Whether companies develop dedicated systems to gather and process session data from blood transfusion devices, connected insulin pumps, smart inhalers, home dialysis machines, or any other intricate eHealth IT products, the journey from a concept to a fully reliable medical device involves numerous phases of testing.

In addition to multiple laboratory validations, equally important is the involvement of seasoned QA engineers who ensure that embedded medical software intended for these devices meets the required operational and security standards. Moreover, they help confirm that artifacts correspond to the demands of regulators like FDA and align with standards such as IEC 62304 and ISO 14971.

In this article, let’s delve into QA’s role in creating failsafe electronic healthcare products and essential software testing activities for ensuring compliance, reliability, and patient safety.

Why correctly functioning embedded software matters within medical devices

Medical devices have progressed from simple mechanical instruments to sophisticated, software-driven systems. Embedded code now handles everything from sensor calibration and drug delivery to touchscreen controls and secure wireless data exchange. Modern MRI scanners, laser-surgery units, anesthesia machines, PET scanners, ventilators, and many other devices depend on this software to operate safely and accurately.

Within this context, even a minor glitch can have life-threatening consequences. While software errors in consumer products may lead to just inconvenience, in medical devices they present serious risks to patient safety, underscoring the need for rigorous, fail-safe performance. Just have a look.

Several years ago, critical vulnerabilities were detected in insulin pumps that could enable attackers to remotely interfere and set up incorrect doses of insulin. Although the FDA issued a safety notice, the manufacturer didn’t act right away. To drive the point home, the researchers built a proof-of-concept exploit; the public exposure finally forced a product recall. Or another example. A company recalled its software following the discovery of a critical defect that could cause mismatches between programmed drug data and the infusion device it supports. This posed a risk of incorrect medication dosing, leading to serious or even fatal outcomes.

Moreover, eHealth is a highly regulated industry, where even the slightest incompliance with international standards such as IEC 62304 can trigger serious legal and financial repercussions, including fines, exclusion from key markets like the EU or US, and disruptions to product timelines. The ripple effect also incorporates diminished trust from customers and stakeholders. That’s why rigorous software compliance isn’t only a regulatory necessity but a cornerstone of sustainable business strategy.

End-to-end QA strategy to support device manufacturers and healthcare institutions

Early and rigorous embedded software testing is crucial to keep medical devices reliable under every intended condition. Here’s the list of vital QA activities reinforcing eHealth device development and addressing potential hazards caused by software errors.

  1. Performance testing

This activity is critically important when ensuring quality of software embedded in medical devices, as they often operate in life-critical environments where failure or underperformance can lead to serious harm or even death. By rigorously evaluating the system’s behavior under both typical and extreme conditions, this process helps prevent unexpected failures and ensure dependable operation.

During testing, QA engineers design test scenarios that closely mimic real-world operating conditions, simulating sensors operating simultaneously, user interactions, and network communications. Afterward, they run stress, load, spike, soak testing, and other vital verifications to confirm the device can seamlessly handle the load during set time without any degradation, memory leaks, or resource exhaustion.

Additionally, often the network of systems under test and medical devices is very intricate, requiring QA engineers to come up with tailored performance testing approaches. For instance, for a company that created a system for processing session data from blood transfusion devices, QA engineers created emulators and complex data simulations to replicate behavior of live medical equipment under various load conditions. This enabled the team to evaluate how the software handled high-frequency data streams, device synchronization, and real-time processing demands within a multi-hospital environment.

  1. Functional testing

Functional testing of embedded medical device software confirms that it consistently performs as intended under all conditions, adheres to clinical requirements, and assists medical practitioners in making accurate decisions.

To ensure failsafe operation of every build, QA specialists simulate real-world scenarios and perform various verifications (from smoke and new feature testing to regression checks and defect validation) to validate key functions, such as data input/output or device responses. This approach helps maintain software stability throughout the entire development life cycle and prevent issues from slipping into the production environment.

  1. Security testing

Security testing is non-negotiable for embedded medical-device software: a single vulnerability can let attackers manipulate treatment settings, steal patient data, or knock out hospital systems. Assessments must therefore follow strict standards including FDA guidance, HIPAA, IEC 62304, and similar rules, to guarantee data privacy and to ensure that no failure can jeopardize patient safety or lead to fatal outcomes.

