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Reimagining Medical Diagnosis with Chatbots

4 minutes, 51 seconds read

Chatbots are rapidly gaining popularity in the healthcare sector. According to research conducted by Grand View Research, the global chatbot market is expected to reach $1.23 billion by 2025 growing at a CAGR of 24.3%. The current COVID pandemic has caused a lot of stress in the healthcare sector, with hospitals getting swamped with COVID-19 patients and also handling regular consults. 

This has made medical chatbots very attractive, helping in scheduling appointments, custom support, symptom checks, providing nutrition and wellness information, mental therapy, etc. Let’s take a look at how chatbots are transforming the digital transformation in the healthcare sector.

The shift to Medical Chatbots and Telemedicine

Lockdowns and social distancing due to COVID-19 gave a significant boost to digital business models. Organizations had to find ways to keep up the operations, make business continuity plans, and engage the workforce working remotely. Even healthcare providers took to technology such as telemedicine, chatbots, and remote monitoring equipment for patients who were not able to visit doctors in person. 

Many hospitals had been trying to implement telemedicine over the last couple of years, at least for ailments that can do without in-person diagnosis and can be cured by prescribing medicines based on symptoms told by the patient. COVID-19 gave that extra push for telemedicine. 

Another tendency that people have these days is to search for information on Google for self-diagnosis. However, that may not be effective. Therefore, many people are turning towards healthcare chatbots for medical information. 

Multilingual AI chatbot with video for diagnostic services – Hitee.chat

The Role of Chatbots in Medical Diagnosis 

The entire experience from admission to discharge is one of the key differentiators for patients while choosing a healthcare provider. People want quicker services and instant answers to their queries. 

With the coronavirus outbreak, hospitals and clinics are facing additional pressure. It has created a dire need for technology such as medical chatbots to provide better patient experience. 

Currently, there are some chatbots that leverage AI and machine learning to provide diagnoses by using algorithms to run the responses through a database of medical literature available. Let’s take a look at possible situations where chatbots play a crucial role in diagnostics-

  • Reliability: Instead of using a search engine to find answers, people will find chatbots more reliable for medical information. They need to be backed by legitimate medical databases to provide better accuracy.
  • Medical History: Chatbots cannot replace the role of a doctor while diagnosing but it can be of great assistance to them in providing medical history to better diagnose the health issue.
  • Triggering Attention: There are many symptom checking apps and bots available today which are widely used to check symptoms for possible diseases. Even with the nearest possible result in hand, it triggers the patient to a doctors’ visit if the symptoms seem grave. 
  • Support for Healthcare Workers: In case of mild diseases such as common cold, indigestion, minor wounds, etc. Chatbots are of great help as they reduce the workload of health workers who can focus on critical patients. 
  • Ensure Confidentiality: In some cases, patients may not be comfortable to open up to a doctor in person, but finds it easier to answer questions by a chatbot. Especially, when it comes to mental illness. 
  • Availability: Although rare, but there can be cases when medical help is not available physically such as during curfews or lockdowns. In such situations chatbots can be of great help for immediate medical support. 

Prevailing Challenges

Chatbots can provide basic medical information or do a cursory diagnosis of a health problem. However, the biggest challenge with diagnostic chatbots is the accuracy of the output. 

Research by the National Center for Biotechnology Information (NCBI) suggests that computer-based diagnostic support tools can be very beneficial to clinicians. But the effectiveness of 23 symptom checkers reported deficits and only 34% of standard patient evaluations were achieved in the first attempt. 

Unlike actual doctors, chatbots cannot feel the pulse, check the heartbeat or blood pressure, check the body part where the issue is, etc. Patients these days tend to self-diagnose quite often but they may not understand the diagnoses. 

Medical Chatbots can provide the information but can they explain it like a doctor as well? That would be debatable. Not everyone can understand medical jargon. Another issue is the risk of error in diagnosis. Too much dependency on the diagnosis can have steep consequences putting lives at risk. 

Redefining Chatbots in Medical Diagnosis

Currently, the chatbots function primarily through text while chatting with the patient. But in the coming future, it has a huge scope of improvement when combined with videos, images, voice recognition it will provide better information to the chatbot to provide better diagnoses. 

Medical diagnosis chatbot with video – Hitee.chat

Technologies like Natural Language Processing (NLP), machine learning, AI algorithms will enable better processing of the data and help clinicians with quicker diagnosis. It is possible to increase the capability of these chatbots through broader data and technologies. NLP integrated chatbots can also cater to specially-abled patients. 

