If you regularly think about how to optimize your business operations by speeding them up, increasing their accuracy, reducing related expenses, and eliminating risks associated with the human factor, perhaps the introduction of artificial intelligence will be the best option.
Specifically, according to the CompTIA IT Industry Outlook 2024 report, today, about 22% of companies are actively seeking to integrate AI into most of their technological solutions and processes, and 45% of companies are considering its implementation. If you are still in the second category, it's time to figure out which programming language will be able to form the basis of your new highly intelligent software tools.
What Is Artificial Intelligence (AI)?
The term "Artificial intelligence" describes software algorithms and systems that are aimed at solving problems typical to the human mind – such as learning, as well as pattern generation and recognition. Such algorithms are based on colossal amounts of disparate data collected from various sources. Thus, these algorithms form self-learning software solutions capable of analyzing this data and extracting valuable insights from it.
Programming Languages Most Often Used for AI in 2024
It is worth noting that AI-powered solutions may not be based on any software language – this can be explained by the high resource consumption of the AI algorithms that form them, as well as the lack of high-level functions. At the same time, there are seven languages that are most often used in AI programming.
Python
This programming language appeared long before the popularization of AI development. However, thanks to its low entry threshold and extensive compatibility, its community quickly grew, and today, Python is considered one of the three most relevant languages worldwide.
As for the tools for artificial intelligence programming, there are a lot of Python-compatible frameworks, libraries, and APIs, aimed at simplifying and speeding up this process. Among them are TensorFlow, PyTorch, Keras, SciPy, NumPy, and many others. Using them, developers can create high-performance, reliable, and scalable solutions that can solve even the most complex research problems.
R
R, being a statistical programming language, is great for data analysis and visualization. Even though developing artificial intelligence and machine learning solutions is not the primary use case for R, it is still adept at handling very large numbers. So, where popular Python may fall short, particularly in Data Science and Data Analysis solutions, R may be a better alternative.
Additional benefits of this developer tool include support for functional programming, vector computing, and OOP, as well as a number of packages specifically created for AI and ML development (for example, gmodels, RODBC, and OneR).
Java
This portable and scalable programming language is actively used in the development of highly intelligent corporate applications, especially for mobile platforms. In addition to compatibility with popular tools for ML and AI programming, such as the Deep Java Library for deep learning, OpenNLP for natural language processing, and Neuroph for building neural networks, Java is easy to write and debug program code.
It is worth noting that this language is object-oriented and scalable. It also simplifies data visualization and supports Swing and SWT (Standard Widget Toolkit), which allow developers to create attractive and complex graphics and interfaces.
C++
C++ is considered an extremely powerful language for AI programming and can greatly benefit developers when creating games and embedded systems. Like Python, C++ is a mature language, which does not detract from its advantages, such as flexibility and high performance. C++ has several libraries for machine learning and neural networks that help complex algorithms run faster (including MapReduce, mlpack, and MongoDB). In general, many software engineers prefer this language for building projects that require high speed, as it interacts with training modules in a production environment.
Actually, that’s why this low-level language used for AI is primarily a tool for creating complex banking software, cloud systems, and intelligent speech recognition solutions.
JavaScript
JavaScript is a scripting language used to add interactivity to web pages. Even though it is not as popular as the AI programming languages described above, it can be extremely helpful in implementing solutions for Data Science, one of the most promising areas for using JS.
In addition, JavaScript is the most popular programming language in the world, so you won’t have any problems finding the right AI development tools and frameworks that are compatible with it. The popularity of this coding language for AI can be explained by several factors: reliability, stability, abundance of high-level functions, libraries, and tools, as well as fairly low requirements for other technical skills of developers (it is likely that you will not have any difficulty finding dozens of AI tools that support JS, which will cover the whole scope of work related to your AI project) .
Scala
This machine learning language is concise and expressive, and is often used in big data solutions. Scala is a multi-paradigm language specifically designed to express common programming concepts in a simple, convenient, and type-safe manner.
