3. Benefits of chat-bot in mental
health
Increase Customer Engagement.
Improve Lead Generation.
Reduce Customer Service Costs.
Monitor Consumer Data to Gain Insights.
Devise a Conversational Marketing Strategy.
Balance Automation with Human Touch.
4. How AI can help mental health
Artificial Intelligence (AI) may detect behavioral signs of anxiety with
over 90% accuracy. Motion sensors were able to detect such anxiety
symptoms as nail-biting, knuckle cracking, hand tapping, etc. AI
technology may offer innovative opportunities to improve outcomes
regarding mental health.
5. How is Artificial Intelligence
improving the quality of healthcare
service to patients
AI is able to analyze large amounts of data stored by healthcare organizations in
the form of images, clinical research trials and medical claims, and can identify
patterns and insights often undetectable by manual human skill sets.
6. How can AI in healthcare impact
the future
AI can add value by either automating or augmenting the work of
clinicians and staff. Many repetitive tasks will become fully automated,
and we can also use AI as a tool to help health professionals perform
better at their jobs and improve outcomes for patients.
7. Improving patient satisfaction
By allowing patients to get instant answers at the first point of contact,
providing simplified and timely appointments and following up on patients
after the visit, healthcare chatbots not only provide satisfaction with the
whole healthcare experience, but may allow physicians to spend more time
with their patients.
8. Advantages
Increase Customer Engagement.
Improve Lead Generation.
Reduce Customer Service Costs.
Monitor Consumer Data to Gain Insights.
Devise a Conversational Marketing Strategy.
Balance Automation with Human Touch.
10. Conclusions
Despite the many difficulties in identifying the complexities of chatbot use
in healthcare, efforts must be made to approach this area both ethically
and professionally, rather than from the viewpoint of business. “Chat-0bots
have the potential to be integrated into clinical practice by working
alongside health practitioners to reduce costs, refine workflow efficiencies,
and improve patient outcomes.”