Clinical Analytics

Storage, Management, and Analysis in the Health Data Lifecycle

October 3, 2023 - 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, storage, management, analysis, visualization, interpretation, and disposal — for their analytics initiatives to succeed. This is the second...

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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...

Clinicians May Be Unprepared for Widespread CDS Algorithm Integration

by Shania Kennedy

In a perspective article recently published in the New England Journal of Medicine, researchers from the University of Maryland School of Medicine (UMSOM) and Beth Israel Deaconess Medical Center...

Mayo Clinic Platform Expands Distributed Data Network, Partnerships

by Shania Kennedy

Mayo Clinic Platform announced an expansion to its distributed data network, Mayo Clinic Platform_Connect, through new global partnerships with Hospital Israelita Albert Einstein in Brazil, Sheba...

Novel Technique Uses Clinical Data to Predict Disease Risk

by Mark Melchionna

Published in the journal Artificial Intelligence in Medicine, new study findings describe how researchers from Children’s Hospital of Philadelphia (CHOP) and Drexel University used a new...

Machine-Learning Algorithm Helps Monitor Movement Patterns in Infants

by Mark Melchionna

After receiving a grant from the National Science Foundation, a group of researchers from Dell Children’s Medical Center of Central Texas created a machine-learning (ML) algorithm to track the...

More Legal Clarification Needed For Clinical Algorithm Development, Use

by Shania Kennedy

Researchers explored the intersection of clinical algorithms, anti-discrimination laws, and medical device regulation in a JAMA viewpoint published this month, arguing that recent directives from the...

AI Education Needed to Prepare Medical Students for Clinical Practice

by Shania Kennedy

In a recent commentary published in Cell Reports Medicine, University of Michigan researchers argued that the lack of education on healthcare artificial intelligence (AI) in medical school leaves...

Partnership Led to the Launch of a Healthcare Innovation Studio

by Mark Melchionna

Built upon high levels of experience in developing artificial intelligence (AI) solutions, Ardent Health and SwitchPoint have sustained a successful two-year collaboration to create a healthcare...

Model Predicts Optimal Number of Embryos Needed for IVF, ARTs

by Shania Kennedy

A study published in JAMA Network Open earlier this month details the development of a prediction model designed to estimate the optimal number of immature eggs, or oocytes, to attempt to fertilize...

More Guidance Needed to Curb Discrimination by Clinical Algorithm Use

by Shania Kennedy

In a recent viewpoint published in JAMA, researchers explored the challenges of curbing discrimination by a clinical algorithm, arguing that the US Department of Health and Human Services’ (HHS)...

Retraining Improves Performance of ICU Predictive Analytics Model

by Shania Kennedy

In a study published in Critical Care Medicine, researchers found that retraining and recalibration of a machine learning (ML)-based clinical decision support tool to predict readmission or death...

Deep-Learning Model Assists Researchers in Obtaining Useable EHR Data

by Mark Melchionna

With the goal of identifying a more efficient method of deciphering clinical notes, researchers from MIT described how a deep-learning model helped clean up her data, leading to information extraction...

Value of Intraoperative Data Unclear in Mortality Risk Prediction Models

by Shania Kennedy

A new study published in JAMA Network Open found that adding continuous intraoperative data to routinely collected perioperative data used by machine learning (ML)-based mortality prediction models...

UPMC Data Collection, Management Partnership Aims to Advance Patient Care

by Shania Kennedy

Pittsburgh-based UPMC Enterprises, the innovation, commercialization, and venture capital arm of UPMC, has launched a partnership and licensing agreement with data management company Clearsense, which...

Leveraging Data Analytics, Clinical Intelligence to Bolster Perioperative Care

by Shania Kennedy

Healthcare organizations are continually looking for ways to improve efficiency and optimize workflows without burdening staff or patients. However, with staffing and resource shortages plaguing health systems since the beginning of the...

4 Health Systems Join Provider-Created Data Collective to Improve Care

by Shania Kennedy

Provider-created data company Truveta announced that four health systems — WellSpan Health, Centura Health, MetroHealth, and Virtua Health — have joined its collective, which aims to...

FL Health System Adopts Cloud to Enhance Population Health Analytics

by Shania Kennedy

Baptist Health South Florida is set to implement Innovaccer’s Health Cloud platform to enhance population health analytics, provider engagement, and care management across its health...

Illinois Health System Implements AI-Based Sepsis Surveillance Tool

by Shania Kennedy

Illinois-based Blessing Health System has integrated an artificial intelligence (AI)-based sepsis surveillance tool into its clinical workflows, enabling the health system to identify patients with...

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