According to a survey, a doctor in the US attends 18 patients a day on an average. This means, in a year he sees 2,160 patients. A hospital with a staff of 20 doctors will have 360 patients on a daily visit. Managing the data of thousands of patients and keeping them secure and confidential without restricting the concerned doctor from accessing it is now a duty of AI.

There are primarily three types of AI apps that have changed the way medical records are handled.

Artificial Intelligence and Health Care Records

Predictive Analytics: The AI app allows companies as well as healthcare experts to use AI for determining the possible outcomes of the treatment on the patient, whether the patient will recover or will his health worsens. The findings further help understand the nature of the disease and research on a solution.

The AI app allows companies as well as healthcare experts to use AI for determining the possible outcomes of the treatment on the patient, whether the patient will recover or will his health worsens. The findings further help understand the nature of the disease and research on a solution. Diagnostic Analytics: The historical health data of the patient is analyzed using data analytics. This helps to figure out the cause of the health outcome.

The historical health data of the patient is analyzed using data analytics. This helps to figure out the cause of the health outcome. Prescription Analytics: When a newly research medicine in induced in the patient the prescription analytics examines and records the results.

The AI has touched almost all aspect of science. Today, we have robotic surgeons, automatic machines capable of diagnosing a problem and more. The scope of AI in the healthcare sector is immense as the need in itself is infinity. Looking at the speedy adoption of AI in the healthcare sector, it is not difficult to imagine robots replacing nurses and surgeons. According to a study by Accenture, AI has the potential to save $150 billion a year by improving the diagnosis, case study of the patients and effective surgeries that may keep the government from spending on the treatments of health problems occurring after certain medical procedures.

There are already many Artificial Intelligence applications that have found their way to the healthcare sector.

Robot-assisted surgery

Cognitive surgical robotics unites information from real surgical encounters to make surgical techniques more superior. In this process, medical teams merge the data from pre-op medical records with actual surgical experiences. This technique reduces the length of a patient’s stay in hospitals after their operation. “Da Vinci” Robot allows surgeons to perform with greater control and versatility as compared to traditional approaches. A surgeon controls it through a computer, and this robotic technique reduces the scope of error.Another mobile robot named “HeartLander” enters the chest through a cut below the breastbone. It decreases the devastation needed to access the heart and allows the use of a single machine to perform mapping, sensing, and treatment in a stable manner. The estimated cost of Robot-assisted surgery is about $40 billion.

Virtual assistants for nursing

Virtual nursing assistants reduce unwanted hospital visits and also cut off the load on medical professionals. According to the reports of Syneos Health Communications, it has been observed that 64 percent of the patients feel comfortable with AI virtual assistants for nursing. Sensely, a San-Francisco based Virtual nurse assistant has raised $8 million to place some nurse avatars, which are powered by AI, to patients and clinics. The objective of this technology is to keep healthcare providers and patients in the loop between office visits and avoiding readmission in hospitals. Angel is also another good example for virtual nurse assistants. It enables health check-ups through voice and AI to produce better medical results at a reasonable price. The estimated cost for Virtual nursing assistants is about $20 billion.

AI Assistant for Administration and Workflow

AI in administrative workflow enables healthcare providers to prioritize critical matters.

Furthermore, AI can help in saving the time of nurses, doctors, and assistance for their daily tasks. Some of these AI applications include voice-to-text documents. This feature does non-patient healthcare activities like medicine prescription, ordering tests and writing chart notes. Another company, Nuance is also an AI-powered company in the healthcare sector. They help healthcare providers in saving their time on documentation and also improves reporting quality.

On the other hand, there is a five-year agreement between Cleveland Clinic and IBM. Their objective is to revolutionize the administrative operations. This helps physicians by providing them with more efficient and personalized support during treatments. A similar move has taken by John Hopkins Hospital by having a partnership with GE Healthcare Camden Group. The motive is to improve the efficiency and patient care by adopting hospital command centers qualified with the predictive diagnosis. This strategy helps healthcare professionals to make informative and quick decisions for operational tasks.

Another interesting way of how AI impacts and reduces obesity is mentioned in this article.

Conclusion

With the help of these AI applications, there will be a reduction in human errors eventually improving the results. However, there is a fear in Patients and Healthcare Providers. This is due to the fact of lacking human supervision in standard terms and machine errors. These errors can lead to mismanagement of health care system. Despite having such fear, AI in health care is increasing and is now inescapable.