Data Analytics

The Clinical Promise and Ethical Pitfalls of Electronic Phenotyping

by Shania Kennedy

As information technology (IT) methods for disease surveillance, predictive analytics, and clinical decision support become more advanced, big data mining will be crucial to ensure tools use large, high-quality datasets. Data mining can...

NIH Award to Establish Data Integration Hub for Common Fund Programs

by Shania Kennedy

Researchers at the University of California San Diego and the Icahn School of Medicine at Mount Sinai received an $8.5 million award to establish a data integration hub to accelerate the work of...

“All of Us” Program Launches Center for Linkage and Acquisition of Data

by Shania Kennedy

The National Institutes of Health’s All of Us Research Program awarded $30 million to the University of Colorado Anschutz Medical Campus (CU Anschutz) and its partners to establish the new Center...

AHIMA Launches Social Determinants of Health Data Initiative

by Shania Kennedy

The American Health Information Management Association (AHIMA) announced its Data for Better Health initiative, which aims to revolutionize healthcare through the use of social determinants of health...

Generative Artificial Intelligence Collaborative Launched at HLTH 2023

by Shania Kennedy

A group of over 30 founding partners launched the Vision, Alignment, Learning, Implementation, and Dissemination of Validated Generative AI in Healthcare (VALID AI) collaborative this week at HLTH to...

Visualizing, Interpreting, and Disposing of Healthcare Analytics Data

by Shania Kennedy

The success of a healthcare analytics project is predicated on how well project stakeholders navigate the data lifecycle, which consists of data generation, collection, processing, storage, management, analysis, visualization,...

Storage, Management, and Analysis in the Health Data Lifecycle

by Shania Kennedy

The data lifecycle drives data analytics projects across industries, and healthcare is no exception. Healthcare stakeholders need to have a firm grasp on each of the steps in the cycle — data generation, collection, processing,...

The Healthcare Data Cycle: Generation, Collection, and Processing

by Shania Kennedy

As data analytics become more necessary to advance population and public health, healthcare stakeholders may find themselves increasingly working on analytics projects. The outcomes of these projects depend on many factors, but healthcare...

ML Helps Identify Variations in Individualized Normal Temperature Ranges

by Shania Kennedy

Machine learning (ML) may help define personalized temperature norms and improve the clinical utility of oral temperature measurements, according to a study published this month in JAMA Internal...

Investigating the Potential of Confidential Computing in Healthcare

by Shania Kennedy

Healthcare data analytics requires some of the highest data privacy and protection measures across the industry, making implementing privacy-preserving technologies a top priority. Doing so requires health systems to investigate, assess,...

Data Analytics in Healthcare: Defining the Most Common Terms

by Shania Kennedy

Big data analytics play an increasingly significant role in improving care quality, patient outcomes, operational efficiency, and cost reduction for healthcare stakeholders. But navigating the healthcare data analytics landscape requires...

Data Utilization, Investment Lagging Among Hospitals and Health Systems

by Shania Kennedy

A survey conducted by the Healthcare Information and Management Systems Society (HIMSS) and healthcare data analytics company Arcadia about the current state of healthcare analytics platforms...

Breaking Down the 4 Types of Healthcare Big Data Analytics

by Shania Kennedy

Big data analytics has become a hot topic as healthcare systems have transitioned to EHRs and begun pursuing digital transformation. Patients generate massive amounts of data throughout their care journeys that could be used to improve...

Top Data Analytics Tools for Population Health Management

by Shania Kennedy

Effective population health management requires collecting, processing, and analyzing large amounts of patient data, making data analytics tools key for any population health initiative. Population health is often conceptualized based on...

How Elevance Health, MVP Health Care Are Leveraging Data Analytics

by Shania Kennedy

Payers rely on accurate, high-quality data to make health insurance processes more efficient and support improved patient outcomes. However, each beneficiary generates a plethora of data points throughout their care journeys that payers...

Gun Violence Archive Data May Bolster Community Firearm Violence Research

by Shania Kennedy

A study published recently in JAMA Network Open shows that the Gun Violence Archive (GVA), an independent data collection group, may be a limited, but valid source of data for researchers investigating...

Dartmouth Launches Center for Artificial Intelligence, Precision Medicine

by Shania Kennedy

Dartmouth launched its Center for Precision Health and Artificial Intelligence (CPHAI) this week, which is set to advance interdisciplinary research into how artificial intelligence (AI) and biomedical...

Google, Mayo Clinic Launch Generative Artificial Intelligence Collab

by Shania Kennedy

Mayo Clinic and Google Cloud today launched a new collaboration to transform healthcare with generative artificial intelligence (AI) by enhancing clinical workflows, assisting researchers and...

Informatics Tool Accurately Detects Antibiotic Allergy Adverse Events

by Shania Kennedy

Researchers have developed a health informatics tool capable of detecting antibiotic allergy adverse events in near real-time, which may help provide clinicians with feedback about the harms of...

Federal Grant to Bolster Neonatal Research Consortium

by Shania Kennedy

The University of New Mexico (UNM) Health Sciences won a renewal of a federal grant to participate in the Neonatal Research Network, a data-sharing consortium focused on improving care for high-risk...