Impact of AI on Healthcare

Impact of AI on Healthcare

Introduction Healthcare is one of the most evolving fields. In the past year, it has really been indispensable due to COVID-19 and the research surrounding it. Doctors and researchers from all over the world contributed to the research. This has really elevated the standards of research and development. Artificial Intelligence is also being worked upon in various industries. The presence of Artificial Intelligence in a core industry like healthcare seems very crucial now. AI is expected to emulate expert specialized cognition in the field of healthcare too. The tech-giant Google even launched Google's Healthcare API so patients can easily access their health information. Let’s look at how Artificial Intelligence and Machine Learning will impact the healthcare sector positively.


Impact of AI on Healthcare


Impact of Artificial Intelligence in Healthcare

These are some of the ways that AI may impact the healthcare sector:

1. Virtual Health Assistants

Virtual Health Assistants can help in actively assisting patients, setting reminders, regulating prescriptions and refills, and recommending preventive treatments to patients. VHAs can easily assist in basic regulatory work in healthcare such as diet restriction or dosage specification. This will eliminate the manpower required to function in the basic roles and help them find more areas to utilize their expertise. This will also help in verification of suggestions by professionals to prevent human error.

2. Diagnosis

Diagnosis or the detection of symptoms of conditions can be done through AI technology. While detecting moles, rashes, nodules, rashes and lesions or skin cancer could even be a feature of a smartphone in the coming years. Diagnosis is a length process both for the doctor and for the patient. AI can make the diagnosis an easier process. Many companies including Alphabet are working on high-level image recognition and clinical decisions on the diagnosis.

3. Healthcare Bots

Healthcare BOTs exist to assist patents with their fundamental questions. They work as Chatbots and answer health-related questions. They can even perform high-level image recognition. In the years to come, we can see AI prescribing medication, mining medical records, etc., being done through AI technology.

Impact of AI on Healthcare


4. Analytics on Medical Records

AI technology can easily analyze complex medical records and determine patterns or behaviors in health. This can help in the diagnosis and treatment of any conditions. This may help with treating mental health too. Medical Records must be preserved digitally for analytics to work efficiently on it.

5. Reduction in Costs

AI can reduce the cost of medical treatments. It can help the healthcare sector invest more in treatments and further research. Some of the areas where AI can reduce costs are:
  • Surgeries assisted by robots
  • Virtual Nursing Assistants
  • Administrative Workflow Assistance
  • Fraud Detection
  • Connected Machines
  • Clinical Trial Participant Identifier
  • Preliminary Diagnosis
  • Dosage Error Reduction
  • Automated Image Diagnosis
  • Checking Human Error

Benefits of AI in Healthcare

AI will help in advancements in the sector of healthcare. It has the potential to upgrade the level of treatments as well as the research in the health sector. Planning treatments and assessing them can be very easily done through AI technology. MRI scans, CT Scans and x-rays can allow instant diagnosis and help in further treatment. The most notable research in AI is being done on its ability to provide faster diagnostics. You can also take help from The Hemp Doctor. Doctors can be helped with diagnostics, physicians can use Virtual Health Assistants for assistance. This will also facilitate the healthcare sector in diverting resources towards research and development. This can help us find cures to diseases that were incurable and diseases nobody has heard of. This will create a better landscape for healthcare. Treatment plans can also be looked over by healthcare bots or Virtual Assistants. Most of the times, the doctors may not be able to keep up with the plan; assistants will be able to maintain proper communication between the patient and the doctor while looking after the progression of the treatment plan.

Impact of AI on Healthcare

Conclusion

With the various benefits AI has to offer, there are many risks and challenges that AI may seem to be prone to. The accuracy of AI is still not the most relied upon. The accuracy of AI is influenced by the simulation of human cognition through various codes and logics. The results given by AI may not be accurate and that poses a serious threat to the patient’s safety and doctor’s credibility. There are many cases that are different from a large set of cases. The human body is biologically evolving and doctors are trained in treating different cases. AI may not be able to simulate the same kind of reasoning in such times. AI may take the healthcare sector ten steps ahead from where it is now but it might also make it retreat in the case of mishappening. Probably, the reason why AI has not been the most positively talked about in the real world is because of the risks it offers to human lives. In the years to come, we will see a very advanced version of what we know AI to be. It would be very enlightening for everyone to see the use of AI and ML in the healthcare sector. 

Author's Bio 

Rahul, an engineer by profession, has a knack for technology which brings him on board as a blogger with TechConsumer.com, a one-stop destination for information regarding gadgets, home tech, and tech reviews. When not in his techie-mind, you'd often see him cafe hopping and enjoying comedy shows.
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