Data Quality

Data-Focused Strategy May Hinder Generative AI Deployment in Healthcare

January 31, 2024 - Insights from Deloitte’s 2024 Health Care Generative AI Outlook Survey indicate that healthcare executives’ narrow focus on data could create blind spots that could prevent organizations from successfully leveraging generative artificial intelligence (AI). The report surveyed 60 executives across the healthcare industry to learn more...


More Articles

Phone Data in Public Health Efforts May Magnify Health Inequities

by Shania Kennedy

Researchers at the Pennsylvania State University (Penn State) have revealed that mobile phone data increasingly used in public health efforts may underrepresent vulnerable populations and magnify...

Partnership to Support National Gastroenterology-Focused Clinical Registry

by Shania Kennedy

The GI Quality Improvement Consortium, Inc. (GIQuIC), a joint collaboration of the American College of Gastroenterology (ACG) and American Society of Gastrointestinal Endoscopy (ASGE), has launched a...

Survey Finds Most Healthcare Orgs Struggle to Collect, Use SDOH Data

by Shania Kennedy

A white paper published last week by the American Health Information Management Association (AHIMA) shows that a majority of surveyed healthcare organizations are collecting social determinants of...

HHS Awards $90M to Health Centers to Boost Health Equity Via Data Modernization

by Shania Kennedy

The US Department of Health and Human Services (HHS) awarded approximately $90 million in American Rescue Plan funding to nearly 1,400 community health centers as part of an ongoing effort to advance...

Decentralized AI Connects Globally Distributed, Poor-Quality Medical Data

by Shania Kennedy

A new study published in Scientific Reports shows that a federated learning algorithm designed to train artificial intelligence (AI) on globally distributed, decentralized, and poor-quality medical...

Experts Call for Real-Time, Comprehensive Data to Address Opioid Crisis

by Shania Kennedy

Researchers argue that current issues around opioid overdose data prevent public health officials from getting a clear picture of the opioid crisis, leading them to fight the epidemic...

How to Improve Data Normalization in Healthcare

by Shania Kennedy

Data normalization refers to the process of standardizing data to reduce ambiguity and make the data useable across systems. In the context of healthcare, health information is normalized to promote data sharing and analytics across the...

Assessing AI, Data Use Key Priorities of Stanford’s First Data Chief

by Anuja Vaidya

As new modes of data analysis evolve and become increasingly integrated into clinical care, healthcare organizations are looking to get ahead of the curve and solidify their approach to data science. Stanford Health Care in California is...

Why UCI Researchers Created a Framework for Analyzing Wearables Data

by Anuja Vaidya

Wearables — electronic devices that can be worn as accessories — are gaining steam in healthcare, with Deloitte predicting that 320 million consumer health and wellness wearable devices will ship worldwide in 2022. These...

Data Analytics Reveals Mental Health Treatment Disparities

by Erin McNemar, MPA

A combined data analysis of results from 149 studies indicated that treatment rates for major depressive disorder remain low worldwide, particularly for those living in low-and lower-middle-income...

Data Analytics Points to Cardiovascular Risk After COVID-19

by Erin McNemar, MPA

Data analytics indicated that individuals who have had COVID-19 are at increased risk of developing cardiovascular complications, from the first month to a year after the infection, according to...

Data Analysis Reveals Genes Linked to Rare Respiratory Disease

by Erin McNemar, MPA

According to a large data analysis by the Indiana University School of Medicine, the rare respiratory disease called primary ciliary dyskinesia (PCD) is more common than previously thought. The data...

De-Identified Data to Improve Health Equity, Research 

by Erin McNemar, MPA

Truveta and LexisNexis Risk Solutions announced a strategic partnership that will use de-identified data to improve the quality of all health research and enable new insights on health...

IBM Agrees to Sale of Watson Data, Analytics Assets to Francisco Partners  

by Erin McNemar, MPA

Today, IBM and Francisco Partners announced a definitive agreement under which Francisco Partners will acquire data and analytics assets from its Watson Health business, multiple outlets...

Data Shows Population Health Disparities in Cancer Screenings 

by Erin McNemar, MPA

Data analytics from the University of Texas Health Science Center (UTHealth Houston) indicate a decline in cervical cancer screenings. According to researchers, screening rates are the lowest...

High-Quality Data Essential to Achieving Whole-Person Patient Care

by Erin McNemar, MPA

 During the second annual Payer and Provider Virtual Summit, experts emphasize the role of high-quality data to achieve whole-person care.  Whole person care is the concept that the best way to...

Data Analysis Model to Help Reveal Potential Infertility Treatments 

by Erin McNemar, MPA

A data analysis model created by University of Minnesota researchers could identify potential treatments for women facing infertility issues.   Researchers examined data...

Improving Prostate Cancer Screening Accessibility, Population Health 

by Erin McNemar, MPA

To improve population health, Cornell University researchers have developed a highly portable and rapid prostate cancer screening kit. The kit is intended to indicate early warning signs to...