JSON twin: https://www.healthaidb.com/software/medwise-ai.json
Medwise AI
AI-powered clinical search and knowledge platform that gives clinicians instant, evidence‑based answers to clinical questions by surfacing vetted passages from guidelines, journals and local policies.
Medwise AI is a customizable, clinician-focused search and Q&A platform that uses natural language processing and medical language models to retrieve and display concise, evidence‑based extracts from trusted sources (guidelines, journals, local protocols). It is designed for point‑of‑care use to reduce time spent searching, capture local clinical queries, and integrate local guidance into clinician workflows.
yes
2019
P1055
2025-09-07
commercial proprietary
Contact vendor for pricing; enterprise / organisation agreements and pilots available (no public pricing).
enterprise_quote
product
1.0
{
"company_name": "Medwise AI",
"company_url": "https://medwise.ai/",
"company_offices": [
"United Kingdom"
],
"company_founding": "2019",
"product_url": "https://medwise.ai/",
"categories": [
"clinical",
"clinical decision support",
"knowledge management",
"AI clinician assistant",
"point-of-care search",
"clinical pathways and reference"
],
"market_segment": [
"enterprise",
"smb",
"clinician-facing"
],
"links": [
"https://medwise.ai/",
"https://www.about.medwise.ai/",
"https://elion.health/products/medwise-ai",
"https://find-and-update.company-information.service.gov.uk/company/12146414",
"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11878475/",
"https://www.crunchbase.com/organization/medwise-ai",
"https://www.linkedin.com/company/medwiseai/",
"https://applytosupply.digitalmarketplace.service.gov.uk/g-cloud/services/964399743164924"
],
"summary": "AI-powered clinical search and knowledge platform that gives clinicians instant, evidence‑based answers to clinical questions by surfacing vetted passages from guidelines, journals and local policies.",
"description": "Medwise AI is a customizable, clinician-focused search and Q&A platform that uses natural language processing and medical language models to retrieve and display concise, evidence‑based extracts from trusted sources (guidelines, journals, local protocols). It is designed for point‑of‑care use to reduce time spent searching, capture local clinical queries, and integrate local guidance into clinician workflows.",
"target_users": [
"clinicians",
"general practitioners",
"hospital physicians",
"nurses",
"pharmacists",
"clinical educators",
"healthcare administrators",
"clinical informaticians"
],
"specialties": [
"primary care",
"general practice",
"internal medicine",
"emergency medicine",
"pharmacy",
"paediatrics",
"geriatrics",
"surgery",
"critical care"
],
"regions_available": [
"United Kingdom"
],
"languages_supported": [
"English"
],
"pricing_model": "enterprise_quote",
"pricing_details": "Contact vendor for pricing; enterprise / organisation agreements and pilots available (no public pricing).",
"license": "commercial proprietary",
"deployment_model": [
"SaaS"
],
"os_platforms": [
"Web",
"iOS",
"Android"
],
"features": [
"AI-powered clinical search / question answering",
"Bite-sized evidence passages from trusted sources",
"Saved search history",
"User folders/bookmarks",
"Source linking to guidelines (NICE and others)",
"Custom source submission (add local sources)",
"Mobile apps for iOS and Android",
"Organisation / enterprise customization",
"Search analytics / performance improvements vs intranets",
"In-app audio recording for questions"
],
"optional_modules": [
"Integration with local clinical guidelines",
"EHR integration",
"Search API (enterprise)",
"Enterprise onboarding and customisation"
],
"integrations": [
"EHR (unnamed / local EHR integrations available)",
"Local clinical guideline repositories",
"NHSmail (SSO)"
],
"data_standards": [],
"api_available": "yes",
"system_requirements": "",
"compliance": [],
"certifications": [],
"security_features": [
"Single sign-on (NHSmail)",
"User authentication / account login"
],
"privacy_features": [],
"data_residency": "",
"customers": [
"Betsi Cadwaladr University Health Board",
"Bradford District and Craven",
"Alder Hey Children",
"Suffolk and North East Essex",
"Stirchley Medical Practice",
"Burlington Primary Care",
"Woodside Medical Practice",
"Victoria Road Surgery",
"Castle Healthcare Practice",
"Church Stretton Medical Practice",
"Derby Road Practice",
"Saxon Cross Surgery",
"Mount Sinai",
"NHS organisations (1000+ listed broadly)"
],
"user_reviews": [
"Their chat functionality doesn't answer medical questions and seems slow to add features.",
"I found answers within seconds compared with many minutes previously — very helpful in clinic.",
"Disappointingly, Medwise.ai does not seem to be using much AI despite claims; it surfaces passages from guidelines but feels like curated search."
],
"ratings": [],
"support_channels": [
"email",
"phone",
"app support",
"contact form"
],
"training_options": [
"documentation",
"webinars",
"live_online",
"onsite",
"product demos"
],
"release_year": "",
"integration_partners": [
"Mount Sinai (Elementa Labs)",
"Babylon Health (partnership/integration mentions)",
"Local NHS guideline integrations",
"EHR integration / EHR vendors",
"Android/iOS app stores (distribution partners)"
],
"id": "P1055",
"slug": "medwise-ai",
"type": "product",
"version": "1.0",
"last_updated": "2025-09-07",
"links_json": {
"self": "https://www.healthaidb.com/software/medwise-ai.json"
}
}