Use Cases

Our platform enables the harmonisation of virtual and in-person clinical capabilities.

Driving improved efficiencies, enhancing quality and improving outcomes.

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Reimagine your patient pathways with next-generation clinical intelligence

Rapid Health is flexible and can support almost any use case that typically requires a (human) clinical decision, allowing you to increase clinical capacity, reduce waste, improve patient access and experience, whilst reducing costs.

Here are some example use cases that our technology can support.

CASE STUDIES

Accelerate your digital transformation

Standardise care

Digitise clinical care pathways and deploy decision support applications to support healthcare professionals in delivering a consistent standard of patient care, ensuring quality and safety while reducing unnecessary costs.

Triage

Create a smart digital front door to identify potential diagnoses, urgency and prioritisation of patients, facilitating them to book a relevant appointment type and slot within a suitable timeframe with the most suitable healthcare professional.

Virtual ward

Use population health insights to provide personalised, predictive, and preventive care for people in the community with the most complex medical and social needs, to reduce non-elective secondary care usage, optimising waiting-lists.

Software as a medical device (SaMD)

Develop, test and deploy medical devices that can support diagnosis, disease prevention and treatment, using Rapid Health’s SaMD certified platform.

Clinical notes and coding

Our solutions generate clearly written clinical notes and automated clinical coding (SNOMED, ICD, etc) within the Electronic Health Record. Rapid Health is fully integrated into EMIS and SystmOne.

Diagnostics

Accurately measure and improve diagnosis, monitoring, screening and prognosis using diagnostics and intelligent clinical analysis.

Clinical trials

Extract deep, real-time insights that validate efficacy and performance of treatments in real-world settings and improve the precision and speed of clinical trials.

Care plans

Provide patients with personalised care plans that suit their unique individual needs, outlining the help they should receive, whilst supporting them to better manage their own health.

Health navigator

Streamline patients with complex care and treatment needs, enabling them to traverse through convoluted healthcare systems with seamless handoffs.

Predictive care

Develop analytical models to predict the probability of disease and deploy preventive measures in order to prevent the disease or significantly decrease the impact of the disease upon the patient.

Measure outcomes

Digitise PROMs to accurately measure changes in health outcomes resulting from specific health care interventions, enabling you to optimise the patient care pathway, improving outcomes whilst reducing costs.

Clinical audits

Assess, evaluate and improve healthcare in line with local standards to ensure that best practice is being carried out and to identify areas for improvement.

Insurance fraud

Create intelligent bots that can retrospectively analyse insurance claims and determine whether appropriate clinical guidelines were followed, ensuring payment is only authorised for legitimate claims.

Safety-netting

Provide information to patients and healthcare professionals about actions to take if their condition fails to improve, or if they become concerned.

Chronic care management

Help patients achieve a better quality of life through continuous care and management of their chronic conditions, ensuring that they are seen by the right person at the right time if their condition deteriorates.

Remote monitoring

Remotely monitor and intelligently analyse patient data in a holistic way, ensuring that any changes to their condition are spotted early and interventions or treatment adjustments can be made to improve health outcomes.

Health screening

Use predictive modelling to identify risks for health issues such as heart disease and diabetes, ensuring patients receive the right treatment at the right time.

Clinical assessments

Collect patient information and evaluate their presenting complaints to inform and facilitate decisions or recommendations intended to improve their health.

Risk stratification

Segment patients into distinct groups of similar complexity and care needs to assign risk levels and make evidence-based care management decisions.

Patient prioritisation

Improve fairness and equity in the delivery of care, ensuring that patients are prioritised by clinical need and those with the most urgent needs get seen before others with less serious complaints.

License our turn-key solutions, or build your own clinical intelligence algorithms and pathways with our no-code authoring tools, or a combination of the two, to create a fully integrated smart healthcare service.

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