HEALWELL AI
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About
HEALWELL AI is a healthcare technology company focused on advancing preventative care through artificial intelligence and data science. The company develops and commercializes clinical decision support systems that assist healthcare providers in identifying rare and chronic diseases much earlier than traditional methods allow. By unlocking siloed healthcare data—which represents about 90% of all medical data—HEALWELL aims to prevent late or missed diagnoses, a critical challenge in modern medicine. Their suite of tools acts as a clinical co-pilot, helping physicians navigate complex patient histories and clinical evidence to provide better care. The technology functions by integrating with existing electronic health record (EHR) systems and data infrastructure to analyze patient data at scale. HEALWELL's ecosystem includes specialized AI engines like Khure Health and Pentavere, which focus on patient risk stratification and real-world evidence generation. These tools are capable of screening for hundreds of conditions, such as Gaucher disease and Chronic Kidney Disease, by identifying subtle signals within disparate datasets. The system provides actionable insights directly to clinicians, enabling them to make more informed decisions during patient interactions. The platform is primarily designed for healthcare providers, large health systems, and life sciences companies. For physicians, it serves as a digital assistant that reduces the manual burden of data analysis while improving diagnostic accuracy. Pharmaceutical and life sciences companies use the platform for clinical research, real-world evidence gathering, and precision medicine initiatives. By streamlining the path from data to diagnosis, the tool supports a move toward a more proactive and sustainable healthcare model that prioritizes early intervention over late-stage treatment. What distinguishes HEALWELL AI from other health-tech firms is its extensive clinical depth and strategic partnership with WELL Health, Canada's largest digital healthcare ecosystem. This partnership provides HEALWELL with access to over 30,000 healthcare providers and millions of patient visits annually, allowing for continuous refinement of its AI algorithms. Unlike standalone AI tools, HEALWELL operates as a comprehensive ecosystem that combines data management, interoperability software, and clinical research services, creating a solution that bridges the gap between raw data and clinical application.
Pros & Cons
Exclusive access to Canada's largest digital healthcare ecosystem through the WELL Health partnership.
Proven commercial success with 7 of the top 10 global pharmaceutical companies.
High gross margins exceeding 60% on their core AI technologies.
Comprehensive screening capabilities for hundreds of rare and chronic conditions.
Deep clinical depth backed by an ecosystem of seven synergistic healthcare companies.
Access to the clinician network is dependent on individual clinician consent for data usage.
High strategic dependence on its lead investor and partner, WELL Health, for market distribution.
Integration is focused on specific EHR ecosystems, which may limit use in non-supported platforms.
Use Cases
Physicians can identify patients at risk of rare conditions like Gaucher disease by using the AI co-pilot to scan clinical data.
Life sciences companies can generate real-world evidence (RWE) to support clinical studies and the commercialization of new treatments.
Health system administrators can utilize population health management tools to close gaps in care across large patient populations.
Clinical researchers can leverage data science tools to accelerate the identification of eligible patients for early and late-phase clinical trials.
Platform
Features
• population health management
• rare and chronic disease screening
• clinical research services
• healthcare data interoperability
• electronic health record (ehr) integration
• real-world evidence (rwe) generation
• patient risk stratification
• ai clinical co-pilot tools
FAQs
On what exchange does HEALWELL AI trade and what is the symbol?
HEALWELL AI is publicly traded on the TSX under the symbol 'AIDX', on the OTCQX under the symbol 'HWAIF', and on the Frankfurt Stock Exchange under the symbol '6H90'.
What types of conditions can HEALWELL's AI tools help detect?
The platform can screen for and detect hundreds of rare, complex, and chronic diseases. Specific examples include Gaucher disease, Chronic Kidney Disease, and Neovascular Age-Related Macular Degeneration (nAMD).
How does the partnership with WELL Health benefit the AI technology?
The partnership provides exclusive strategic access to over 30,000 consenting clinicians and the largest medical clinic network in Canada. This allows HEALWELL to continually refine its algorithms using high-quality clinical data.
What are the primary segments within the HEALWELL AI ecosystem?
The ecosystem is divided into AI & Data Science, which focuses on screening and real-world evidence, and Healthcare Software, which handles EHR platforms and data management.
Does HEALWELL AI work with pharmaceutical companies?
Yes, HEALWELL currently generates revenue and proven results from 7 of the top 10 global pharmaceutical companies by providing clinical research and real-world evidence services.
Job Opportunities
Clinical Research Recruiter
Identify rare and chronic diseases earlier and improve patient outcomes using AI-powered clinical decision support tools designed for health systems and physicians.
Education Requirements:
Undergraduate degree in sciences or equivalent
Experience Requirements:
1 - 2 years’ experience in a customer service environment and/or call center
1-year work experience in a CRO an asset
Previous sales experience preferred
Other Requirements:
Strong organizing and planning skills
Excellent interpersonal and public relation skills
Proficiency in English
Proficient in Microsoft Word and Microsoft Excel
Responsibilities:
Conduct telephone eligibility screening of potential English-speaking volunteers
Review screening criteria and provide study overviews
Capture medical and medication history of volunteers
Book appointments for potential volunteers for onsite screening
Daily data entry and maintenance of electronic volunteer files
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Clinical Data Specialist
Identify rare and chronic diseases earlier and improve patient outcomes using AI-powered clinical decision support tools designed for health systems and physicians.
Education Requirements:
BA or BS with a science or related background
Experience Requirements:
Experience in data entry or Data Management activities
Knowledge of clinical trial processes
Experience in ICH GCP and GCDMP (SCDM)
Other Requirements:
Understanding of database structures and database programming
Knowledge of CDISC standards (CDASH and SDTM)
Proficiency in MS Office and email applications
Strong analytical and problem solving skills
Responsibilities:
Setup, documentation, and implementation of clinical study databases
Contribute to development and testing of Phase I and BA/BE clinical study data
Review and contribute to protocols from a data management perspective
Design and review eCRFs according to study protocol
Create, review, and process data queries
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Clinical Specialist
Identify rare and chronic diseases earlier and improve patient outcomes using AI-powered clinical decision support tools designed for health systems and physicians.
Education Requirements:
MD or equivalent medical degree
Experience Requirements:
2-5+ years of experience in clinical practice, medical education, or medical affairs
Experience supporting or managing rare and/or complex chronic disease pathways
Other Requirements:
Strong communication and presentation skills
Fluency in English
Familiarity with clinical decision support tools or EMR-derived insights
French bilingualism is an asset
Responsibilities:
Support physicians managing patients through the Clinical Decision Support Platform
Provide education on disease states and diagnostic pathways
Facilitate case-based discussions to support interpretation of clinical signals
Manage an assigned portfolio of physician users with structured outreach
Develop disease-specific educational materials and resources
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