Scala is commonly used in the development of machine learning algorithms and pattern detection in large data sets, and all this – thanks to the built-in Smile data processing library, extensive compatibility with AI frameworks and libraries (in particular, BigDL, Breeze, DeepLearning.scala, and so on), as well as its object-oriented and scalable nature.
Julia
Julia is the best programming language for AI powered scientific solutions and technical projects that require statistical data processing. This is a relatively new language with dynamic typing, parallel programming, and JIT compilation that has proven itself well due to its high speed (Julia-based projects are rarely inferior in performance to their C++-based counterparts), flexibility, and a mature ecosystem.
Many of the tools built into this language use polymorphic dispatch, which makes switching between them much faster than in other languages. It is also worth noting that Julia projects can be integrated with TensorFlow.jl, MLBase.jl, and MXNet.jl.
The Programming Languages That Are Not Recommended for AI
Along with the extensive list of languages for AI development, there are also those that are better used for solving other problems. These are usually niche and low-level languages, such as PHP and Ruby (scripting languages that do not have the needed flexibility and speed to simplify the development process), C (a low-level language that lacks almost all the functions needed in AI development), and Fortran (despite its use for mostly scientific purposes, it has poor functionality).
Ultimately, a seasoned software engineer will be able to cope with any AI development task using any language; another thing is that, given the expected scope of work, the languages that we described in the previous paragraph are much better suited for these tasks.
If you are looking for an experienced team that will launch the digital transformation of your business processes through custom-made AI and ML solutions, feel free to contact us.
Which programming languages are most popular for AI development in 2024?
The most popular programming languages for AI are Python, R, Java, C++, JavaScript, Scala, and Julia.
Can Java be used for AI development?
Yes, Java is widely used in AI, particularly for building scalable enterprise-level applications, with libraries like Deep Java Library and Neuroph supporting AI development.
Is R a good choice for AI and machine learning?
R is an excellent choice for AI, especially in data analysis and visualization, making it a strong alternative to Python in specific data-driven AI projects.
Which programming languages are not recommended for AI development?
PHP, Ruby, C, and Fortran are generally not recommended for AI development due to their lack of necessary features and speed required for AI tasks.
If you have an idea for implementing a digital solution, but its business model is not yet clear, you may need a lot of resources to find the right one. But how can you test the effectiveness of this idea in practice when each of the potential target audience’s representatives may perceive it differently? The answer is simple: you should consider minimum viable product or MVP development for startups. Below, we will explain its peculiarity and analyze the advantages of this approach.
What Is an MVP for a Startup?
An MVP for startups is a software solution with a basic set of functions and a simplified visual that clearly demonstrates its unique selling proposition (USP) and does not have any additional features (that is, if you remove something from its functionality, it will lose this USP).
The Importance of MVP Development for Startups
The main purpose of MVP development for startup is simple: since early-stage startups do not have clear, verified business models, it is important to make sure that they will be accepted by their target audiences. Otherwise, their owners risk losing a lot of financial and time resources on something that “does not work” for the end consumers. So, to avoid this, it is better to implement such projects gradually, optimizing and expanding them, taking into account feedback obtained from real users.
MVP Development Process
Here are the main stages of the MVP development startups process:
Defining the problem or goal of the target audience that you are going to help them solve/achieve with your product;
Conducting market demand analysis, which consists of a detailed study of the target audience, market trends, similar software solutions, etc.;
Rapid prototyping of the future solution and defining its key features that form the USP;
Agile development of an MVP;
Collecting feedback from real users;
Continuous product iteration after the MVP launch aimed at tailoring the product to the needs of its target audience.
Top 9 Benefits of Building an MVP for Startups
In this paragraph, we would like to introduce MVP benefits that are valuable for each startup owner.
