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European hospitals launch Microsoft-backed AI network to agree privacy guardrails

CIO

The institutions that have signed up to be part of TRAIN are Erasmus MC and University Medical Center Utrecht in the Netherlands, Sweden’s Sahlgrenska University Hospital and Skåne University Hospital, Finland’s HUS Helsinki University Hospital, Italy’s Universita Vita-Salute San Raffaele, and patient advocacy non-profit Foundation 29.

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Trace3 names Jason Peoples as Outlier Award winner for 2024

CIO

Peoples, director of technology and innovation at Mary Free Bed Rehabilitation Hospital in Grand Rapids, Michigan, has spent the last several years leading the hospital toward dynamic innovation, all through an IT lens. Trace3 recently awarded Peoples its highest honor, the Outlier Award. Peoples comes by his drive naturally.

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What is predictive analytics? Transforming data into future insights

CIO

Hotels, restaurants, and other hospitality industry players can use the technology to forecast the number of guests on any given night in order to maximize occupancy and revenue. The technology helps adopters in fields as diverse as finance, healthcare, retailing, hospitality, pharmaceuticals, automotive, aerospace, and manufacturing.

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7 famous analytics and AI disasters

CIO

Insights gained from analytics and actions driven by machine learning algorithms can give organizations a competitive advantage, but mistakes can be costly in terms of reputation, revenue, or even lives. AI algorithms identify everything but COVID-19. The algorithm learned to identify children, not high-risk patients.

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IT leaders weigh up AI’s role to improve data management

CIO

Data is the support for the core activity of hospitals,” says CIO Manuele Macario. “It The scanned data, in fact, weren’t readable by software because they were extracted from documents from a hospital that operates in trauma and, therefore, often written in haste with inaccurate and contracted handwriting. “We

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Healthcare’s long road to digitization gets an AI boost

CIO

It was probably two years before the algorithm was truly ready to go into production,” says Donovan Reid, associate director of information services applications at Penn Medicine, and four years went by before the system finally was ready for production last year. million imaging scans the hospital system performs annually.

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How Aster DM Healthcare used federated learning to better secure AI analysis of sensitive data

CIO

Although AI-enabled solutions in areas such as medical imaging are helping to address pressing challenges such as staffing shortages and aging populations, accessing silos of relevant data spread across various hospitals, geographies, and other health systems, while complying with regulatory policies, is a massive challenge.

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