Amazon Launches New Medical Record Language Processing Service

One of the most significant factors in extracting information from EHR record is the use ofnatural language processing (NLP) which I have referred to in a number of previous notes (see, for example:EMRs and the Data Entry Paradox; Same Concept Not Applicable in the LIS World;Assessing Drugs Using"Real World Evidence" in Addition to Clinical Trials;AI Allows Computers to"Read" EHR Records and Make Predictions). A recent article discussed why one should"care" about Amazon's new medical language processing service (see:Why Should You Care About Amazon's New Medical Language Processing Service). Below is an excerpt from it:Keeping track of your medical records can be a complex task....One of the significant challenges of handling medical records is that for each patient there is a variety of types of"notes" entered over time by health care professionals. These may include prescriptions, observation and administration of drugs and therapies, test results, x-rays, CT-scans, heart rate measured over months, surgical history, immunization history and family history. So the data type can be anything from a string, or a time-series data to an image or a very high definition video.The second challenge of handling data is accessibility.Although there is a generic set of rules in the US under Health Insurance Portability and Accountability Act (HIPAA) governing access to medical records, that states that the patient and the healt...
Source: Lab Soft News - Category: Laboratory Medicine Authors: Tags: Computer Security Electronic Health Record (EHR) Healthcare Information Technology Healthcare Innovations Lab Information Lab Regulation Medical Research Medicolegal Issues Predictive Analytics Source Type: blogs