During a comprehensive audit intended to gauge software security level, QA engineers conduct penetration testing replicating the attacks performed by malicious intruders to analyze the system’s ability to resist and remain operable despite anything. With the help of static code analysis, they can early catch such code-related flaws as injections or unsafe functions, assisting developers in mitigating problems before the deployment. Testing experts also confirm that QA artifacts (test plans, test cases, defect reports, risk assessments, traceability matrices, etc.) follow regulatory requirements, ensuring that all detected security problems have been properly addressed.

  1. Localization testing

Medical device software must be precisely tailored for each market it serves. Localization testing helps address linguistic, cultural, and legal variations, supporting both safety and usability. QA engineers lead this effort by validating that the interface and functionality remain consistent and compliant in all supported locales.

To be precise, they make sure the whole text is translated and is in line with medical language, fields accept localized characters, error messages, warnings, speech output work correctly in necessary languages, date and time are of suitable formats, the interface adjusts seamlessly to changed text lengths, and other vital aspects.

  1. Compliance testing

Ensuring regulatory compliance is essential when developing embedded software for medical devices, as these systems directly influence patient well-being. This process evaluates whether the embedded software can withstand unexpected scenarios and has necessary safety measures or failure responses. It also ensures that every requirement is validated through test cases, with detailed documentation maintained for regulatory audits.

During this crucial step, QA engineers analyze requirements to construct test coverage matrices that ensure complete verification. They create strategic test plans that meet regulatory guidelines, run tests, and confirm that potential software risks are properly mitigated. Their work culminates in the preparation of audit-ready artifacts to help companies pass regulatory review.

  1. Test automation

Market urgency pushes teams to release feature-rich IT solutions rapidly, often leaving insufficient time for thorough testing. This can turn into a particularly pressing issue if organizations mainly rely on manual verifications, as they risk facing prolonged testing workflows that will only escalate with each additional software module.

That’s why test automation can become a valuable addition to the project, allowing specialists to meet quality gates on time, which is proved by 60% of the latest World Quality Report respondents who stated that test automation helped them successfully deliver more features.

During the project, QA automation engineers can configure CI/CD pipelines, create tailored AI-empowered test automation frameworks from scratch if necessary, develop scripts to cover extensive regression and new feature testing scope, and ensure ongoing maintenance of the established solution.

Failure isn’t an option

Within an eHealth industry, people’s lives often depend on tech innovations. Medical devices levering them should operate flawlessly without compromising safety, accuracy, or regulatory integrity. Comprehensive QA plays a pivotal role in ensuring failsafe operation of intricate software embedded in this equipment, helping gain regulatory approval and eliminate even minor glitches.

Want to ensure regulatory readiness of your medical device embedded software and prevent operational disruptions? Contact a1qa’s team to get a professional consultation.

As companies navigate the rapidly evolving landscape of medical technology in 2024, it becomes imperative to stay attuned to the latest industry trends, helping revolutionize patient care and eHealth services.

However, to realize the full potential of these innovations, businesses should focus on quality assurance to smoothly implement them. Stringent QA practices serve as a linchpin to ensuring seamless integration of these cutting-edge solutions into existing healthcare systems while allowing companies to meet the highest standards of security, compliance, and reliability.

Let’s look at the predictions of the most impactful digital health trends for 2024!

Trend #1. Generative AI

Generative AI presents a promising avenue for numerous tasks within the healthcare area both related to administrative functions and care delivery. It helps streamline workflows, optimize sleep monitoring, improve radiological imaging, and better predict clinical outcomes. It can be especially valuable in:

  • Conducting smart diagnostics. AI-powered solutions use data from electronic health records, imaging, patient conversations, biometrics, and wearable devices to assist doctors in making accurate diagnoses.
  • Creating personalized treatment plans. AI tracks an individual’s sleep, nutrition, exercise habits, environmental influences, and vital signs to enable a comprehensive understanding of patients’ health needs.
  • Managing population well-being. AI processes large sets of information, identifies risk factors, and analyzes the prevalence of disease within specific demographic groups to improve health indicators.

Another use of generative AI in 2024 is customizing medical products and services. According to McKinsey research, about 1 in 5 US consumers prefer to receive personalized offers and recommendations. Thus, with gen AI, healthcare leaders will be able to provide more tailored experiences, foster greater end-user engagement, and increase patient satisfaction.