Cost Efficiency
Creating a minimum valuable solution is, first of all, much cheaper than in the case of a full-fledged one. This means that the initial budget for your project will be moderate, and you will not have to sacrifice anything important – for example, the budget for marketing, the salaries of your full-time specialists, and so on.
Faster Time to Market
No matter how unique your idea is, there is always a risk that someone will follow your example before you. In turn, the implementation of the MVP will allow you to reduce the time-to-market and, thus, gain an additional competitive advantage.
Market Validation
A quick launch of the MVP will help you validate it in real market conditions as fast as possible. In the future, you will be able to optimize it based on real feedback from its users and then improve it with each iteration and make it more and more valuable to them.
Risk Mitigation
Getting a working solution up and running quickly will help you identify its hidden issues early on, all thanks to the fact that it will be accessible to users from all over the world. In fact, no other type of testing, no matter how many resources are involved, can provide the same thoroughness in identifying errors and inconsistencies.
Investor Attraction
By launching a “raw” but functioning product to market early, it will be available to potential investors, too. Agree that this approach to demonstrating your idea looks much more viable and capable of achieving your goals than presenting a business plan only.
Customer-Centric Development
Generally speaking, creating a minimum viable solution is one of the key startup success factors since its entire development cycle is tailored to “please” its target audience. Indeed, since user feedback has to be taken into account long before the solution is released (first, it is tested by the project team and then – by representatives of focus groups), it turns out to be truly focused on the needs of the end users.
Enhanced Learning
MVP in startups helps to conduct an end-to-end assessment of market needs and make decisions based on the data obtained. This way, you can use the obtained insights in the further evolution of your product, turning it into a full-fledged software solution step by step.
Flexibility and Scalability
MVP development for tech startup involves creating an initially scalable, flexible foundation that is easy to modify and to which you can quickly add new/remove unnecessary functionality without much risk (primarily, associated with the appearance of hard-to-fix bugs).
Building a User Base
Finally, when you launch a full-fledged solution, it will already have some audience interested in using it. Thus, you will be able to reduce your budget for early adopter engagement and, in particular, the time and money needed to research and create a portrait of a potential client.
Conclusion
Now, knowing all the advantages and goals of startup MVP development, you can understand whether this option is right for you. In particular, if you are inclined in its favor, you can contact us, a service provider with many years of experience creating MVP solutions for startups in different industries. We will accompany you throughout the entire lifecycle of your project – from the ideation stage to the release and support of its full-fledged version.
From long patient wait times to inefficient manual processes and risky paper records, the healthcare sector has faced numerous challenges historically. This has created a fertile ground for doctor appointment apps. According to Verified Market Reports, in 2023 alone, the market was valued at an estimated $318.49M, projecting a surge to $862.16 million by 2030 (15.29% CAGR).
Given the growth of AI-based solutions in telemedicine tech and the modernization of the healthcare system, we can now highlight the importance of such solutions and dive deep into the specifics of healthcare appointment apps.
What is a doctor appointment system?
A doctor appointment application — is a digital solution that automates the registration of patients for an appointment with medical specialists. However, modern solutions imply more than just scheduling online appointments. They give patients useful information about a healthcare institution's services and specialists. Also, they connect patients with doctors and give access to their records in the comfort of their homes.
Why is this system gaining traction in the healthcare sector? Let’s break it down into factors:
The widespread digitalization of the healthcare sector. Healthcare is moving beyond in-person consultations in the facility. Now, it includes remote consultations, app-based therapies, and remote health tracking for timely interventions.
The development of modern technologies. Various mobile applications and the affordability of smartphones make this format of interaction with patients desired and preferable.
Reducing the workload on administrators. To prevent personnel burnout, medical institutions can use healthcare scheduling software systems to reduce the number of routine tasks assigned to administrators and the number of errors associated with the human factor.
Increased patient satisfaction. Transparent access to doctors' schedules and the ability to choose a suitable time — increase customer loyalty.
