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In the face of the COVID-19 pandemic, it has become clear that vaccine distribution can dramatically affect the containment of a global virus. Health organizations are fighting an uphill battle when it comes to delivering vaccines to those in need. Whether it is about overcoming hesitation or keeping up with demand, it is a daunting task.
Machine learning (ML) and artificial intelligence (AI) could be the missing pieces needed to improve vaccination. Health care workers tirelessly care for sick patients and help prevent the coronavirus from spreading among their employees.
AI is the bridge that will connect healthcare and technology. If these processes can be automated, caregivers and clinicians can spend more time caring for patients and vaccination communities.
Here are some of the technologies available in the healthcare industry and how AI can improve operations. (Also Read: How AI Detects Risks and Saves Money in Healthcare.)
Current technology and health care
The AI ​​sector is expected to grow rapidly in the coming years. Sales in the industry are expected to reach more than $ 500 billion by 2024.
Until the nuances of AI are fully worked out, it is difficult to know how AI can be used in different industries. Processes in healthcare, such as updating files and obtaining insurance information from patients, can be automated. What if bots can be used instead?
One company that is at the forefront of combining AI and healthcare is UneeQ. This platform enables the creation and customization of digital people. It doesn’t take long for a patient leaving the operating room to be greeted by one of these human assistants.
There are three key components to consider when using AI in healthcare:
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Diagnosis and treatment recommendations.
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Patient loyalty and adherence.
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Administrative Activities.
There’s more to be done – AI isn’t ready to perform open heart surgery just yet! However, there are many ways in which health care can be improved.
In the first half of June 2021, just over half of the US population was at least partially vaccinated against the coronavirus. With the help of bots and other ML programs, that number can increase.
Bots (not to be confused with robots) refer to software programs that optimize and streamline processes for health organizations. This software, if implemented, can transform the daily work activities of nurses, doctors, and other health professionals. (Also Read: How Big Data Can Revolutionize Home Nursing.)
Health organizations are already using bots to schedule appointments, leave messages for providers, and pull information from medical records. AI-powered bots should take care of smaller tasks – specific medical issues require the precise attention that a human doctor best provides.
The benefits of AI, ML, and bots in vaccine delivery
Before vaccinating against COVID-19, it was a task in itself to spread the word about vaccinations. Many companies have implemented data-driven outreach programs to educate people about the effectiveness of vaccines.
During the introduction of the vaccine a few months ago, there were frequent stories of people who had lost getting vaccine appointments. So some saw it as an opportunity to use AI to find a solution.
In this case, two teenagers created a bot that scanned websites for available vaccination dates, which made it much easier to schedule a vaccination time. This example of innovation shows how the use of bots and AI can benefit the healthcare industry.
Another way for health organizations to use AI is to build a blockchain. This trending technology can be used to store sensitive information. When healthcare professionals incorporate a blockchain into their systems, you will get more details about who will receive the vaccine and when it will be available. This information is valuable – and the best part is that blockchain technology is decentralized so it can be used safely in healthcare.
In addition to improved tracking, the use of blockchain enables organizations to monitor the storage and production of vaccines. As machines do the work, there is less room for human error.(Also Read: Top 20 AI Use Cases: Artificial Intelligence in Healthcare.)
Machine learning in radiology is now common practice. Machines integrated with deep learning technology can scan images and detect anomalies that humans may overlook. For patients, this could mean the difference between an incurable disease or an irregularity that can still be treated.
The use of bots to help find and schedule appointments has proven to be successful. However, there are other ways you can improve the process. Implementing appropriate education programs will enable vaccines to be introduced more efficiently, and public education and targeting of high-risk groups are critical.
Precise reporting, individual patient interactions, planning aids and the creation of blockchains are possible uses of AI in healthcare.
Improve vaccine delivery
It’s hard to find drawbacks to using current AI technology to empower the healthcare industry. Aside from improving delivery, these methods of using AI can reduce the hesitation about vaccines. As companies upgrade their technology to become more complex, it can increase public confidence.
AI, ML and bot technologies are advancing and it is crucial to decide how they can be applied in this industry. Caring for patients is a priority for healthcare professionals, and AI will make it easier for them to do their jobs successfully.
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