
Preventive & Routine Healthcare for Emerging Markets
COVID-19, Preventative & Routine Telemedicine on the Blockchain
We Address Healthcare UN SDG's 3 & 5
About
BlockMed’s AI CareMe™ Chatbot pre-assesses the patient’s standard and COVID-19 symptoms. After a series of questions, in their native language, the patient is connected with a Registered Doctor by telemedicine video call. The Doctor can be paid and make a prescription on the Blockchain and the local pharmacy network then fulfills the Doctor’s prescription for the patient and makes the delivery through the BlockRide delivery network. 2 Billion children & adults worldwide will now have access to basic medical services. The App Service is Live
BlockMed CareMe™ bot checks symptoms of the patient
BlockMed connects the patient with a medical specialist
Doctor is paid and provides diagnosis, prescribe medicines on the Blockchain
the BlockRide network delivers the prescription from the pharmacy to the patient
Problem
- Finding high quality, easily accessible and affordable Healthcare during COVID-19 is scarce.
- Current solutions leverage old technology with high costs (e.g. bimamobile, zocdoc)
- Patients are not in full control of their patient data and Doctors can't build up a larger patient practice
Solution
BlockMed Patient Care Service via AI CareMeBot & Video
- Patient facing, Mobile and Web enabled with Full Translation Capability
- Multilingual, Conversational (Q&A), Voice & Text
- Provides Health Information, first-level Diagnosis
- Appointment booking for call & video patient care with registered Doctors
- Patient feedback for continuous improvement in conversation and medical diagnostics
- Patient Data is owned and controlled by only the Patient on the Blockchain
- Ability for patients to pay in blockchain token credit earned from BlockM, BigMudi and other Hope Accelerated Partner Companies
Healthcare Analytics SaaS
Provide a portal with out-of-the-box Deep Learning and Classical Machine Learning models for Medical device generated Patient-specific data
- Quantitative data from Wearables, ECG, EKG, EEG..
- Image data from Xrays, MRI, CT Scan
- Photos from Patient smartphone cameras
Prototypes built for
- Analyzing Epilepsy data to precisely identify specific sections of the brain causing the seizure
- Sleep apnea
- Periodontal disease (Dental)