How to Develop a Nursing App Like Sensely

9 min readFeb 24, 2023

There’s a global nursing shortage, and it’s only going to get worse. By 2030, it is anticipated that medical organizations worldwide will experience a shortfall of 13 million nursing specialists. And with more and more nurses retiring each year, hospitals will struggle to keep up with the demand for quality healthcare.

A virtual nurse app can help ease the burden on healthcare providers by supplying around-the-clock care with minimal human resources. By leveraging AI-driven technology, such apps can remotely monitor care protocols, giving nurses access to vital patient information without the need for an onsite physician or nurse.

It’s an innovative solution to a serious problem — one that can help reshape our healthcare system and revolutionize patient care.

On top of that, virtual nurse app development is a potentially lucrative business niche. With the aging population and the increasing demand for nurses, this field will only continue to grow.

If you, like us, believe now is an opportune moment to invest in the development of virtual nurse apps, don’t miss out. Check out this post to discover all the tips and tricks for creating the best nursing app like Sensely.

What is the virtual nurse app Sensely, and how does it work?

Sensely provides personalized nursing assistance to patients through the use of artificial intelligence and machine learning technologies. This is done through a voicebot which talks to the user to find out their health complaints, identify symptoms of a disease, and advises on methods of treatment.

Sensely is well-educated and can help on various occasions. Whether you want to consult on how to manage a cold or quit smoking, it can give competent advice. Sensely can also arrange a meeting with a doctor in a convenient time and location. Additionally, it may suggest how to reduce the risks of specific disease and what preventive measures to take to avoid specific medical problems.

Once patients have downloaded and opened the Sensely app, they get connected with a virtual health assistant (usually, Molly). This assistant guides them through the app’s options and puts them in contact with the necessary medical resources.

Virtual nursing app Sensely

The whole process takes place in three steps:

1.Assessments. You begin by answering a few questions designed to get a better understanding of your symptoms and health history.

2.Symptom checker. An AI-driven module uses natural language processing to understand user inputs and make tailored recommendations accordingly.

3.Connecting to care. Users can directly access online medical care — without having to make an appointment or travel somewhere — by connecting to care providers such as doctors or therapists via secure video calls or email conversations.

Using Sensely helps patients make sense of their symptoms quickly so they can get help faster than before — and all from their own home.

What AI technologies are used within the Sensely nursing app?

Sensely uses natural language processing (NLP), deep learning (DL), and a knowledge graph to create its intelligent healthcare platform.

Natural Language Processing (NLP)

NLP is responsible for voice recognition and speech understanding. When the user speaks, the neural network extracts meaning by breaking the language into words and deriving context from the relationship between these words. It also recognizes a patient’s emotional state by analyzing the speed of speech and word order in a sentence. All this allows virtual assistants to correctly understand what users are asking and provide them with relevant and timely information.

Deep Learning (DL)

Deep learning is a kind of machine learning reliant on artificial neural networks, algorithms created to imitate the way the human brain learns. This type of algorithm is able to learn from data in an analogous manner to how humans study. For instance, Sensely utilizes deep learning to supply users with personalized healthcare support. Its artificial neural networks comprehend user queries and provide precise and relevant answers based on its knowledge of the topic.

Knowledge graph

The Knowledge Graph stores medical-related data, which Sensely uses through its Virtual Assistant when responding to users’ queries. By utilizing this technology, Sensely can offer personalized answers depending on a person’s health situation — all of this allows for a smoother experience while people look for answers related to their health.

What data does the Sensely nursing app collect?

When a user creates an account in the nursing diagnosis app Sensely, they are asked to provide certain personal information like name, email address, age, gender, health insurance number, and more. Additionally, users may be asked to provide medical history or other health-related information in order to aid the virtual assistant in providing the best care for each patient.

Sensely’s services also collect supporting data such as:

  • user’s interaction with the AI-powered virtual assistant
  • any questions or conversations users have with the virtual assistant
  • audio files of the conversation if applicable
  • anonymized data from interactions

Sensely stores this data securely and only uses it to improve the accuracy of its AI platform offering better product experiences for everyone using their services.

In addition to the data that Sensely collects from users directly, the company also collects data from its partners and other sources. This non-personal data is used for research and development purposes to help improve their AI and virtual assistant performance.

How does Sensely protect patient data?

Although Sensely collects users’ data, they understand the importance of privacy. They strictly follow HIPAA regulations and use the following measures to enable the safe operation of the virtual nursing app.

Data encryption

From the moment users register and enter data into the system, all data is encrypted using up-to-date Secure Socket Layer (SSL) technology. Data encryption ensures that data is only accessible to authorized users and that it cannot be accessed by cybercriminals.

