What challenges did System C face before AI implementation?

Administrative burden on clinicians and social workers limited direct care time. Clinician and social worker burnout due to excessive paperwork. Healthcare system seeking efficiency without loss of accuracy in patient records. High costs and time lost to manual documentation processes.

What was the impact of the AI solution?

Over 60% reduction in admin time per task for clinicians. Up to 45 minutes saved per needs assessment for social workers. Potential cost savings of over £5 million per NHS trust annually. Frontline workers spend more time with patients and clients, improving care quality.

Source

Microsoft

System C slashes administrative workload in UK health and social care

Use case typeClinical documentationUpdated Jun 13, 2026

System C has developed a generative AI solution leveraging Azure OpenAI, Azure Cosmos DB, and Azure SQL Database to reduce administrative tasks for health and social care professionals in the UK. The AI assistant drafts documentation and referrals from clinician-patient and social worker-citizen interactions, integrating with CareFlow EPR and Liquidlogic management platforms. Clinicians review AI-generated notes before approval to maintain quality. Initial pilots in local authorities and an NHS trust highlight significant time and cost savings: over 60% reduction in admin time per task for clinicians and up to 45 minutes saved for social worker assessments. Potential non-cash savings exceed £5 million annually per NHS trust. The initiative aims to combat staff burnout and raise quality of care by enabling more patient time. System C plans to expand AI functionalities for additional use cases, partnering with customers for ongoing innovation.

Organization: System C
Industry: Healthcare
Location: United Kingdom
Published: January 2025

Reported outcomes

−60%

timeTime & speed

45 minutestime

Strategic outcomes

New product / capabilityLaunched AI documentation and referral assistantSpeed & agilityReduced administrative workload for cliniciansSpeed & agilityStreamlined social worker assessmentsCustomer experience & trustEnabled more time for direct care

Catalog median for time & speed deployments: −60% across 727 reported metrics. Compare benchmarks →

Primary read

Use case focus

Showing 2 of 2

1Automated Clinical Documentation Drafting
2AI-Assisted Social Care Assessment Note Generation

Administrative burden on clinicians and social workers limited direct care time.
Clinician and social worker burnout due to excessive paperwork.
Healthcare system seeking efficiency without loss of accuracy in patient records.
High costs and time lost to manual documentation processes.

Implemented generative AI assistant using Azure OpenAI, Cosmos DB, and Azure SQL Database.
Integrated AI into CareFlow EPR and Liquidlogic social care management platforms.
AI assistant automates draft documentation and referrals based on recorded notes or audio.
Maintained 'human in the loop' with clinician review and approval of drafts.

Technologies

Azure OpenAI Azure Cosmos DB Azure SQL Database

Over 60% reduction in admin time per task for clinicians.
Up to 45 minutes saved per needs assessment for social workers.
Potential cost savings of over £5 million per NHS trust annually.
Frontline workers spend more time with patients and clients, improving care quality.

Architecture

System C integrates Azure OpenAI Service, Cosmos DB, and SQL Database to host secure, compliant AI models. AI assistants process clinician or social worker notes, generate documentation drafts, and integrate directly with CareFlow EPR and Liquidlogic systems. Drafts are reviewed by professionals before being formally included in records, ensuring quality and compliance.

Sources & evidence1

Groundedness: Unavailable

Primary source

AI-generated summary. Verify important details with the linked sources before relying on this case.

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