We identify high-impact AI opportunities, assess value and feasibility, and define a prioritized transformation roadmap. The first rollout then becomes a reusable blueprint for broader AI-enabled change across healthcare operations. Some of the processes ScienceSoft applies AI to include:
AI Transformation and Software Engineering Services for Healthcare and Life Sciences
ScienceSoft provides AI transformation consulting, as well as software engineering, integration, modernization, and support services to help healthcare organizations redesign high-impact processes and build secure, interoperable, compliant healthcare IT systems.
Key Facts About ScienceSoft
End-to-End Healthcare IT Services for Secure and Scalable Growth
Healthcare IT services by ScienceSoft cover every aspect of medical technology management, from IT strategy planning to software development, modernization, and support.
Healthcare AI transformation
Healthcare software engineering
We cover every project step, from healthcare software design to its implementation. A solid project plan, a value-driving feature list, a reliable and secure architecture, full regulatory compliance, and high software performance are a given when you work with ScienceSoft.
Strategy and consulting
Whether you want to polish your approach to ITSM or launch a new medical app, ScienceSoft's consultants with 5–20 years of industry experience will ensure the success of your initiative. ScienceSoft designs and implements successful digital transformation strategies even amidst diverse expectations of medical staff, shifting priorities, and resistance to change.
- Healthcare IT consulting
- Comprehensive IT environment assessment
- Feasibility study and solution planning
- Digital health product advisory
- Digital transformation
- Digital transformation consulting
- End-to-end digital transformation
- Targeted changes implementation
Healthcare IT systems and cloud
Ready to upgrade your healthcare IT environment or legacy software? ScienceSoft’s medical IT services will help you improve the reliability, optimize performance, and ensure 100% security of the target IT components. Take a step toward a cloud-based IT environment to reduce infrastructure costs and enable on-demand scalability of your healthcare software.
- Healthcare software modernization
- Healthcare software integration (e.g., EHR integration)
- Upgrading information security and compliance safeguards
- Cloud migration
- HIPAA-compliant cloud selection
- Cloud infrastructure management
- Application migration
- Server, data warehouse, desktop migration
Data and intelligence
Since 1989 in data analytics, ScienceSoft is here to help you get insights from healthcare data and support clinical decision-making with AI-based recommendations.
- Healthcare business intelligence
- Healthcare data visualization
- Big data in healthcare
- Medical image analysis
Security and compliance
Our security and compliance experts ensure full adherence to HIPAA, GDPR, FDA, the 21st Century Cures Act, GCP, GMP, GLP, NCPDP, MDR, IVDR, SAMHSA, and MOHAP requirements. We also support CEHRT, MACRA, MIPS, and SAFER regulations to align with evolving healthcare IT standards. ScienceSoft is certified under ISO 13485, ISO 9001, and ISO 27001, ensuring a mature approach to quality and data security.
Operations and support
Since 2007 in IT support, ScienceSoft covers everything from help desk services for healthcare to holistic IT infrastructure maintenance and modernization.
- Healthcare IT support
- L1–L3 technical support
- Incident resolution and troubleshooting
- Application maintenance and support
- Performance, security, and compliance management
- Managed IT services
- IT infrastructure maintenance and modernization
- Help desk services for healthcare
- Managed application services
- Managed security services
2-Minute Overview of Healthcare Software Development
Make a quick dive-in into ScienceSoft’s service offer and come back up in 2 minutes all the wiser about the service scope, collaboration perks, and details of our healthcare software development projects.
Clients We Serve
Featured Expert Talks
AI Agents First: Operating Model for Healthcare Contact Centers | Presentation at WHX Dubai 2026
Presentation by Hadeel Abu Baker, Senior Healthcare IT Consultant at ScienceSoft. Hadeel explains how AI in contact centers can complete patient requests end to end and how the AI-first operating model can improve patient access, reduce manual workload, and scale service quality. The talk covers practical AI agent use cases across scheduling, billing, reminders, surveys, and call summarization, along with the guardrails and human oversight needed for safe, compliant AI in healthcare.
AI-Powered Clinical Workflows Without Hallucinations | Presentation at WHX Miami 2026
Marina Chernik, Senior Healthcare IT & AI Consultant at ScienceSoft, shares practical insights into building trustworthy AI for clinical workflows. She explains engineering approaches to preventing AI hallucinations, improving the reliability of clinical AI, and ensuring safer decision-making. The talk also features a demo of an AI-powered SBAR handover solution with built-in output verification.
