HealthTech Prototyping 101: No-Code Tools for Product Development

This article offers a compiled guide of ways to develop digital health apps without requiring extensive knowledge of programming. With no-code tools, you can turn complex challenges into manageable solutions and also optimize budgets and timelines.

Written by

Marcus Chia

Published on

Reading time

5 min

As a seasoned marketer with no prior coding experience, I’ve often pondered the intricacies of software development and how learning to code seemed like an insurmountable challenge. It takes a considerable amount of time, and the gap keeps widening with the emergence of new programming languages and technologies. That is until I discovered the world of no-code, and I’ve been enamoured ever since.

No-code tools offer an excellent way to quickly develop digital health products without requiring extensive programming knowledge. I’ve compiled a quick guide on how you can use these tools to bring your digital health ideas to life:

1. Identify the Digital Health Product Type

Determine the specific type of health product you want to develop, such as:

  • Telehealth platforms
  • Health monitoring applications
  • Patient data management systems
  • Wellness and fitness apps
  • AI-based symptom checkers

Once the product type is identified, you can select the most appropriate no-code tools for the task.

.Bubble Web
Source: Megrez & .Bubble
Adalo Website Interface
Source: Megrez & Adalo

2. Select No-Code Tools for Your Use Case

Depending on your needs, you can use one or more of the following tools:

For Building Mobile and Web Apps

  • Bubble: Perfect for developing web applications with complex workflows, such as patient management systems, appointment booking, and various health-related services.
  • Adalo: Ideal for creating mobile apps using intuitive drag-and-drop interfaces. You can build apps for patient tracking, fitness monitoring, or telemedicine.
  • Glide: Transforms Google Sheets into mobile apps, making it a great choice for tracking patient data, scheduling, or managing fitness plans.
Make Website Interface
Source: Megrez & Make

For Workflow Automation

  • Zapier: Streamlines workflows between various tools, automating tasks like scheduling, reminders, and transferring health data between systems (i.e: from a Google Form to a database).
  • Integromat (Make): An excellent automation tool for more complex scenarios, allowing you to process health-related data and send alerts or automate tasks across different platforms.
Retool Website Interface
Source: Megrez & Retool

For Managing and Storing Data

  • Airtable: Provides an easy-to-use interface for database management, allowing you to store and analyze patient or user data in health apps.
  • Google Sheets: For simpler projects, this is a straightforward way to manage data and connect with other tools like Glide or Zapier.
  • Retool: A no-code tool for building internal dashboards to track and monitor health metrics or patient outcomes.
Chatfuel Web interface
Source: Megrez & Chatfuel

For Building Conversational AI and Chatbots

  • Landbot: Useful for building chatbots that can collect symptoms or provide health advice based on predefined flows.
  • Chatfuel: Great for creating Facebook Messenger bots for telehealth purposes or automating customer support related to health products.

Many of the tools integrate and bleed into each other well. For instance, Zapier can be used to leverage power data translation and transmission between Bubble apps and Airtable backends. Many of the tools are also connected to existing and well-known cloud infrastructure, such as Google Cloud Platform (GCP) and Amazon Web Services (AWS).

Coding Software
Source: Unsplash

3. Data Compliance and Security

For any digital health product dealing with patient data, it’s crucial to ensure compliance with data privacy. In Singapore, this means compliance with both the Personal Data Protection Act, as well as additional privacy restrictions for patient healthcare data.

  • Use compliant no-code tools where necessary. Some tools (like Firebase or AWS Amplify) may have compliant integrations if you're handling sensitive health data.
  • Make sure to follow security best practices, including encryption and secure data storage.

4. Leverage AI and ML for Health Insights

  • No-code AI tools like DataRobot or Obviously AI allows you to analyze health data without coding, making it easier to predict outcomes (e.g., predicting risk of chronic disease or recommending health plans).
  • You can integrate these tools with data from wearables or patient records to provide real-time insights for users or healthcare professionals.

5. Prototyping and User Testing

  • Tools such as Figma or Adobe XD (with limited coding knowledge) can help you design the user interface for your health app or website.
  • Use Maze or UserTesting to gather feedback from users, ensuring your health product is user-friendly and effective.


While healthcare is a complex field, software development for healthcare does not always have to be. By leveraging existing no-code tools, we can build and iterate proof-of-concept (PoC) prototypes quickly and securely to begin pilot tests and therefore ensure both problem-solution fit and product-market fit.

At Megrez, while we build custom solutions, we encourage and guide many of our clients through the use of no-code tools wherever possible, especially in regards to budgetary constraints. We love working with both coding and non-coding tools; feel free to reach out to us should you have any questions!

Ready to start a project? Contact us today!