Resources:
White Papers

People Matching in Healthcare: Challenges, Impact, and Solutions

While the current state of patient matching is best described as tumultuous, efforts to identify the right path forward are finding a foothold.

AI-Series Part One: The Human Touch

Humans are adept at recognizing the inconsistencies that AI-enabled technologies may overlook, as they lack the ability to make contextual judgments and decisions based on nuanced considerations.

AI-Series Part Two: Caring Algorithms

Trusted health information is only possible if the data in our information systems is accurate, reliable, and complete. Data is inherently dirty, and automation through AI-enabled technologies does not entirely resolve incorrect or incomplete duplicate patient records.

AI-Series Part Three: Prioritize Caring Algorithms and The Human Touch

Healthcare organizations are increasingly turning to artificial intelligence (AI) to assist with cleaning and managing their data. While AI-driven automation can enhance data quality, it does not fully resolve issues related to data integrity.