Health data governance
Health data governance involves policies, standards and practices for managing and protecting health-related information. It ensures data quality, privacy and security while facilitating effective data sharing and use. This framework supports ethical and legal compliance, improves patient care, and advances medical research, maintaining trust in the healthcare system.
Top Stories
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21 Oct 2024
Comparing real-world, synthetic and de-identified data
Real-world, synthetic and de-identified data all play a role in healthcare analytics efforts, but knowing which type of data to use is key for success. Continue Reading
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07 Oct 2024
Breaking down the 7 types of health informatics
Health informatics is an ever-growing field aimed at using health data, information technology systems and clinical knowledge to improve patient outcomes. Continue Reading
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05 Aug 2020
COVID-19 Data Reveals Pediatric Racial and Ethnic Disparities
After analyzing COVID-19 data, researchers found that infection rates among pediatric patients reflect the same racial and ethnic disparities seen in adult populations. Continue Reading
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04 Aug 2020
Leveraging Synthetic Data for COVID-19 Research, Collaboration
Researchers at Washington University are using synthetic data to accelerate COVID-19 research and facilitate collaboration among healthcare institutions. Continue Reading
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03 Aug 2020
New Guide Helps Policymakers Use COVID-19 Data to Make Decisions
The guide applies five criteria to seven types of COVID-19 data to support decision-making during the pandemic. Continue Reading
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31 Jul 2020
Healthcare Data Sharing Connects the Dots for COVID-19 and Beyond
The COVID-19 pandemic has pushed healthcare to engage in data sharing and research partnerships, facilitating new strategies that many hope will endure after the crisis subsides. Continue Reading
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29 Jul 2020
County-Level Data Reveals Disparities in Cardiac Death Rates
County-level data showed that disparities in premature cardiac deaths in the US have widened over the past two decades. Continue Reading
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08 Jul 2020
Medicare Beneficiaries’ Race and Ethnicity Data Inaccurate
Medicare beneficiaries’ race and ethnicity data are incomplete and inaccurate in numerous states across the country, a recent analysis found. Continue Reading
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06 Jul 2020
ACR, RSNA Caution FDA Against Autonomous AI in Medical Imaging
In comments submitted to the FDA, the organizations state that autonomous artificial intelligence in medical imaging could bring significant patient safety concerns. Continue Reading
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02 Jul 2020
Data-Driven Partnership to Eliminate Cancer with Computational Models
Three UT System institutions will develop teams that leverage data and computational models to end cancer. Continue Reading
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25 Jun 2020
Over 50% of Leaders Underwhelmed by Population Health Management Tech
A survey revealed that healthcare leaders want analytics and care coordination functionalities embedded in their population health management solutions. Continue Reading
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22 Jun 2020
How Patient Matching, Data Standardization Could Combat COVID-19
Improved patient matching and data standardization could help mitigate the impact of the COVID-19 pandemic. Continue Reading
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17 Jun 2020
ONC Project Aims to Facilitate Real-World Data Access, Exchange
The Coordinated Registry Network for Women’s Health Technology project seeks to address women’s health issues through real-world data access and exchange. Continue Reading
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15 Jun 2020
Critical Considerations Required for COVID-19 Data Analysis
Decision-makers should consider key criteria when analyzing COVID-19 data, including representativeness and time range. Continue Reading
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10 Jun 2020
COVID-19 Deaths Linked to Social Determinants of Health Data
COVID-19 death rates are significantly correlated with individuals’ social determinants of health data, including age, race, and local climate. Continue Reading
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04 Jun 2020
Big Data Model Predicts Rise in Alcohol-Related Liver Disease
Using big data, the model showed that more than one million people in the US could die from alcohol-related liver disease by 2040. Continue Reading
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28 May 2020
Care Access Drives COVID-19 Health Disparities in Black Populations
Black populations across the country are experiencing worse outcomes from COVID-19, and these health disparities are largely due to a lack of care access. Continue Reading
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13 May 2020
Leveraging Internal Data, Analytics for Quality Improvement
Shifting away from consultants and leveraging internal solutions have allowed Southern Illinois Healthcare and Care New England to succeed in quality improvement efforts. Continue Reading
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08 May 2020
New Method Uses Data-Driven Models to Inform COVID-19 Policymaking
A new process harnesses multiple data-driven models to help inform policy decisions for managing the COVID-19 outbreak. Continue Reading
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07 May 2020
Leveraging COVID-19 Data to Eliminate Healthcare Disparities
COVID-19 data can help leaders reduce healthcare disparities in lower-income and underserved communities. Continue Reading
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27 Apr 2020
County-Level Data Shows Racial, Ethnic Disparities in COVID-19 Cases