Trend #2. Cybersecurity

With the proliferation of digital medical platforms and the increased exchange of sensitive patient information, safeguarding data against cyber threats emerges as a top priority for the healthcare industry.

Just look at these daunting statistics: the number of data breaches in eHealth increased by 93% from 2018 to 2022, with the average cost of one leakage reaching $4.9 million.

Therefore, organizations should adopt robust cybersecurity measures, including encryption protocols, multi-factor authentication, and systematic security audits, to protect end-user privacy, prevent malicious attacks, mitigate the risks of unauthorized access. It will also help uphold consumer trust, ensure regulatory compliance, and maintain the confidentiality and integrity of sensitive medical information.

Trend #3. AR/VR

The AR/VR market size in healthcare is increasingly growing. According to Statista, in 2022, it totaled $2.3 billion while is expected to reach $25 billion in 2030.

Source: Statista

And it’s not a surprise. Companies invest in these technologies as they bring numerous benefits to the table and can be applied for:

  • Medical education and training

AR/VR can simulate realistic medical scenarios, allowing healthcare experts to practice surgeries, clinical procedures, and diagnostic skills in a safe and controlled virtual environment.

  • Remote consultations

Telemedicine has become an essential component of modern healthcare delivery, enabling people to access medical care from home at any time. AR/VR technologies offer more immersive and interactive experiences for both patients and healthcare providers. With the help of AR/VR technologies, patients receive personalized treatment plans to address their concerns, while healthcare providers can conduct examinations remotely.

  • Complex surgical operations modeling

Professionals can use AR/VR to visualize patient anatomy in three dimensions, plan surgical activities, and imitate arduous procedures before performing them in real life, reducing the risk of errors.

  • Anxiety treatment

1 in 5 US adults suffer a mental illness. However, only 47.2% of them received the required therapy. AR/VR can bring significant benefits as it promotes a comfortable and risk-free environment for receiving treatment and confronting fears.

With AR/VR innovations at the core of their business strategies, companies can stay ahead of the curve while enhancing the delivery of patient care, improving clinical outcomes, and revolutionizing medical training.

QA practices to implement 2024 eHealth trends with ease

With these trends in mind, we’ve compiled a checklist, featuring 6 key testing types, to assist you in navigating through incorporating eHealth trends in a hassle-free manner. Take a deep dive!

Testing type #1. Cybersecurity testing

Conduct comprehensive safety assessments to identify and mitigate potential vulnerabilities in eHealth apps, safeguard patient data against unauthorized access, and ensure the confidentiality of sensitive information.

Testing type #2. Compliance testing

Validate adherence to relevant healthcare regulations and standards, such as HIPAA, FDA, and GDPR, to mitigate legal risks and maintain consumer trust and confidentiality.

Testing type #3. Integration testing

Ascertain that different modules, databases, and external systems within eHealth products communicate smoothly to mitigate the risk of integration failures and data discrepancies.

Testing type #4. Performance testing

Assess the speed, scalability, and reliability of eHealth software under different scenarios to detect and eliminate performance bottlenecks and ensure consistent and responsive end-user experiences. In case your app is integrated with AR/VR, assess how well it operates under real-life conditions.

Testing type #5. Accessibility testing

Confirm that eHealth solutions provide inclusive and equal access to medical services, including their AR/VR features, for individuals with diverse needs, involving those with disabilities or language barriers.

Testing type #6. Functional testing

Ensure that healthcare products and embedded AR/VR elements within them meet specified requirements and operate as expected while user interactions, data processing, and system workflows have no inconsistencies.

Briefly

In 2024, healthcare providers can leverage these industry trends — generative AI, cybersecurity, and AR/VR — to stay one step ahead of market competition and innovate the delivery of patient care.

As the process of incorporating tech tendencies into current workflows entails several hurdles, businesses should focus on QA practices to ease the path. They include cybersecurity, compliance, integration, performance, accessibility, and functional testing.

In case you’d like to get professional advice on improving the quality of your eHealth solutions, get hold of a1qa’s team.

With the advent of advanced tech, healthcare institutions have leaped forward in embracing a digital mindset to transform and enhance relationships with patients. By applying innovations such as AI, VR, 3D printing, gene editing, and many others, medical establishments revolutionize their approaches to care delivery and prolong our life expectancy.

