HealthTech Professionals Get Ready for AI with Smarter Data Insights
Amsterdam, Thursday, 19 June 2025.
A recent KMS Healthcare webinar highlighted the urgent need for AI readiness by 2025, emphasizing structured data use to improve patient outcomes and operational efficiency in the healthtech industry.
The Role of Data Fabric in HealthTech
The recent webinar hosted by KMS Healthcare emphasized the role of data fabric in transitioning from data chaos to AI readiness by 2025. With 72% of AI project failures attributed to poor data quality rather than flawed models, the focus is on leveraging data fabric to orchestrate data across hybrid environments. This method automates real-time data discovery, governance, and delivery, crucial for operational efficiency in healthcare [1].
Innovative Strategies for AI Integration
KMS Healthcare highlighted strategies such as composable analytics, data virtualization, and federation to facilitate rapid insights and improved decision-making in HealthTech. John Jeske, CTO of Advanced Technology Innovation Group at KMS Technology, stressed the importance of moving processing to the data. This approach ensures that people across organizations have access to trustworthy data insights, enhancing outcomes for both patients and providers [1].
KMS Healthcare’s Commitment to AI Readiness
KMS Healthcare is deeply involved in modernizing data architecture within the HealthTech industry. The aim is to support AI-driven innovations that lead to better patient outcomes. Through initiatives that foster strong data foundations, the company underscores the vital transition towards AI readiness, foreseeing that 75% of new analytics projects will be built with a data fabric approach [1].
The Broader Impact on HealthTech
The implementation of smarter data practices in HealthTech is expected to streamline operations and significantly enhance patient care quality. The insights and technologies discussed in the webinar represent a shift towards more informed decision-making processes, utilizing structured data to empower healthcare professionals. The healthtech sector’s push towards digital transformation highlights the critical role of intelligent data application in addressing complex healthcare challenges [1].