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Next-Gen Clinical Decision Support System for UK Healthcare

Cellma’s AI Clinical Decision Support seamlessly guides clinicians with evidence-based recommendations at the point of care.
Schedule A Walkthrough

Next-Gen Clinical Decision Support System for UK Healthcare

Cellma’s AI Clinical Decision Support seamlessly guides clinicians with evidence-based recommendations at the point of care.

Schedule A Walkthrough

Cellma’s Clinical Decision Support System for Healthcare

Today’s healthcare environment is increasingly complex, and clinicians face the challenge of keeping up with vast medical knowledge, evolving treatment standards, and the growing demands for accuracy and efficiency. A Clinical Decision Support System (CDSS) is designed to act as an intelligent assistant in healthcare workflows, delivering evidence-based guidance to clinicians in real time, supporting them in making accurate data-driven clinical decisions. By utilising patient-specific data, clinical guidelines, and predictive analytics, CDSS tools can improve diagnostic accuracy, reduce medical errors, and support consistent, high-quality care in any setting.
Cellma takes this concept further by integrating an AI Clinical Decision Support solution directly within its platform. Designed for UK and global healthcare providers, the CDSS feature offers alerts, recommendations, and diagnostic suggestions in a real-time clinical environment, all aligned with NHS and global guidelines. It leverages Natural Language Processing (NLP) to interpret and extract key insights from unstructured clinical data, such as notes and reports, enhancing the accuracy and depth of analysis. Supporting Multidisciplinary Team (MDT) workflows, Cellma ensures that clinicians, pharmacists, and diagnostic teams receive coordinated, context-aware insights across departments. With Cellma, healthcare professionals receive the right information at the right moment, empowering them to deliver safer, faster, and more effective care.

AI-Fuelled Clinical Decision Support Features

The clinical decision support (CDS) capability in Cellma utilises innovative modules designed for healthcare organisations in delivering intelligent clinical
guidance across specialties and settings of care. Some of the hallmark features of the CDS capabilities include:

Real-Time Medication
Safety Alerts

Real-time medication interaction alerts
alongside dosage recommendations and
pharmacy-clinician collaboration.

Intelligent Diagnostic
Assistance

Diagnostic support that suggests differential diagnosis from patient data and evidence-based sources.

Guideline Compliance & Care Pathway Recommendations

Monitoring of clinical guidelines adherence and recommendation for pathways of care in line with UK and global guidelines.

Predictive Risk Analytics

Predictive analytics to flag risk of patient deterioration, enabling proactive intervention.

Evidence-Based Treatment Pathways

Treatment-pathway recommendations based on best practices: chronic disease management, acute care, post‐discharge follow-up.

Special Population Protocols & Alerts

Protocols and alerts for special populations (e.g., elderly, multimorbidity) as part of your CDS Software offering.

EHR Integration & Clinical Workflow Enhancement

Decision support only works when it fits seamlessly into the clinical workflow, not when it interrupts it.
  • The AI engine connects bidirectionally with your Cellma setup via secure APIs, enabling real-time exchange of data between patient records and decision support logic. 
  • Context-aware recommendations appear right at the point of care: during order entry, prescribing, care-plan development, post-discharge monitoring.  
  • Role-based alert prioritisation ensures that the right team member sees the right type of alert (clinician, pharmacist, governance lead) and that escalation is built in. 
  • The system adapts over time to your local practice patterns: machine-learning elements learn from clinician responses and outcomes, refining threshold settings, relevance and presentation style. 
  • A full audit trail records all suggestions, clinician responses and system triggers, so clinical governance teams have visibility, compliance and quality-improvement data. 

Benefits of Choosing Cellma’s Clinical Decision Support System

Reduced Clinical Errors

Enhanced Patient Safety

Improved Clinical Efficiency

Evidence-Based Decision Support (NICE, BNF, SIGN)

Stronger Adherence to UK and Global Guidelines for Best Practices

Seamless EHR
Integration

Multidisciplinary (MDT) Workflow Support

Better Resource
Utilisation

Enhanced Governance and
Audit Readiness

Clinical Safety Officer (CSO) Validation

Increased Clinician Confidence and Collaboration

Support for Predictive and Preventive Care

Frequently Asked Questions (FAQs)

How does Cellma’s Clinical Decision Support System differ from traditional rule-based systems?

Our AI Clinical Decision Support solution combines classic rules with machine-learning algorithms that learn from local data and outcomes. Unlike static systems, ours evolves through real-world usage while remaining fully transparent clinicians retain ultimate decision authority.

Can the Clinical Decision Support System be customised for specific specialties or clinical pathways?

Certainly. Although our platform has a comprehensive, versatile, and adaptable out-of-the-box support for common scenarios, we do provide a customized version of our solution that can include specialty features for cardiology, diabetes, orthopaedic, ENT, psychiatry, and peri-operative specialties. Clinical teams can configure specialty-specific rules, embed local protocols, and modify alert behaviour to suit their operational governance and quality-improvement requirements.

Is the AI Clinical Decision Support system compliant with UK and global healthcare regulatory and data-protection standards?

Absolutely. The AI Clinical Decision Support system is compliant with UK GDPR, NHS Digital DCB 0129/0160 standards, and all applicable healthcare-IT commissions.