Increased occupancy of doctors' schedules. With a doctor appointment system, healthcare organizations can minimize empty appointment slots since it will be easier for patients to choose the optimal date and time for a visit.
Key doctor appointment app features
Since the Apple App Store boasts approximately 35,019 healthcare and medical apps, among which are approximately 10 to 20 types of doctor appointment apps, features might hugely range from app to app. Let's examine the main features of the doctor appointment app.
Online appointment booking
The system should have filters for doctors by specialization, review patient feedback, and book appointment availability by date and time. Additionally, patients should be able to receive reminders for upcoming appointments (e.g., push notifications, email, or SMS).
Telemedicine
For routine follow-ups, an online medical appointment system is essential. It's not a choice but an inevitability. Both patients and healthcare providers save travel time and can schedule appointments just in the app via online consultations, video conferencing, or text chat.
Integration with EMR and billing system
Integration with electronic health records provides access to the patient's medical data directly from the application, allowing doctors to update and review these records directly from the platform. As for the billing system, the PCI DSS-compliant payment gateway will be the core element of the online payment process. In addition, it provides an option for generating bills and receipts.
Feedback and ratings
Usually, this is a window where patients can rate their experiences and write reviews for specific providers using a simple scoring system. For usability, this feature must remain unobtrusive within the app interface.
FAQ and educational materials sections
The app should include a FAQ section covering usage and privacy. It should also have an educational section with information about specialists, a map of the institution, and service costs.
Monetization strategies for doctor appointment apps
The ideal monetization strategy for a doctor appointment system depends on the target audience and the organization's business model. Let's look at the most popular types of monetization in this niche:
Subscription-based. According to this model, after paying for a monthly or annual subscription, patients get access to advanced features, such as priority appointments or online consultations.
Pay-per-booking. This model involves charging a fixed fee or a percentage of the service's cost (usually 5-10%) for each appointment.
Advertising. Based on this model, you can publish advertisements for medical services, pharmacies, insurance companies, and other partner organizations. This can be contextual advertising, static banners, or affiliate programs (for example, you can recommend pharmacies for buying drugs).
Payments for telemedicine services. This approach to monetization involves charging a fee (either a percentage of the service cost or a fixed amount) for online consultations implemented within the application.
Patient data monetization. This type of monetization involves selling anonymized patient data to global healthcare corporations. They can be used in the future for both clinical research and to improve the quality of services of partner organizations (for example, insurance companies, laboratories, etc.).
White-label solution. Finally, you can develop a customizable solution and sell it to other companies under their brand. In this case, you must provide a settings panel where each organization can set individual configurations.
Benefits of doctor appointment booking app development
To understand the benefits of the doctor appointment booking system, we first need to figure out the main pain points such software can solve. Previously, we’ve mentioned some, but for the sake of completeness, let's consider each of them:
Simplification of the procedure for making an appointment with a doctor. Earlier, patients had to call the clinic, wait for the admin to answer, and adjust to the schedule. With the app, they can choose the best time and date within a few moments on their smartphone.
Drop in missed sessions and treatment gaps.
With appointment alerts or medication reminders, patients won’t forget about upcoming visits to the doctor and taking medications, which ultimately saves the clinic's resources.
Transparency of pricing. Some patients find it difficult to understand the cost of the services; in turn, with the application, they will have access to all the price information before making an appointment.
Comprehensive information about doctors and services.
To prevent patients from choosing doctors blindly, the application can offer them a convenient rating system, reviews, and descriptions of services; thanks to this, they will make a more conscious decision about choosing a particular doctor/service.
Minimization of paperwork. Without a doctor appointment application at hand, medical personnel often had to work with paper journals. An app that integrates with the CRM, EHR, and other software will reduce reliance on paper docs.
Higher revenue. You can sell additional services through the application; moreover, its convenience and transparency increase the likelihood of repeat visits.
