Edinburgh, EH12 9EB,
United Kingdom
NHS Scotland Technographics
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.
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 |
|
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.
|
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 |
|
Content Management
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
|
|
|
|
Application, Web and Enterprise Search | Content Management |
|
2020 | 2020 |
|
IaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
|
|
|
|
Application Hosting and Computing Services | IaaS |
|
2021 | 2021 |
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|
|
|
|
Application Hosting and Computing Services | IaaS |
|
2013 | 2013 |
|
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|
|
|
Application Hosting and Computing Services | IaaS |
|
2019 | 2019 |
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