Streamline Healthcare AI Initiatives with InterSystems

Healthcare providers are looking to artificial intelligence (AI) and machine learning (ML) to improve care, streamline processes and workflows, and increase insights. AI has the potential to transform healthcare, but data management and integration challenges can impede AI development efforts, stall healthcare AI projects, and hamper AI investment returns.

Many AI-powered applications leverage data from diverse sources such as EHR systems, smart medical devices, hospital scheduling and billing systems, and public health databases. Data redundancies, inconsistencies, and gaps can impact data quality and integrity, and impair healthcare AI initiatives. Whether you are building an AI-driven healthcare application or deploying one, data that is accessible, reliable, and accurate is critical to success. Click here to access article.