Q79- Though local salinity patterns are largely determined by rainfall and evaporation, the salinity of the oceans is determined globally by a number of factors. Evaluate. (250 words)
diagnosis, treatment, and hospitalisation of infected patients increases the risk of infection.
Many frontline fighters fighting COVID-19, for example, have perished.
Artificial intelligence (AI), autonomous systems, blockchain, cloud and quantum computing, data analytics, and 5G are some of the technologies that can assist solve the problem.
New technologies have the potential to improve society's well-being and lessen the effect of communicable diseases.
It also has the potential to lower the risk of infection among hospital employees.
Body:
Recent advancements in the application of disruptive technologies in the hospital setting:
Some established innovative field hospitals are deploying robots to care for COVID-19 impacted patients, according to global media sources.
Two Chinese hospitals are employing 5G-powered temperature measurement devices at the entry to identify patients with fever-like symptoms.
Smart bracelets are being utilised by some robots to measure heart rates and blood oxygen levels.
Finally, the Sawai Man Singh government hospital in Jaipur conducted trials with a humanoid robot to bring medicines and food to COVID-19 patients who were hospitalised.
How can new technology help to improve the hospital environment:
The technology of blockchain:
Blockchain technology has the potential to help with the interoperability issues that health information and technology systems confront.
A comprehensive indexed history of all medical data, including formal medical records and health data from mobile applications and wearable sensors, would be stored on the health blockchain.
In addition to assisting in smooth medical attention, this can be stored in a secure network and authenticated.
Analytical Big Data:
Big data analytics can significantly improve patient-centered services like early disease detection.
Artificial intelligence (AI) and the Internet of Medical Things (IoMT) are influencing healthcare applications.
The Internet of Medical Things (IoMT) is a network of medical devices, software applications, and health systems and services that are all connected.
Medical self-contained system:
Medical autonomous systems have the potential to significantly improve health care delivery, and their applications are focused on assisting medical care delivery in scattered and complex situations using futuristic technologies.
Other autonomous interventional procedures that may be included in this system include autonomous critical care, autonomous intubation, autonomous cricothyrotomy, and other autonomous interventional procedures.
Computing in the cloud:
Cloud computing is another application that allows doctors, departments, and even institutions and medical providers to collaborate and share data in order to deliver the best possible therapy.
Challenges and Next Steps:
Standardization of health data, organisational silos, data security and privacy, as well as costly investments, are all potential roadblocks in this attempt.
How Technology acts as a Tool for Universal Health Coverage:
Universal health coverage (UHC) is a powerful social equaliser and the ultimate expression of fairness, according to the World Health Organization.
According to WHO research, a lack of coordination might lead to stand-alone information and communication technology solutions.
India must take ownership of its digital health strategy in order to achieve universal health coverage and person-centered care.
A policy like this should stress the ethical appropriateness of digital technology, bridge the digital divide, and ensure economic inclusion.
'Ayushman Bharat' and instruments like information and communication technology might be fine-tuned to work with this plan to improve population protection.
An important component of such a strategy should include online consultation.
Making use of local knowledge:
An effective national response must draw on local expertise in addition to efficient national policies and robust health systems.
In India, primary health care centres might look at local/traditional knowledge and experience and combine it with modern technologies.
Conclusion:
The first steps in this direction should include synchronisation and integration, the development of a data-sharing template, and the reengineering of many of the medical sector's institutional and structural arrangements.
In the health sector, big data applications should assist hospitals provide the best care at a lower cost, create a fair playing field for all sectors, and encourage competition.
India's efforts in this regard should include synchronisation and integration, the development of a template for data sharing, and the reengineering of many of the medical sector's institutional and structural arrangements.