Services | INDUSTRIES
Healthcare & Pharma
In a world where data is the new oil, AI is the force that helps unlock its true value. Unidatalab empowers healthcare and pharmaceutical organizations to use AI's transformative power of AI and change patient care, research, and operations.
AI in healthcare and pharmaceuticals
75%
of top healthcare organizations are actively exploring generative AI technologies.
$360 billion
is the expected sum of savings from the AI deployment in US healthcare over the next 5 years.
$60-110 billion
is the potential value generative AI can bring to the pharmaceutical industry.
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Common industry challenges solved with AI
How can we help?
Propel patient engagement and communication
Conversational AI for patient support
Create AI chatbots and virtual assistants that offer patients 24/7 access to information, answer queries, schedule appointments, and monitor health conditions.
Speech AI for clinical documentation
Streamline clinical documentation by automatically transcribing doctor-patient conversations, reducing administrative burden and improving data accuracy.
Speech-to-text transcription for telehealth consultations
Enable accurate documentation and improve communication between patients and healthcare professionals with speech AI can transcribe conversations in real-time.
Speed up research and drug development
Automated experimental Documentation
Voice-to-text and natural language generation can be used to automatically document experimental procedures, observations, and findings.
Clinical trial recruitment
Develop voice-based screening tools to identify eligible participants for clinical trials, beef up recruitment, and reduce time-to-market for new therapies.
MLOps for model deployment
Lean on MLOps practices to guarantee efficient deployment, monitoring, and continuous improvement of AI models.
Support pharmacovigilance and drug safety
Real-World Evidence (RWE) generation
Utilize NLP and MLOps to extract insights from real-world data sources and understand drug effectiveness and safety in real-world settings.
Regulatory compliance and reporting
Develop NLP-powered tools to automate the extraction of relevant data from various sources and generate compliant regulatory reports.
Adverse event detection and analysis
Use NLP to analyze data from various sources to identify potential adverse drug events and safety signals.
Optimize operations and hone decision-making
Voice-activated assistants for healthcare professionals
Enable hands-free access to information, task management, and communication tools for healthcare providers.
Intelligent call centers
Deploy conversational AI to automate routine inquiries, triage calls, and provide personalized support to patients.
MLOps for CI/CD of clinical decision support systems
MLOps pipelines can automate the training, testing, and deployment of Machine Learning models used for clinical decision support.
Stories from healthcare
Our differentiation points
We understand that your data holds the key to groundbreaking discoveries and life-saving treatments. Our team of AI experts specializes in turning raw data into actionable insights.
Strong ties with academia
Our entire team has a rich academic background (including 4 PhDs and 3 Assistant Professors).
Dedicated and experienced engineering team
We built our own progressive rollout flow that allows us to deliver flawless risk-free solutions.
Easy integration of next generation AI technologies
We make sure your solutions are always at the forefront of innovation.
Proven track record of success
We have a demonstrated history of successful AI implementations within the healthcare and pharmaceutical sectors
End-to-end project management
Our team takes care of the integration of our solutions and manages the entire project life cycle from idea to production.
Commitment to ethical AI
We prioritize fairness, transparency, and accountability in all our AI solutions.
Ready to unlock the power of AI for your business?
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