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HEALTHCARE, MEDTECH, ONCOLOGY, NEUROSCIENCE

Healthcare Software Development for MedTech & Hospitals

Healthcare software development is transforming how hospitals, research centers, and MedTech companies deliver care. From telemedicine platforms and EHR systems to AI-powered diagnostics, modern healthcare requires secure, compliant, and interoperable digital solutions that work reliably at scale. At Lasting Dynamics, we design and build custom healthcare software solutions for web, mobile, and enterprise environments. Our platforms support clinical workflows, patient engagement, and medical research, while meeting strict HIPAA and GDPR compliance requirements. We partner with healthcare organizations and MedTech innovators to deliver scalable, regulation-ready software, combining deep technical expertise, agile development, and proven experience across healthcare, oncology, and neuroscience.

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Healthcare & MedTech solutions

Our custom healthcare software development solutions cover every core area of digital health and MedTech innovation. Each platform is designed for interoperability, scalability, and compliance, ensuring a seamless experience for both patients and professionals. We build secure and scalable healthcare applications that empower medical teams to work smarter and keep patients engaged across the entire care journey.

Interoperability & modern technology stack

Modern healthcare demands modular, scalable technology. We build platforms using a stack designed for performance, interoperability and future‑proofing.
GraphQL 实施专家

Data management & APIs

We use PostgreSQL and Prisma for robust healthcare data modeling, combined with GraphQL APIs for secure, unified access across platforms. Our API integration services support FHIR and HL7 standards, enabling seamless interoperability between hospital systems, laboratories, and medical IoT devices. By centralizing healthcare data management, we ensure scalability, security, and compliance with HIPAA and GDPR across connected systems.

AI & analytics frameworks

Our AI frameworks for healthcare analytics, built with PyTorch, TensorFlow, and scikit-learn, enable predictive diagnostics, clinical analytics, and real-time decision support. By combining machine learning, NLP, and data science, we transform complex medical data into actionable insights, validated through research in oncology, neuroscience, and precision medicine.
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Modular microservices & cloud infrastructure

We design healthcare platforms using a modular microservices architecture, allowing each component to be deployed and scaled independently as clinical and enterprise needs evolve. Using secure APIs, containerized environments, and AWS, Azure, or hybrid cloud solutions, we deliver reliable, compliant, and scalable healthcare applications without downtime or data loss.
反应

Front‑end frameworks

We build HIPAA-compliant front-end applications using React, Next.js, and React Native for web and mobile. Our healthcare UI frameworks ensure accessibility, performance, and secure data handling, helping organizations deliver faster, more reliable digital health experiences across devices.
The INFANT platform, developed within the MUSA public research initiative, connects pediatric oncologists, caregivers, and researchers through a unified digital environment. It replaces fragmented collaboration and manual reporting with secure data sharing and real-time analytics.

AI-powered pediatric oncology: bridging medical deserts with hub & spoke networks

We built a Hub & Spoke healthcare ecosystem connecting central hospitals with peripheral care centres.
The solution includes: a doctor portal with interactive multidisciplinary boards for case review, a caregiver mobile app to log vitals, symptoms, and photos, a patients directory with secure chat and file sharing and a medical hub map for clinics and caregiver communities.
Our AI-powered healthcare software enables early diagnosis, collaboration, and secure patient data sharing across regions.
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Interactive moard & multidisciplinary boards

Interactive dashboards support multidisciplinary case reviews, enabling oncologists to collaborate, share data, and make faster clinical decisions. Secure access and real-time updates improve coordination across care teams.

Predictive AI and generative AI for patients diagnosis

AI-powered models analyze medical data to support early diagnosis and clinical decision-making. Predictive and generative AI tools help clinicians identify patterns and improve diagnostic accuracy.

Patients directory & threads

A centralized patient directory enables secure communication, file sharing, and case discussions. Threads help medical teams collaborate efficiently while protecting sensitive patient data.

Supporting families with a dedicated caregiver app

日常护理、健康追踪与社区支持的智能助手

The INFANT Caregiver App helps families stay connected with medical professionals, track daily health updates, and access local healthcare resources.

Caregivers can log vitals, follow patient progress, locate nearby clinics, and interact within a trusted support network. Each feature is designed for clarity, speed, and confidence when it matters most.

Remote & decentralized care access

A distributed healthcare infrastructure connects central hospitals and local care centers. This hub-and-spoke model improves access to oncology care while maintaining security and compliance.

Patient engagement & experience

User-friendly dashboards, diaries, and notifications help patients stay engaged in their care journey and improve adherence. Clinicians gain real-time insights and contextual data to support timely, informed interventions.

Medical hub & caregiver community

A digital medical hub connects clinics, caregivers, and local healthcare communities. It supports secure collaboration, knowledge sharing, and coordinated patient care across regions.

Data protection in european healthcare software: built on trust and compliance

Designing and maintaining healthcare software that meets Europe’s most rigorous data protection laws requires more than security, it demands deep knowledge of GDPR, medical data standards, and AI compliance. That’s why our teams build every healthcare and MedTech solution with privacy-by-design, clinical data accuracy, and regulatory readiness at its core.

