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UX Mantra I received from Mantra Labs

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4 minutes read

My learnings and experiences as a UI/UX intern at Mantra Labs.

UX Mantra I received from Mantra Labs

“Design creates culture. Culture shapes values. Values determine the future.” — Robert L. Peters, designer and author

In this blog, I will share my learnings and experiences working alongside the design team at Mantra Labs.

The past three months working at Mantra Labs as UI/UX intern have been one of the most memorable times of my life, from meeting some amazing folks to learning some super cool tips and tricks. It was undoubtedly an amazing experience. Most people believe that interns only work on dummy tasks and never make any impact on the company despite their hard work. At Mantra Labs, this aspect is absolutely untrue. In a very short interval of time, I worked on multiple projects from different domains. As an intern, I was given the opportunity to lead a project’s UI/UX design from start to launch. I had to take all the design decisions, interact with stakeholders, collaborate with developers, and manage even the simplest of tasks involved.

Here are some of the key learnings from my experience at the company:

1. Ask Questions

The best way to accomplish something is to ask lots of questions to be sure what exactly needs to be accomplished. To be honest, in the beginning, I didn’t know the exact way to do lots of things. But, as an overthinker, I was always concerned about not being annoying. My manager and colleagues showed humility and taught me every little thing with utter patience. There were times when my manager got into some other work which left no time for him to answer my questions. Even then, I had my lovely teammates who stood there to guide me. I learned the most from my internship by asking questions and clarifying all my doubts.

2. Keep an open mind and apply a positive approach.

UI/UX Designing is incomplete without solving problems. The client’s requirements must be met by all means while keeping accessibility, conversational and humanized approach, and all the other things in mind. Therefore, for such a task, the ability to hear all the reviews and perspectives with an open mind and apply a positive approach to it is the only key.

Working with different design minds at Mantra Labs made me understand that not everyone is going to agree with your designs and ideas — even people in your own team! One has to keep iterating, once, twice, and sometimes even ten times. No matter how many changes happen, they should not be taken personally because a majority of the time the changes are only going to improve the product in the end.

3. Stop over-evaluating!

I have always been someone who at every step has over-evaluated myself. Thriving to achieve the best of me has been overwhelming all my life. Here, at Mantra Labs, I learned how to trust my instincts as far as designing was concerned. I was corrected wherever I made wrong decisions. It all made sense when I saw the outcome. It was during my internship that I learned how important it is to always check all decisions, but never question yourself to the point where you lose interest in your own judgment.

4. Try something new, and explore different domains.

Ever since I started my career, I was mainly working with Ed-tech companies but at Mantra Labs, I got the opportunity to work in multiple domains like Health Tech, and Solar Tech in a very short duration of time. Obviously, these fields were quite different as these domains were very new to me but as a UI/UX Designer, you’ll have to be ready to solve any problems irrespective of any domain.

5. Show gratitude

An entire team is involved to complete a project. You win only when everyone in the team applies equal effort to make it happen (it’s the teamwork that counts). The work culture in Mantra Labs is great, from cool colleagues to a cooler manager. All of them work and coordinate with each other in a way that ultimately leads to the completion of the project to the satisfaction of the client. Having such people around me at work was no less than a blessing during my internship.

Better Communication skills

Communication requires a language common to the speaker and the listener. Fortunately or unfortunately that language is English. Honestly, this language has not been a very good friend of mine. I was quite good with one-on-one conversations but public speaking had mostly been a blunder. During the course of my internship, I led some client meetings and also demonstrated my work to a group of people. Talking to clients and my teammates have helped me brush my communication skills and instilled in me a sense of confidence.

Any sort of work can become boring if one stops taking fun-filled breaks from it. UI/UX Designing is a creative field and creativity comes only with the freshness of mind. I am someone who is a workaholic, I skip my meals and sleep until the work assigned to me is completed. There were instances during my internship when I would get so involved in the project that I used to forget to get myself engaged with my fellow teammates and colleagues. At Mantra Labs, the environment was so cool and friendly that we played numerous games (treasure hunt being at the top of my list) between work. We even celebrated each other’s birthdays and partied after the office. All these were a sort of my recreation to get back to work the next day with the same zeal and zest.

Before wrapping this up, let me tell you something very important:-

Design overthinking is now extremely common among designers. A deep design thinking approach is not always necessary when solving problems, the solution to some issues can be as simple as drawing rectangles.

Draw rectangles, Don’t overthink 🚀

About the author:  

Shashi Kumar is a pre-final year journalism student at Chandigarh University, who worked with Mantra Labs as a UI/UX design intern. He loves to talk about geopolitics and entrepreneurship.

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Conversational UI in Healthcare: Enhancing Patient Interaction with Chatbots

As healthcare becomes more patient-centric, the demand for efficient and personalized care continues to grow. One of the key technologies that have gained traction in this domain is Conversational UI (CUI) — a user interface where interactions occur through natural language, often with the help of chatbots. For developers, building a robust CUI in healthcare requires a balance of technical proficiency, understanding of the healthcare landscape, and empathy toward patient needs. Let’s explore how CUI can improve patient interactions through chatbots and what developers should consider during implementation.

Why Conversational UI is Gaining Popularity in Healthcare

From scheduling appointments to answering medical queries, healthcare chatbots have become vital tools for enhancing patient engagement and streamlining healthcare workflows. Conversational UIs enable these chatbots to interact with patients naturally, making them accessible even to non-tech-savvy users. By incorporating AI and NLP (Natural Language Processing), chatbots can now simulate human-like conversations, ensuring patients receive timely, relevant responses. 