Reduced need for human resources. The application’s launch will help reduce the need for a large administrative staff, allowing existing employees to focus less on routine tasks and more on value-driven activities.
Greater return on marketing efforts. The patient's behavior analytics can help you craft more targeted offers. With insights into patient habits and preferences, you can create highly targeted offers that resonate with your audience, optimizing both campaign success and budget efficiency while increasing engagement and retention.
Increased competitive advantage. Modern clinics that offer convenient digital solutions win more patients, improve operational efficiency, reduce no-show rates, and enhance patient satisfaction, all of which contribute to a stronger competitive position in the overall healthcare market.
Steps to build a doctor appointment app
Let’s check the steps included in the medical software development services that our doctor appointment app development company provides.
Market research
At this stage, our doctor appointment app development team defines the application's target audience (the patients' age, smartphone proficiency level, etc.). Next, we analyze the institution's business model for which it’s being created while researching competitors and identifying their strengths and weaknesses.
Based on the insights received, we determine the app's basic and advanced features. For example, we want real-time patient monitoring through wearables. We also need to agree on the OS, which can be Android and/or iOS. Lastly, we must choose the best monetization model. Finally, we determine the necessary integrations with third-party solutions and the requirements that must be met (usually GDPR, HIPAA, etc.).
Prototyping and UX/UI design
At this point, our experts create user stories to guide the development of prototypes (first lo-fi, and when agreed upon with all stakeholders, hi-fi). Once the prototypes are finalized, our team starts working on the full-fledged doctor appointment app design. We aim to create user-friendly navigation that cuts off the input needed from the user to complete tasks. At the same time, the team works on the UI, optimizing it for mobile platforms and obtaining WCAG 2.1 accessibility guidelines.
Architecture development
This stage involves choosing an architectural approach (for example, microservices for better scalability, REST or GraphQL for API, and so on). It is also important to plan the processes that will be implemented on the server side (in particular, record management, authorization, etc.). On the client side (usually, this is the patient and administrator interface) and on the database side (as a rule, flows for transactions and caching are separated). We also select specific solutions for implementing the necessary integrations.
Coding
Now, we have everything ready to define the technology stack for the backend and frontend. This decision is based on whether native or cross-platform development will be utilized for the doctor appointment app. Once individual program modules are ready, we proceed with coding and testing each component.
Testing
Since the entire code base is ready, our doctor scheduling app development team ensures that it is fully covered with test cases to perform integration, load, and other types of testing. If there are any bugs, we will fix them immediately and then test the product again. Repeat this process until we meet all the specifications.
Launch and deployment
Finally, our doctor app development experts set up the server infrastructure (optionally, they also introduce CI/CD practices). Ensures data security (through encryption and regular security audits) and carries out a test launch of the software. If there are no critical bugs in the beta version of the application, we release it in the App Store and/or Google Play.
Post-release support and development of updates
This stage includes maintaining app stability, fixing failures, adding new features, optimizing existing ones, updating the design, and scaling with the growing user base.
Doctor appointment app design: Best practices
When it comes to the UI design of a doctor appointment app, we prioritize WCAG 2.1 guidelines. This section details and provides practical examples of their effective implementation for an optimal user experience.
Readability of information. Maintain a color contrast ratio between text and background (at least 4.5:1 for normal text and 3:1 for large text). Also, include doctor avatars and icons, ensure text scalability up to 200% (without loss of functionality), and add subtitles and text transcripts for videos (if any).
Ease of navigation. All UI elements should be keyboard-accessible and have a minimum clickable size of 44x44 pixels. Ensure there’s extra space around buttons or links to prevent accidental clicks and include breadcrumbs for easier navigation.
Clarity of the interface. Use simple language in the interface, label all form fields, provide input format examples (like "dd.mm.yyyy"), highlight errors, and offer step-by-step instructions for complex tasks, including a progress indicator.
