Speech-recognition AI software improves basic processes in a variety of occupations, including restaurateur, reporterand any employed customer service organization automatic call centerFor the healthcare industry, voice-recognition AI in examination rooms has transformed from a mere convenience to a pressing need.
Even before the Covid-19 pandemic arrived in the U.S., and with it “Big resignation” swept the medical industryburn out is a growing problem between doctors and other providers. Their work requires prolonged, productive interactions with an increasing number of patients. In addition to being beneficial to the natural environment, electronic medical record (EMR) systems like Epic make patient record-keeping better. But these benefits come at a price.
As paper records are phased out, healthcare providers are burdened with updating each patient’s EMR, requiring rigorous note-taking. This creates a conundrum: when are the notes recorded into the EMR system? Providers can enter notes directly into a computer during a patient visit, or mentally take notes and subsequently update the patient’s electronic medical record. As such, electronic medical record technology often increases the time burden on physicians and may impose a financial burden on the hospital itself. With limited face-to-face time, patients and providers may focus on one issue during each visit, ignoring any smaller medical concerns. Those lesser concerns may go away, or they may become large—in which case early intervention may prevent costly clinical care and in-person visits in the future.
The unprecedented pressure Covid-19 has placed on the U.S. healthcare system has exacerbated many of these pre-existing problems. A Michigan health system developed a pilot program in fall 2021 to use a speech-recognition AI tool called Dragon Ambient, or DAX, to address the EMR dilemma head-on. The technology’s promise is twofold: restoring the intimacy of doctor-patient interactions and saving providers time spent updating EMRs.
DAX involves a smartphone app that is located in the exam room or anywhere near the provider and patient. The speech recognition tool is activated at the push of a button. Each word visited is then recorded and transcribed. nuance, the parent company of DAX, employs a human proofreader to control the quality of transcriptions. Over time, the AI software effectively “learned” how to better transcribe individual speakers based on the proofreader’s corrections.
The result is a safe, reliable and accurate tool that delivers on the promise of saving time and restoring intimacy with the testing room. By recording and transcribing the entire content of a patient visit in a way that handwritten notes cannot (offline or in EMR), the burden on healthcare providers can be reduced. Someone noticed that the documentation dropped by 31 minutes per day. Another vendor saw an average reduction in documentation time of 5 minutes per appointment. By giving patients more leeway to express their full range of medical concerns, both patients and providers may incur fewer costs in the future.
Since the initial pilot program involved 13 providers, the health system has reached 150 providers using DAX. Feedback on both sides was overwhelmingly positive, with both patients and providers reporting that their interactions seemed less transactional.
In this way, voice recognition AI software has the potential to become a rare smartphone application. encourage face-to-face interaction. Its early results suggest the technology could be a game-changer for the tech-hungry healthcare industry, boosting morale in the short term while potentially saving money in the future.
Photo: berya113, Getty Images