ScienceSoft in Healthcare Industry Media
From Assist to Resolve: Multi-Agent Model for AI-First Healthcare Contact Centres
by Hadeel Abu Baker, Senior Healthcare IT Consultant at ScienceSoft
March 23, 2026
Care Teams Can Spot Risks Early and Act Before Flare-Ups
by Hadeel Abu Baker, Senior Healthcare IT Consultant at ScienceSoft
November 25, 2025
AI Against Cancer: Capabilities and Limitations for Early Detection and Treatment Planning
by Gala Batsishcha, Healthcare IT Consultant at ScienceSoft
November 11, 2024
See Healthcare AI Automation in Action
Medical AI Voice Assistant for Appointment Scheduling
See how conversational AI can be used to automate complex interactions like patient appointment scheduling. The AI voice agent, based on Amazon’s Nova Sonic Speech-to-Speech model, uses real-time speech recognition, identity verification, and system integration to handle patient appointment scheduling end-to-end without human intervention. The assistant can potentially reduce appointment booking time by 40%, cut call abandonment rates by 30%, and lower operational costs by at least 50%.
AI Agent in a US Clinical Call Center
See how an AI agent supports a clinical call center by handling routine patient requests step by step. It filters out irrelevant talk, understands and resolves the issue, confirms next steps, and closes the loop — even when the patient changes their mind mid-call.
Chest X-Ray AI for Radiology Workflows
This demo tour presents a decision-support approach where AI delivers explainable X-ray review evidence that supports downstream reporting.
The solution is aimed to exceed 90% diagnostic accuracy and reduce review time by about 30%.
Why Choose Healthcare AI Transformation and Software Engineering Services by ScienceSoft
- Working in healthcare IT since 2005, ScienceSoft brings hands-on experience from 150+ successfully delivered projects to AI transformation and software engineering initiatives. Every project involves healthcare IT consultants with 5–15 years of experience, including professionals with clinical backgrounds. Their understanding of real provider workflows helps them challenge unrealistic AI scenarios, identify adoption barriers, spot data-flow gaps, and surface compliance issues before they affect delivery.
- ScienceSoft’s Technology & Competency CoE unites 100+ senior experts across core software development areas. For each project, the CoE identifies specialists with the right domain and technical expertise for the client’s systems, data, and transformation goals. Our teams work with a wide range of healthcare data exchange standards (HL7, FHIR, DICOM, X12, ASTM, CLSI, and more), with HL7® FHIR® certified implementers on board. Our specialists are proficient in clinical coding and terminology systems, including ICD-10, CPT, SNOMED CT, LOINC, and RxNorm. As a HIMSS Gold Member, ScienceSoft stays connected to industry frameworks, education, and the professional community to keep our expertise aligned with current healthcare IT practice.
- In AI development since 1989, ScienceSoft is an official Microsoft Solutions Partner for Data & AI. We build healthcare AI with mandatory output checks, confidence thresholds for generated recommendations, built-in human review before high-impact actions, and clear escalation rules for low-confidence, incomplete, or risky outputs. Continuous performance monitoring helps control hallucinations and automation risks as AI scales across clinical, administrative, and revenue cycle processes.
- ScienceSoft’s Architecture & Solutions CoE includes 30+ senior architects, among them nine principal architects with 15–25+ years of experience. They design secure, HIPAA-compliant, and cost-efficient architectures that fit the client’s existing systems, partner integrations, and legacy software. The CoE reviews scalability, cloud readiness, performance, and long-term maintainability, so the first AI or software rollout can evolve into broader process transformation instead of becoming another isolated tool.
- ScienceSoft’s in-house PMO includes 45+ senior project managers, including professionals with PMP, PMI-ACP, CSM, PSM, and other recognized certifications. They use shared practices for planning, estimation, change management, reporting, and stakeholder communication, which helps keep healthcare IT initiatives predictable and transparent. Our PMs raise delivery risks early, efficiently handle conflicting expectations, and involve other experienced PMs when complex situations require a second opinion. For clients running multiple initiatives, ScienceSoft’s delivery managers coordinate dependencies, budgets, and expected outcomes across the entire portfolio.
- ScienceSoft has hands-on experience with HIPAA, HITECH, FDA, the 21st Century Cures Act, MDR, IVDR, GDPR, NCPDP, ONC, SAMHSA, and other healthcare regulatory requirements. We factor compliance into every stage of the project, reducing the risk of late rework, audit gaps, delayed releases, and unsafe software behavior.
