The Health Process

A-Medicare will design real-time decision support system composed of thousands of queries and services based on machine learning algorithms displaying them into various large displays and iPad type devices. The machine learning algorithm will be designed to automatically learn and improve the processes from experience without being explicitly programmed or manually feed other data.

These iPad devices are issued to doctors and nurses for C3M type monitoring and quick response to provide service. The display devices show patient charts, patient-doctor-nurse interaction, dosing patterns, drug usage, patient surveillance, upcoming tests, diagnostic data, genetic testing, personalized digital health plans, and other healthcare information.

 

A-Medicare will provide information on self-treatment of diseases, improve communications between patients and care professionals so they can manage patient's health at home. Capturing the process via remote monitoring and analyzing them will improve home-health administration of drugs and appropriated care.

Hardware, Software Services, and IoT Devices

A-Medicare will design and build robots acting as Personal Health Assistants. Furthermore, A-Medicare can collaborate with robot manufacturers whose robot meets rigid specifications.

These robots customized according to patient healthcare needs should be able to understand English commands and responds accordingly. Example of such tasks are opening the door for home healthcare service, turning on the television for news and other entertainment. 

These robots can also call 911, RMTs, healthcare providers, or refill drugs. It can remind patient of medication schedule, prepare coffee, get drinks from the refrigerator, heat up food, and administer other mundane tasks in service of his/her master.

Embedded in the robot's memory are thousands of A-Medicare designed machine learning algorithm that automatically learn and improve from experience without being explicitly programmed of feed manually data or processes.

A-Medicare will develop Internet of Things (IoT) wearable devices and liquid chip bionic nano devices that are embedded into a patient skin whose electrical power is harvested from the skin temperature. These nano devices securely store selected patient 'diary' data such as PII and PHI. Once the nano device or IoT is near the vicinity of a secure Wi-Fi network, it will auto connect and new data are uploaded into a central database. The central database is continuously updated by the patient's daily activities such as exercise, drug, or medication usage, diet, and other behavioral data. 

Sharing of Medical Records 

Medical records, diagnosis, drug usage, and the type of care patients received can be shared to advertisers, pharmaceutical, drug and medical device manufacturers by scrubbing PHI and PII data. It is hoped that sharing these types of data will lead to faster cure, discovery of new drugs, and improved healthcare processes and procedures.

Extreme care will be religiously followed to ensure that no PHI, PII, and diagnostics data slipped to unauthorized personnel. 

Sharing of healthcare data will also be used to develop a matching algorithmic engine to match a patient with possible organ donors sourced worldwide. When the time comes, search A-Medicare federated database for the nearest organ donor's hospital or medical clinic who has the skill and experience to transfer the organ to the legal recipient considering the legal, ethical, and political sensitivities.

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