Life Sciences Software Development Services

Orchestrate patient enrollment, visit scheduling, and site operations. Supports budget control and real-time trial performance tracking via custom KPIs and flexible role-based dashboards.

Capture structured trial data from eCRFs, wearables, labs, and other sources. Flag inconsistencies with built-in logic and support data cleaning and issue resolution via query workflows.

Consolidate data from internal and external trial systems, harmonize terminology (e.g., MedDRA, CDISC), and prepare analysis-ready datasets with traceable processing history.

Supports patient randomization, treatment group assignment, and IP dispensing. Automates IP inventory control and logistics via integration with a supply chain system.

Enables remote informed consent workflows, including review and signing. Supports consent document version control and role-based approvals aligned with regional regulations.

Capture treatment outcomes via configurable forms. Support remote and on-site data entry with branching logic, tracks adverse events, and automates treatment compliance monitoring.

Consolidates operational metrics across sites, detects protocol deviations and compliance gaps in real time, and assesses risks. Supports remote site visits and other CRA workflows, such as corrective action management.

Support end-to-end adverse event management: case collection, triage, causality assessment, signal detection, and report generation for regulatory submission. Detect and assess safety signals. Prepare routine safety reports.

Organizes and versions trial documentation from all parties, monitors submission progress, and maintains inspection readiness through automated quality checks and quality review workflows.

Coordinate multi-country submission processes, manage regulator communications, and monitor approval timelines. Support structured document templates and status dashboards.

Combine operational, safety, and data quality metrics for centralized trial monitoring. Support early risk detection and performance trend analysis with built-in self-service tools.

Use EHR data to match patients to trial eligibility criteria and perform prescreening. Support outreach automation and track recruitment effectiveness with site- and channel-level insights.

Manage the full lifecycle of lab samples, from registration to utilization. Integrate with lab instruments for automatic data capture and support workflows for quality control and inventory management.

Enables experiment design and execution, automatic result capture, and research data analysis. Provides tools for molecular data processing and collaborative authoring of protocols and reports.

Integrates with laboratory analyzers to collect and process test data. Generate test reports and support rule-based interpretation of findings to assist diagnostic decision-making.

Guide personnel through SOP-compliant workflows, capture instrument output in real time, and generate traceable execution logs. Validate reagents, sample expiration date, and equipment status before each run.

Maintain SOP and compliance documentation, log QC results, and track deviations. Support CAPA management, equipment validation, staff training, and audit preparation.

Aggregate raw and processed data from instruments, LIMS, and ELN. Tag records with metadata and store them in a centralized repository to support search, structured querying, and downstream analysis.

Analyzes consolidated lab data in real time. Identifies patterns in experimental outputs, monitors KPIs, performs root cause analysis for SOP deviations, and suggests corrective actions to maintain process quality.

Support participant enrollment, eConsent management, and access to study materials. Enable patients to report symptoms remotely, receive visit reminders, and communicate securely with trial staff.

Stream biometric data from wearables and home devices to trial systems. Detect out-of-range values, analyze trends, and provide inputs for adverse event monitoring and assessment workflows.

Automate eligibility verification for assistance programs and manage the distribution of co-pay cards, free medications, or bridge therapies. Maintain audit logs for product delivery and financial transactions.

Enable patients to receive personalized dosing alerts, refill reminders, and secure nurse messaging. Include structured self-reporting for symptoms and side effects, educational materials, and optional chatbot interfaces.

Coordinates in-home care delivery, including nurse visits and direct-to-home medication supply. Streams wearable data to remote care teams and supports digital or human coaching for better treatment adherence.

Support virtual consultations, e-prescriptions, and medication delivery. Enable remote clinical trial activities, including consent collection and visits, as part of decentralized or hybrid study designs.

Processes and transmits patient vitals, diagnostic, or therapy data to cloud platforms. Commonly includes AI-based clinical decision assistance and integrates with EHR and other healthcare systems for data exchange.

Collects continuous physiological data and streams it to clinical systems or research platforms. Provides personalized recommendations via patient-facing mobile apps and structured outputs for healthcare provider analysis.

Run on-device logic for real-time data processing and execution of clinical tasks, such as insulin dosing or spirometry test guidance. Synchronize results with external systems and provide user feedback through built-in displays or mobile interfaces.

Monitors the location and usage of RFID-tagged medical equipment and supplies across facilities. Automates availability checks and usage scheduling. Optimizes resource utilization and triggers preventative maintenance.

Captures patient-reported health data and wearable output for remote monitoring and care coordination. Provides tools for prescription management, treatment adherence tracking, and patient education and support.

Acquires and processes imaging data (CT, MRI, ultrasound, etc.). Supports tissue segmentation, volumetric analysis, and lesion detection. Integrates with PACS/EHR and enables AI-driven disease staging and outcome prediction.

Registers incoming materials using barcode or RFID input. Monitors stock levels, storage conditions, and expiration dates in real time. Automates reorder workflows and maintains audit logs for inventory movements and usage history.

Predicts supply needs, plans procurement, and supports the vendor selection process. Automates accounting and financial document exchange with suppliers, tracks order and shipment statuses, and analyzes procurement efficiency and spend patterns.

Provide suppliers with a self-service interface to access requirements, submit proposals, and participate in tenders. Support ERP integration for real-time catalog updates, order processing, and document exchange across systems.

Consolidate data across procurement, inventory, finance, and CRM systems. Calculate operational and supplier performance metrics, identify supply chain disruption risks, and generate data-driven recommendations for optimization.

ScienceSoft’s consultants analyze your research, operational, and compliance needs to define optimal functional scope, architecture, and integration strategy. We advise on AI-enabled workflow automation, legacy integration, and cloud adoption paths, and provide detailed project roadmaps with accurate budget and timeline estimates.

We provide end-to-end development of clinical trial, lab informatics, medical device, and direct-to-patient software designed around your operational workflows. Our teams handle integration with existing infrastructure, validation against applicable regulatory standards, and comprehensive documentation for audit readiness.

We use low-code tools (e.g., Power Apps) to enable fast delivery of software configuration tools, such as workflow builders or form editors. These modules are isolated from core logic and validated independently, allowing protocol or assay changes to be implemented without full system re-certification. Admin users can manage updates under role-based controls and change tracking.

We integrate legacy lab or trial platforms with new lab instruments and clinical data sources, and extend them with modern components, such as AI engines, new data formats, and cloud services. We enable phased migration to the cloud while maintaining compliance logs, data integrity, and uninterrupted operation of regulated workflows. Legacy adapters preserve existing SOPs and change approval logic.

We provide 24/7 support covering infrastructure, application, and compliance layers. Our L1–L3 teams resolve user issues, perform ongoing validation of AI modules, and maintain up-to-date compliance documentation (e.g., SOPs, risk logs, validation reports). All software changes are routed through controlled review and re-validation cycles.