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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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The Essence of User-Centered Design: A Dive into Fundamental Principles

In a digital world where user experience reigns supreme, crafting designs that resonate has become a mission. Enter User-Centered Design (UCD), a philosophy placing users at the core of the creative process. In this exploration, we’ll delve into the fundamental principles of User-Centered Design and understand why they are the keystones of successful interfaces.

User-Centered Design

Introduction:

Imagine navigating a website seamlessly, effortlessly finding what you need. That experience is no accident but the result of intentional design. User-centered design (UCD) is the compass guiding designers toward creating interfaces that users not only navigate but embrace.

1. Empathy is Key:

  • Incorporate for a better approach: Start by stepping into the shoes of your users. What are their pain points? What delights them? By empathizing, designers gain insights that drive user-focused design decisions.

2. User Involvement Throughout the Design Process:

  • Real-life example or statistic: Apple’s iterative design process involves user testing at every stage. This constant involvement ensures that their products align precisely with user needs.

3. Holistic Approach to Design:

  • Visual content: Picture your design not as isolated screens but as a cohesive journey. Use diagrams to illustrate how each component fits into the larger user experience ecosystem.

4. Usability is Non-Negotiable:

  • Case studies or examples: Consider the success of Google’s homepage. Its simplicity and efficiency showcase the power of a user-centered approach, emphasizing usability.

5. Accessibility for All:

  • End with a clear call-to-action: Make your designs accessible. It’s not just a legal obligation; it’s an ethical imperative. Ensure your interfaces are usable by everyone, regardless of ability.

6. Consistency Across the Interface:

  • Formatting for readability: Consistency is not just a design principle; it’s a readability strategy. Use bullet points for clarity and short paragraphs for easy consumption.

7. Flexibility and Customization:

  • Inclusive language: Users are diverse, so should your designs be. Incorporate flexibility and customization options. This ensures your interface caters to a broad range of preferences.

Why User-Centered Design Matters:

A. Enhanced User Satisfaction:

  • Feedback mechanism: Prioritize user satisfaction. A satisfied user is an engaged user. Welcome reader input and questions to keep the conversation alive.

B. Reduced Learning Curve:

  • Clear call-to-action: Minimize frustration. Make your interfaces intuitive, reducing the learning curve. Invite users to explore with a clear call-to-action.

C. Increased Engagement and Retention:

  • Visual content: Engaging interfaces retain users. Visualize engagement with appealing images or infographics. Showcase how user-centered designs reduce bounce rates.

D. Effective Problem Solving:

  • Tangible proof: Case studies offer tangible proof. Explore how UCD’s iterative process allows for effective problem-solving. Real-world examples bring these concepts to life.

Conclusion:

In the grand tapestry of digital design, User-Centered Design is the thread weaving functionality, aesthetics, and user satisfaction into a seamless whole. By embracing these principles, designers transform mere interfaces into user-centric experiences. So, as you embark on your design journey, remember: User-centered design isn’t just a philosophy; it’s a commitment to excellence. Design with the user in mind, and success will follow.

About the Author: Mehul Chauhan is a seasoned Senior UI/UX Designer at Mantra Labs. With a deep understanding of design principles and a keen eye for detail, he brings creativity and innovation to every project he touches. When he’s not busy perfecting digital interfaces, you can find him seeking inspiration in art galleries or exploring the latest design trends across various industries.

Further Reading: Unveiling the Art of Emotional Design

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