However, when applying this state-of-the-art software, healthcare employees use personal patients’ data more than ever before relying on health conditions and previous disease records. This is why while developing digital clinical assistants, we suggest making sure they comply with standards and don’t cause any harm.

Among the most pervasive regulations in healthcare, HIPAA stands out ― The Health Insurance Portability and Accountability Act. Aiming to defend sensitive patients’ data, every eHealth solutions developer tends to follow these inviolable safety obligations.

In the article, we bring to notice the HIPAA benchmarks and shed light on the strictly required data security aspects that aim to provide patients with greater control over their personal data and ensure its full protection. Furthermore, we appraise how QA and software testing services can help comply with the established norms.

Standards: regard or disregard…

Due to being among life-threatening industries, healthcare doesn’t excuse any errors. Even a minor one can trigger critical consequences for human well-being. Let’s say an unintentional misprint in prescriptions may cause inappropriate treatment or no treatment at all. Inaccurate medical equipment setup can implicitly affect the health state. If not mentioning negative scenarios that may occur when compromising on software quality and not adhering to requirements.

As it’s a mandatory step of verifying eHealth solutions’ functionality before going live, the HIPAA community sets penalties for violations of the regulations. In 2022, alongside a substantial increase in fines, reaching $60,973 only for a minor violation, the number of breach cases has also grown.

Moreover, businesses with 500 and more individuals impacted by leaks get to the Breach Notification Portal, known as the “Wall of Shame,” severely tarnishing the company’s reputation and reducing patients’ loyalty.

Shifting to digital document storage and management, information protection is gaining a greater priority. Businesses should implement safety measures, as private data might turn to the object of cyber attacks and inappropriate data usage. HIPAA Journal indicates the number of malicious actions is only soaring within years. In total, around 50 million Americans were affected by health data leakage in 2022.

Source: HIPAA Journal 2023

Following three of HIPAA’s cornerstones

Within this eHealth law’s legal force, every organization and its partners that perform whatever activity over PHI undertake to comply with the Act’s requirements. It begs the question, what are those rules eHealth solutions should coincide with?

Despite the norms’ intentional vagueness, sensitive information keepers should take the digital, material, and managerial guarantees into work, as well as risk evaluation and ways of eliminating information breaches’ consequences.

Let’s get a more detailed grasp of each HIPAA’s basic pillar, helping provide PHI integrity and complete privacy.

1. Technical safeguards

Hacking and IT incidents are now the foremost means of data security violations. Though organizations are now much better trained to expose malicious usage, the number of cyber attacks is only increasing. By 2022, it reached 707 cases in a year.

Intended to protect PHI, digital regulations assume data encryption whether it transfers within a company, moves outwards on an organization’s internal firewall servers or is kept in storage. Hence, if the data falls into the hands of fraudsters, they won’t be able to read, decipher, and harness personal details.

While encryption is becoming a mundane phenomenon, HIPAA proposes to adhere to the following standards to defend the data:

  • Access control – providing access to electronic PHI only to authorized individuals and preventing unauthorized penetration.
  • Audit control – recording all actions related to electronic PHI, such as deleting or changing data in the electronic medical card.
  • Integrity – ensuring the consistency of stored information and eliminating its destruction by unauthorized users.
  • Person or entity authentication – verifying that the authentication process goes smoothly.
  • Transmission security – checking the encryption and safety of the electronic PHI delivery methods.

2. Physical safeguards

Moving beyond the online space, organizations should keep all kinds of devices leveraged to access PHI safety. They opt for various scenarios of storing data, and have to be well-secured to avert unsolicited information usage. On-premises, cloud, or rented servers ― it’s no matter.

So, HIPAA material protection measures include 4 enforcing regulations:

  • Facility access controls – restricting physical access to PHI.
  • Workstation use – eradicating a possible negative impact and security risks related to the workstation’s surroundings.
  • Workstation security – adopting physical protection to all workstations that possess access to PHI.
  • Device and media controls – verifying the transfer, removal, and reuse of electronic media, containing PHI.

3. Administrative safeguards

One more pivotal aspect of a HIPAA compliance checklist is risk regulations. This area is under the most thorough control, which is held continuously to ascertain the company’s holistic and sustained risk management. To meet the norms, HIPAA’s specialists recommend complying with a set of standards to evaluate the already existing safety measures and analyze possible hazards.