From GDPR-compliant platforms to AI Act-ready clinical systems, we deliver custom digital health software that helps hospitals, research centers, and MedTech companies achieve secure interoperability, protect sensitive patient data, and ensure full regulatory alignment across the EU.

Our goal is simple: to turn compliance into a competitive advantage - enabling smarter, safer, and ethically governed digital healthcare solutions.
网络安全定制软件符合 GDPR 标准

符合GDPR标准:

Our solutions meet EU-wide standards for data protection, security, and patient privacy under the General Data Protection Regulation. We develop GDPR-compliant healthcare software that safeguards sensitive patient data across hospitals and clinics.

人工智能行动就绪:

We follow the latest EU Artificial Intelligence Act, ensuring transparency, safety, and ethical AI in healthcare software. Our teams integrate AI governance frameworks into clinical and MedTech systems to ensure responsible innovation.

SNOMED CT

We adopt SNOMED CT medical terminology for data consistency and clinical accuracy. This supports semantic interoperability and improves collaboration between hospitals, labs, and research centers.

符合 HL7 标准

Our systems follow HL7 interoperability standards for secure data exchange across hospitals, labs, and third-party providers. We design HL7-compliant healthcare software to streamline information flow and improve clinical efficiency.

AI-powered spike sorting for neural & diagnostic data

Developed for Diagnostic Biochips, our AI spike sorting technology automates the processing of massive neural data sets.
By monitoring biological signals in real time, it organizes and analyzes terabytes of data within minutes. This dramatically reduces analysis time, enabling researchers and healthcare providers to make faster, data-driven decisions. As a result, the technology accelerates neuroscience research and supports the development of next-generation diagnostic tools.
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Automated data curation
Automates the preparation and cleaning of neural and diagnostic data sets, reducing processing time through AI-assisted pipelines. This enables faster data analysis and improves the reliability of downstream models.
High-precision sorting
Delivers accurate spike sorting and signal classification for high-fidelity neural data.
These precision workflows ensure consistent, reproducible results, improving confidence in diagnostic outcomes.
Scalable technology
Designed to process massive, multi-source data streams from medical and research devices. Its cloud-based infrastructure scales effortlessly, supporting larger experiments and faster iterations.

83%

更快的数据分析

5

节省的月份

"我们的云计算管道使一系列复杂的神经科学计算管道(通常需要数月至数年的编程和神经科学培训才能建立和运行)变得非常直观,只需在浏览器上点击几个按钮即可。

我们现在可以成功地在云上处理庞大的数据集管理。我们还构建并测试了一系列对神经科学研究非常重要的处理模块。

诊断生物芯片公司产品开发副总裁

美国医疗合规性:可扩展、安全且完全一致

Ensuring data security and patient privacy in the United States requires meeting the highest standards of HIPAA, CCPA, and emerging AI governance frameworks.

Our healthcare software is designed to deliver secure data exchange, cross-system interoperability, and regulatory compliance at every level: from enterprise health platforms to patient-facing applications.

We build and maintain HIPAA-compliant solutions that safeguard Protected Health Information (PHI), apply NIST cybersecurity standards, and align with U.S. healthcare data protection laws to ensure trust, accountability, and resilience across modern digital health systems.

符合 HIPAA 标准:

We comply with the U.S. HIPAA standards, ensuring the secure handling, transmission, and storage of protected health information (PHI) across all systems.

符合 HL7 标准

我们的平台支持 HL7(健康水平七)标准,确保在医院、实验室和第三方服务提供商之间可靠交换病历、诊断信息和临床流程数据。
符合 CCPA 标准的网络安全定制软件

符合CCPA标准:

We uphold U.S. patient privacy rights in accordance with the California Consumer Privacy Act (CCPA), protecting user data and digital consent.

AI Governance & NIST Frameworks:

We apply AI governance principles and NIST cybersecurity frameworks to build transparent, accountable, and secure healthcare software solutions.

Mirror me: AI face recognition and predictive health insights

Omne leverages AI and face recognition to deliver instant health insights through Mirror Me, which measures BMI, heart rate, and stress levels.


It integrates with fitness apps and health platforms, offering personalized assessments and rewards that encourage active, balanced lifestyles.

AI-powered face scan

Instantly analyzes facial metrics using the user’s smartphone camera, assessing BMI, stress level, and heart rate in seconds.

Personalized health insights

Uses predictive AI models to tailor recommendations based on vital signs, habits, and activity data for smarter wellness tracking.

Goal tracking

Helps users set measurable health goals and monitor progress with real-time feedback and gamified engagement tools.

10M

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与 Lasting Dynamics SRL 合作,在十个冲刺周期中实现了 100% 的测试用例完成率,所有测试都具有高质量且无回归问题。

团队展现出高度的透明度和开放性,确保项目管理流程顺畅。他们拥有良好的构建与追踪框架。

FWD 总监

Health me: AI-powered health tracking & scoring

This module analyzes key wellness data - including sleep, nutrition, body composition, and activity - to generate personalized health insights.