Interface reliability. Ensure that your application is compatible with assistive technologies (for all functional elements, use ARIA labels). Test your app on various devices and ensure it uses standardized data formats like JSON and XML for smooth communication with integrated third-party services.
Of course, this is only a small part of the best practices you can implement in the doctor consultation app development process. To maximize the loyalty of your audience and better understand what the design should be — read the WCAG 2.1 guidelines directly.
Doctor scheduling app development: Overcoming key challenges
Generally speaking, everyone who is going to develop a doctor appointment app faces challenges to one degree or another. To overcome them effectively, it's crucial to understand them in advance. Let's explore them in detail:
Integration with software solutions that you already use. Your application may require integration with systems and services that are either legacy or support non-standard data exchange protocols (i.e., different from HL7 and FHIR). In this case, you may need additional middleware development to ensure seamless data transfer.
Data security. Medical information must be protected with particular care, as its leakage can lead to large fines and loss of reputation for your organization. To minimize risks, consider data encryption at rest and in transit, implement two-factor authentication and role-based access control. After all, try to regularly conduct pen-tests.
Performance and scalability. High server load during peak hours can lead to failures in the operation of your application. To prevent this, you can initially choose cloud platforms that support autoscaling for hosting and implement data caching.
Testing complex scenarios. During testing, your QA specialists risk missing complex interaction scenarios with the application. For example, when several patients simultaneously make an appointment for the same doctor or when the selected order of visits to several doctors is conflicting. To ensure comprehensive coverage of test cases, use automated testing tools.
Accessibility. A confusing interface can drive users away, leading to fewer interactions with your app. To prevent this, conduct thorough UX research with real users before launch. Based on their feedback, make necessary adjustments to the app's functionality and design.
The unwillingness of personnel to switch to new digital solutions. Adjusting to new rules might be hard, especially within historically established healthcare practices. You might consider providing training for your staff on how to manage new progressive software.
Beyond technical challenges, there are many business-related obstacles, from USP's definition to the choice of an effective monetization model. This is why, besides carefully selecting the right doctor appointment app development team, consider hiring skilled marketing experts, too.
Doctor appointment app development cost
From our experience of doctor appointment mobile app development, it is impossible to determine the accurate cost of such a project without understanding its functionality and the platforms it is intended for. However, based on the average cost for app development, we can give an approximate cost guide. Here’s a breakdown:
Complexity of projects:
Simple apps typically range from $20K – $30K, and their implementation takes 4 – 6 months. These apps usually include basic functionalities like appointment scheduling and doctor search features.
For mediumapps like telemedicine integration and electronic health records (EHR), costs can rise from $30K to $45K with an approximate 6 – 9 months timeline. This includes both web and mobile platforms with a broader range of functionalities.
Highly complex applications with real-time video consultations, comprehensive analytics dashboards, and AI-driven functionalities may exceed $45K+ and take 9 – 12 months.
Geographical variations
The cost can also vary by region:
North America: Because of advanced technological capabilities, on average, it has the highest cost, ranging from $30K – $150K+.
Europe: Cost ranges from $20K – $150K, influenced by economic conditions from country to country.
Asia: Development costs are generally lower, ranging from $20K – $100K.
Have a thriving idea for a doctor appointment app and are curious about a budget estimate for its deployment? Simply fill out this form, and we will swiftly calculate your project and contact you back.
Top 5 successful doctor appointment apps
Now, let’s explore some top-tier doctor appointment apps that excel in every aspect. These examples might inspire you to build a doctor appointment app for your healthcare organization.
Zocdoc
Zocdoc is praised for its intuitive interface and powerful search tools. The platform has an intuitive interface and powerful search tools. The platform streamlines appointments and has instant confirmation features, reminders, a feedback system, and seamless integration with insurance providers and document uploads.
Practo
Popular in India, Practo gives patients access to doctor appointments, telemedicine services, ordering medicines for delivery, and storing medical records. Patients can view individual doctor profiles, including their education, experience, and certifications, allowing them to choose the best specialists for their treatment.
