Artificial Intelligence in Healthcare Industry

At first, technology was just employed to automate the most repetitive and menial operations, reduce the use of paper by digitising medical records, and facilitate the simple exchange of this information among insurance providers, hospitals, and patients.

While progress on these jobs continues, artificial intelligence (AI) has broadened its uses beyond just boosting back-office productivity to become a catalyst for bettering healthcare outcomes. especially in the COVID era's current context. While having a negative impact on people's personal health, COVID has been essential in putting emerging AI technology to use.

Here are a few applications of AI in the healthcare industry:

Virtual Nursing Assistants

AI systems relieve the need for on-call virtual nursing aides. Virtual nursing assistants might help the healthcare sector save $20 billion3 annually by communicating with patients and sending them to the most suitable care setting. They can keep an eye on patients, respond to their inquiries, and so provide prompt real-time responses. The majority of virtual nursing assistant applications available today make it possible for patients and healthcare professionals to communicate frequently and consistently. There are fewer risks of unnecessary hospital trips or readmission to the hospital as this occurs in between patient visits to their doctors' offices. In addition to scheduling doctor visits and keeping track of patients' health, AI-powered virtual assistants offer individualised experiences to patients and assist them in identifying their ailments based on their symptoms.

Precision Medicine

Precision medicine is widely recognised as one of the most valuable applications of AI in healthcare. Its foundation is based on the massive volumes of data generated by a number of disruptive technical advancements, including affordable genome sequencing, cutting-edge biotechnology, and patient-owned home health devices. Keep in mind that deep learning techniques for powerful supercomputing are the foundation of precision medicine. As a result, it makes use of doctors' cognitive skills on a new level. Intel has created a deep learning algorithm in partnership with Scripps Research Institute, located in California, USA. With 85% accuracy, it could locate 23 patients who were at high risk for cardiovascular disease but were missed by conventional statistical techniques. The goal, in this case, is to develop a cognitive assistant with a variety of clinical information in addition to reasoning and analytical skills.

Chatbots

Through chatbots, artificial intelligence has the potential to improve primary care and triage. With the use of chatbots, engaging with patients is incredibly easy and provides immediate conversational responses. By avoiding unnecessary trips to the doctor, they can save money. Chatbots can even help healthcare providers meet patients' expectations while enhancing patient outcomes if they are used properly. Chatbots encourage patients to contribute their health information proactively by taking an all-in-one communication approach, which enables doctors to improve patient care quality, lower costs, and increase patient happiness.

Thus, primary care can be automated and run smoothly, thanks to AI, freeing clinicians to concentrate on serious and urgent patients. Additionally, AI healthcare solutions are adopting a more humane stance. Healthcare providers may easily create and deploy digital-human personnel thanks to digital human platforms that integrate with IBM, Google, Amazon, and Microsoft. In order to give patients compassionately, round-the-clock assistance, hospitals could use digital humans as health assistants.

Robotic Surgeries

AI technology, in the form of collaborative robots, has revolutionised the surgical field. The revolution can be seen in the depth and tempo of the cut while creating small incisions. In general, a surgery's outcome can be affected by the surgeon's expertise, particularly if it involves a complex or unusual technique. Even the most talented surgeons can operate more efficiently when AI is used to reduce case-to-case variances. Since they are accurate, AI robots minimise the likelihood of tremors or other unintended movements during surgery. Robots driven by AI, for instance, are capable of doing basic activities like accurate cutting and sewing while operating with more accuracy and miniaturisation.

Administrative Workflow Assistance

Administrative workflow automation ensures that healthcare professionals give priority to important work, allowing doctors, assistants, and nurses to spend less time on routine duties. The healthcare sector might save around $18 billion as a result of AI applications. The administrative side of healthcare can benefit from technology like voice-to-text transcriptions. They assist in automating non-patient care tasks like requesting tests, recommending drugs, and creating chart notes. Examples of AI in healthcare include a collaboration between IBM and the Cleveland Clinic. IBM's Watson analyses large amounts of data to help doctors provide their patients with highly customised and effective care. Additionally, doctors can study a variety of treatment strategies by studying hundreds of medical publications utilising natural language processing.