A multilingual, evidence-informed chatbot designed to provide accessible, accurate HIV information for patients — supporting clinicians in improving health literacy.
MACH leverages a foundational model, expertly prompted and fine-tuned on specialized HIV clinical data, enhanced with Retrieval-Augmented Generation (RAG) to ground every response in the latest medical evidence. Operating within a highly secure Azure environment, this architecture provides a safe and effective tool for reliable guidance on prevention, treatment, and living well.
Content available in multiple languages and literacy levels to serve diverse patient populations effectively.
Strictly aligned with NHS, WHO, UNAIDS and BHIVA guidance for maximum clinical accuracy.
Reliable answers between appointments, supporting continuous patient engagement and support.
Accessible on web and mobile, designed specifically for low-bandwidth environments.
Non-judgmental responses tailored to promote safer behaviors and accurately understanding, creating a safe space for questions patients might hesitate to ask in person.
How MACH supports clinical teams and improves patient outcomes efficiently and effectively.
Offers consistent, evidence-based answers outside the clinic environment.
Reduces consultation time spent correcting misinformation.
Encourages medication adherence by improving understanding of treatment.
Available in multiple languages to reduce disparities.
Directly supports NHS HIV awareness, prevention, and population health goals through scalable technology.
MACH is developed in accordance with GDPR and NHS Digital information governance standards. Identifiable patient data is neither stored nor used to train models.
Clinical content is validated and regularly reviewed by HIV specialists.
Review panels comprised of HIV specialists and clinicians.
Strict logs and versioning for all delivered medical content.
Clear pathways for clinical queries flagged by the system.
MACH is developed to align with NHS standards and best practice. It is currently undergoing formal clinical validation and the DTAC (Digital Technology Assessment Criteria) assessment to confirm safety, privacy, clinical assurance and interoperability.
Outcomes and any required mitigations will be published following assessment. For partnership or evaluation enquiries, contact us.
Collaborate with MACH for pilots, clinical evaluation, and localised signposting. Flexible deployment options make it easy to offer the service.
Partner with usMeasured deployment with evaluation metrics to inform clinical utility and safety.
Local clinicians and specialist panels can review and sign off content iterations.
QR codes, links, and patient portal integrations with minimal IT effort.
Configure local resource links, FAQs and referral routes to match your pathways.
Non-judgmental tone
Inclusive of gender & sexuality
Accessible literacy levels
Cultural safety reviews