e-Kare


eKare is a pioneering wound imaging and analytics company committed to transforming wound care through innovative digital solutions. Their comprehensive platform integrates advanced imaging, AI, telehealth, and analytics to enhance clinical outcomes, streamline workflows, and facilitate remote patient monitoring. Recognized globally, eKare supports healthcare providers and researchers with cutting-edge technology designed to improve wound assessment, measurement, and management, especially in clinical research and pandemic contexts. Their focus includes developing reliable 3D wound measurement tools, leveraging AI for smarter treatment methods, and addressing challenges in clinical trial design and data quality.

Industries

biotechnology
health-care

Nr. of Employees

small (1-50)

e-Kare

Fairfax, Virginia, United States, North America


Products

3D wound imaging and measurement system

Clinical-grade 3D imaging solution for point-of-care and remote capture that computes wound area, depth and volume without external reference markers; designed for documentation, clinical decision support and research endpoint measurement with reported regulatory clearances.

Patient mobile imaging application

Mobile application enabling patients to capture wound images at home for automatic measurement and secure submission to clinicians or study teams; designed to integrate with telehealth and backend analytics.

AI-powered wound analytics platform

Platform providing machine-learning models, explainability outputs and integrated analytics for prognosis, outcome prediction and study planning in wound care.

eKare inSight®

A secure telehealth platform that enables patients to photograph and submit wound images, complete wound assessments, and chat securely with their provider. Clinicians can access patient data, communicate, and securely store and forward data to the wound care team.

eKare inSight® 3D

A digital wound assessment platform that provides automated, non-contact wound measurement including area, depth, and volume, along with high quality digital wound imaging and wound documentation.

3DWM device

A mobile 3-dimensional wound measurement device found to be highly reliable for measuring wound areas across a range of wound sizes and types, offering an objective wound measurement option in clinical settings.

View All Products

Services

Secure teleconsultation, video conferencing and remote wound monitoring workflows to support clinical care and decentralized trials; includes secure messaging and clinician review of submitted images.

Cloud-hosted RESTful APIs and SMART on FHIR connectors for integrating imaging and measurement data into EHRs, EDC systems and analytics platforms; includes managed hosting and developer support.

Configuration and deployment of standardized point-of-care imaging and documentation workflows to reduce data-entry burden and improve capture quality at clinics and outpatient services.

Configurable analytics dashboards, reporting and study-monitoring tools to provide operational and clinical KPIs for practice management and research oversight.

Services to configure and support patient-facing mobile capture workflows, remote submission, clinician review pipelines and secure data transfer for decentralized or hybrid clinical trials.

Expertise Areas

  • 3D wound imaging and digital planimetry
  • Patient-facing mobile imaging and remote capture
  • Telehealth-enabled wound care and remote monitoring
  • Decentralized clinical trial implementation and risk-based remote monitoring
  • Show More (4)

Key Technologies

  • Computer vision-based 3D structure sensing
  • Mobile patient imaging applications
  • Machine learning and deep learning for image analysis
  • Explainable AI methods (saliency maps, feature importance, sensitivity analysis)
  • Show More (5)

News & Updates

eKare was awarded 2nd place for best oral abstract on using AI to model wound healing prediction at the SAWC Spring/WHS Annual Meeting in 2019.

An article discussing the importance of transparency in AI applications in healthcare, highlighting how explainable AI (XAI) can improve trust and adoption.

2nd place at the Symposium on Advanced Wound Care for the abstract on AI modeling of wound healing.


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