Comprehensive Guide to Patient MDM The healthcare industry is increasingly focusing on patient data management in 2023. By maintaining consistent and accurate patient data, organizations can ensure a steady level of care and mitigate the risk of errors in patient care...
The Role of Data Management in Digital Transformation An astounding 99% of healthcare and life science organizations polled view digital transformation as an essential step in adapting to the challenges of big data and emerging AI technologies. Nevertheless, a mere...
Healthcare Data Models: Uses and Benefits In 2022, major industry developers like Google Cloud and Lifepoint Health announced the impending release of new data engine platforms for healthcare organizations. According to press releases, these tools will improve...
Closing the Gap on the Top Challenges in Healthcare Data Management Due to compliance hurdles and the daunting cost of updating legacy systems, the adoption of new IT solutions in healthcare tends to lag behind the cutting edge. As industries across the globe prepare...
Data Quality Checks: Your Key to Reliable and Accurate Information In today’s world, data is everywhere – from social media to online shopping. Wherever you turn, we are constantly generating and consuming data. With this surplus of data all around us, we need to...
Practice Makes Permanent: Artificial Intelligence (AI) and Data Management Many moons ago, when I first started playing golf, I’d spend hours on the driving range hitting practice balls. My expectation was that if I hit enough balls, I’d eventually improve. One fine...