Multi-factor authentication

Sensely also requires multi-factor authentication when users log in to their accounts. This means that they need to authenticate their identity with a combination of

  • something they know, such as a username and password
  • something they have, such as an access code sent via text message or email
  • something uniquely personal, such as fingerprints and voice recognition

Thorough security audit and testing

Along with utilizing security measures like data encryption and multi-factor authentication, the Sensely nursing app also goes the extra mile and completes a full security audit and testing at regular intervals. This ensures that users’ data is being stored under the highest standards of protection from end to end.

Start virtual nurse app development with MVP

Virtual nursing app development is a big project, but you don’t have to go all-in right away. Start with features that truly align with your product’s mission and are essential for your users. When you validate your idea, you can proceed with developing a full-fledged software product by including more advanced functionality.

So, here are some core components of your MVP (minimum viable product) to think about:

  • Secure authentication. This can be done by entering a code sent via text message or using biometrics.
  • Chatbots. They will allow users to text questions and get information quickly and easily.
  • Voicebots. Older people who might not be familiar with recent advancements in technology will likely appreciate the voice-response option.
Virtual nurse talks to the patient
  • Appointments. This will help schedule appointments with doctors in a nursing app without having to call the medical organization’s office.
  • Integrations. Integrations with third-party tools, such as medical record systems, are essential for providing users with correct information.
  • Reminders. A virtual nursing app should remind users to take medication on time.
  • Geolocation. This will allow your nursing app to display nearby hospitals, clinics, pharmacies, etc.
Sensely suggests the nearby health services to the user

Avatar for human-like interaction

An avatar in Sensely is a representation of a person (a nurse), visually displayed as a three-dimensional character. It uses artificial intelligence and natural language processing to understand user questions and provide personalized answers. The avatar can help users navigate the healthcare system and access the care they need, quickly and easily.

An empathic human-like avatar is a distinctive feature of the Sensely nurse app. It speaks in a friendly manner, has in-depth knowledge in the nursing field, and is really eager to help patients.

If you want to create the best nursing app that will be in high demand, you should incorporate virtual multi-language assistants to provide users with quality medical advice.

While it may not be presented in your MVP, you should put it first on the to-do list for developing a full-fledged product.

Different avatars in Sensely

What technologies are needed to develop your MVP?

Creating an MVP of a Sensely-like virtual nursing app requires you to choose the right technologies to power it. Just like any other app, you will need a reliable back-end technology stack — a mix of programming languages and databases that provide the infrastructure for reliable data transfer and user experience.

Choosing the right technology stack is critical. It should be lightweight, reliable, extensible, and above all, cost-efficient. Here are a few of the technologies you might consider:

  • Back-end server. Nodejs is an excellent choice for developing a robust web server for your app. It’s lightweight, versatile, and fast.
  • Database. MongoDB is one of the most popular NoSQL databases around. It’s easy to set up, has scalability built in, and integrations with Nodejs are well-supported.
  • API communication. You will need to use some kind of API communication to interact with your backend server. A good choice here would be REST APIs using JSON data formatting.

By selecting the right technologies and putting them together in the right way, you can create a powerful virtual nursing app that meets your business objectives while keeping your costs down.

How to do a feature test and deploy your MVP app to the mass market?

The best way to go about this is to first launch a pilot version of your app through a few users in your target market. This will allow you to receive real-time feedback, identify any bugs or glitches, and help you make corrections accordingly. After incorporating the feedback from the initial pilot launch, it’s important to run A/B tests on the features and updates you’ve made to ensure they are working properly and meeting customer needs.

Once you are satisfied with the results of your pilot launch and A/B testing, it’s time to deploy the app to a larger market. Here are some steps that can help you along the way:

  1. Publish your app on App Store or Google Store
  2. Set up tracking for customer visits and downloads
  3. Ensure proper customer support channels are in place
  4. Perform regular maintenance releases
  5. Continuously improve user experience based on user feedback
  6. Monitor performance metrics closely
  7. Measure the cost of customer acquisition and return on investment (ROI)

By following these steps as part of feature testing and deploying an MVP app, you can ensure your virtual nursing application is up to par before rolling it out on a mass scale!

How to put together a development team?

In order to get your Sensely-like virtual nursing app up and running and full-fledged, you need people for the following roles:

  • Project manager
  • UX/UI designers
  • Software engineers (backend, frontend, and mobile)
  • Quality assurance specialists

If you don’t have an internal team of software engineers, the fastest and most cost-effective way to put together the team is to outsource software development to a specialized company. They will take care of assembling the right people for your project, as well as other important elements like project management methodology, setting up communication channels, and more.

When looking for an outsourcing partner to create a virtual nursing app for your business, make sure they are experienced in things like AI-powered voice technologies, big data, and cloud computing. Be sure to ask about their experience in building healthcare applications too — tell them about the features you want in yours and see if they have done something similar before.

With the right help and resources, you can set your business up for success and create an innovative product that is sure to disrupt the market.