In healthcare and biometric research, artificial intelligence (AI) holds the promise of automation of tasks to deliver faster diagnosis and provide better care. However, among healthcare professionals and the public, knowledge of the latest developments and skills in AI are still very limited.
This causes anxiety which leads to potentially unrealistic expectations, in turn drastically decreasing the speed of adoption of AI in healthcare. For patient care to benefit from AI, we need to decrease anxiety and increase knowledge for everyone involved in healthcare.
In this blog, you’ll get to know how the implementation of artificial intelligence (AI) is solving the problem of staffing shortage in healthcare.
Staffing Shortage In Healthcare
One of the biggest challenges that the healthcare industry is facing these days is the problem of a staffing shortage. It’s not only the front-line people, but it’s also administrative people that are hard to keep and hard to find.
According to a survey, around one in four nurses left their jobs within the first year. The research found some main reasons were burnout and managerial issues. Lack of peer support and moral distress. It can be stated that the healthcare industry had already seen something like this coming their way in the near future, it was just that the pandemic kicked it into high gear.
The Impact Of Covid-19 Pandemic
Burnouts, turnover, nurses’ workload, etc. all of these issues that have been going on for years have been exacerbated by the pandemic. Taking care of covid patients is extremely stressful, but for nurses, it is more stressful because they are used to taking care of patients from their bedsides. There are many reasons for the nurses to leave their jobs that have led to increasing the shortage of staffing in the healthcare industry.
The Importance Of Artificial Intelligence (AI)
AI is becoming more sophisticated at doing what humans do but at a faster rate with more accuracy and efficiency and at a lower price. AI has the potential to gain information, process it, and give a well-defined output to the end-user. Artificial intelligence (AI) does this through machine learning (ML) algorithms and deep learning.
Artificial Intelligence (AI) in Healthcare
AI technology has a huge potential for transforming the healthcare industry in the most phenomenal way possible. Especially, in the context of health-related mobile apps and other medical tools to improve care.
AI is finding its use in healthcare for diagnosis processes, robotics, drug development, better decision-making, and patient monitoring and personalized care.
Artificial intelligence has a huge potential for improving the process of diagnosis of diseases. AI techniques such as support vector machines, neural networks, decision trees, and many more can be used to successfully diagnose and treat many diseases.
Artificial Intelligence (AI) In Helping Staffing Shortage In Healthcare
Currently, doctors in the emergency departments and GP clinics are overworked and fatigued. Therefore, this leads to more errors in patient diagnosis. One of the ways to reduce this error is through artificial intelligence (AI) assistants. Imagine when the patient books an appointment, they also submit a list of symptoms they’re experiencing.
Using these symptoms, the AI engine behind the scenes can make a couple of pre-diagnosis and send them straight to the doctors. So the doctors know exactly what to expect before even seeing the patient. The AI assistant can successfully reduce the risk of misdiagnosis.
Following are some more key points on how the implementation of AI will help the nursing staff:
- With the usage of artificial intelligence (AI), the time taken for compiling the documents and bureaucracy will definitely be cut down, making the nurses focus more accurately on patients. Moreover, it will be highly beneficial for the patients while compiling their health files.
- A better workflow ecosystem for the nurses will get developed with the implementation of AI. there will be no need for the healthcare staff to maintain the data manually as records will be maintained automatically. Hence, reducing the stress of staff as well as increasing the efficiency and effectiveness of work.
- Over-diagnosis will be prevented with the machine learning algorithm as it enables in improving intake predictions. AI ensures reducing hospital admissions and helps the care workers to avoid hospital readmissions.
Conclusion
To sum up, artificial intelligence (AI) ensures better management, better execution of plans, and better coordination among the staff and the hospital. As explained above in this blog, artificial intelligence (AI) has the potential to solve one of the biggest challenges of healthcare, which is staffing shortage. Already many hospitals have started implementing AI and reaping plenty of benefits from it. In the coming years, AI will play a magnificent role in uplifting the healthcare industry.
Are you looking to implement artificial intelligence (AI) technology into your healthcare business? If yes, so, please feel free to contact us at support@aeologic.com
