Healthcare Data Is Complex.
Structuring It Isn't... Anymore.
Healthcare Data Is Complex.
Structuring It Isn't... Anymore.
Extract clinical concepts from unstructured text
The patient is a 60 year old male suffering from hypertension, diabetes, and depression.
- Gender:
- male
- Age:
- 60
- Conditions
- hypertension
- diabetes
- depression
Dermatome can be a surgical instrument or an area of skin supplied by a single spinal nerve. Luckily, Lexigram understands context.
Lexigraph
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.
Data Extraction
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.
Why Lexigram?
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.
Lexipedia
What is an API?
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.
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What is a medical knowledge graph?
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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Big Data in Medicine
If machine learning is the process by which machines can be taught, then big data is the instructor that provides the materials. Machine learning algorithms need large quantities of data to function properly and advances in storage capacity, network communications, information-sensing devices, digital cameras, and mobile devices have expanded the volume and variety of data that we have available to work with.
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What is medical or clinical NLP?
Natural language processing, or NLP, is a computing technique which parses and makes sense of written language. Normal NLP is used to analyze text to determine its meaning, enabling computer applications that can communicate effectively with humans. Clinical NLP is a specialization of NLP that allows computers to understand the rich meaning that lies behind a doctor’s written analysis of a patient.
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What is unstructured data?
Unstructured data is anything that does not have a schema or other form of data model. An easy way to think about it is that unstructured data is anything that cannot be broken down to fit into a spreadsheet, database, or other tabular data store. This makes unstructured data unusable for computing applications without some form of data processing.
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Predictive Analytics
One of the tasks that machine learning can be tuned for is trying to predict an outcome using a set of known information. For example, predictive models are often employed to predict the likelihood that someone who is being discharged from a hospital stay is going to come back within 30 days for the same problem.
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What is medical machine learning?
Machine learning is a computing process where large amounts of data are aggregated and analyzed in order to “teach” a computer application to do something without having to explicitly program that behaviour.
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EHR Integration
Electronic health record systems, also called EHRs, are the source of truth for data associated with the delivery of patient care. As such, anyone wanting to build tools for health providers and administrators that rely on accessing patient data or updating clinicians as they do their day-to-date work need to connect to these systems to pull (read) and push (write) data.
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What is the UMLS?
The Unified Medical Language System, or UMLS, is a project run by the National Library of Medicine that aggregates many of the common knowledge bases used in medicine. It provides a unique set of identifiers for the concepts in these terminologies in an attempt to create a unified view of the disparate medical knowledge bases.
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Security Standards in Healthcare
The information that health providers, technology vendors, and others who manage data for patients are responsible for is highly sensitive. Health data managers have an obligation to make sure that the data they handle is protected due to hacking, carelessness, or accidentally providing unauthorized access.
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Healthcare Analytics
Healthcare companies, whether they be providers, payers, or vendors, are amassing data about patients, clinicians, claims, and financials. Making sense of this enormous and diffuse data set requires specialized healthcare analytics tools that are built to handle the specific needs of healthcare.
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What is a medical knowledge base?
A medical knowledge base is a set of structured pieces of information about medicine, sometimes referred to as “facts”. There are formal, complex knowledge bases that help to drive computing applications, but you may have seen a more common version in use when you visit the customer service section at your favorite online retailer’s website.
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What is a medical terminology, taxonomy, or ontology?
A medical terminology is a collection of terms that are used in the field of medicine, or in a particular sub-domain, subject, or specialty. A medical terminology can be structured in many different ways, including the following:
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Telemedicine and Telehealth
Telemedicine is a model for delivering patient care that utilizes telecommunications to provide remote access to clinicians. Telemedicine started as a way for doctors to collaborate on a patient’s care remotely, but the advent of the internet and mobile devices has allowed telemedicine expand to include video calls directly from a patient to a remote doctor or patients using their phone to upload photos as a part of a dermatology consultation.
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