AIDOC: Basic Questions Investors should Ask
Whenever i come across a project with great features and future potentials i always try to conduct as much research i can on the particular project, today i will be writing on; problems AIDOC seeks to solve, Who will be able to use AIDOC and how AIDOC Blockchain Works.
Problems AIDOC Seeks to Solve
AIDOC aims to solve all of the following problems in today’s medical industry, as well as problems with the way we store, control, and evaluate electronic health records (EHR):
People Lack Control of Their Data:
AIDOC’s whitepaper outlined problem of people lacking complete rights over their data. Majority of patient data are stored in medical institutions, and patients possess limited information over how their medical data is stored.
Data Security Issues Are Becoming More Serious:
We’ve witnessed numerous data leaks of patient medical data. Data can be tampered with, and centralized data present a tempting target to hackers.
Lack of Sharing:
Medical organizations cannot efficiently share patient information between themselves. Which makes it challenging to integrate and make use of health data – specially when patients are seeking care across medical clinics.
We’re Not Efficiently Utilizing Patient Health Data:
Patient health information can be used to anticipate diseases and illnesses before they occur. There’s a demand for better health data management. Despite this demand, there’s a lack of supply in the industry for effective data management. AIDOC aims to create that supply.
Who Will Use AIDOC?
AIDOC aims to cater to five parties, including users, insurance companies, pharmaceutical companies/medical device manufacturers, technology companies, and medical institutions. Here’s how each of those five parties will interact with the platform:
Users:
Real-time sensors will monitor and upload personal health data. Users can obtain tokens to purchase diagnoses from doctors, health insurance, and other medical services.
Insurance Companies:
Insurance companies can utilize AIDOC’s patient data – like individual physical symptoms of patients – to create targeted products. As users become healthier, their insurance premiums will drop. Users can get timely treatment warnings for abnormal signs, then realize faster claims if they apply for claims.
Pharmaceutical Companies and Medical Device Manufacturers:
Drug makers and medical device manufacturers can research, develop, and optimize drugs and devices using data collected from the AIDOC platform.
Technology Companies:
Tech companies can create personalized diagnosis and treatment products. AI doctors created by tech companies can give patients health advice and diagnosis opinions, for example.
Medical Institutions:
If a user has abnormal physical signs and requires timely medical treatment, the medical institution can request the complete medical data history of the user, then achieve a comprehensive diagnosis.
AIDOC Hardware Sensors
We’ve mentioned patient health data numerous times already. How does AIDOC plan to measure health data? Well, AIDOC plans to release its own series of hardware sensors. In partnership with manufacturers, AIDOC will release a number of products to measure vital signs of patients.
How Does the AIDOC Blockchain Work?
AIDOC is creating its own blockchain. The AIDOC system and blockchain is divided into five layers, with the blockchain being the fifth layer:
- Development and service layer:
This layer includes smart contracts recorded in computer language (instead of legal language). These contracts allow for cross-DApp communication, data storage, and token queries, among other functions. - Protocol layer:
This layer contains the core functions of AIDOC, including security, authentication, intelligent networking, and data storage. - AI service layer:
The AI service layer allows AI providers to use deep learning technology to model tasks like categorization, regression, and segmentation across a magnitude of data samples. - Blockchain service layer:
The blockchain service layer includes a security mechanism and a consensus mechanism. AIDOC’s team chose a variant of the Byzantine Fault Tolerance (BFT) consensus mechanism as the underlying consensus algorithm. In the future, they plan to use Algorand (a lottery based on cryptography that won the Turing Award in 2017) as the underlying consensus algorithm.
AIDOC seeks to revolutionize the world of electronic health records (EHR) management and patient care. The company is developing a blockchain-based “AI Doctor” that can analyze patient data and conduct diagnoses. AIDOC also offers an ecosystem catering to pharmaceutical companies, healthcare providers, and other groups seeking to utilize patient data.
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