AI-based Pharma Application Development

Pharmaceutical app development with personalized functionality using artificial intelligence best practices to boost patient engagement. Leveraging machine learning algorithms to improve prescription accuracy for better patient outcomes. Implementing automation to reduce human error in core operational tasks while ensuring software compliance with healthcare data handling regulations.

client

NDA

Germany
92 employees

With a forward-thinking vision to embrace digitized healthcare and modernize business operations, a prominent healthcare provider decided to start their AI journey with Acropolium. The client required comprehensive pharmacy app development services that would automate prescriptions filling, ensuring accurate and secure processing of sensitive patient data. At the same time, we had to take care of patient engagement, setting up a system of automatic reminders and in-app online appointments.

pharma application development development case study by Acropolium

request background

Online Pharmacy App Development Solution to Harness AI

While the focus on adopting artificial intelligence prevailed, the company also wanted to leverage advanced machine learning algorithms to eliminate mistakes and inconsistencies in patient prescriptions. Also, the client asked us to set up automation modules for inventory management and prescription processing to enhance their service speed.

Apart from improving overall medical system efficiency, our client's core intent was to provide a smooth patient experience, building trust in their app users with a cutting-edge approach to healthcare.

Having assessed the project requirements and objectives, we collectively decided to build a convenient patient portal. With essential pharmacy app features in mind, we prioritized personalized medication reminders and virtual consultations.

pharma application development case study by Acropolium

challenge

Creating a Pharmacy App with Multi-Purpose Legacy Integration

A significant roadblock was ensuring that the AI system could account for complex drug interactions and patient history while adapting to the constantly evolving pharmaceutical database. Additionally, getting staff accustomed to new AI-driven workflows posed a business challenge in terms of adoption.

Ensuring seamless integration of health monitoring tools into a user-friendly interface was another technical challenge during this pharma application development. On the business side, the difficulty involved overcoming patient reluctance to embrace digital health tools and managing the costs of developing and supporting these features at scale.

Automating inventory management and prescription processing required a robust AI and machine learning system capable of predicting demand, managing stock, and optimizing workflows in real time. Potential technical challenges revolved around integrating smart algorithms with legacy systems and ensuring that the automation worked effectively without human intervention.

Lastly, adherence to strict EU regulations around patient data protection and pharmaceutical standards necessitated extensive testing and validation of the AI systems. Implementing rigorous data encryption and security protocols like HIPAA, in turn, presented a significant technical difficulty.

Overall, the complexity of navigating and staying up to date with regulatory policies posed tangible business challenges. Thus, our task was to proactively avoid delays in deployment and increased costs associated with legal compliance efforts.

goals

Reduce human errors in medication dispensing using AI-powered systems.
Introduce personalized pharmacy app features like medication reminders, virtual pharmacist consultations, and health monitoring tools.
Streamline processes such as inventory management and prescription processing to cut costs and boost service speed.
Maintain adherence to EU regulations on patient data protection and pharmaceutical standards.
Build a scalable, future-proof platform for continuous adaptation to new technologies.
Lower operational expenses while maintaining high standards of patient care.

solution

Pharma Application Development: Robust Integration, Automation & Compliance

.NET Core, Entity Framework Core, Azure Cognitive Services, React.js, TypeScript, Tailwind, Microsoft Azure, Azure Kubernetes Service (AKS), Azure SQL Database, MediatR, Automapper, FluentValidation, Hangfire
16 months
7 specialists

When developing this online pharmacy app development solution, we thoroughly analyzed the client's business goals and budget for technical implementations. Leveraging .NET Core and Entity Framework Core, we built the app's backend to handle data processing and communication with the AI algorithms properly. This allowed for precise prescription management, substantially reducing errors.

Azure Cognitive Services was integrated to enable advanced features like real-time medication validation and virtual pharmacist consultations. As a result, this further facilitated accuracy and expanded patient interaction.

We built a responsive and intuitive user interface using React.js and TypeScript, with Tailwind providing modern styling, while personalized features like medication reminders and health monitoring tools enhanced patient engagement.

To streamline workflows, we utilized MediatR, Automapper, and Hangfire to automate management and prescription processing activities.
The online pharmacy app solution was deployed on Microsoft Azure with AKS for scalable management and Azure SQL Database for secure storage.
Our developers ensured compliance with EU regulations through FluentValidation, enforcing strict data validation rules.
Microsoft Azure's secure architecture safeguarded healthcare data, ensuring full GDPR compliance.
We designed a responsive and user-friendly front end using React.js, TypeScript, and Tailwind, enhancing patient interactions through personalized features.
Acropolium provided full compliance with EU regulations through FluentValidation, supported by Microsoft Azure's robust security architecture.

outcome

Online Pharmacy App Development Solution Boosting Operational Efficiency and Patient Loyalty

Automating inventory management and prescription processing increased efficiency by 30%, reducing manual tasks and speeding up operations.
With AKS enabling seamless scaling, the system easily adapted to growing demands while lowering operational costs.
Personalized features boosted customer retention by 15%, fostering stronger patient relationships.
Compliance with EU regulations, backed by Azure's secure infrastructure, significantly boosted data security, enhancing patient trust and reducing the risk of breaches by 25%.

pharmacy app development company's case study on AI in healthcare

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