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Beste alarmering voor industriële hallen
2026-10-12 02:00:35| Omikron BHV Bedrijfshulpverlening Nieuws
Category: Telecommunications
Top oplossingen voor lone workers op locatie
2026-10-10 02:00:41| Omikron BHV Bedrijfshulpverlening Nieuws
Category: Telecommunications
Welke alarmknop voor nachtdienst past bij uw locatie?
2026-10-08 02:00:56| Omikron BHV Bedrijfshulpverlening Nieuws
Category: Telecommunications
AI, Digital Maturity and Resilience at HTN Live Leeds
2026-10-07 18:27:36| The Webmail Blog
AI, Digital Maturity and Resilience at HTN Live Leeds caro2698 Wed, 10/07/2026 - 11:27 Cloud Insights AI, Digital Maturity and Resilience at HTN Live Leeds October 7, 2026 by Sean Giles, Product Evangelist, Rackspace Technology UK Link Copied! Recent Posts AI, Digital Maturity and Resilience at HTN Live Leeds October 7th, 2026 How Upfront Work Makes Healthcare Migration More Predictable September 29th, 2026 What VMware Explore 2026 Reinforced About the Private Cloud Experience September 15th, 2026 Rackspace Technology Receives ERS Gold Award for Supporting Those Who Serve September 9th, 2026 AI Agents Don't Have Managers August 28th, 2026 Related Posts Cloud Insights AI, Digital Maturity and Resilience at HTN Live Leeds October 7th, 2026 Cloud Insights How Upfront Work Makes Healthcare Migration More Predictable September 29th, 2026 Cloud Insights What VMware Explore 2026 Reinforced About the Private Cloud Experience September 15th, 2026 Culture & Talent Rackspace Technology Receives ERS Gold Award for Supporting Those Who Serve September 9th, 2026 AI Insights, Cloud Insights AI Agents Don't Have Managers August 28th, 2026 HTN Live Leeds highlighted how NHS leaders are approaching AI governance, digital maturity, data platforms, cyber resilience and sovereignty. HTN Live Leeds brought together NHS digital leaders, clinical leaders, technical teams and industry partners on 16 September for a day of discussions focused on the practical challenges shaping healthcare transformation across the UK. As headline sponsor, Rackspace Technology joined conversations spanning enterprise AI, digital maturity, electronic patient records (EPRs), the Federated Data Platform, cybersecurity, cloud infrastructure and interoperability. Rackspace CTO Simon Bennett also presented on how NHS organisations can govern, operate and scale enterprise AI securely across their environments. Across panels, workshops and peer discussions, several themes surfaced repeatedly. AI adoption is advancing, but governance and clinical oversight remain central concerns. Digital maturity is increasingly being measured by operational capability rather than technology deployment alone. Data platforms are creating new opportunities while raising questions about implementation, sustainability and control. And cyber resilience is moving higher on the agenda as NHS organisations consider how to protect and recover critical systems. Those conversations point to four priorities shaping the next phase of NHS digital transformation: AI governance, digital maturity, data utility and cyber resilience. AI adoption is advancing, but governance is shaping how it scales AI was a recurring topic throughout HTN Live Leeds, but the discussions showed that NHS organisations are adopting it at very different speeds. Some trusts remain cautious about broader deployment as they work through questions around clinical safety, diagnostic drift and the absence of a clear national recourse model when AI-supported decisions go wrong. Others are already using mature AI capabilities embedded within radiology, picture archiving and communication systems (PACS), patient administration and other clinical systems where the technology supports defined tasks within established workflows. At the same time, individual teams are experimenting with tools such as ambient voice technology for clinical documentation and automation designed to reduce appointment friction. That uneven adoption is also creating governance challenges. When approved tools do not keep pace with the needs clinicians are trying to address, staff may turn to consumer AI platforms outside centrally managed environments. The discussion around this kind of shadow AI reinforced the need for approved tools, clear controls and visibility into how AI is being used. Across these different use cases, one principle remained consistent: AI should support clinical judgement rather than replace it. Human oversight, transparent audit trails, deterministic controls and clear governance need to remain part of how NHS organisations evaluate, deploy and operate AI, whether they build capabilities internally, buy them through existing platforms or work with partners. Digital maturity is evident in operational capability Digital maturity was another recurring theme at HTN Live Leeds, with discussions extending beyond whether an organisation has deployed a particular platform to how effectively that technology supports the broader care environment. Frameworks such as HIMSS Stage 6 and the national Digital Maturity Assessment (DMA) can provide a high-level view of maturity. But having an electronic patient record does not show how deeply the system is integrated across acute, community and primary care settings, how confidently staff use it or whether it is reducing pressure on frontline teams. Those operational factors provide a clearer measure of whether digital investments are translating into meaningful capability. The conversation also highlighted the importance of what happens after implementation. EPR optimisation, interoperability across Integrated Care Systems, workforce digital literacy and an actionable data strategy all influence whether core platforms can deliver sustained value. Legacy deprecation is part of that picture as well. Running older systems alongside newer platforms can add cost and complexity while preserving vulnerabilities that organisations intended to leave behind. A mature digital environment therefore includes a clear plan for retiring legacy services once replacement platforms are established and operating effectively. The Federated Data