Linguamatics NLP text mining software, I2E, has a number of modules already set up for you to automatically read documentation e.g. clinical notes, and rapidly extract relevant elements into discrete values for analysis.
Want to know how? We will be exhibiting at HIMSS 2019! Find us at booth #5744 where Linguamatics Healthcare specialists Simon Beaulah, Senior Director of Healthcare; Jacqueline Macia, Director of South East Sales; Elizabeth Marshcall, M.D, M.B.A, Director of Clinical Analytics and Kathleen Nogueira, Healthcare Application Specialist will be demonstrating our NLP software using pathology reports, radiology reports, clinical notes and more to show the types of insights you can easily get from your data.
Use case examples:
Manually extracting cancer insights is time consuming. To get valuable information from pathology reports, radiology systems and other clinical documentation, clinicians typically have to allocate significant time to read extensive documentation per patient.
Linguamatics Pathology NLP module helps healthcare teams quickly identify and better characterize the specifics of a person’s cancer that are trapped in pathology reports - speeding their decisions on the best treatment options, and building a database of cancer insights.
Social Determinants of Health:
A huge amount of detail on your patients is trapped in descriptive clinical notes. One example is social determinants of health. To extract the information from the EHR around a patient’s ambulatory status, social isolation or food insecurity is time consuming or just not done.
Linguamatics Social Determinants of Health NLP module quickly extracts insights from clinical notes such as a person’s ambulatory status, social isolation, or food insecurity. Social determinants can provide major insights into predicting 30-day readmission, medication adherence and long-term wellness and are a vital part of population health analytics
Please contact us if you are interested in setting up a meeting at HIMSS19.