Certifications and awards
Featured among Healthcare IT Services Leaders in the 2022 and 2024 SPARK Matrix
Recognized for Healthcare Technology Leadership by Frost & Sullivan in 2023 and 2025
Named among America’s Fastest-Growing Companies by Financial Times, 5 years in a row
Top Healthcare IT Developer and Advisor by Black Book™ survey 2023
Four-time finalist across HTN Awards programs
Named to The Healthcare Technology Report’s Top 25 Healthcare Software Companies of 2025
HIMSS Gold member advancing digital healthcare
ISO 13485-certified quality management system
ISO 27001-certified security management system
Technologies We Work With
GenAI platforms and services
- OpenAI
- Microsoft Foundry
- Amazon Bedrock
- Google Vertex AI
- OCI Generative AI
- Hugging Face
Healthcare-specific language models
- MedGemma
- MedLM
- BioMedLM
Machine learning frameworks and libraries
- PyTorch
- TensorFlow
- Apache Mahout
- Apache MXNet
- Apache Spark MLlib
- Caffe
- Keras
- OpenCV
- Theano
- Scikit Learn
- Gensim
- SpaCy
Agents and orchestration
- OpenAI Agents SDK
- Amazon Bedrock Agents
- Google Agent Development Kit (ADK)
- LangChain
- LangGraph
- Dify
- n8n
LLM output validation
- Microsoft Guidance
- IBM AI Fairness 360
- Evaluate
- Guardrails AI
- Perspective API
Front-end programming languages
Languages
- HTML5
- CSS
- JavaScript
JavaScript frameworks
- Angular JS
- React JS
- MeteorJS
- Vue.js
- Next.js
- Ember.js
Mobile
- iOS
- Android
- Xamarin
- Apache Cordova
- Progressive Web Apps
- React Native
- Flutter
- Ionic
Low-code development
- Microsoft Power Apps
- Microsoft Power Automate
- App Engine Studio (ServiceNow)
- Bubble.io
Platforms
Monitoring tools
- Zabbix
- Nagios
- Prometheus
- Elastic Stack
- Grafana
- Datadog
Containerization
- Docker
- Kubernetes
- Red Hat OpenShift
- Apache Mesos
Infrastructure automation
- Ansible
- Puppet
- Chef
- HashiCorp Terraform
- HashiCorp Packer
CI/CD tools
- GitLab CI/CD
- Jenkins
- TeamCity
- Bamboo
Clouds
- Amazon Web Services
- Microsoft Azure
- Google Cloud Platform
- DigitalOcean
- Rackspace Technology
Databases / data storages
SQL
- Microsoft SQL Server
- Microsoft Fabric
- MySQL
- Azure SQL Database
- Oracle
- PostgreSQL
NoSQL
- Apache Cassandra
- Apache Hive
- Apache HBase
- Apache NiFi
- MongoDB
- Microsoft Fabric
Cloud databases, warehouses, and storage
AWS
- Amazon S3
- Amazon Redshift
- Amazon DynamoDB
- Amazon DocumentDB
- Amazon RDS
- Amazon ElastiCache
Azure
- Azure Data Lake
- Azure Blob Storage
- Azure Cosmos DB
- Azure SQL Database
- Azure Synapse Analytics
- Kinect DK
- Azure RTOS
Google Cloud Platform
- Google Cloud SQL
- Google Cloud Datastore
Other
- Microsoft Fabric
What We Do To Achieve Your Healthcare IT Project Goals
ScienceSoft's mission is to drive your project success despite time and budget constraints, adapting agilely to changing requirements. We use a set of project management practices developed and refined by our in-house PMO.
Team assembly and scaling
ScienceSoft selects the best-fitting skills for your project. We have project managers proficient in medical IT specifics, healthcare IT and regulatory consultants, and compliance officers on board. To optimize project expenses and address any changing needs, we can swiftly scale the team up and down.
Realistic time and cost estimates
We tailor time and cost estimates to the project scope defined by each client's unique needs. We always stay honest about the necessary investments and offer a clear rationale for the cost estimates.
Scope creep control
ScienceSoft rigorously manages change requests and involves stakeholders to prevent unnecessary deviations from project goals. We evaluate the feasibility, business impact, cost, and time of implementing each proposed change request and ensure its status visibility.
Teamwork and centralized knowledge management
To foster effective collaboration and fast progress, we choose a schedule convenient for all project stakeholders. By meticulously documenting all critical decisions and processes, we prevent any loss of vital project knowledge and make it accessible to the stakeholders.
Risk identification and mitigation
To ensure high project predictability and enduring cooperation success, we assess and monitor operational, technology, business, and external risks throughout the SDLC. We also devise proactive mitigation strategies to swiftly navigate disruptions, align mitigation plans with client priorities, and stay fully transparent about project health.
Project success assessment and routine reporting
To measure software development success throughout the SDLC, continuously improve service quality, and ensure that the deliverables meet our clients' expectations, we create and consistently monitor tailored sets of objectives and key results. We regularly revise success metrics, report on agreed KPIs, and use stakeholder feedback to spot areas of improvement.