Platform is moving from concept to execution Discussions related to the Federated Data Platform (FDP) focused on how its enterprise ontology can bring diverse clinical records into a standardised, accessible model and how organisations can extend its value beyond secure reporting and analytics. A key challenge is implementation. Even where hosting or software licences are supported or subsidised centrally, individual trusts still have to extract, clean and map legacy data into a common model. That work can require significant local resources before the platform can deliver value. Long-term sustainability was another concern. NHS leaders discussed what happens as central funding models evolve and how ongoing hosting, compute and public cloud consumption could affect regional operating budgets. Regional differences also shape how the platform needs to operate. Patient populations can vary significantly across urban and rural settings, creating different requirements for analytics and AI. The discussion highlighted the need to support local models and use cases, including specialised small language models (SLMs) tailored to population health needs, while maintaining appropriate data boundaries across the broader platform. There is increasing emphasis on the recovery side of cyber resilience Cybersecurity discussions at HTN Live Leeds went beyond preventing attacks to focus on how NHS organisations can contain disruption and restore critical services when an incident occurs. Two areas of exposure stood out. The first was the workforce, particularly as social engineering tactics become more sophisticated across mobile and SMS channels. The second was the supply chain, where the resilience of NHS organisations is increasingly tied to the security practices of third-party suppliers and technology partners. The discussion also turned to how recovery environments are designed. If recovery systems sit within the same production environment that has been compromised, they may be exposed to the same attack. Separating recovery capabilities from production infrastructure and making those environments isolated, immutable and sovereign can give organisations a protected foundation from which to restore critical clinical systems safely and quickly. Sovereignty should extend across data, AI and operations Across the discussions at HTN Live Leeds, sovereignty surfaced as a broader operating consideration rather than a single infrastructure decision. It touches how healthcare organisations control sensitive data, where workloads run, how AI is governed, who can make changes and how critical systems are protected and recovered. For NHS organisations, those decisions have to support both innovation and control. AI and data platforms may span multiple systems, partners and environments, but organisations still need clear boundaries around access, processing, governance and operational authority. The Rackspace sovereign perspective fits naturally here. It can include repeatable architecture patterns, isolated recovery environments and operating models that define how data, infrastructure and AI are governed across the organisation. The goal is to give healthcare organisations greater control over data, infrastructure and AI while supporting the operational capabilities required to run those environments reliably at scale. Digital investment should improve how care is delivered The discussions at HTN Live Leeds pointed to a common challenge across AI, digital maturity, data platforms and cyber resilience: digital investment needs to strengthen day-to-day operations and support care delivery. That calls for clear AI governance, integrated platforms, resilient recovery capabilities and defined control over data, infrastructure and operations, with progress measured by outcomes such as stronger clinical capacity, reduced legacy debt and improved patient safety. Rackspace works with healthcare organisations to build and operate secure, sovereign environments across data, applications and AI. Learn how Rackspace can help NHS organisations support more resilient, reliable care delivery. Tags: Cloud Insights Healthcare
Category: Telecommunications
Paniekalarm systemen voor directe hulp op locatie
2026-10-06 02:00:50| Omikron BHV Bedrijfshulpverlening Nieuws
Category: Telecommunications
Toekomstige normen voor noodcommunicatie
2026-10-04 02:00:38| Omikron BHV Bedrijfshulpverlening Nieuws
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2-way pagers voor directe alarmopvolging
2026-10-02 02:02:23| Omikron BHV Bedrijfshulpverlening Nieuws
Category: Telecommunications
Voorbeeld meldkamer koppeling ziekenhuis
2026-09-30 02:00:44| Omikron BHV Bedrijfshulpverlening Nieuws
Category: Telecommunications
How Upfront Work Makes Healthcare Migration More Predictable
2026-09-28 17:36:04| The Webmail Blog
How Upfront Work Makes Healthcare Migration More Predictable caro2698 Mon, 09/28/2026 - 10:36 Cloud Insights How Upfront Work Makes Healthcare Migration More Predictable September 29, 2026 by Kristen Frankel, Technical Program Director, Program Operations, Rackspace Technology Link Copied! Recent Posts How Upfront Work Makes Healthcare Migration More Predictable September 29th, 2026 What VMware Explore 2026 Reinforced About the Private Cloud Experience September 15th, 2026 Rackspace Technology Receives ERS Gold Award for Supporting Those Who Serve September 9th, 2026 AI Agents Don't Have Managers August 28th, 2026 Private AI Doesn't Require a New Data Center August 17th, 2026 Related Posts Cloud Insights How Upfront Work Makes Healthcare Migration More Predictable September 29th, 2026 Cloud Insights What VMware Explore 2026 Reinforced About the Private Cloud Experience September 15th, 2026 Culture & Talent Rackspace Technology Receives ERS Gold Award for Supporting Those Who Serve September 9th, 2026 AI Insights, Cloud Insights AI Agents Don't Have Managers August 28th, 2026 AI Insights, Cloud Insights Private AI Doesn't Require a New Data Center August 17th, 2026 Assessment, dependency mapping, governance and repeatable migration planning give healthcare teams a clearer, more controlled path from discovery through execution. In