The healthcare industry has evolved with the help of new technologies. Patients and physicians alike benefited from the shift of in-person visits to remote monitoring and teleconsultation. The digital transformation of the healthcare industry has been accelerated in the last couple of years. There are many opportunities to use technology to implement timely, targeted treatments that have a greater chance of success in managing conditions like chronic illnesses, cancer, radiography, and risk assessment.
The way we approach healthcare is being significantly altered by artificial intelligence (AI). Its potential to disrupt the healthcare business is enormous, and its influence on healthcare’s value-care proposition is evident. In healthcare, the value-care proposition refers to the equilibrium between the quality of treatment and the cost of care. Using AI, healthcare companies may deliver better treatment at a reduced cost, which is better for patients and physicians alike.
Designing an intelligent health system
Healthcare organizations have indeed started using new technologies like artificial intelligence (AI), and machine learning (ML) in their daily interactions, although the usage is at a nascent stage. Prediction is a key application for AI and machine learning. Organizations are utilizing AI to forecast a wide range of scenarios, from the number of patients visiting emergency rooms (to better manage personnel and triage) to the efficacy of potential therapies for people with different diseases. Natural language processing (NLP) is also being used to assist human radiologists in their interpretation of patient images, leading to better treatment for patients.
The most promising use of AI in healthcare is in its ability to significantly alter clinical procedures. AI may be useful since it can automate or supplement human efforts in the healthcare industry. With the help of AI, we can streamline the work of physicians and nurses, which will ultimately benefit the patients. AI-driven applications and gadgets continue to assist consumers in their quest for speed and convenience as they encounter medical treatment.
Moving toward the future with the help of AI
Better diagnosis and treatment are two ways in which AI has been altering the value-care proposition in the healthcare industry. It can evaluate big datasets, such as those collected from patients, to provide quicker and more accurate diagnoses. Better outcomes, lower costs, and more timely interventions are the results of this. In addition to helping physicians diagnose their patients, AI-powered technologies may also aid them in selecting the best therapies. AI has the potential to assist medical professionals in delivering better treatment by giving tailored suggestions based on each patient’s distinct needs.
Predictive Analytics: Predictive analytics is another area where AI is changing the face of the healthcare industry. It can predict future health issues by examining massive volumes of patient data. This enables doctors to act sooner, which may avert more severe health problems and save money. Predicting a patient’s risk of getting diabetes or heart disease using AI, for instance, allows doctors to provide preventative therapy that lessens the possibility that the patient would acquire such problems.
Chatbots: The use of AI has enhanced the whole healthcare process, from diagnosis to treatment to the patient’s overall experience. Patients may benefit from virtual assistants and chatbots powered by AI in many ways, including gaining access to information, scheduling appointments, and communicating with their healthcare professionals. This improves the healthcare system as a whole and benefits patients by reducing the burden on doctors and nurses.
In the long term, healthcare organizations have the opportunity to strengthen their competitive stance, achieve profitable growth, engage customers, and provide tailored customer experiences by investing in more revolutionary uses of AI. The partnerships that health systems have with technology partners, professional services organizations, and academic institutions should be aggressively cultivated, and the health systems should explore playing a more active role in AI innovation. They should also urge stakeholders, such as doctors, clinical staff, and administrative personnel, to aspire to be advocates of an AI-augmented workforce and support its implementation.
Organizations in the healthcare industry that are able to apply ML and AI to design a genuinely intelligent health system will be the most successful in the coming future.
Gaurav Jain
Senior Vice President, Clinical Support Solutions, IKS Health
