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Client Intelligence Suite

Automatically prioritise high-needs clients with Client Intelligence Suite.

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How it works

AlayaCare’s Client Intelligence Suite provides proactive insights to improve client outcomes by optimally integrating clinical notes, client data, and predictive analytics. 

Using Artificial Intelligence (AI), Client Intelligence Suite automatically extracts and interprets vital information to flag at-risk clients, enabling timely interventions and reducing adverse health events. 

Notable sim

Triage clients automatically

Quickly visualise and interpret clients' risk of adverse events with an intuitive dashboard that provides a high-level overview of clients based on data inputs.

Streamlined review processes: The Client Intelligence Suite dashboard automatically displays and prioritises high-risk client profiles to enable quick intervention and proactive care.

Comprehensive monitoring: The client risk dashboard provides detailed historical data on a client's visits and clinical information from the previous 28 days.

Minimise manual tasks: Reduce the daily workload of clinical staff with automatic clinical note interpretation.

Reduce the risk of adverse events

Eliminate overlooked details in clinical notes and empower care workers with timely, actionable insights.

Overview of at-risk clients: The individualised risk listing view allows clinicians to monitor a client's risk of hospitalisation within the next 30 days. 

Proactive identification: Receive proactive alerts about clients at risk of adverse events for early intervention and hospital prevention. 

Enhanced client safety: Continuous monitoring and timely alerts ensure clients receive necessary care before adverse events occur. 

Client List
Client Intelligence powered by AI

Powered by AI

Leverage the power of large language models (LLMs) and natural language processing (NLP) to achieve better client outcomes.

Efficient information processing: LLMs reduce manual workflows by fine-tuning homecare datasets, automatically reading, extracting, and identifying key client information.  

Extract critical information seamlessly: NLP algorithms support care workers to identify at-risk clients and provide proactive care by extracting and identifying highly relevant clinical information within client profiles. 

Cutting-edge risk models: AlayaCare's proprietary Predictive Risk Models use clinical and visit data sources to build a risk model for each client to enable care workers to anticipate adverse events or hospitalisations. 

Demo showcase

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See how AlayaCare can help your organisation first-hand with a demo that'll answer any concerns and questions you may have.