a large infrastructure transformation, migration day usually gets most of the attention. The predictability of that day, however, is shaped much earlier. In healthcare, that upfront work carries added weight because applications, infrastructure and operating processes are closely connected, and avoidable disruption can affect critical clinical and business operations. For the migration to succeed, teams need to understand in detail how the environment works, which systems depend on one another, who can make decisions when conditions change, how each move will be tested and what happens if validation fails. In my experience, clarity on those points is a major factor in migration predictability. Healthcare environments can span thousands of workloads and hundreds of applications, supported by databases, storage, networking, security and disaster recovery. When we migrate workloads into Rackspace Clinical First Cloud, that dependency picture informs sequencing, testing and recovery planning. At that scale, the unit of planning is rarely an individual workload. Applications often rely on shared infrastructure and services, so migration waves need to reflect those relationships rather than treat each workload as an isolated move. Start with the environment as it works today Assessment is a major part of these engagements. Building an inventory of applications, workloads and supporting infrastructure gives us a baseline view of the environment, but the work goes beyond identifying whats there. Automated discovery and dependency mapping show us which applications need to move together, what they depend on across network, storage and database environments, and what their recovery requirements are. We then validate that information through technical workshops and conversations with the teams closest to the applications and infrastructure. From there, we can group workloads around those relationships and build migration waves with a clearer view of what needs to be ready, which teams need to participate and how each application will be validated after the move. Add strong governance to help migration teams move faster Governance can feel like one more layer of process. However, in a large migration, clear governance can actually help teams move faster. Clear decision rights, defined ownership and established escalation paths help teams respond quickly when conditions change without losing time determining who needs to make the call. Large migrations require decisions throughout planning and execution. Dependencies can change, workloads may not be ready when expected, capacity may need to be adjusted and testing can uncover issues that need to be resolved before work continues. We start by making roles and accountability clear across the program, then build in regular program- and project-level reviews to manage risks, assumptions, issues and dependencies. Escalation paths, formal change control and executive oversight through a steering committee give teams a clear way to handle decisions that need broader alignment. When conditions change, teams know who owns the decision, who needs to be involved and when escalation is required. That clarity helps technical teams stay focused on execution while program leaders manage change consistently across the migration. Build a repeatable migration motion Once the environment is understood and the governance structure is in place, we can organize the migration around a repeatable process. That includes defined migration waves, detailed runbooks, testing plans, go/no-go criteria, communications and rollback plans. The process stays consistent while still accounting for application-specific requirements. Each wave starts with clear prerequisites, sequencing, owners, validation steps, decision points and fallback procedures. The team knows what needs to happen before the move, how the application will be validated afterward and what to do if the result does not match the plan. As the migration progresses, lessons from one wave can inform the next. Teams can refine how they plan, communicate, validate and respond without reinventing the process for every application. That also makes risk easier to identify and manage before each migration window. Account for continuity in each migration wave Continuity planning should be part of every migration from the start. Applications, infrastructure services and operating processes still need to function as expected while the environment changes. Dependency mapping, governance, testing and rollback planning all support that continuity. A workload can move successfully and still create downstream problems if a connected service, dependency or validation requirement has been missed. For each migration wave, teams need a clear view of what must be ready, what must be tested, who can make decisions and what happens if validation does not go as planned. Treat pre-migration work as part of delivery Assessment, governance and migration design are part of the migration itself. Assessment gives teams a clear view of the environment. Governance defines how decisions are made and escalated. Migration planning puts that understanding into practice through defined waves, runbooks, testing and rollback procedures. Together, that work makes execution more predictable. At Rackspace, we support customers from assessment through ongoing operations. We help them understand the current environment, decide how workloads should move, build the target platform, execute the migration and operate the environment over time. That level of coordination becomes especially important when thousands of workloads and hundreds of applications have to move in groups according to technical and business dependencies. By the time a migration wave begins, the environment should be mapped, responsibilities clear and validation plans defined. That keeps the migration window focused on execution rather than discovery or decisions that should have been addressed earlier. Explore how Rackspace Technology can help you plan and operate a more predictable healthcare cloud migration. Tags: Cloud Insights Healthcare
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