QA as an accelerator of suiting HIPAA’s checklist

The development and digital life of any IT solution are speeding up with years. Due to heavy competition in the market and high user expectations, companies are to release reliable software at short notice.

As for eHealth products, companies should consider their potential functioning failures with particular emphasis. Quality assurance can be a powerful way to eradicate them, ensure flawless operation, and meet all the safety requirements.

Security testing lays in the heart of getting HIPPA compliance, as its main purpose is to ensure data privacy and end-user confidence in the application. Penetration testing is the most progressive and topical approach to derive these results. Acting like real hackers, the specialists may identify the bottlenecks in advance, so they can decrease chances of cyber incidents.

Since medical software products often receive updates and new components, it’s crucial to continuously track that they do not contain any vulnerable points. As this is a time-consuming activity, businesses adopt test automation to speed up regression checks and deliver a high-quality IT product to the market on time.

However, HIPAA compliance is not the only thing that indicates that an eHealth solution operates well and satisfies customers’ needs. Noteworthy is looking at the application from various angles to ensure its comprehensive and smooth work. As there’s no one-size-fits-all QA strategy for every project, specific business demand and objectives speak volumes about an appropriate QA package.

But companies may choose full-cycle testing, a one-stop QA measure that helps determine the necessary testing types performed during all the SDLC steps. It can include functional and compatibility testing or mobile and performance testing, or others that suit the project’s goals. Thus, one might be confident in the software quality and avert any kinds of defects in the go-live stage.

Taking an example, a1qa’s team provided all-embracing QA support, including assistance in HIPAA compliance, to a developer of the wellness portal and mobile apps. In addition to getting ready for passing HIPAA certification, the QA specialists performed thorough functional and compatibility testing, as well as test automation. Thanks to this, the solution under test successfully underwent the security and privacy control and featured total data protection.

In a nutshell

Within the healthcare industry’s gravity, standards compliance has become an integral part of medical software development.

According to HIPAA regulations, any eHealth solution should comprise technical, physical, and administrative safeguards as well as continuous maintenance.

To ensure medical IT products’ release and attain high quality and complete privacy, businesses should consider software testing as an inalienable SDLC step. By applying a need-driven QA bundle, you can meet desired outcomes and enhance customer satisfaction within tight deadlines.

Need support in eHealth software testing? Reach out to us to get a consultation with our QA experts.

The healthcare sector was definitely not that ready for an unforeseeable February situation forcing clinicians to re-image their attitude to novel technologies in medicine. Undoubtedly, innovations have become an inextricable part of the human experience.

People’s values are shifting, and digital age technology models are increasingly out of sync with them. Despite broadly benefitting from technology, people are expressing concerns about their usage and focus. They are turning to health more than ever to get answers about their day-to-day tension.

But how can one provide the ground for safer harnessing eHealth tools and ensure consumer confidence? Welcome to reading our article, focusing on the following:

  • Topical healthcare innovations
  • Why it is crucial to deliver high-quality eHealth apps
  • How to do it effectively.

Let’s get started.

Digital medicine trends

Gone are the days of mass services. Now, medical centers focus on personalized treatment, as every person feels different about the same disease. Genetic information, access to big data, and the Internet of medical things technology unlock the customer-centric approach.

People had to leverage non-standard solutions to surmount the hurdle of an unprecedented situation. Within lock-down, they interacted at a distance to solve any issue, including receiving medical care. Using telecom technologies, the number of virtual visits to medical institutions has increased by more than 15 times.

Smartphone usage has grown as well. Statista’s report showcases 70% of respondents prefer using mobile devices that have emerged to collect symptoms data, notify about risk zones, and provide information about contacts’ health condition.

For years, artificial intelligence has been one of the most pervasive technologies. According to the World Quality Report 2019-2020, overall investment in AI in the healthcare sector is higher than average, and more medical organizations are planning to introduce it.

Today, the innovation helps to identify diseases, select the necessary treatment, create the optimal drug formula, and much more. Frost & Sullivan estimates AI in the healthcare sector will grow by 40% per year, so its market share will be close to $6.6 billion by 2021.

More and more medical institutions are switching to electronic systems that store a large amount of patients’ information. Big data technology helps organize all the data and fit it into one format that is available to any healthcare center.