More usage of diagnostic chatbots will make people take better care of their health. Indeed, there is scope for improvement for chatbots in medical diagnosis. But at the same time, reliability on them is also gradually increasing.

Down the Road

Chatbots in medical diagnosis can act as an aid to clinicians, reduce workload for healthcare workers, provide instant answers, and in some cases, it is a cheaper medium and lesser hassle than to visit a hospital. 

Bots have huge potential to streamline diagnosis. It won’t be a surprise to see chatbots be the first point of contact for medical help. 

We’ve introduced a multilingual AI-powered video chatbot for hospitals, private clinics, and diagnostic services. It can automate appointment bookings, checking symptoms, provide information, answer FAQs and more. You can write to us at hello@mantralabsglobal.com for your specific requirements.

Website: Hitee.chat

To know more about how HealthTech is reshaping the healthcare industry in bringing hospitals to a customer’s doorstep, watch our webinar on Digital Health Beyond COVID-19

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NPS in Insurance Claims: What Insurance Leaders Are Doing Differently

Claims are the moment of truth. Are you turning them into moments of loyalty?

In insurance, your app interface might win you downloads. Your pricing might drive conversions.
But it’s the claims experience that decides whether a customer stays—or leaves for good.

According to a survey by NPS Prism, promoters are 2.3 times more likely to renew their insurance policies than passives or detractors—highlighting the strong link between customer advocacy and retention.

NPS in insurance industry is a strong predictor of customer retention. Many insurers are now prioritizing NPS to improve their claims experience.

So, what are today’s high-NPS insurers doing differently? Spoiler: it’s not just about faster payouts.

We’ve worked with claims teams that had best-in-class automation—but still had low NPS. Why? Because the process felt like a black box.
Customers didn’t know where their claim stood. They weren’t sure what to do next. And when money was at stake, silence created anxiety and dissatisfaction.

Great customer experience (CX) in claims isn’t just about speed—it’s about giving customers a sense of control through clear communication and clarity.

The Traditional Claims Journey

  • Forms → Uploads → Phone calls → Waiting
  • No real-time updates
  • No guidance after claim initiation
  • Paper documents and email ping-pong

The result? Frustrated customers and overwhelmed call centers.

The CX Gap: It’s Not Just Speed—It’s Transparency

Customers don’t always expect instant decisions. What they want:

  • To know what’s happening with their claim
  • To understand what’s expected of them
  • To feel heard and supported during the process

How NPS Leaders Are Winning Loyalty with CX-Driven Claims and High NPS

Image Source: NPS Prism

1. Real-Time Status Updates

Transparency to the customer via mobile app, email, or WhatsApp—keeping them in the loop with clear milestones. 

2. Proactive Nudges

Auto-reminders, such as “upload your medical bill” or “submit police report,” help close matters much faster and avoid back-and-forth.

3. AI-Powered Document Uploads

Single-click scans with OCR + AI pull data instantly—no typing, no errors.

4. In-the-Moment Feedback Loops

Simple post-resolution surveys collect sentiment and alert on issues in real time.

For e.g., Lemonade uses emotional AI to detect customer sentiment during the claims process, enabling empathetic responses that boost satisfaction and trust.

Smart Nudges from Real-Time Journey Tracking

For a leading insurance firm, we mapped the entire in-app user journey—from buying or renewing a policy to initiating a claim or checking discounts. This helped identify exactly where users dropped off. Based on real-time activity, we triggered personalized notifications and offers—driving better engagement and claim completion rates.

Tech Enablement

  • Claims Orchestration Layer: Incorporates legacy systems, third-party tools, and front-end apps for a unified experience.
  • AI & ML Models: For document validation, fraud detection, and claim routing, sentiment analysis is used. Businesses utilizing emotional AI report a 25% increase in customer satisfaction and a 30% decrease in complaints, resulting in more personalized and empathetic interactions.
  • Self-Service Portals: Customers can check their status, update documents, and track payouts—all without making a phone call.

Business Impact

What do insurers gain from investing in CX?

A faster claim is good. But a fair, clear, and human one wins loyalty.

And companies that consistently track and act on CX metrics are better positioned to retain customers and build long-term loyalty.

At Mantra Labs, we help insurers build end-to-end, tech-enabled claims journeys that delight customers and drive operational efficiency.
From intelligent document processing to AI-led nudges, we design for empathy at scale.

Want a faster and more transparent claims experience?

Let’s design it together.
Talk to our insurance transformation team today.

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