Doctolib
The Doctolib application simplifies making appointments with doctors and provides the option to cancel a visit. This application is integrated with doctors' calendars, automatically sends notifications, and provides rich functionality for doctors (including scheduling management and provision of telemedicine services).
Healthgrades
As for alternatives for the US market, we cannot help but mention Healthgrades. This application helps users find doctors and medical institutions based on location, specialization, and rating. Plus, it allows patients to make appointments and get detailed information about particular specialists and organizations.
MyChart
MyChart — is a top charted app in the US and Canada. Designed to manage medical information and schedule appointments, it allows patients to communicate with doctors online and get family access.
Darly Solutions' expertise in online booking and enhanced customer engagement
The most relevant case for online doctor scheduling app development was Glamezy, a B2C solution for the beauty industry. Our client sought to create an online platform to help small and medium businesses in the beauty sector expand their reach, especially after the restrictions imposed by the COVID-19 pandemic.
The goal was to develop a website that allowed customers to book beauty services online based on location easily. Also, the platform must have an easy and encouraging interface to communicate with potential partners while boosting sales and driving customer engagement. Ten experts worked on this project; and for the tech stack, we used React and Node.js.
As a result, we created a solution for easily searching and booking top beauty professionals. Now, the platform lets users add salons to a shortlist with one click, view nearby salons on an interactive map, and earn points for every transaction on the platform.
If you’d like to explore this case further, please visit our portfolio.
Final thoughts
It’s fair to say that at the heart of every design lies a larger goal for the benefit of humanity. A well-designed doctor appointment app boosts access and patient satisfaction while helping small and medium healthcare organizations and businesses thrive in the tech sector.
After you’ve read all the details about ideas and challenges for developing a doctor appointment app, it's time to find the right team to turn your vision into reality.
For now, don’t settle for less. Darly Solution is here to help! Contact us today to discuss your project in detail.
The medical field has been developing for ages, but over the past twenty years, we’ve seen the flourishing of healthtech. And it’s not surprising: this technology is a game-changer for patient care, workflow, and life-saving.
The healthcare industry includes producing portable devices to monitor vital signs and online medical consultations provided by modern digital health solutions. And, similarly, every private clinic should have a top-notch website where patients can book an appointment with a doctor.
What are the roles of a medical site?
A communication tool with patients. A site can be easily googled. Also, it contains information about available services and specialists. Thus, it makes it much easier for clients to reach out to you.
A communicational channel. Internet marketing is one of the most effective tools for attracting customers, but you need a web resource to use it. Thanks to a site, you will be able to find customers among users of search engines and social networks.
An image-maker of your organization. You need to give a good impression to make others want to collaborate.
A source of getting feedback and statistical data. Thanks to analytics systems, you can track changes in behavioral factors, perform A/B tests, and monitor the effectiveness of various traffic channels.
So, a medical website must be very comprehensive, secure, and accessible at all hours. To achieve this, it’s important to involve specialists responsible for different aspects of the work at each stage of the healthcare website development.
Key Considerations When Hiring
Before you hire a health tech development company, it’s essential to ensure their team has the necessary hard and soft skills. The task of the dev team will be to make the site appealing to users and customize traffic channels. In turn, the site owner should provide the essential information and approve tasks in time to avoid excess of the final healthcare website development cost and pauses in the work process.
What should you bear in mind while searching web development companies for healthcare?
Relevant experience. The more projects related to medicine they have, the better.
Technical knowledge. Find out if the developers know the required programming languages.
Communication skills. Website development is a team effort not just for the performers but also for the customers, so soft skills are vital here.
Ability to comply with regulatory requirements. The company must know about HIPAA compliance and other legal provisions.
Experience in HeathTech
The company you want to hire must understand your business. That’s why your healthtech development company must be experienced with medical data and technology. Look for the company that has previously worked on similar projects. They could have a background in developing electronic health record systems, medical visualization software, remote care platforms, or other products related to healthtech website development. Companies with extensive experience in this field are well prepared to meet the specific demands of healthcare software development.
