Edinburgh, EH12 9EB,
United Kingdom
NHS Scotland Technographics
NHS Scotland Technographics, Software Purchases, AI and Digital Transformation Initiatives
Discover the latest software purchases and digital transformation initiatives being undertaken by NHS Scotland and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 160000 NHS Scotland employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that NHS Scotland has purchased the following applications: Jobtrain ATS for Applicant Tracking System in 2017, KenSci Clinical Analytics for ML and Data Science Platforms in 2017, Rocket.chat for Chatbots and Conversational AI in 2018 and the related IT decision-makers and key stakeholders.
Our database provides customer insight and contextual information on which enterprise applications and software systems NHS Scotland is running and its propensity to invest more and deepen its relationship with Jobtrain Solutions , Tegria , Rocket.chat or identify new suppliers as part of their overall Digital and IT transformation projects to stay competitive, fend off threats from disruptive forces, or comply with internal mandates to improve overall enterprise efficiency.
We have been analyzing NHS Scotland revenues, which have grown to $15.72 billion in 2024, plus its IT budget and roadmap, cloud software purchases, aggregating massive amounts of data points that form the basis of our forecast assumptions for NHS Scotland intention to invest in emerging technologies such as AI, Machine Learning, IoT, Blockchain, Autonomous Database or in cloud-based ERP, HCM, CRM, EPM, Procurement or Treasury applications.
NHS Scotland Tech Stack and Enterprise Applications
NHS Scotland HCM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Jobtrain Solutions | Legacy | Jobtrain ATS | Applicant Tracking System | HCM | n/a | 2017 | 2017 |
In 2017, NHS Scotland implemented Jobtrain ATS, an Applicant Tracking System, under a national contract with Jobtrain Solutions. The programme delivered a single, centralized Jobtrain ATS instance to support recruitment operations across NHS Scotland's health boards and regional sites.
Jobtrain ATS was configured with core Applicant Tracking System capabilities including job posting and vacancy management, candidate lifecycle and application workflow orchestration, screening and shortlisting tools, and compliance and reporting functions aligned to public sector recruitment controls. Configuration work emphasized standardized vacancy templates, role based access controls, and candidate communication workflows to support hiring managers and HR users.
Operational coverage extended to HR departments and recruitment teams across NHS Scotland, providing a consistent application intake and candidate management framework for multiple boards. The deployment established centralized vacancy authoring and candidate tracking to harmonize recruitment processes across the national estate.
Governance put centralized policy controls and administrator roles into place within Jobtrain ATS, with configuration governance to enforce consistent processes and audit trails. The implementation was executed under contract with Jobtrain Solutions and prioritized system configuration and staged user adoption across the organization.
|
NHS Scotland AI Development
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Tegria | Legacy | KenSci Clinical Analytics | ML and Data Science Platforms | AI Development | n/a | 2017 | 2018 |
In 2017, NHS Scotland began a trial deployment of KenSci Clinical Analytics through an open innovation competition to develop risk prediction for chronic obstructive pulmonary disease. The implementation focused on emergency care management for COPD within NHS Greater Glasgow & Clyde, using an anonymized dataset covering approximately 2.1 million patients and capturing A&E admissions over a four year window to validate clinical predictive models.
The KenSci Clinical Analytics deployment implemented ML driven risk prediction models and a physician decision support solution, delivering COPD specific risk scores, detection and prediction of clinical deterioration including acute exacerbations, and estimations of admission patterns and length of stay. Model training and scoring pipelines were paired with visualization layers and clinician-facing reports, reflecting typical capabilities of ML and Data Science Platforms in healthcare risk stratification and operational forecasting.
Architecturally the risk prediction platform was built on Microsoft Azure with reporting surfaced through Power BI, ingesting anonymized records provided under a data processing agreement with the NHS Greater Glasgow & Clyde Safe Haven. Trustmarque partnered with KenSci to construct the platform, and the project used SBRI funding and a phased evaluation approach to test technical feasibility against the Glasgow patient cohort.
Governance and rollout were structured around the SBRI competition phases, with phase 1 demonstrating feasibility and phase 2 designated for prototype development and evaluation, and NHS Greater Glasgow & Clyde acting as the lead test bed for potential extension to other clinical areas. The project was explicitly aimed at enabling clinicians to prioritize high risk patients, support earlier treatment and disposition decisions, and inform hospital resource planning while maintaining clinical safety and data processing controls.
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NHS Scotland AI-Powered Application
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Rocket.chat | Legacy | Rocket.chat | Chatbots and Conversational AI | AI-Powered Application | n/a | 2018 | 2018 |
In 2018, NHS Scotland deployed Rocket.chat on its public website. NHS Scotland deployed Rocket.chat to provide a web-embedded Chatbots and Conversational AI capability for patient-facing inquiries, information dissemination, and real-time messaging. The Rocket.chat implementation uses the vendor's web chat widget and conversational modules to present scripted responses and to escalate to human agents when required.
The deployment is scoped to the NHS Scotland public web estate and is operated by the organization’s digital communications and patient services teams, aligning conversational content with existing web content governance and clinical communications protocols. Architecture and operational controls focus on an embedded front-end widget, server-side conversational logic and messaging channels, with moderation and handoff workflows enabling automated triage and escalation to staffed contact channels. Rocket.chat centralizes patient communication on the NHS Scotland website while governance emphasizes content moderation and operational handover between automated responses and human responders.
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NHS Scotland Content Management
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
|
|
|
|
Application, Web and Enterprise Search | Content Management |
|
2020 | 2020 |
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NHS Scotland IaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
|
|
|
|
Application Hosting and Computing Services | IaaS |
|
2021 | 2021 |
|
|
|
|
|
Application Hosting and Computing Services | IaaS |
|
2013 | 2013 |
|
|
|
|
|
Application Hosting and Computing Services | IaaS |
|
2019 | 2019 |
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IT Decision Makers and Key Stakeholders at NHS Scotland
| First Name | Last Name | Title | Function | Department | Phone | |
|---|---|---|---|---|---|---|
| Risk Systems Manager | Manager | IT | ||||
| Chief Operating Officer | CXO | Finance |
Apps Being Evaluated by NHS Scotland Executives
| Date | Company | Status | Vendor | Product | Category | Market |
|---|---|---|---|---|---|---|
| No data found | ||||||