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A decade-long analytics transformation at East London NHS Foundation Trust demonstrates how clinician-focused design and accessible insights can improve outcomes.

AI-powered analytics, evolving regulations and smart camera performance are driving new surveillance installations, delivering efficiencies and improving care.

Despite staffing shortages and chaotic work environments, market researchers said increased clinician EHR satisfaction, improved payer/provider relationships and progress on SDOH are advancing healthcare delivery.

In one HIMSS25 session, three speakers from Froedtert & MCW will discuss how ML models can forecast future hospital capacity needs by analyzing large datasets, including historical patient admissions, discharge trends and much more.

Also, Gold Coast Health is trying out an AI scribe to support clinical documentation.

It is the first Taiwanese hospital to be validated for both Stage 7 INFRAM and Stage 6 AMAM.

Among its success stories, the health system built an app that identifies more than 10 patients each week with potential malnutrition who then are referred to nutritionists.

The health system uses statistical reporting supported by an analytical data warehouse. It has also reduced coding and data processing time, streamlining business intelligence for data-driven decision-making.

At Penn Medicine, integrated product teams – comprising data scientists, physicians and software engineers, among others – are helping improve AI and machine learning applications.

The analytics company wants to help its customers use augmented intelligence to tackle everything from value-based care and price transparency to pandemic response and health equity.