The field of medicine is rapidly changing, with new technologies like Artificial Intelligence (AI) tools being used more extensively. From assisting during surgeries to streamlining back-office workflows, there are countless opportunities where AI can be deployed to enhance patient experience and elevate overall care. According to a recent report, 59% of respondents believe AI to have the highest impact on the quality and outcomes of care today.

As the pandemic and increasing patient demands have brought greater challenges to healthcare workers, AI is emerging as a transformative solution in improving healthcare delivery. Here’s a look at how AI is helping healthcare organizations enhance patient satisfaction:

Manage Administrative Activities

Administrative tasks like documentation, patient flows can be difficult due to complex procedures, and the hassles during admission and discharge processes can reduce patient satisfaction. Here, AI-enabled technologies can assist in keeping the back-end running smoothly to ensure the entire patient healthcare journey provides a positive experience. For instance, Natural Language Processing (NLP), a branch of AI, can assist patients and practitioners with prompt filling of medical fields and reduce discord during data entry. Optimizing nurse scheduling using AI algorithms can also help organize and streamline staff.

Ease Virtual Healthcare

The use and demand for telehealth have risen due to the pandemic. AI-enabled virtual assistants help make virtual healthcare convenient, save time and expenses. With patients demanding immediate medical information, AI assistants can help resolve patient queries speedily and accurately. Virtual assistant tools can seamlessly provide information related to diagnosis, treatment, recovery experiences, and even schedule visits. The real-time data provided by AI algorithms can help practitioners be well-informed and prepared for virtual visits. The tool can further act as a data repository device to store patient information, which can help during follow-up visits.

Aid in Diagnosis and Clinical Decision-Making

AI/ML can help identify red flags where a doctor may miss. Doctors can also train machines to improve efficiencies and improve learning. Further, AI-enabled technology for diagnosis can provide doctors with tools for efficient diagnosis and help patients make well-informed decisions.

Automate Pharmaceutical Tasks

Medication errors can pose a significant risk to patients’ health and, in turn, lead to legal troubles for providers. Robots powered by ML algorithms can work with accuracy, fill orders and ensure maximum patient safety. Additionally, the automated pharmacy can ensure the continuous availability of medicines and, when not available, contact vendors for further assistance.

Enhance Financial Interactions

Financial interactions account for a significant part of the patient experience, and improving this can significantly impact the overall patient experience. AI tools can be used to analyze historical process data such as medical bills, claims, etc., and help to improve resource specialization and operational efficiencies. Payers are now increasingly adopting AI to detect anomalies, claim fraud, and even predict potential claim denials.

Improve Patient Sentiment Analysis

Many healthcare organizations are using a patient satisfaction survey to measure and improve overall experiences. A positive patient experience is key to improving business outcomes and maintaining a healthy relationship with patients. Sentiment analysis, also known as opinion mining, identifies patients’ emotions, mindsets, and opinions of their experience using the patient’s feedback. This helps providers and payers to identify their strengths, weaknesses and, in turn, enhance the overall patient experience. NLP and ML algorithms can help assign emotions to comments from surveys. For instance, ‘the discharge process took a long time will be dark red which signals the patient’s emotion as angry, whereas ‘the doctor was helpful’ will be green which indicates the patient’s emotion as happy. This data, measured and analyzed over time, can also help improve processes.

AI/ML is evolving and solving more and more problems within the healthcare industry. With the increasing development and deployment of the technology, AI will have a lasting impact on improving the patient and provider relationships, streamlining processes, reducing time and effort, and improving the overall patient experience.

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