Artificial intelligence (AI) is a going to be a key player in the healthcare sector and it is impacting many aspects of care delivery, from provider decision making to patient communication.
Communication often isn’t prioritized in medical training, so most of the clinical staff struggle while discussing treatment process with patients and their families. AI can evaluate how well clinicians communicate and give them detailed advice for improving their skills and techniques. Using recordings from patient previous visits, AI can point out the strengths and weaknesses in each interaction, and offer suggestions for improvement.
Three ways artificial intelligence can analyze conversations to help providers communicate more effectively with their patients
Analysis of words
AI analyzes the word choice and phrasing in conversations between providers and patients. With this technology, providers will receive feedback on how well patients understood them. AI will zero in on excessive use of terminology and offers diagnostic suggestions.
Using turn-taking analysis, providers can understand whether they’re holding a meaningful conversation for patients and their families to raise concerns they may have. Patients may feel uncomfortable discussing their care if they are not given space to talk and even feel less inclined to follow their treatment plan post-discharge.
Analysis of tone
Advanced AI analysis can analyze differences in patients’ tone that typically happen in times of distress. This crucial information can provide a unique insight into a patient’s health condition. Pointing this out to a provider can prompt additional questions to evaluate a patient’s mental health.
AI technology can boost a hospital brand presence by providing improved patient care, increased online visibility, and 24/7 availability.