Challenge: HearSmart needed to develop a proprietary cloud platform that could record and process diagnostic images of the carotid artery for cardiovascular disease detection.
Solution: Health Samurai consulted with HeartSmart to discover the needs of their platform, and applied agile methodologies to develop a cloud solution on top of the aidbox.io platform that is capable of recording and processing diagnostic images to evaluate the thickness of the arterial wall and also detect plaque in the carotid arteries.
Outcome: Health Samurai successfully developed a cloud platform that detects cardiovascular disease for HeartSmart, saving time and cutting costs for physicians by leveraging the power of the cloud. The platform enables recording of ultrasound videos on the laptop and storing files securely in the cloud. Health Samurai applied Machine Learning Computer Vision Algorithms to measure intima-media thickness (IMT) and detect plaque in carotid artery ultrasound scan videos. Automation of the analysis process drastically reduced the time requirements for detection and improved efficiency while preserving outcome quality.
Challenge: Yorn needed to integrate their real-time patient feedback platform with hospital EHR systems from different vendors.
Solution: Health Samurai connected Yorn’s product to the hospital’s HL7 engine with the aidbox.io integration module.
Outcome: The aidbox.io integration module was able to receive HL7 data feeds, including ADT (Admit Discharge Transfer) and ORU (Observation Result) messages, and translate the data into Yorn’s product API commands. This allowed Yorn to focus internal resources on its core business, while Health Samurai delivered all interoperability requirements on time and below budget.
Challenge: Netrika needed to create an HIE system for facilitating large-scale medications, lab results, and patient demographics data exchange between regional provider organizations and laboratories.
Solution: Health Samurai consulted with Netrika’s team on the data exchange infrastructure design, implementation of HL7 v2, v3 and FHIR standards, and data modeling, and provided FHIRbase as the clinical data repositories for the HIE.
Outcome: Netrika successfully leveraged the FHIR standard and Health Samurai’s FHIRbase to develop and implement an HIE for over 5 million patients.
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