Look how CiRG is bridging between digital health to Internet of Health Things
Client aim to develop a system which can act as a guide for Patients all through their health care procedure. Major issues came across are:
The R&D team brought the entire EHR on to the blockchain so that the patient owns his/her data and perform interoperability.
Intelligent Decision Support System for Patients are designed to understand which doctor he should meet. maintenance of all Digital health records and entire medical history are also taken care in DSS.
DSS also assists Doctors to analyze the medical history and probable disease symptoms.
Data segmentation and analysis in the proposed framework help insurance companies to design appropriate insurance plans.
Forecasting models identifying upcoming risks
Many fetal diseases got detected at the later stages inhibiting the possible treatments. Key challenges involved :
Our R&D team sit with doctors to jointly design the draft of possible risks factors involved related to a particular disease
Using ML tools and blockchain, the whole data of the patient got connected to find the patterns
Deep learning models are trained further to deeply study the minute details present on the captured images.
The model developed acts as a assistance for doctors alleviating the early detection of severe ailments.
AI provides the best ingredients for fantastic experiences.
France based healthcare company came across subsequent challenges while struggling to promote their health product,
Our experienced project lead and market researchers carried out effective survey to find the back foot areas.
Product linking ecosystem with marts, clinics and play store apps help in finding out the combination products.
Machine learning models were applied to identify the actual need of patients and referencing the same on the products while advertising.
Clearer customer's interest understanding.
Proposed Chain worked well to give personal experience to customers motivating them for trying the product.
Eventually, company open up their own healthcare platform.
Fight the fake drugs by equipping drug supply chain with the power of AI and blockchain
Shielding the entire pharmaceutical supply chain is one of the top-most priority for companies as well as government ensuring safe access to lifesaving and life-enhancing products. Key challenges involved:
Thrashing 200 billion dollar market of falsified drugs
Proposed model is an amalgation of two potential cutting edge technologies - blockchain and AI.
Piloting the blockchain in the pharmaceuticals supply chain ascertain the paramount track and trace design.
AI algorithms are exploited to deliver noteworthy expansion in productivity and thus contributing to the sustainability of this business.
Recommender System for Patients to take medicine from the more trustable pharmacy.
Modeling Sustainable Hospitals for the coming decade
Healthcare organizations required multilevel of advance automation strategies to improve patient's care and experience Few challenges involved: - Availability of Data from Emergency services like ICUs, blood bank
- Availability of Data from Emergency services like ICUs, blood bank
- Anticipating the need of ICU for a patient
- optimizing the discharge process
- Predicting ICU acquired infection
- reducing patient mobility in hospital
-automating front desk operation
IOMT is incorporated with cloud services and blockchain to automate the whole process in hospitals.
ML algorithms are exploited for developing prediction models in the system
Green Economy
Shipping industry is presently struggling with its complex systems merging diverse technology within a small space. Major challenges include:
Our team proposes multi-facet approach. The system will automatically recommend operational measures considering all the important aspects.
Potential technologies including fuzzy systems, blockchain and machine learning are employed
Blockchain monitors and reports the ship's annual fuel consumption keep track of fuel consumption every year
Fuzzy logic helps in analyzing the situation considering environmental, economic, climatic and political consequences.
Proposed model sets an example of how the latest technologies assist in developing potential options for curbing emissions in this sector.
AGI (Biomedical Scientist) believed to be a ameliorate saviour than Normal Scientist, when it comes in forecasting the health probabilities using general machine intelligence.
Client require to identify the plausible impulsive health risks. Few of the highlighted Issues
- Lack of accurate and precise patients’ data
- Need of Generalized model which can be adapted as per the need of different patients
Experts from philosophy, neuro sciences and mathematics integrated together to form AGI Engineering model
Networks of a networks are created to match the working model of human brain
Machine consciousness algorithms are proposed to manage massive dataset for studying patients at quantum level.
Proposed machine consciousness system is an attempt to achieve human-level thinking.
Foretelling risks helps patients acquiring timely treatment and hence a saviour
The power of Quantum is making strategies more targeted.
Challenges faced by the client
- Processing data at qubits level
- Live streaming analysis
- Optimizing the results for better understanding
- increasing our systems capability to run qubits of data quickly
the team proposed Quantum Machine learning algorithms which are exploited to harness the power of quantum mechanisms.
Deep learning is applied at nanoseconds of data during live streaming.
Results are administered and substantiated at quantum capabilities of the system.
Highly accurate analysis is achieved.
reduced computing time
Proposed quantum model can be easily modified for other domains requiring quantum structure.
Less error prone and more powerful systems
Making a machine self learn using A.G.I.
Lack of personal touch and therapeutic relationship during counselling sessions.
Most developed systems work as narrow AI and not able to self adapt according to the need of client.
Lack of domain experts knowledge
Steps followed to achieve the AGI in counselling sessions
- Establish Rapport and Therapeutic Alliance or Relationship by compulor
- Train compulor to access complaints of clients
- identify desired outcome and perform the goal setting.
- Compulor will define required interventions in client’s life – deploying it strategically within
- Plan and introduce termination and Follow-up with compulor
Ensures that client will be highly satisfied and get a chance to revise the life skills that they learn during regular counselling sessions,
empowering client to implement skills at times of distress
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