AI Won’t Fix Healthcare Until Healthcare Fixes Its Data
AI is rapidly moving beyond pilots in healthcare, accelerating research, diagnostics and patient pathways. Yet EU research shows AI could recover roughly $275 billion lost to clinical inefficiency, while real‑world adoption stalls because data remain fragmented, non‑standardised, and outdated. The article argues that trustworthy, real‑time, interoperable data—not AI models—is the decisive prerequisite for safe, scalable AI. It proposes five foundations—interoperability, real‑time context, governance by design, explainability, and inclusion—to unlock AI’s value.
Frontline Productivity: A Strategic Imperative for NHS Leaders
Frontline productivity has become a strategic imperative for the NHS as the 2025 Spending Review mandates a 2% annual efficiency gain. The focus has shifted from merely installing technology to embedding electronic patient record (EPR) systems that clinicians can actually...
Strategies to Bridge the Digital Divide to Improve Patient Care
The U.S. still faces a stark digital divide, with one in five households lacking reliable internet, hampering telehealth adoption and patient portal use. This gap creates a two‑tiered health system where vulnerable patients miss appointments, vaccination sign‑ups, and critical test...
Drug Safety in the Modern Age: Is It Time for a Larger-Scale Revamp of Adverse Event Case Processing?
Pharmacovigilance (PV) is at a crossroads as regulators like the EMA and FDA push for real‑time safety monitoring by 2030. The article argues that AI‑driven automation can transform adverse event case processing from a manual, reactive workflow to near‑instantaneous, end‑to‑end...
RPM Programs: What It Takes for Health Systems to Scale Successfully
Remote patient monitoring (RPM) succeeds when health systems treat it as a care‑delivery transformation, embedding the technology into existing workflows, change‑management plans, and interoperable platforms. Vivalink’s tiered analytics core filters high‑volume physiological data in near real‑time, delivering only actionable alerts...
AI in the Age of Sustainability: Are the Benefits to Pharma Worth Its Environmental Impact?
Artificial intelligence is now deemed crucial by three‑quarters of life‑science firms, with pharma executives betting on AI to accelerate drug discovery, streamline clinical trials, and personalize medical content. At the same time, generative AI’s data‑center demand—about 1,050 terawatt‑hours of electricity and...
Connecting Access and Throughput as a Single System
Conduit Health Partners released its Connected System report, linking patient access and throughput as a single operational challenge. The study, based on data and a survey of 64 triage and transfer nurses, shows that early nurse engagement and centralized transfer...
AI Won’t Fix Broken Foundations. How to Get Your Architecture Right Before You Automate
Healthcare AI promises earlier diagnosis and lower admin costs, but fragmented data threatens safety. Wales' Digital Health and Care Wales designed a National Target Architecture that consolidates over 300 patient applications into a unified health data space aligned with FHIR...
Huawei Xinghe Intelligent High-Quality Hospital Network: Empowering Global Smart Healthcare Development
Huawei introduced the Xinghe Intelligent Campus Network, a full‑stack solution that combines Wi‑Fi 7 zero‑roaming, high‑quality optical Ethernet, Twins dual‑engine switches and AI‑driven SDN control. The platform delivers uninterrupted 24/7 connectivity, sub‑second failover and proactive fault prediction for hospitals worldwide. By...
Reimagining Vaccine Development with AI
Traditional vaccine trials can take 5‑10 years, limiting response to emerging pathogens. AI‑driven adaptive designs and predictive analytics promise to shorten timelines, achieving 85‑90% outcome prediction accuracy versus 70‑75% for conventional models. By automating site selection, forecasting disease hotspots, and...
Not All AI Is Equal – and Clinical Governance Depends on Knowing the Difference
Healthcare is rapidly deploying AI—from summarising records to supporting diagnostics—to ease staffing shortages and administrative overload. The article warns that industry conversations often equate all AI with large language models, ignoring critical architectural differences. It contends that LLMs belong only...
As New Rules Take Hold, What Does ‘Good AI Practice’ Look Like in Drug Development?
On January 14 2026 the EMA and FDA published joint guiding principles that define good AI practice for drug development. The technology‑neutral framework emphasizes context of use, risk‑based controls, data governance, documentation and lifecycle management rather than adding new regulatory requirements. It...
The Next Wave of Healthcare Cyber Risk, From IoMT to AI-Enabled Attacks
Healthcare cyber risk is evolving beyond ransomware and data breaches as connected medical devices, remote telehealth services, and cloud platforms expand the attack surface. Legacy equipment lacking modern security controls now coexists with IoT and OT, creating vulnerable footholds for...
When Surgeons Say ‘Wow’: A Game Changer for Orthopaedic Surgery
The SWASH+ NHS consortium has deployed Sectra’s 3D orthopaedic planning software across five trusts, enabling surgeons to virtually reconstruct fractures before entering the operating theatre. The tool slashes multidisciplinary team (MDT) meeting time by up to 50% and accelerates pre‑operative...
AI Tools that Cut Paperwork Could Help Tackle Rising Clinician Burnout Across the NHS
The NHS faces a massive backlog of 7.31 million planned treatments, intensifying clinician burnout as administrative duties consume personal time. Trials at Oxford University Hospitals using ambient voice technology (AVT) showed clinicians saved nearly 30 minutes per day, with 73% reporting improved...