By Nilesh Jahagirdar
Artificial intelligence (AI) has prevailed in almost every business sector. However, in recent years, technology has disrupted the healthcare landscape, fueling innovations and showing the potential to help doctors and patients. From the early diagnosis of the disease, drug discovery and trials, and precision in patient monitoring for self-care, AI algorithms have increased the experience of health service providers. According to statistics, AI spending in India is estimated to reach $11.78 billion by 2025, and is expected to add $1 trillion to the Indian economy by 2035.
New age technology is so dominating the healthcare industry that it is known as the new nervous system. It is significantly transforming and improving key processes inside and outside of front-line administrative work. AI-powered automation tools further improve operational efficiency and free up focus on patient care. As the healthcare industry moves towards home care, the need for AI technology is strongly felt by stakeholders.
Accelerated Drug Discovery and Development
Treating chronic health diseases it is enabled through deliberate drug discovery and development. The entire process goes through multiple challenges that make it a tedious, time consuming and expensive affair. From design to testing, numerous difficulties arise before the drug reaches the market. As a result, it represents a significant risk for timely treatment of certain medical conditions. One of the most relevant and recent examples of this is the vaccination against COVID-19, which clearly showed the need to remove procedural obstacles to expedite treatment.
AI deployment offers more effective approaches to drug discovery, development and delivery. Reduces the amount of computing capabilities involved in the process and performs data analysis faster than the human brain in a fraction of the time, speeding up the entire drug discovery and development process.
Improved patient experience
In the traditional healthcare landscape, the patient experience is influenced by several factors: crowded healthcare facilities, the increasing volume of reports, and confusion around insurance and other departments. This makes it difficult to access medical care. The advent of AI has become a savior, as its integration has helped quickly scan data, prepare reports, and make it easy for patients to know exactly where to go, who to contact, and when. AI has been the backbone of remote consultation and patient follow-up. It has digitized the entire consultation and treatment process, including timely updates, report availability, appointment scheduling, etc.
Furthermore, the integration of AI in connecting devices has helped healthcare stakeholders to take advantage of real-time monitoring of patients during heart attacks, asthma attacks, panic attacks, etc. remote monitoring The devices track patient activities and record data in real time, allowing doctors to make quick and informed decisions.
Accuracy in diagnosis
AI has shown promising results in revolutionizing clinical decision making and diagnosis. The traditional medical approach allows doctors to examine a patient’s symptoms and determine the diseases that cause them. However, the integration of the AI approach is purely intuitive and identifies diseases that are strongly correlated with the patient’s symptoms. Also, AI combined with machine learning algorithms eliminates the scope of human errors. Incomplete medical reports, inefficient sequencing, and large caseloads often lead to errors. However, once the reports are entered into a computer, advanced algorithms supported by AI and ML arrive at the correct diagnosis, eliminate errors and improve the efficiency of medical facilities.
data security
Medical data is highly personal and requires 100% confidentiality. Many patients are unwilling to share data through digitized channels, which makes it even more critical. Additionally, it may also include patient financial information associated with payment details, insurance claims, etc. Therefore, it presents significant risks and threats when uploading to the cloud. The implementation of AI in healthcare systems helps encrypt personal information, clinical reports, diagnostic findings, and more. As a result, the entire system is protected, preventing it from being hacked and ensuring the safety of cloud storage of patient data.
Bottom line
Despite the important advances in the health sector that AI has brought, its deep penetration and adoption is still in its infancy. What health tech startups are adding new capabilities to the technology, further advances in the industry are expected.
Nilesh Jahagirdar, Co-Founder and Vice President of Marketing and Solutions
(DISCLAIMER: The views expressed are solely those of the author and are not necessarily endorsed by ETHealthworld. ETHealthworld.com will not be liable for any damages caused to any person/organization directly or indirectly)
