How is AI Enhancing Patient Engagement Tools?
healthcaretechoutlook

How is AI Enhancing Patient Engagement Tools?

Healthcare Tech Outlook | Tuesday, November 02, 2021

Technologies like AI are eradicating the traditional patient engagement techniques to drive more personalized and engaging healthcare experience.

Fremont  CA: Recently, healthcare businesses have turned to artificial intelligence (AI)-based patient interaction solutions to provide a more personalized and easy healthcare experience. Providers and technology developers have worked to provide a tailored healthcare experience as the medical business strives to embrace the patient as a healthcare consumer. AI has shown to fill that need, assisting in the interpretation of patient data and demands, as well as the generation of action items that can best activate the patient.

Healthcare organizations are starting to respond to this demand by using AI, machine learning, and natural language processing (NLP) tools to help with not only medical operations but also patient engagement activities.

AUTOMATED COMMUNICATION WITH CHATBOTS

Chatbots have begun to emerge as critical technologies for facilitating care access. Consumers in the healthcare industry, like those in other service industries, expect medicine that is simple to obtain, seamless, and frictionless. They want it to be straightforward to schedule an appointment, get to their provider's offices, and engage in and control their own care. Medical providers have begun to use AI chatbots to help patients have a better experience. AI chatbots have recently been used by healthcare organizations and technology companies to sort through patients' clinical needs. The chatbot might be asked about some of the patient's symptoms and make treatment suggestions.

RISK ANALYSIS FOR PATIENT OUTREACH

The techniques, similar to the artificial intelligence utilized in symptom checkers, can also be used to improve patient outreach. Patients are contacted by healthcare organizations based on health data and critical risk factors. Patients who meet specified risk factors may be referred to social determinants of health services or receive information about chronic disease management strategies. However, combing through all of that patient data can be a difficult chore, leaving AI to help. Some companies are using the technology to risk stratify patients before sending automated patient outreach messages by text message, email, phone, or a mix of the three.

APPLICATION OF NLP IN PATIENT HEALTH LITERACY AND PATIENT PORTAL

Medical professionals have raised concern about patients understanding their patient portals and clinical notes as more patients obtain access to them. Those worries aren't completely unjustified. Because patient health literacy is often low, it may be difficult for a patient to understand their clinical notes. Natural language processing, which is a type of artificial intelligence, may be able to bridge the gap.

AI and similar technologies will grow increasingly significant as medicine gets more digitized—and as it responds to calls for increased personalization. Providers can use this technology not just to learn more about a patient’s health, but also to target therapies and outreach to increase patient involvement.

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