Image credit: https://www.analytixlabs.co.in/blog/ai-chatbots-in-healthcare/ 

Key Areas Where Chatbots Are Revolutionizing Healthcare

  1. Appointment Scheduling and Reminders – Chatbots can automatically schedule appointments based on patient availability and send reminders before the visit, reducing no-show rates. For developers, this feature requires integration with hospital management systems (HMS) and calendar APIs. The challenge lies in ensuring secure and real-time data transfer while adhering to healthcare compliance standards like HIPAA.
  1. Medical Query Resolution– Chatbots equipped with NLP can answer common patient questions related to symptoms, medications, and treatment plans. This reduces the burden on healthcare providers, allowing them to focus on more critical tasks. Developers working on this feature need to consider integrating medical databases, such as SNOMED CT or ICD-10, for accurate and up-to-date information.
  1. Patient Monitoring and Follow-ups – Post-discharge, chatbots can monitor a patient’s condition by regularly asking for health updates (e.g., vital signs or medication adherence). Developers can integrate IoT devices, such as wearable health monitors, with chatbot platforms to collect real-time data, providing healthcare professionals with actionable insights.
  1. Mental Health Support – Chatbots have shown promise in offering mental health support by providing patients with an outlet to discuss their feelings and receive advice. Building these chatbots involves training them on therapeutic conversational frameworks like Cognitive Behavioral Therapy (CBT), ensuring they offer relevant advice while recognizing when a human intervention is required.

Key Considerations for Developers

1. Natural Language Processing (NLP) and AI Training

NLP plays a pivotal role in enabling chatbots to understand and process patient queries effectively. Developers must focus on the following:

Training Data: Start by gathering extensive datasets that include real-life medical queries and patient conversations. This ensures that the chatbot can recognize various intents and respond appropriately.

Multi-language Support: Healthcare is global, so building multi-lingual capabilities is critical. Using tools like Google’s BERT or Microsoft’s Turing-NLG models can help chatbots understand context in different languages.

Contextual Understanding: The chatbot must not just respond to individual queries but also maintain the context across the conversation. Developers can use contextual models that preserve the state of the conversation, ensuring personalized patient interactions.

2. Security and Compliance

Healthcare chatbots handle sensitive patient information, making security a top priority. Developers must ensure compliance with regulations such as HIPAA (Health Insurance Portability and Accountability Act) in the U.S. and GDPR (General Data Protection Regulation) in Europe. Key practices include:

  • Data Encryption: All communication between the chatbot and the server must be encrypted using protocols like TLS (Transport Layer Security).
  • Authentication Mechanisms: Implement two-factor authentication (2FA) to verify patient identity, especially for sensitive tasks like accessing medical records.
  • Anonymization: To avoid accidental data breaches, ensure that the chatbot anonymizes data where possible.

3. Seamless Integration with EHR Systems

For chatbots to be truly effective in healthcare, they must integrate seamlessly with Electronic Health Record (EHR) systems. This requires a deep understanding of healthcare APIs like FHIR (Fast Healthcare Interoperability Resources) or HL7. Developers should aim to:

  • Enable Real-time Updates: Ensure that chatbot interactions (e.g., new appointment schedules, and symptom checks) are instantly reflected in the patient’s EHR.
  • Avoid Data Silos: Ensure that all systems (EHR, chatbot, scheduling system) can communicate with each other, eliminating data silos that can lead to fragmented patient information.

4. Scalability and Performance Optimization

In healthcare, downtime can be critical. Developers need to ensure that chatbots are scalable and capable of handling thousands of patient interactions simultaneously. Using cloud-based platforms (AWS, Google Cloud) that offer auto-scaling capabilities can help. Additionally, performance optimization can be achieved by:

  • Caching Responses: Store frequently used responses (such as FAQs) in memory to speed up interaction times.
  • Load Balancing: Implement load balancers to distribute incoming queries across servers, ensuring no single server is overwhelmed.

Tools and Platforms for Building Healthcare Chatbots

Several tools and platforms can aid developers in building healthcare chatbots with conversational UIs:

  1. Dialogflow (Google): Offers pre-built healthcare intents and integrates with Google Cloud’s healthcare APIs.
  2. Microsoft Bot Framework: A scalable platform that integrates with Azure services and offers AI-driven insights.
  3. Rasa: An open-source NLP tool that provides flexibility in creating highly customized healthcare bots.

Conclusion

Conversational UI in healthcare is transforming patient care by offering real-time, scalable, and personalized interactions through chatbots. However, for developers, building these systems goes beyond programming chatbots — it involves understanding the unique challenges of healthcare, from regulatory compliance to seamless integration with hospital systems. By focusing on NLP capabilities, ensuring security and privacy, and integrating with existing healthcare infrastructure, developers can create chatbots that not only enhance patient interaction but also alleviate the burden on healthcare providers.

References

  1. NLP in Healthcare: Opportunities and Challenges
  2. HIPAA Compliance for Chatbots

About the Author:

Shristi is a creative professional with a passion for visual storytelling. She recently transitioned from the world of video and motion graphics to the exciting field of product design at Mantra Labs. When she’s not designing, she enjoys watching movies, traveling, and sharing her experiences through vlogs.

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