The field of medical software development is rapidly transforming modern healthcare by enhancing patient care, operational efficiency, and data-driven decision-making. With a global market size of $142.7 billion in 2022 and a projected CAGR of 17.9% from 2022 to 2026, the significance of medical software cannot be overstated.
This blog explores the various aspects of medical software development, including its types, the development process, and essential features. By following a standardised process, healthcare organisations can leverage the benefits of customised software solutions to improve healthcare delivery and outcomes.
When embarking on medical software development, partnering with experts in custom healthcare software development services, like Montar Healthtech, ensures a seamless journey toward healthcare solutions.
Behind every click that summarises a radiology report for patient records and each online consultation that saves a trip to the doctor lies the expertise of medical software development. With a growing market size of $142.7 billion, this industry isn’t just about technology; it’s about humanising healthcare in the digital age.
When health data is as accessible as your email, we must ensure that custom software development for healthcare is robust enough to keep data secure while enabling accessibility across user groups and stakeholders.
So, what exactly does medical or healthcare software development entail? This blog will explore how medical software is built, its various facets, and its impact on the industry. Let’s begin with the basics: what is the difference between healthcare software and medical software?
While both types of software development aim to improve healthcare delivery, medical software development focuses more on clinical and direct patient care aspects. In contrast, custom healthcare software development covers a broader range of applications, including administrative and management functions within the healthcare sector.
Aspect | Medical Software Development | Custom Healthcare Software Development |
Focus and Scope | Primarily for clinical and medical purposes. Includes diagnostics, patient treatment, monitoring systems, and telemedicine. | Encompasses all healthcare industry software. Includes administrative and management systems, scheduling, billing, and comprehensive EHR systems. |
Regulatory Compliance | Stringent requirements due to direct patient impact. Complies with FDA, EU directives, and HIPAA. | Compliance varies; less intense for administrative tools. Also adheres to HIPAA and other data privacy and security regulations. |
End Users | Healthcare professionals (doctors, nurses, technicians) for clinical tasks. | Broader range, including healthcare staff, administrators, patients, pharma, life sciences, public health private clinics and insurance companies. |
Technical Complexity | High technical sophistication. Requires integration with medical devices, advanced data security, and complex algorithms. | Emphasizes interoperability, user-friendliness, and scalability. Serves a wider array of healthcare services and functions. |
While there are distinct differences between medical and healthcare software, it’s important to note that some digital health solutions can fall under both categories. Telemedicine and Electronic Health Records (EHR) are prime examples of this overlap.
Telemedicine, for instance, serves a medical function by facilitating clinical consultations remotely, but it also encompasses broader healthcare aspects like appointment scheduling and patient registration. Similarly, EHR systems are crucial for clinical record-keeping, yet they also streamline administrative tasks such as billing and scheduling.
“For developers creating custom digital health technologies, the key is not to get too fixated on the category but to focus on the goal and the specific problem the technology aims to solve. Whether it’s improving patient care, enhancing operational efficiency, or both, understanding the primary objective guides the development process,” says Dr Aakash Doshi, CEO of Montar HealthTech.
Moreover, it’s essential to consider the regulatory requirements early in the design phase. Regulations can vary depending on whether the software is more clinically oriented (like medical device regulations) or involves patient data handling (like HIPAA compliance).
In essence, the development of digital health technologies should be driven by the intended use and impact, with a keen eye on meeting the necessary regulatory standards.
Medical software can be categorised into different types based on their functions, users, or domains. Here are some of the most common applications:
Diagnostic software encompasses a variety of applications, such as sophisticated medical imaging, electrocardiogram analysis, and blood pressure monitoring tools. These technologies help in making accurate diagnoses and planning effective treatments.
This includes innovative applications that control or assist in delivering therapies, such as software used in radiation therapy, insulin pumps, and pacemakers. This software ensures precise and effective patient treatment and care.
The role of educational software in the medical field is ever-expanding. It serves as an invaluable tool for training healthcare professionals and educating patients. Leveraging cutting-edge technologies like simulations and virtual reality, it offers interactive learning experiences that are both engaging and informative.
Research software includes tools like bioinformatics software, AI applications, and data mining are essential for advancing medical research. The caBIG® initiative is a prime example; it combines virtual and in-person meetings, fostering collaboration between researchers and developers to tackle complex biomedical challenges.
Developing medical software is a meticulous process that requires a deep understanding of both healthcare and technology. Here’s a step-by-step guide to the process of custom healthcare software development:
The initial step in medical software development involves pinpointing a specific need or problem in the healthcare workflow. For instance, providers might be facing challenges in efficiently managing and analysing the increasing volume of radiology images or lab results. The customised digital health solution could aim to address this by providing medical device software that streamlines image processing, enhances diagnostic accuracy, and integrates seamlessly with existing hospital systems. Understanding these pain points is crucial for developing software that truly adds value to the medical field.
