The use of AI in telehealth to empower doctors to make real-time, rich, data-driven decisions is a crucial aspect in delivering a better patient experience and improved health outcomes as providers move toward more virtual care alternatives across the care continuum. In a survey by MIT, 75% of healthcare organizations that adopted AI acknowledged an improved capacity to cure illnesses, and 4 in 5 claimed it actively assisted in preventing burnout at the job.
The following are some ways that telehealth and AI can work together to achieve these results. AI can search large datasets across thousands of patients with similar illness profiles from monitoring devices or medical telemetry products (including treatment protocols, side effects, etc.) to produce algorithmic patterns that can suggest potential next steps to the doctor instead of relying on two or three pieces of medical information (such as a medical history, an exam, and a lab test). The doctor can then make better use of this knowledge to improve patient care.
AI can help healthcare professionals by reducing the burden of administrative duties related to medical records using voice-activated technologies built on natural language processing technology. It is possible to automatically record and enter the visit note into the electronic health record.
Clinicians may be able to remotely monitor their patients' ECG, heartbeat, blood pressure, temperature, and other vital indicators thanks to telehealth software. Through predictive analytics and the establishment of monitoring thresholds, this combination with AI can enable the patient and physician to receive alerts about prospective health concerns that are personalized to the particular patient's needs. The effectiveness of the care given, the patient's experiences and health outcomes, and the physician's experiences can all be improved by this combination (less data fatigue and more proactive information).
The three main applications of AI in telehealth are intelligent diagnosis and support, remote patient monitoring, and information analysis and cooperation. Due to the ongoing public health crisis, healthcare executives are still under pressure to focus on AI and telehealth in order to remain competitive by improving physicians' workflows and releasing predictive potential through patient data analysis.