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What is Lexigram?
Lexigram is an AI-driven platform that aims to enhance healthcare providers' understanding of their patients' medical conditions and facilitate more informed decision-making. By granting clinicians access to comprehensive patient data, such as medical history, lab results, and medications, Lexigram enables them to make better care decisions. The platform's advanced analytics engine analyzes this data and generates valuable insights that can improve clinical decision-making. With real-time access to accurate and relevant information, clinicians can make more precise care decisions, ultimately leading to improved patient outcomes. Additionally, Lexigram is user-friendly, allowing clinicians to quickly retrieve the necessary information when they need it. This powerful tool empowers healthcare providers to deliver the best possible care to their patients.
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Lexigram FQA
- What can Lexigram do?
- How does Lexigram extract clinical concepts?
- What codes are associated with diabetes?
- What opiate-derived drugs can Lexigram aggregate?
- How long have you been in pain?
Lexigram Use Cases
Extract clinical concepts from unstructured text
Find out which codes are associated with a clinical concept
Aggregate a list of opiate-derived drugs
Power realtime chat applications
Dermatome can be a surgical instrument or an area of skin supplied by a single spinal nerve. Luckily, Lexigram understands context.
All of Lexigram's technology is built on top of our proprietary knowledge graph that surfaces clinical entities such as drugs, diseases, symptoms and allows you to explore their dynamic relationships.
Lexigram provides users with a simple, easy-to-use interface for extracting targeted information from the patient record while preserving the rich contextual data that doctors work so hard to capture.
You face significant challenges and hunting for quality data sources, choosing which ontology to use, and parsing faxed documents and PDFs are the last things you should be worrying about. Let Lexigram handle it.
API stands for Application Program Interface and it is a way that two computer applications can communicate and interact without understanding their respective inner workings. You can think of APIs as analogous to an electric wall socket.
A medical knowledge graph is a particular type of knowledge base that organizes itself around the relationship between the nodes or entities that make up the graph. Articulating this data as a graph allows for the use of graph-based approaches to querying and working with the data.
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