s anamnesis, demographics, H. pylori diagnostics, treatment schemes (previous lines, drug doses and length), therapeutical compliance and tolerance, and effectiveness of treatment. The Registry collects data about the management of H. pylori infection by European gastroenterologists allowing to identify the room for improvement of the clinical practice at a local level; and therefore, both improving treatment strategies and guiding health authorities and stakeholders in the preparation of policies and actions to benefit the health assistance to their populations. A streamlined data harmonization enables real-time bulk uploads and ensures not only real-time analysis but data privacy through anonymization protocols.
The dashboards are not merely a visualisation tool, but they are a fully equipped operational tool for scientific research able to complement and enhance results from other statistical software, increase productivity and quality of outputs.
The dashboards’ most notable impact is the immense timesaving on data analysis, translating to rapid advancements in H. Pylori treatment research. With the visual representations at their fingertips, researchers can access and synthesize data for scientific manuscripts more efficiently than ever.
Currently, it takes up to 2 years to generate enough evidence on treatment effectiveness to support shifts and updates of clinical guidelines for the H. Pylori treatment at national or EU level. With the introduction of the dashboards, the timespan is expected to be significantly reduced, thanks to faster data ingestion and data analysis powered by some machine learning and artificial intelligence techniques facilitating a more effective data transformation and visualisation.
By acting on the efficacy of H. Pylori treatments, we aim to reduce the incidence of gastric cancer cases. The new operational tool is meant to streamline the research process on effective H. Pylori treatments thus reducing the timeframe to achieve actionable insights.
The development of this tool is part of the project AIDA (https://www.aidaeuproject.org/), aiming at developing an AI assistant to support clinicians in detecting gastric lesions.