81 results:
ScienceSoft delivered the MVP of a chronic disease care product. It helps the user stay in control of their health state and access unique personalized content targeted at users’ health conditions.
ScienceSoft created a technical design and built a DICOM file generation and sharing module for RIVANNA’s ultrasound scanners software. The solution fully meets the requirements of the ISO 12052 standard.
ScienceSoft has delivered an MVP of an iOS telehealth application for on-demand mental health services in 4 months. The software covers appointment scheduling, patient-therapist communication, self-management tools for patients, payment module, etc.
ScienceSoft helped develop and test an RFID-based solution for real-time instrument tracking and surgical tray optimization. The pilot studies proved the solution's capability to reduce the number of unused tools, tray weight, operating room setup time, and overall hospital costs.
ScienceSoft designed and developed a patient portal with telemedicine functionality for an NYC-based healthcare provider. Three months after the launch, the EHR-integrated solution has attracted over 1,500 patients.
A BI solution to replace the Customer’s legacy solution and improve analytical processes. The system features a data warehouse, ETL pipelines, an analytical cube, and algorithms for comprehensive and standardized reporting.
ScienceSoft created the concept and detailed requirements specification of an injury management system to facilitate cooperation between caregivers, law firms, and medical finance companies in settling vehicle accident injury cases.
ScienceSoft created a mobile care coordination app that creates a continuum of care by connecting patients with their caregivers across organizations and specialties.
In six months, ScienceSoft completely overhauled a mental health software product featuring guided meditation sessions and game, video, and audio therapy capabilities.
In 2 months, ScienceSoft provided a US-based biotechnology company with a desktop app for lung cancer detection. The app ensures 100% stable generation of comprehensive diagnostic reports based on analysis of flow cytometry data.
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