Data is now a vital part of the healthcare industry, and structured data alone will not be sufficient for better member outcomes. However, much of it is still inaccessible to analysts and experts, as precious information hidden within electronic health records (EHRs). Natural Language Processing (NLP) technology can unearth the 80% of unstructured information stored within the electronic health record.
NLP provides deeper, vital insights into members
NLP can help us to bring valuable missing pieces of information to the surface to cover risk and monitor patient’s health more closely. Disease severity is just one of those areas - for example cancer stage, is critical for proper member management, but the information isn’t always available consistently in structured claims, but is included in the unstructured data. Claims data gives a lot of detailed structured information about the individual, such as their medications, diseases they're suffering from, as well as procedures and treatments that they've had, but that only provides part of the full member picture.