Data Analytics

Hospitals and health systems use current and past data from its informatics systems to find trends, draw conclusions and identify the potential for improvement outcomes in patients and populations, and to support business decision-making. In patient care, data analytics can show areas  that need improvement, and bottlenecks to faster and more accurate diagnoses. On the business side, health system data can be leveraged to lower costs, maximize revenue, streamline and improve operations. Data is increasingly being used to look at the larger picture of population health to identify traits that can flag patients that may need additional resources to prevent readmissions. It can also help identify patients at high risk for some diseases that can be contacted about additional screenings for improved preventative care.

Using patient data to predict COVID-19 admissions

“We show for the first time that symptom data can be informative in predicting subsequent regional trends in hospital admissions due to COVID-19," one researcher said. 

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Business analytics help radiology department boost CT use for fragile patients despite COVID disruptions

Sant’Andrea University Hospital in Rome saw overall imaging volumes plummet 21.5% but improved numbers among vulnerable populations using real-time data, experts wrote in European Radiology

This Is Enterprise Imaging

Sponsored by Sectra

First there was PACS: picture archiving and communications systems. Over the last decade, as managing medical imaging has expanded far beyond radiology, enterprise imaging was born. But what is enterprise imaging in its best form?

Sectra PACS was named Best in KLAS in 2022 based on customer feedback.

Hospitals share top health IT vendors to work with in the Best in KLAS 2022 list

KLAS Research's 2022 report covers more than 1,000 health IT informatics solutions focused on EMRs, staffing, revenue cycle management, patient portals, and more.

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Geographic information systems a useful tool for population health planning in radiology

Providers have previously deployed such analytics tools in public health programs, but their use has been scarce in imaging, Johns Hopkins experts wrote in JACR

Psychiatry turns to AI for new help with an old problem

AI is poised to help settle an argument that’s been roiling academic psychiatry for more than a century: Are bipolar disorder and schizophrenia two distinct diagnoses—or points along a single continuum?

Screws tighten on lung cancer with cross-field AI analytics

Deep neural networks are capable of tying oncological findings from genetic testing with those from medical imaging and biopsy analysis to not only validate previously discovered connections among and between the three fields but also uncover new ones.  

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Employer-sponsored healthcare operator beefing up COVID measures with partner’s predictive analytics

A company offering healthcare and wellness services to its clients’ employees is partnering with a neighboring company specialized in predictive data analytics to blunt the impact of COVID-19 on those same employees.