Physician burnout is one of the major problems faced by healthcare providers. They are overburdened using software systems, documenting, managing operational tasks and of course offering care to the patient. The 2021 Internet of Healthcare Report revealed that 92% of clinicians experience burnout due to time spent on daily administrative tasks. This is where Artificial Intelligence (AI) technology comes in to take control of office workflow by streamlining administrative tasks, ultimately keeping clinicians satisfied.
What is Artificial Intelligence in the healthcare industry?
AI technology in healthcare is the use of machine learning and algorithms in medical settings. The power of Artificial Intelligence helps to analyze data, and automate and predict processes. Some examples of AI in healthcare include chatbots, virtual nursing assistants, precision medicine, and robotic surgeries. Artificial intelligence also assists with Electronic Medical Records (EMR) Software data organization to help reduce the chances of burnout.
Applications of AI in healthcare workflows
- Denial Management – By leveraging Artificial Intelligence (AI) technology hospitals can experience efficient denial management. AI can identify any issues with claim submission and check the reimbursement process. This can reduce the issue of denied claims which can cost billions of dollars every year.
- Scribes – Medical assistants and AI scribes can help reduce additional pressure on the physician so they can spend more time offering high-quality care. AI chatbots and social media automation can improve the patient experience and even make way for better health outcome levels.
- The Scheduling Process – Artificial Intelligence is enhancing the appointment booking process for patients and physicians. Through AI, patients can easily schedule, cancel and reschedule their appointments. Waitlists auto-fill cancellations and open appointment spots. The reminder alert capability helps to combat the issue of no-shows and improves practice revenue.
- Streamlining clinical note-taking – Almost 50% of clinician time is spent on administrative tasks such as documentation, order entry, and billing tasks according to a study by the American Medical Association (AMA). This leads to provider dissatisfaction and can hinder the patient care process. The use of natural language processing (NLP) automates the documentation process. This saves up time so clinicians can focus on the patient and also improves work-life balance.
- Easy Access to Patient Information – Many EHR software vendors are using AI in the software technology to help clinicians have automated and quick access to patient information with maximum accuracy. EMR vendor athenahealth offers AI-powered cloud-based EHR which can review clinical notes and extract data.
The future of healthcare Artificial Intelligence
Healthcare organizations want software vendors to use AI capabilities to make the Electronic Medical Records Software efficient offering better opportunities to medical facilities. Some EHR software vendors are also joining hands with technology firms to enhance the integration of AI tools. Artificial Intelligence technology has helped to streamline daily workflows to reduce physician burnout leading to better patient care.
