For decades, traditional data warehousing has been the backbone of healthcare analytics. These systems offered a structured ...

In the age of technology, healthcare is experiencing a digital transformation powered by advanced data analytics and predictive modeling. Hospitals and medical institutions are increasingly relying on ...

In the age of innovation, predictive analytics and machine learning are reshaping the future of healthcare, enabling medical professionals to make data-driven decisions with unprecedented accuracy.

AI can be a transformation agent in bridging the urban-rural healthcare divide, but the success depends upon addressing the ...

Ann Phillips, senior director of regulatory and standards at PurpleLab, joins the podcast to discuss evolving price ...

Software makes that easier. Learning more about the best analytics tools for health care revenue can empower teams with actionable insights to evaluate current workflows. Health care teams benefit ...

High costs and inefficiency are two major problems the modern healthcare industry has been grappling with—until the advent of big data.Data analytics can help reduce healthcare costs and improve ...

US-based healthcare analytics company Health Catalyst has introduced Ignite Spark, a data and analytics solution for ...

AI-driven healthcare offers unparalleled opportunities for improving patient care, but it also introduces new cybersecurity risks.

Laura Bobolts, PharmD, BCOP, senior vice president of clinical strategy and growth at OncoHealth, shares how health care leaders are advancing value-based care through improved data strategies, ...

Dublin, March 31, 2025 (GLOBE NEWSWIRE) -- The "Healthcare Analytics Market by Type (Predictive, Diagnostic), Application (Claim, RCM, Fraud, Precision Health, RWE ...

Girish Ganachari’s contributions have redefined real-time data engineering in healthcare, setting new standards for efficiency, accuracy, and interoperability.