Making effective use of available data. And prioritizing!
Healthcare is a business. A business with a huge, important task: to provide quality care to patients, while also dealing with ever higher patient loads and facing their own increasing physician burnout rates. Clinicians are faced with both administrative and clinical priorities - some of which conflict. So how do you prioritize what should come first? Like the old adage “which came first: the chicken or the egg?”, one can’t exist without the other. The provider can’t exist if the healthcare establishment goes bankrupt - and the healthcare business is nothing if it doesn’t have providers. Data and technology are potential ways to help ease this burden on clinicians and provider teams, enabling them to understand their patients better and streamline access to payer approvals.
Five ways natural language processing can help healthcare providers
You may be aware of Natural Language Processing (NLP) and its potential to augment the intelligence of the clinical workforce. Below we list just a few areas where NLP technology can help improve patient care while reducing administrative and reporting burdens: