Artificial intelligence & Machine Learning
Artificial intelligence(AI), Natural Language Processing (NLP)
and Machine Learning (ML)
EHR2PHR DCT provides access to Artificial Intelligence (AI) and Machine Learning analysis, creating Real World Evidence (RWE) from data collected, transforming Decentralized Clinical Trials (DCTs) into Real-world trials.
Our platform leverages state-of-the-art, artificial intelligence (AI) by way of Natural Language processing (NLP) and Machine Learning (ML) to optimize clinical trial protocols for speed and efficiency
Why Artificial Intelligence (AI)
and Machine Learning (ML)?
- AI/ML can be leveraged to flag potential clinical errors or data entry errors in patient-level Real-World Data (RWD).
- AI/ML are ideal for the preparation, enrichment, and standardization of RWD.
- Artificial Intelligence boosts reliability and speed
- Machine learning gives you real insights on what makes a difference and impacts your goals AI can also help us determine which patients are more at risk for side effects, allowing us to exclude them from studies.
- AI allows us to train our models and then see how they perform
- Natural Language Processing (NLP) enables researchers to search unstructured databases
- AI can scan clinical trial data in literature in real time and give you a landscape view of how your trials are performing and evolving
- With AI and and ML, rich insights are gained
Predictive Care Analytics providers (AI and ML)
are connected with EHR2PHR DCT Platform,
using big data to spot warning signs and anomalies in patterns
so that preventive actions can be taken.
We de-identify clinical trial data.
We use Machine Learning algorithms to flag potential threats
We use automated algorithms and advanced predictive models to help identify potential molecular targets faster.