Data collected at the county level shows that COVID-19 is more prevalent among black and Hispanic populations, revealing significant racial and ethnic disparities in healthcare. Continue Reading
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07 Apr 2020
Predictive Model Offers COVID-19 Guidelines for Healthcare Workers
The predictive model aims to protect operating room workers during the COVID-19 pandemic and conserve personal protective equipment. Continue Reading
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19 Mar 2020
Social Determinants of Health Vital for Assessing Heart Disease Risk
Certain social determinants of health, including food and housing insecurity, are strongly linked to an increased likelihood of heart disease. Continue Reading
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16 Mar 2020
Researchers Uncover Racial Disparities in Brain Cancer Outcomes
Black and Hispanic pediatric patients with brain cancer experienced worse outcomes than their white counterparts, revealing racial disparities in care. Continue Reading
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27 Feb 2020
How Clinical Decision Support Adherence Leads to Better Patient Data
Adhering to clinical decision support tools results in structured, standardized patient data, enabling organizations to improve care practices. Continue Reading
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13 Feb 2020
Poor Data Quality, Weak Algorithms Lead to Patient Matching Issues
Patient matching issues are exacerbated by poor data quality, insufficient algorithms, and a lack of technology. Continue Reading
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05 Feb 2020
Rural Health Disparities Linked to Socioeconomic Status, Care Access
Socioeconomic status, patient care access, and lack of health insurance account for 81.8 percent of the total variance in rural and urban mortality rates. Continue Reading
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03 Feb 2020
Best in KLAS Ranks Top Vendors for Population Health, Analytics
This year’s Best in KLAS report recognizes familiar names for population health management, business intelligence, and analytics. Continue Reading
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16 Jan 2020
AMIA Urges NIH to Revise Proposed Data Management, Sharing Policy
AMIA is calling for NIH to significantly change its data management and sharing policy so that it better leverages data and advances medical research. Continue Reading
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15 Jan 2020
Low-Quality Data Hinders VA’s Efforts to Reduce Care Disparities
The VA has taken steps to eliminate veteran care disparities, but data weaknesses are limiting the agency’s ability to adequately address gaps in health outcomes. Continue Reading
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24 Sep 2019
How Teamwork Fuels Award Winning Health Information Management
Hospital Sisters Health System credits its success with health information management to collaboration and communication. Continue Reading
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18 Feb 2019
Chronic Conditions Account for $8.3B in Avoidable ED Visits
Patients with chronic conditions accounted for a significant number of potentially preventable ED visits, indicating a need for more effective primary care. Continue Reading
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14 Nov 2018
Hard Stops in EHRs, Clinical Decision Support Can Improve Care
The judicious use of hard stops in EHR workflows and clinical decision support systems can improve performance on process measures and lead to better care. Continue Reading
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06 Aug 2018
Using Big Data Analytics for Patient Safety, Hospital Acquired Conditions
Big data analytics can provide valuable insight into avoiding patient safety events and reducing the incidence of hospital acquired conditions. Continue Reading
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23 May 2018
Nurses Play a Critical Role in EHR Optimization, Data Governance
A tiered, collaborative data governance structure that involves nurses as well as physicians can help support meaningful EHR optimization. Continue Reading
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24 Apr 2018
CMS Renames Meaningful Use to Highlight Interoperability Goals
Meaningful use will now be called "Promoting Interoperability" as CMS focuses on increasing health information exchange and patient data access. Continue Reading
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18 Sep 2017
Using Visual Analytics, Big Data Dashboards for Healthcare Insights
Visual analytics and big data dashboards can provide valuable insights to healthcare organizations - if they follow some important guidelines. Continue Reading
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05 Jun 2017
Understanding the Many V’s of Healthcare Big Data Analytics
Volume, velocity, and variety are all vital for healthcare big data analytics, but there are more V-words to think about, too. Continue Reading
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30 May 2017
Data Integrity Strategies for Patient Matching, Identification
Patient matching is a critical safety concern. How can providers boost their data integrity to improve their accurate identification rates? Continue Reading
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27 Jan 2017
Health Information Governance Strategies for Unstructured Data
Information governance becomes particularly important when exploring the use of unstructured data for healthcare analytics. Continue Reading
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05 Dec 2016
Using Business Intelligence, KPIs for Revenue Cycle Management
Insights from business intelligence tools, combined with a strong understanding of key performance indicators, can help to improve healthcare revenue cycle management. Continue Reading
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29 Jul 2016
The Role of Healthcare Data Governance in Big Data Analytics
What does data governance mean to healthcare organizations and why is it so crucial to master before engaging in big data analytics? Continue Reading