Transform healthcare delivery with solutions born from design thinking. Learn more about it in our blog: Design Thinking is a Game Changer in Digital Tech Development. Find out why!
Following problem identification, it’s essential to conduct thorough market research and user analysis. This step would involve gathering insights from the tragedy audience and end users of the software. Surveys, interviews, and observations can reveal how these professionals work with existing systems, their preferences, and any limitations they face. Understanding the daily workflow, technical capabilities, and specific requirements of these users is key to ensuring the software developed meets their needs and fits seamlessly into their routine.
The next phase is to define the software’s scope and requirements precisely. For a software focused on radiology images or lab results, this would mean outlining features like advanced image processing algorithms, easy-to-use interfaces for viewing and interpreting results, and robust integration capabilities with other medical software systems. The software should support various image formats and be scalable to handle large volumes of data. Additionally, it must adhere to medical data standards and regulations for security and privacy. This phase sets the foundation for what the software will achieve and how, ensuring that it aligns with the needs identified earlier and complies with industry standards.
To do this, we must first determine which programming languages, frameworks, libraries, and databases will provide the best support for achieving the project’s goals.
Considerations include-
It’s crucial to adhere to industry best practices and standards when developing medical software. This means following guidelines such as IEC 62304 for medical device software, NIST guidelines for cybersecurity, HIPAA for patient data privacy, and GDPR for data protection.
In the development of medical software, constructing an MVP is a critical step. It entails creating a basic but functional version of the software that includes only the core features necessary to address the primary problem it aims to solve.
Essentially, an MVP allows developers to learn, adapt, and improve the software iteratively, ensuring that the final product truly meets the needs of its users.
Explore our guide on “What is Interactive Prototyping? Steps to Build an MVP for Your Healthcare Product” to understand why prototyping your product is essential and how to execute it effectively.
Coding the software according to the defined requirements and scope constitutes the development phase.The next step is rigorous testing to find and fix any remaining problems.
The purpose of software validation is to confirm that the developed program is error-free and by all applicable specifications. The process of deploying software entails making it available for general consumption. Agile methodologies like Scrum or Kanban often manage this process iteratively and incrementally.
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Once the software is deployed, it’s important to continuously monitor its performance, evaluate user feedback, and improve based on these insights.
Every healthcare organisation has its unique set of challenges and requirements, underscoring the need for custom healthcare software development. With this in mind, let’s explore some key features that are essential in custom medical software, each tailored to enhance functionality, improve patient care, and streamline healthcare operations.
Efficiency in healthcare often hinges on how easily providers can use their software. A user-friendly interface is key. It’s not just about ease of use—it directly impacts productivity and can even affect physician well-being. Research from the American Medical Association makes this clear: a slight improvement in EHR usability can significantly reduce physician burnout. In fact, just a one-point increase in usability scores can lower burnout rates by 3%.
Ready to take the next step in designing your digital health solution? Whether it’s a mobile app, website, or web-based application, our step-by-step guide and UI/UX best practices are the blueprints you need. Connect with us today to create healthcare software that stands out in the digital age.
Given the sensitive nature of medical data, the software must have robust data security and privacy features. This includes encryption, access controls, audit trails, and compliance with regulations like HIPAA and GDPR.
Understand more about HIPAA compliance in software development with our blog: HIPAA Compliant Mobile App Development: Features, Solutions & Cost
While both integration and interoperability involve the handling of data from multiple sources, there are slight differences between the two.
Data Integration refers to the process of combining data from different sources into a single, unified view. In the context of medical software, this might involve merging patient information from various departments within a hospital, like radiology, pathology, and general medicine, to create a comprehensive patient record.
Interoperability, on the other hand, is about the ability of different software systems and devices to communicate and work together effectively. In healthcare, this means different software systems, like those used for EHRs, diagnostic tools, and appointment scheduling, can exchange and interpret shared data.
Discover how to build integrated digital ecosystems for healthcare. Read our blog “Interconnected Care: The Journey to a Unified Digital Ecosystem” and learn how we can enhance interoperability in care delivery together.
The ability to analyse and visually present data in an actionable format is key. This feature aids in decision-making and can reveal critical insights into patient care and operational efficiency.
Every healthcare organisation has unique needs and requirements. Therefore, the software should be customizable to meet these needs. Additionally, it should be scalable to accommodate growth and changes in the organisation.
While it isn’t without its challenges, the advantages of custom software development in the healthcare sector are undeniable. With the right processes guided by efficient tech partners, healthcare organisations and providers can tap into the potential of healthcare software. “Every line of code brings us closer to more efficient healthcare solutions, which are smarter, faster, and more user-centric than ever before,” says Kumar Gururajan, Chief Technology Officer at Montar HealthTech.
When choosing a tech partner for your medical software development, finding a team proficient in various custom healthcare software development services simplifies the process! Montar’s wide range of expertise covers all stages and cycles of the development process, ensuring a seamless and successful journey for your healthcare solutions.
Find out more about our company and the team!
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