Machine learning algorithms are able to predict the means of treatment for patients. Novel technologies are paving the way for an all-embracing grasp of health essence, therefore, people will possess ample opportunities to choose suitable medical care.

Considering all mentioned above, the volume of the global eHealth market is forecasted to be more than $630 billion, as Statista showcases.

ehealth market
Resource: Statista

The gravity of quality assurance in eHealth

In line with global digitalization, IT solutions development and sophisticated new technologies implementation are increasing in healthcare institutions. Only thorough testing before going live one can guarantee unhindered software operation under real conditions.

Noteworthy is that every mistake in a medical solution triggers adverse consequences that threaten human well-being. For example, the occasional substitution of health test results may cause inappropriate treatment or no treatment at all. Incorrect configuring clinical equipment can spoil condition parameters that will also affect the health state.

By shifting to electronic document management, information security in medical centers is up the ante. Miscellaneous personal data is often of doctor-patient confidentiality.

Like all applications, medical solutions are at risk of cyber attacks and malicious data usage. From time to time, we hear unpleasant stories of customer information being shared with third parties, including credit agencies, advertising companies, and private organizations. Yes, that sounds like a big problem.

Every information system in the healthcare sector should be developed in compliance with the security and confidentiality requirements defined by GDPR in the European Union and HIPAA and COPPA in the USA. These measures allow users, for example, to ask for any information erasure or explanation of the reasons why a particular piece of data needs to be stored.

Thus, timely testing prevents possible bottlenecks and shortcomings in IT solutions, thereby avoiding data leaks, customer concerns, and deterioration of the institution’s reputation.

QA in eHealth: effective testing

Agile has been a mainstream development approach in the healthcare sector for the last two or three years, the World Quality Report 2019-2020 indicates. However, businesses still confront challenges in their usage, especially in providing an appropriate level of test automation.

Within great responsibility for human well-being and a number of issues during development, healthcare applications need thorough testing. The choice of services depends on the IT solution’s peculiarities and business goals.

Functional testing

The importance of functional checks is reinforced by a1qa’s success story about providing QA services to a leader in medical equipment production.

The specialists were responsible for testing the system applied for collecting, storing, and processing session data from blood transfusion devices. When estimating solutions’ safety class according to IEC 62304 standard, it was assigned the Class C — death or serious injury is possible.

Within such severity of eHealth solution, it was vital to onboard professional QA engineers, who were to pass an introductory course. After getting satisfactory results, they verified all functionality for compliance with the requirements and the IEC 62304 standard.

During functional testing, the team performed smoke tests to ensure the absence of critical issues that could impede further activities and harnessed new feature testing. Regression testing and defect validation helped ensure changes didn’t affect previously developed units.

Performance testing

A large amount of data involves multiple operations that may affect the system stability. Therefore, a1qa’s experts recommend checking the software response to a heavy load and identifying the peak number of simultaneous sessions before the product goes into production.

a1qa helped ensure flawless operation of the medical system applying the user behavior approach. Simulating real users’ actions, the experts gauged the velocity of the system reaction to operations and analyzed its behavior under a certain load.

Testing big data

Integrity and completeness are the cornerstones of a confident and safe patient data transferring process ubiquitous for medical institutions.

a1qa has experience in ensuring data accuracy for a corporation that provides professional services to pharmaceutical companies. The main challenges were verifying the complex business logic of databases composed for customers and a great volume of work. Despite the issues, the specialists worked out an approach for streamlined big data testing and improved product quality.

Test automation

Healthcare IT solutions require completely accurate testing. Alongside QA processes optimization, test automation helps minimize the human factor, namely errors. However, this testing type is not a silver bullet. The World Quality Report indicates companies developing eHealth products face challenges with test automation implementation due to the inappropriate skills and tools and hindrances with testing environments.

To move on, organizations should leave the manual process behind and introduce a strategy of lean automation. That means the case is worth to be automated if the feature is to be checked frequently and isn’t likely to change within a few weeks.

In a nutshell

A new era of medical care paved the way for novel core concepts including information technologies, patient-centric approach, and process improvement. But the only thing that remains static is that errors are inadmissible.

Innovation has turned into assistants helping save lives. eHealth solutions need comprehensive and effective testing to match doctors’ excellent performance.

Wish to get high-quality healthcare software products? Get hold of us, and a1qa’s experts can help you address the challenge.

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