Beyond Boundaries: The Promise Of Conversational AI In Healthcare

It is suitable to deliver general healthcare knowledge, including information about medical conditions, medications, treatment options, and preventive measures. Besides, it can collect and analyze data from wearable devices or other sources to monitor users’ health parameters, such as heart rate or blood pressure, and provide relevant feedback or alerts. chatbot use cases in healthcare In conclusion, while the chatbot technology is not new, we discussed how its potential can be extended with IoTs and knowledge graphs. We further illustrated the possible health services a chatbot can intervene using three disease-specific use cases. These diverse potentials hold prodigious promising for a close future of promoted healthcare approach.

• Our assessment indicated that only a few apps use machine learning and natural language processing approaches, despite such marketing claims.
• By using SalesIQ specifically, patients can initiate conversation in an all-in-one live chatbot platform.
• With the rapidly increasing applications of chatbots in health care, this section will explore several areas of development and innovation in cancer care.

We focus on a single chatbot category used in the area of self-care or that precedes contact with a nurse or doctor. These chatbots are variously called dialog agents, conversational agents, interactive agents, virtual agents, virtual humans or virtual assistants (Abd-Alrazaq et al. 2020; Palanica et al. 2019). For instance, in the case of a digital health tool called Buoy or the chatbot platform Omaolo, users enter their symptoms and receive recommendations for care options.

Search strategy

This enables more efficient utilization of available vaccines, reduces wait times in vaccine centers, and allows users to easily find available appointments. The final use case, proactive monitoring (3 cases), involves proactively monitoring at-risk populations, such as the elderly,28–31 by checking whether users are experiencing symptoms or have been exposed to the virus. Unlike disease surveillance chatbots where the user initiates the interaction, these chatbots initiate contact with the users and ask questions about symptoms.

• They could also be thought of as decision aids that deliver regular feedback on disease progression and treatment reactions to help clinicians better understand individual conditions.
• The first chatbot was designed for individuals with psychological issues [9]; however, they continue to be used for emotional support and psychiatric counseling with their ability to express sympathy and empathy [81].
• The industry will flourish as more messaging bots become deeply integrated into healthcare systems.
• For the output modality, or how the chatbot interacts with the user, all accessible apps had a text-based interface (98%), with five apps (6%) also allowing spoken/verbal output, and six apps (8%) supporting visual output.

Additionally, such bots also play an important role in providing counselling and social support to individuals who might suffer from conditions that may be stigmatized or have a shortage of skilled healthcare providers. Many of the apps reviewed were focused on mental health, as was seen in other reviews of health chatbots9,27,30,33. The first challenge for developing personal health agent is the need to contextualize and personalize healthcare treatments and decisions.

HR Chatbot Use Cases

This enables them to make better decisions about what treatment options they should take while also giving them a better understanding of what is happening with each patient’s overall health situation to provide better healthcare. Extending with IoTs such as pill’s bottle sensor, the chatbot can be made smarter to remind and nudge patient of timely medication intake as well as adherence to clinician prescribed management plan. By incorporating background geospatial and gazetteers knowledge sources, it is also feasible to coordinate and arrange transportation service for elderly with physical disabilities and transportation barriers, especially in congested cities. As we navigate the evolving landscape of healthcare, the integration of AI-driven chatbots marks a significant leap forward.