Artificial intelligence has been often depicted as villain robots which are ready to take over the world. AI has the ability to save lives and improve health care for millions of patients around the world.
AI helps health organizations to personalize the delivery of care, make hospitals more efficient and improve access to health care by providing smart AI devices. Spending on AI in healthcare is projected to grow at an annualized 48% between 2017 and 2023.
Benefits of artificial intelligence in healthcare include conventional analytics and clinical decision-making methods, learning algorithms with training data, people may acquire new insights into diagnosis, care procedures, treatment variability, and patient outcomes.
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What is Artificial Intelligence in Healthcare?
Artificial intelligence in healthcare refers to the use of complex algorithms to execute certain tasks in automated form. AI helps in making clinical decisions, understanding the risks and in increasing the success rates of the treatment options.
Artificial intelligence is transforming the way healthcare is being delivered to the world. Health sector organizations have combined vast data sets in the form of health records and images, population data, claims data and clinical trial data.
AI technologies are relevant to figure out the data and insights that humans could not find on their own. AI keeps the track of similar conditions or even similar genetic information.
Why is artificial intelligence important in healthcare?
Artificial Intelligence Powered healthcare analyzes big data sets – pulling together patient insights and leading to predictive analysis. AI quickly obtains patient insights and helps the healthcare ecosystem discover key areas of patient care that require improvement.
10 Benefits of artificial intelligence in healthcare
- Fraud detection: Artificial intelligence automates claims assessment. Machine learning models discover invalid claims before they are obtained and facilitate a quick process, approval, and payment of valid ones.
- Administrative workflow assistants: Doctors at hospital spend more than 10 minutes per patient just for filling out EHR forms. But with AI-powered workflow assistants, surgeons can stop worrying about administrative tasks and dedicate their time to patients.
- Virtual nursing assistants: patients around the world search for solutions on google about their symptoms before turning to doctors, and the results of self-diagnosing turn out rather scary. Virtual nursing assistants prevent such deceptive attempts.
- Prescription error recognition :It is reported that nearly 98,000 people die annually, because of mistakes committed by medical professionals in hospitals in a ratio of 1:5 doses. AI algorithms in healthcare fight prescription error.
- Automated image diagnosis: AI-powered Image recognition assists doctors in improving prognosis, diagnosing tumors,infections, fractures, and other illnesses and conditions. Artificial intelligence Image recognition is also being used to fight the pandemic. Huiying Medical developed an AI-powered imaging solution that analyzes patients’ chest scans and detects the COVID-19 virus with accuracy of 96%.
- Cybersecurity: During COVID-19 ransomware attacks are taking place in the healthcare sector, starting from April 2020.Attackers target the medical manufacturing sector, billing system etc through ransomware. The most common ransomware that has been seen during the COVID-19 situation was ‘NetWalker ransomware’, ‘PonyFinal ransomware’, ‘Maze ransomware’ etc.,. AI-based security eliminates data leakage and detects and neutralizes cyberattacks, so attackers are caught before they do any damage to the system
- Smart medical devices: AI powered smart medical devices monitors glucose, insulin delivery and wearables for monitoring blood pressure and other vital signs.AI devices have the ability to prevent life-threatening crises through real-time patient monitoring and alerting.
- Primary diagnosis and selection of optimal treatment strategies: AI powered optimal treatment strategies helps to ease the strain on resources and diagnose diseases faster with the accuracy of top medical experts.
- Hospital efficiency: by reducing human error and contributing up to date information Artificial intelligence enhances the hospital efficiency.
- Robot-assisted surgery: artificial intelligence powered robotic instruments help surgeons make more accurate and delicate motions. AI- powered robots lower risk of infections, less pain and faster recovery.
Artificial Intelligence applications in Healthcare
There are different opinions on the most advantageous applications of AI for healthcare. In 2018 According to Forbes the most important areas would be administrative workflows, image analysis, robotic surgery, virtual assistants, and clinical decision support
AI delivers better healthcare faster, and at a lower cost. There are several large companies working in this area including IBM Watson and Google’s Deep Mind.
Google Cloud’s Healthcare app that makes it easier for health organizations to collect, store, and access data and IBM Watson’s ability to pinpoint treatments for cancer patients are the best examples of artificial intelligence in healthcare.
Future of Artificial Intelligence in Healthcare
There are quite a few applications of AI in the market today or awaiting approval that can improve patient care and potentially save lives. While each Artificial technology can contribute significant value alone, the larger potential lies in the collaboration generated by using them together across the entire patient journey, from diagnosis to treatment, to ongoing health maintenance.
Artificial intelligence in healthcare expands in its abilities to diagnose more people precisely in nations where less doctors are accessible to the public. Many new technology companies such as SpaceX and the Raspberry Pi Foundation have allowed more developing countries to have access to computers and the internet than ever before.
With the rising capabilities of AI over the internet, advanced machine learning algorithms can allow patients to get accurately diagnosed. Using AI in developing nations who do not have the resources will reduce the need for outsourcing and can enhance patient care.
Advantages of artificial intelligence in healthcare
- Improved accessibility.
- Early diagnosis.
- Increased speed and reduced costs.
- Efficient and unique assistance in surgery.
- Enhanced human abilities and mental health support
Healthcare Industry trends in India
Healthcare is one of the largest sectors in India, providing quality healthcare for the more than 1.3 billion population. The Indian Healthcare Industry will reach approximately 372 billion USD by 2022.
India has observed various innovative trends in the last decade some of the key trends are:
- Consumer devices, wearables, and apps
- 3D printing technology
- Laser technology
- Blockchain
- Voice-controlled assistants
- Remote care
- Telemedicine
Conclusion
AI plays a prominent role in the coming future, it provides primary care to advance care. Accepting artificial intelligence overcomes rigorous challenges in healthcare.
The greatest challenge to AI in these healthcare sectors is ensuring their adoption in daily clinical practice.AI systems will not replace human clinicians on a large scale, but rather will multiply their efforts to care for patients, the one who refuses to work alongside artificial intelligence might lose their job.
Also read artificial intelligence in agriculture.