Health Me combines AI analysis, user input, and Mirror Me data to create a dynamic health score that reflects multiple lifestyle factors.

The app provides personalized feedback and detailed score reports, helping users make smarter decisions about sleep, nutrition, and activity.
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Body score

Uses age, gender, and Mirror Me inputs to provide insights into body composition, fitness, and general wellness. These AI-based health metrics help users monitor progress and manage their physical health more effectively.

Movement score

Tracks physical activity over time, analyzing steps, intensity, and posture through connected devices.
Provides real-time feedback to improve stamina and long-term mobility, supporting a healthier lifestyle.
Sleep score
Monitors sleep quality and duration across an 8-week cycle, measuring rest patterns and recovery time. Offers practical tips to enhance nightly recovery and maintain consistent sleep routines.
Nutrition score
Analyzes eating habits and caloric balance to provide AI-driven nutrition insights.
Helps users improve diet quality, maintain energy levels, and build sustainable, health-conscious routines.

行业专长

Why healthcare companies choose Lasting Dynamics

With over 50 SaaS and AI-driven platforms delivered across 20+ industries, we bring proven engineering quality and cross-industry innovation to healthcare software development.

Here’s why leading organisations trust us.

Proven healthcare experience

From pediatric oncology to neuroscience research, we understand the regulatory landscape and complex data requirements that define modern healthcare software development.

Cross‑industry innovation

We apply insights from finance, defense, and fintech to build healthcare platforms that combine security, scalability, and usability, helping organisations stay ahead of digital health transformation.

Agile & co‑creative approach

We collaborate with stakeholders throughout the AI-driven development process, adapting quickly to feedback and ensuring each solution meets clinical, technical, and patient-centric standards.

Global presence & support

With teams in the U.S., Europe, the Middle East and Southeast Asia, we provide round‑the‑clock support and understand regional compliance requirements.

Full lifecycle services

From UX research and product design to development, QA, and long-term maintenance, we manage the entire software lifecycle. Our partners focus on patient care while we ensure reliability, performance, and compliance.

Our approach to custom healthcare software development

We deliver end-to-end healthcare software development services, including UI/UX design, front-end and back-end engineering, and QA testing.
Our teams build secure, regulation-ready, and scalable applications tailored to each partner’s business goals — combining usability, performance, and clinical reliability.
We deliver healthcare UI/UX design for patient-centric products.
Accessible flows and clear navigation create user-friendly digital health interfaces across devices—grounded in usability standards and measurable outcomes.
发现更多
We provide front-end healthcare development with React and Next.js to build cross-platform interfaces. Fast, responsive UIs ensure optimal performance and accessibility for clinicians, patients, and providers.
发现更多
We build healthcare back-end development stacks with Node.js, Python, and cloud services. Architectures focus on data protection, interoperability, and reliable performance for high-volume medical data.
发现更多
We run QA testing for healthcare app, manual and automated - to verify security, accuracy, and performance. End-to-end tests ensure interoperability and release stability.
发现更多
UI/UX设计
前端开发
后端开发
质量保证

Insights & research from our healthcare tech blog

Explore in-depth articles on AI in healthcare, data security, and medical software development.
Stay ahead with expert insights on compliance, cloud architecture, and digital transformation in the healthcare industry.

Ready to build the future of digital health?

AI is transforming healthcare software development – from diagnostics to patient care. Partner with Lasting Dynamics to build AI-driven, compliant MedTech solutions that deliver secure, high-performance digital health platforms.
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Trusted by Leading Innovators in MedTech and Healthcare AI
Lasting Dynamics 是意大利最好的软件开发公司之一

Questions about healthcare software development

If you’re planning a custom healthcare or MedTech platform, here are the most common questions we get - from compliance and integration to AI features and support.

How do you ensure HIPAA and GDPR compliance?

We embed regulatory requirements into every system’s architecture from the start.
Through data encryption, access control, and regular audits, our platforms ensure full compliance with HIPAA, GDPR, and PCI DSS.

Can you integrate with existing hospital systems?

Yes. By adopting HL7 FHIR and other interoperability standards, our platforms integrate seamlessly with EHR/EMR systems, lab software, and third-party medical devices.

How long does it take to build a telemedicine or EHR solution?

A minimum viable product (MVP) can be delivered in 3–6 months, while full-featured platforms take 9–12 months.
Our agile approach ensures continuous delivery and faster validation.

Do you provide AI‑powered diagnostic tools?

Absolutely.
Our AI team builds predictive analytics models, image classifiers, and NLP-based systems for clinical data analysi - improving decision support and patient care.

What are your pricing models?

We offer flexible engagement options, including fixed-price for defined projects and time-and-materials for agile collaborations.
Our goal is to align with each partner’s budget, risk profile, and roadma

How do you handle post‑launch support?

A minimum viable product (MVP) can be delivered in 3–6 months, while full-featured platforms take 9–12 months.
Our agile approach ensures continuous delivery and faster validation.

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