INVIZA® Health — Powering Military Telehealth Connectivity™’s Post

🔵 INVIZA® Health — Powering Military Telehealth Connectivity™ | Awarded $2.3 M United States Air Force Contract to Integrate Artificial Intelligence/ #MachineLearning into InvizaSole M1.0 Self-Charging, Medical-Grade Smart Insoles and InvizaCare M1.0 User Mobile App for their Remote #Patient or #Airmen Monitoring (RPM or RAM) Platform for Readiness (#health monitoring and illness/disease detection), and Performance (#physicalfitness) Tracking and #BodyWeight Management. To read the press release: https://lnkd.in/eF7Q9kqZ #PredictiveWellness™ #monitoring #illness #disease #artificialintelligence #AI #ML #edge #edgecomputing #remotepatientmonitoring #RPM #digitaltherapeutics #DTx #wearables #selfpowered #medtech #vitalsigns #motion #medicalgrade #accuracy #cloudcomputing #falldetection #digitalhealth #healthcare #fitness #bodyweight #weightloss #bodyweightmanagment #USAF #AFRL #USARMY #military #veterans #VA #VAhospitals #ruralhealth #assistedliving #retirementcommunities United States Air Force ~ Air Force Research Laboratory ~ United States Space Force ~ US Army

"Around a year ago, I was looking for a way to improve my #health and stop myself from going stir-crazy while working from #home. I started #walking 10,000 #steps every day and it had a huge impact on my #wellbeing. To my surprise, it's something I've stuck with and it's improved my life in many ways." #wellness #mentalhealth #fitness #weightloss #medtech #digitalhealth #mhealth #wearables #trackers

When it comes healthcare, rural Americans face many challenges getting access to the care they need due to their proximity to experts and facilities. As the healthcare industry evolves and becomes more specialized, that gap continues to widen. Dopl Technologies and T-Mobile have paired up to help break those barriers thanks to the use of telerobotics and #5G connectivity! 👇 https://lnkd.in/g8PDPUmG

🔵 INVIZA® Health — Powering Telehealth Connectivity™ — The Company has developed their INVIZA CARE M1.0 military-medical remote personnel-patient monitoring (RPM) and digital therapeutics (DTx) MedTech platform. Our medical device platform includes: To learn more visit inviza.com 1) Sole M1.0 - Standard thickness, comfortable, self-charging (includes patent-pending energy harvesting devices that scavenge energy from every step the user takes), smart insoles. Our insoles contain clinically/highly accurate optical sensors that measure through socks, other sensors, and machine learning (ML) for clinicallyhighly accurate sensor measurements: 🔹heart rate, 🔹resting HR 🔹heart rate variability (HRV), 🔹respiratory rate, 🔹blood oxygen saturation "SpO2", 🔹body temperature, 🔹body movements, 🔹fall detection, 🔹burned calories, 🔹GPS location, 🔹and more in future models; cyber security, and electrical power conservation; 2) Cloud M1.0 - A Secure IoT Operational Planning Environment (SIoTOPE) cloud platform designed per DoD/U.S. Air Force strategies with AI/ML and predictive and other analytics for illness and disease detection and fall detection/prediction; 3) Care M1.0 - A user mobile app with DTx actionable insights promoting walking, running, and exercise, such that the military personnel maintain their physical fitness and body weight and post-acute patients recover faster in the hospital and at home. Note that more steps recharges wearable's battery more; it's a win-win scenario; and 4) Portal M1.0 - Command/hospital/physician web portal to monitor and communicate/alert their personnel-patients of health and fitness issues. To learn more visit invizahealth.com #allinone #selfcharging #wearables #energyharvesting #shoes #steps #sensors #clinicallyaccurate #accuaracy #medicalgrade #remotepatientmonitoring #RPM #digitaltherapeutics #DTx #artificialintelligence #medicaldevice #AI #machinelearning #ML #predictiveanalytics #cloud #mobileapps #HIPAA #FDA #DoD #USAF #military #warfighters #airmen #soldiers #hospital #patients #physicians #nurses #HospitalatHome #HaH #assitedliving #elderlycare #ruralhealth #retirementcommunities #VAhospitals #VA #veterans #falldetection #patientoutcomes #healthequity #digitalhealth #health #healthcare #fitness #exercise #wellness #bodyweight #bodyweightmanagement #mentalhealth #PredictiveWellness™ #monitoring #heartrate #HRV #SpO2 #bloodoxygen #oxygen #bodytemperature #motion #bodymotion #falldetection #prediction #illness #disease #LTE #GPS #BLE #Bluetooth

Objective measurement in #healthcare seems so obvious. Yet many parameters are captured completely subjectively. Take multiple sclerosis as an example: most #patients are asked in 6 months intervals how they have been doing in order to determine their disease status (among other parameters). Clever #healthtech could make a difference here. Take some recent research from ETH Zürich, Universitätsspital Zürich, and University of Zurich who explored how smartphone and #wearable data could identify disease severity, disability, and fatigue. Using #AI, they arrived at meaningful results that could help optimize treatments via these simple measures. “This new approach gives MS sufferers a straightforward way of collecting reliable and clinically useful long-term data as they go about their day-to-day lives. The researchers expect that this type of data can lead to better treatments and more effective disease management techniques […]. What’s more, evaluating this patient data lets the experts verify the effectiveness of different treatments.”