AI Buyer Insights:

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Michelin, an e2open customer evaluated Oracle Transportation Management

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Michelin, an e2open customer evaluated Oracle Transportation Management

NHS Scotland Data, Technology Stack, and Enterprise 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
Application Hosting and Computing Services IaaS 2013 2013
Application Hosting and Computing Services IaaS 2019 2019
IT Decision Makers and Key Stakeholders at NHS Scotland
First Name Last Name Title Function Department Email Phone
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Apps Being Evaluated by NHS Scotland Executives
Date Company Status Vendor Product Category Market
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FAQ - APPS RUN THE WORLD NHS Scotland Technographics

NHS Scotland is a Healthcare organization based in United Kingdom, with around 160000 employees and annual revenues of $15.72 billion.

NHS Scotland operates a diverse technology stack with applications such as Jobtrain ATS, KenSci Clinical Analytics and Rocket.chat, covering areas like Applicant Tracking System, ML and Data Science Platforms and Chatbots and Conversational AI.

NHS Scotland has invested in cloud applications and AI-driven platforms to optimize efficiency and growth, collaborating with vendors such as Jobtrain Solutions, Tegria and Rocket.chat.

NHS Scotland recently adopted applications including DigitalOcean Droplets in 2021, Algolia Search in 2020 and Microsoft Azure Cloud Services in 2019, highlighting its ongoing modernization strategy.

APPS RUN THE WORLD maintains an up-to-date database of NHS Scotland’s key decision makers and IT executives, available to Premium subscribers.

Our research team continuously updates NHS Scotland’s profile with verified software purchases, vendor relationships, and digital initiatives identified from public and proprietary sources.

Subscribe to APPS RUN THE WORLD to access the complete NHS Scotland technographics profile, including detailed breakdowns by category, vendor, and IT decision makers.