Data Integrity

Top 10 Challenges of Big Data Analytics in Healthcare

March 6, 2024 - Big data analytics is a major undertaking for the healthcare industry.  Providers who have barely come to grips with putting data into their electronic health records (EHRs) are now tasked with pulling actionable insights out of them – and applying those learnings to complicated initiatives that directly impact reimbursement. For...


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Explaining the Basics of Blockchain Technology in Healthcare

by Shania Kennedy

Like artificial intelligence (AI), machine learning (ML), robotics, and virtual reality (VR), blockchain has been hyped across sectors, including healthcare. But navigating the hype and assessing the potential value of blockchain remains a...

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...

Data Analytics Reveals Significant Drop in Cancer Screening in 2020

by Erin McNemar, MPA

In 2020, many patients delayed care due to the COVID-19 pandemic. Despite the vaccine rollout and cases declining from last year, data analytics indicates that significant decreases in CT imaging for...

Ethical Artificial Intelligence Standards To Improve Patient Outcomes

by Erin McNemar, MPA

As providers continue to target improved patient outcomes, more organizations are utilizing artificial intelligence, data analytics, and machine learning. However, organizations should follow ethical standards to ensure positive results...

Data Analytics Connects COVID-19 Outcomes to Ethnicity, Socioeconomics

by Erin McNemar, MPA

University of California researchers used patient data analytics to determine if race and ethnicity-based COVID-19 outcomes disparities are associated with socioeconomic characteristics. Since the...

Using Machine Learning To Make Better Medical Decisions

by Erin McNemar, MPA

While artificial intelligence has become essential in advancing medical research, scientists have yet to work out all the technology’s flaws. A University of Texas at Arlington computer scientist...

Data Analytics Identifies Health Disparities In Pregnancy Outcomes

by Erin McNemar, MPA

While pregnancy outcomes among women with systemic lupus erythematosus (SLE) have improved over time, data analytics indicates that racial and ethnic minority patients are still disproportionately...

Data Analytics Promotes Patient Blood Management Programs

by Erin McNemar, MPA

A Mayo Clinic study using data analytics indicates that hospitals can reduce unnecessary blood transfusions and costs by implementing patient blood management programs. According to the findings, blood...

Data Analysis Reveals Risks of Prolonged Continuous Kidney Therapy

by Erin McNemar, MPA

Mayo Clinic researchers analyzing patient records found that individuals with acute kidney injury receiving continuous renal replacement therapy (CRRT) once are likely to require the therapy again,...

Early Breast Cancer Screenings Reduce Mortality, Health Disparities

by Erin McNemar, MPA

According to analyses performed by the Cancer Intervention and Surveillance Modeling Network (CISNET), having Black women begin mammography screenings every other year starting at the age of 40 could...

Cerner, Epic Saw Deepest Healthcare Data Analytics Adoption in 2021

by Erin McNemar, MPA

In their recent performance report, Data and Analytics Platforms 2021, KLAS Research evaluated vendors with broad analytics offerings and allowed them to identify their deepest platform...

Filling Gaps in Race, Ethnicity Data Critical for Health Equity

by Jessica Kent

Filling gaps in race and ethnicity data will help support and promote health equity, according to a commentary written by Anne-Marie J. Audet, MD, senior medical officer at United Hospital Fund...

COVID-19 Data Visualizations Shared on Twitter May Lack Reliability

by Jessica Kent

The majority of COVID-19 data visualizations shared by average Twitter users contained one of five errors that reduced their accuracy or reliability, according to a study published in Informatics. For...

How Teamwork Fuels Award Winning Health Information Management

by Jessica Kent

At the core of any meaningful healthcare intervention is medical data. A patient’s health history, prescription information, and demographic data are the building blocks of quality care delivery,...

5 Steps for Planning a Healthcare Artificial Intelligence Project

by Jennifer Bresnick

Artificial intelligence and machine learning are quickly overhauling the processes of researching, purchasing, and implemented IT tools in the healthcare industry.  With new breakthroughs announced almost every day and thousands of...