Non-invasive-CGM-BloodPressure-Smartwatch-Fitzpatrick-RPM-SDK-Development

1. Delivered AI-powered Sensor Accuracy and RPM Capabilities to NIR Spectroscopy Non-invasive CGM & Blood Pressure Monitoring Medical Device About Customer: Our Customer is a San Francisco based MedTech startup and they have built the first Non-invasive Medical Device for Continuous and real-time Ambulatory Care for Diabetes, Blood Pressure and other such health biomarkers. Customer Insights: Game-changing remote patient monitoring device including accurate measurements of Blood Glucose (8.5% MARD) & Blood Pressure (8.6 % MARD) with no need to manage an ongoing supply chain of finger sticks or needles Paired with Companion App and AI-based insights, their smartwatch provides a companion app that provides monitoring of key health markers like glucose levels, blood pressure, heart rate and rhythm, breathing rate, and oxygen saturation Comprehensive web platform with Remote Patient Monitoring dashboards for Providers, Caregivers and Patients Business Scenario: Our client used the NIR Spectroscopy technique that was further supported by Fitzpatrick for better product calibration and accurate readings Fitzpatrick helped our client in better calibration their device, but the users were asked to enter the relevant self-report of skin type based on their understanding and that led to human-based errors As they had a global vision, they also faced delays in deployment of their ecosystems and thus required SDKs for quicker and seamless partner and customer onboarding Lastly, they also wanted to create a role-based Remote Patient Monitoring platform to provide At Home and Ambulatory care services

2. Outcomes Delivered: 100% Removal of human errors from Fitzpatrick scale assignment 24% Improvement in overall sensor accuracy and product calibration 44% Reduction in time of deployment of device, PMS and RPM in third-party environments AIMDek Digital Partnership Scope: To ensure that our customers could remove the possibility of human errors and expand their business model with an accurate and interoperable MedTech solution, , they collaborated with us for: Create a Deep Learn AI/ML model to assign the Fitzpatrick scale from the skin of the wrist area Along with that, customer also wanted us to create their SDK for strategic partnerships and quick implementation of their Device and PMS For optimum visibility and Remote Monitoring capabilities, we also developed a RPM platform that integrated with Hospitals, their EHR systems and gave access to the near and dear ones of the health-vitals in real-time The Solution: 01 Image Capture Capture new photos using the device camera. Upload existing photos from the gallery Live camera preview with Scan QR Code capability 02 Fitzpatrick Score Assignment and Data Synchronization Display the assigned Fitzpatrick Skin Type (I-VI) to the user Provide a brief description of the skin type characteristics Sync the results with the user’s profile 03 SDK Development/Enhancement SDK Dev and Enhancement of their companion app for easier implementation in the global markets Created value-driven containers for quick implementation and seamless onboarding of new customers, partners and vendors 04 Native Android and iOS development RPM Web Portal Development A web platform with multi-tenancy, role-based access management, permissions management and workflow management systems Modules and dashboards for various users such as Physicians, Clinical Staff, Patients and their guardians 05 Provided role-based access to features, data access and reports to the respective user Data-as-a-Service (DaaS) Platform For effective interoperability, we integrated the RPM platform with providers’ EHR and other connected systems We also developed HL7 based APIs for data consumption and export to Provider systems marketing@aimdek.com