Innovating healthcare
delivery with the cloud
- Secure, flexible and cost-effective AI solutions by leveraging the latest AWS services
Explore healthcare specific content including case studies & insights.
Advanced AWS partner
3x AI & ML competencies
We have proven expertise in our AI services which are being leveraged to transform industries.
AWS empowers healthcare organisations to transform patient care, operational efficiency, and innovation. With secure, scalable cloud solutions, healthcare providers can seamlessly store, access, and analyse vast amounts of data to unlock new possibilities.
Featured case study
Benefits
Understanding the healthcare and life sciences sector
By harnessing the power of the cloud, healthcare providers can access and store vast amounts of patient data securely, enabling seamless collaboration and information sharing across healthcare teams. Cloud-based solutions facilitate real-time access to patient records, diagnostic images, and test results, empowering healthcare professionals to make faster, more accurate decisions.
Data accessibility
80% of healthcare organisations reported improved collaboration after adopting cloud solutions.
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Accelerated research
Scalability
Secure compliance
Healthcare use cases by solutions
Introduce AI to your business
Unlock the transformative power of AI/ML in healthcare with Firemind’s cloud solutions. Drive revenue growth, enhance customer experiences, and optimise operations. Leverage AI algorithms and machine learning in the cloud to gain insights, predict trends, and build effective infrastructures. Stay ahead, exceed expectations, and achieve success with scalable, cost-effective, and agile cloud solutions.
01
Medical imaging analysis
Precision scans – AI/ML algorithms deployed on the cloud can analyse medical images, such as X-rays, CT scans, and MRIs, to aid in detecting and diagnosing various conditions, including tumours, fractures, and abnormalities.
02
Early detection
03
Support systems
Clinical decisions – Algorithms deployed in the cloud can provide real0time clinical decision support by analysing patient data, medical literature, and treatment guidelines. This assists healthcare professionals in making evidence-based decisions.
04
Personalised medicine
Tailoring therapies – Cloud based AI/ML models can analyse patient genomic data, medical history, and treatment outcomes to develop personalised treatment plans and drug recommendations.
05
Virtual health assistants
Built intelligently – AI virtual health assistants integrate with cloud platforms to interact with patients, answers queries, provide personalised health advice, improve engagement, offer remote monitoring, and guide medication adherence and lifestyle changes.
06
Risk strategy
Patient outcomes – AI/ML models analyse patient data to stratify individuals into risk categories, identifying those at higher risk of conditions or adverse events. This enables proactive interventions, targeted preventive care, and resource allocation to high-risk patients.
07
Trials optimisation
Cloud deployed AI/ML algorithms expedite clinical trial recruitment by identifying eligible patients based on criteria from large datasets. This improves efficiency, accelerates trial enrolment, and enhances new therapy development.
Implement AI into your industry workflow
Explore & define
AI roadmap: Exploration, applications & goal setting
We’ll explore AI’s applications and benefits through research, workshops, and team engagement. This will identify how AI can enhance customer experience, inventory management, demand forecasting, pricing optimisation, and fraud detection. We’ll then set clear goals, create a roadmap, and identify specific use cases for integrating AI in your retail operations.
Assess & develop
Data preparation: Evaluation & model development
We’ll evaluate data sources, plan infrastructure, and aggregate diverse data. Then, we’ll develop AI models through machine learning, including algorithm selection, feature engineering, training, and validation. Models will be deployed, integrated, and tested for accuracy and performance.
Refine & scale
AI expansion: Monitoring, retraining & scaling
AI implementation is iterative, involving continuous monitoring, feedback collection, and refinements. Retraining models with more data enhances accuracy and adaptability. After successful initial deployment, expand AI across departments with chatbots for customer support, computer vision for visual product search, and AI-driven recommendation engines.
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Want to learn more?
Seen a specific case study or insight and want to learn more? Or thinking about your next project? Drop us a message!