Technical Expertise
The company’s tech team should have certain skills required for medical website development. First of all, they need to ensure the security of the medical website. Secondly, it must be able to scale. This will allow you to upgrade a site following current changes like adding new services, functions, categories, or sections. It will also increase functionality and optimize it based on customer requests and company interests.
Another important aspect is defining the right tech stack. The developers must be able to choose a health tech website development programming language that meets business needs. The most popular ones are HTML/CSS, PHP, Python, JavaScript, Java, Ruby, and Swift. The final choice of one or another development tool must be made according to the goal of creating responsive web design and providing a brilliant user experience. The company should also have a skilled designer who can transfer your brand identity into the website’s UX/UI design.
Regulatory Compliance
A team working on a health tech site must guarantee its security as patients leave their personal data there – this can be ensured by its knowledge of how to create a secure website for healthcare providers. Specifically, such websites must meet HIPAA regulations and other confidentiality rules in health care, such as GDPR and PCI-DSS. Make sure the company is aware of these norms and can perform HIPAA-compliant website development.
Communication and Collaboration
Healthcare website development requires ongoing communication between the client and the contractor. For example, in the beginning, you and the tech team will negotiate on choosing the right CMS for the website. Consider hiring only those who are accessible, transparent, and timely. If there are no meetings or any other forms of communication, move on to the next candidates.
Partner’s Reliability
Make sure the chosen company is trustworthy. It must be present on social media and have its website with a portfolio. Seek for clients' feedback on special resources, forums, and social networks. This way, you’ll quickly see what prior customers have said about a company's service delivery. And, if some field-specific media have published case studies about the company’s work, it’s a very good sign.
Compliance with Your Request for Proposal
Once you decide on a candidate, it’s time to write a project proposal. Health tech website development proposals include stating the project’s objective, target audience, budget, and other features specific to your project. This way, the potential company will understand your business needs better and be able to provide an individual proposal.
Impression After Personal Interviewing
A key to successful collaboration lies in communication. Interviewing health tech web developers will allow you to test their understanding of your specific demands and the concept of the website.
Crucial moments to clarify during interviews:
Ask for details about their experience. Get candidates to talk about a project related to health tech they have participated in. Go into detail to assess their role and expertise.
Ask about the development process. Give them thorough questions to test their technical knowledge and figure out the workflow. You can also provide them with a test task to evaluate their skills firsthand.
Uncover their management style. Ask if the team has worked on any cross-functional projects. Look for leadership qualities like guiding, empowering others to succeed, and handling conflicts constructively.
Find out the team membership. Alongside those who are usually present in the technical team, such as engineers, QA testers, and tech leads, there should also be a UX designer.
Ask who will own the code. It’s much better for you if the web development companies for healthcare offer a total handover. Yet, the agreement may include a clause that allows the contractor to keep the code. The worst thing that can happen might be that the company charges you more money because of the constant glitches they fix.
Question what happens if the team fails to meet the deadline. Find out how the company can repay for the lost time.
Portfolio
Ask companies included in a shortlist to demonstrate their previous projects. A voluminous portfolio is usually a sign of a company that has extensive experience. This way, you’ll wind out what they’re capable of. The portfolio will show you if the team can manage challenging projects and meet high regulatory standards. Also, it will show how good and user-friendly their software is. And, naturally, pay strong attention to websites related to the medical field.
Conclusion
Ideally, a website solves several problems of a healthcare business at once. First, it is one of the most effective tools for attracting new clients. It also acts as a channel of communication with existing patients, forms the image of your organization, and allows you to get feedback and collect your customers’ data. All this is possible if the site is developed by the pros. That’s why you should be very picky when you want to hire a health tech development company. Follow the recommendations listed above to find the perfect fit.
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