The healthcare sector possesses unique characteristics when it comes to engaging with individuals who are not just clients, but also patients seeking a positive experience and transparent communication with healthcare providers, including doctors, nurses, and other professionals.

While it’s important to be careful when introducing new technologies that might depersonalize the patient experience, technology can also play a beneficial role in healthcare by enhancing treatment methods and medical processes. Administrative and logistical operations are also gradually being modernized through the adoption of new technologies, with the goal of liberating healthcare professionals to focus on more critical tasks.

Next, we will present some key use cases already being implemented by decision-makers in the healthcare sector.

• Medical Screening and Patient Support

Conversational AI can prioritize patients according to their symptoms and redirect them to the proper treatment. They lead the patient through a series of questions and allow them to explain the symptoms to detect the case’s priority.

But, for less severe cases, the AI bot can provide alternative support, such as directing patients to helpful articles or suggesting appointments for further evaluation.

Conversational AI can also detect speech patterns and offer alternative terms for medical jargon, making medical training more flexible and providing patients with faster and more effective responses.

• Appointment Scheduling

Conversational AI makes it easy for patients to schedule appointments by guiding patients through the process using real-time available data. Artificial Intelligence can also recommend the best specialist doctors located near the patient.

With this option, medical staff can focus on more critical and urgent tasks, as administrative tasks are automated, freeing up resources in clinical and hospital settings.

• Patient Engagement and Personalized Treatment

Conversational technologies are transforming the patient journey by adding new touchpoints that do not necessarily involve patients traveling to a hospital or clinical.

Automated tools enable hospitals and clinics to follow up with patients, monitor their health, and send reminders about check-ups and medications, making post-care treatment easier and potentially reducing incidents and relapses through patient alerts.

Besides, the data collected through interactions between the bot and the patient is a source to help doctors make better decisions that improve the patient experience.

• Internal Coordination

Conversational AI can also improve internal coordination among medical teams, saving time and reducing interdependence. Doctors and other medical staff can access patient information such as lab reports, prescribe details, and upcoming appointments by querying the bot. This streamlines information retrieval and improves coordination among team members, ultimately leading to better patient experiences.

• Information Dissemination

Conversational tools can play a crucial role in disseminating diverse health-related information to the community, including important behaviors and guidelines to be followed in certain situations. Providing this information in a more accessible way helps combat misinformation and contributes to public health, particularly during event like the COVID-19 pandemic.

The use of Conversational AI in healthcare is wide and can take many forms, as seen in the use cases examples above. These use cases demonstrate the potential of conversational AI to improve healthcare processes, enhance patient experiences, and benefit both patients and healthcare providers.

Conversational AI offers numerous benefits for both healthcare providers and patients. Health providers, such as doctors, nurses, and other staff, are no longer distracted by repetitive tasks and low-value queries. Instead, they can focus their time on critical jobs and provide patients with the best treatment possible.

Conversational tools powered by AI also helps to reduce hospital waiting times, unnecessary treatments, and connect patients with the appropriate healthcare providers. Patients themselves find it easier to understand their condition and the treatment they need to follow, giving them more autonomy in managing their health.

Moreover, Conversational AI leads to significant costs savings and simplifies the patient journey, making it easier for patients to navigate their healthcare experience and understand their health issues.

During the global pandemic, hospitals and governments prioritized mobilizing human resources to combat the spread of the virus. However, it was also important to streamline administrative and logistical processes alongside this effort.

The adoption of new technologies, including Conversational AI, aimed to support healthcare stakeholders in administrative and logistical functions, allowing them to focus on patient care and community support.

One example of this is the use of Conversational AI in medical public call centers. Bots were built to screen patients and construct medical inquires to identify potential COVID-19 cases and direct them to the appropriate human assistant. This is a practical use case that highlights the advantages of adopting Conversational AI in healthcare settings.

BOTSchool has the power to make a difference in the healthcare sector. Our platform offers features that can help automate processes and simplify operations. You can know more about how we can help by reading our use cases on appointment scheduling. But, don’t lose the opportunity to contact us to understand how BOTSchool has been a valuable ally in the public healthcare sector in recent years.