Healthcare Language Processing, Language Interpretation, Digital Transcription, and Language Processing Solution Resources Healthcare Language Processing, Language Interpretation, Digital Transcription, and Language Processing Solution Resources


  • 4 Ways AI Is The Future Of Hospitals

    Hospitals are often caught in a tug-of-war choosing between time-tested methods and the razor’s edge of new research when it comes to adopting new treatments, processes, and technology. Venturing into the uncharted waters of advanced technologies and innovative techniques can be unsettling, but the payoff for hospital systems and patients can lead to improved patient experience, quality, and outcomes.

  • Improving Patient Outcomes & Driving Revenue In An Era Of Value-Based Care

    Healthcare costs per capita in the United States are increasing at an alarming rate. Overall spending reached $3.8 trillion in 2019. Between $760-$935 billion of the overall cost of healthcare is attributed to waste, overtreatment, low-value care, and failure of care coordination.

  • Changed For The Better: A Shared Digital Communication Solution

    Fortunately for humans, we’re masters at adaptation. Whether it’s encountering different climates, environments, cultures, or even pandemics, homo sapiens have a knack for being able to deal with just about anything that Mother Nature throws at us. Though cultural anthropology dubs this ability to acclimate “biological plasticity,” actor Clint Eastwood, as a Marine in a 1980s war film, puts it more succinctly: “You adapt. You overcome. You improvise.”

  • Consumer-Oriented Patients Expect A Better Technology Experience

    Feeling much like an Olympic gymnast’s acrobatic routine, patients’ healthcare experience over the past 18 months has endured a dizzying series of twists, turns, and somersaults—albeit without the benefit of Dramamine. Patients found themselves caught up in COVID-induced disruptions and often didn’t know if or when they could safely access care. Thankfully now, things are returning to some semblance of normalcy as the vaccine proliferates and cases plunge.



  • Is Big Data Fueling Breaches?

    Data breaches continue to dominate healthcare headlines, leading one to wonder if the unprecedented growth of Big Data is to blame? Health Data Consortium CEO Chris Boone shares his thoughts on this subject and more.


Natural Language Processing (NLP) in healthcare is the processing of text with computer applications. NLP promises to reduce costs and improve quality for healthcare providers. With NLP, medical coding, records transcription, and clinical documentation processes can be significantly improved by limiting the number of employees required to perform these tasks and reducing the time it would normally require to input data manually.

NLP is designed to turn unstructured free text into structured values. NLP will ideally be able to assist physicians at the point of care, by offering them answers to questions based on the current set of records and information the system has available. IBM's Watson was one of the first largely-public displays of NLP when it appeared on Jeopardy, showing the world the potential of natural language processing by computers.

The advanced ICD-10 coding system has helped make a stronger case for NLP. The system's complexity in terms of the large range of codes available for each digit is something that could be completed programmatically. With NLP, computers will interpret notes and diagnoses from physicians and provide the proper codes. Similarly, another application of NLP is in EHR systems, where doctor's free-text notes can be taken, processed, and filled into the structured forms required by EHR systems.


  • Will Robots Replace Healthcare Providers?

    Automation has been making human workers superfluous for centuries, but until recently, workers whose jobs required high-level cognitive skills have been able to rest easy, confident no machine could possibly replace them when it came to making nuanced decisions based on the evaluation of complicated, sometimes contradictory data. By Khal Rai, Senior Vice President, Product Development & Operations, SRS Health