AI is taking over the healthcare industry, and it’s not just the recent advances in technology that are driving this change. The US healthcare system needs to transform to meet the needs of an aging population, as well as an increasing number of patients with chronic conditions who will require more complex care.
AI can help meet these challenges by automating tasks that were once performed by humans. Consequently, it frees up time for doctors to focus on more complicated cases or research new treatments. Since AI can automate the often tedious work of data collection, it comes in handy across healthcare providers. The Healthcare technology trends of AI have been around for a while now. But AI’s potential to transform diagnosis and treatment is only now becoming clear.
Moreover, AI applications in healthcare can also support clinical decision-making. This is important as it prevents human error and improves patient outcomes and patient experience down the line.
In addition, Artificial Intelligence in Healthcare empowers doctors to decide what patients need and how much time they need to cure a certain disease. When the disease detects early, it helps the doctor give better treatment plans and increases the chances of recovery.
We have been talking about AI applications in healthcare generally so far. Now let us get a little specific. Are you ready?
Variety of AI applications in healthcare to advance medicare
Well, AI can be used in healthcare application development for a wide range of solutions and methods of treatment. This can be done by using AI to analyze data and provide insights that are not available through a human doctor. We have seen many companies use AI for this purpose.
For example, IBM Watson enables patients to communicate with their doctors through their smartphones and even send them video footage from their phones. The patient’s health information is sent to the doctor, and the doctor can then use it to diagnose a patient’s condition better than any other doctor could do it. This also helps improve the quality of care as doctors are able to diagnose infections faster than before.
AI has been used to improve the way healthcare professionals diagnose different conditions. AI can create and feed a database of patient records. This allows for the detection and treatment of specific diseases faster than it would be possible without the application of AI.
The duo of AI and Healthcare goes hand in hand because it provides answers to clinical questions with accuracy rates that are unachievable by human experts. It can help provide an advanced level of diagnosis by analyzing patient data and providing medical professionals with a greater understanding of their patient’s conditions.
There are many healthcare app ideas associated with AI. You can employ advanced algorithms in AI to extract patterns in a patient’s behavior for more accurate diagnoses. Besides, it allows you to filter out false positives so that only applicable cases are tagged by healthcare workers and staff. Consequently, you can streamline the overall process of treatment and management, saving time and resources for workers on the front.
Successful Application of Artificial Intelligence in Healthcare
In addition to developing machine learning technology to help pathologists diagnose cancer more accurately, PathAI hopes to develop methods for individualized medical treatment that reduce errors. In order to expand its AI technology into other healthcare industries, PathAI partnered with drug developers like Bristol-Myers Squibb and organizations such as the Bill & Melinda Gates Foundation.
Developed by a team out of Harvard Medical School, an AI-based symptom and cure checker called Buoy’s AI uses algorithms to diagnose and treat illness. For example, its chatbot listens to patients’ symptoms and health problems, then guides them to the proper treatment based on their diagnosis.
In order to reach the right patients at the right time with the right treatment, BenevolentAI uses artificial intelligence to select the right patients and provide previously undiscovered insights through deep learning. Through partnerships with major pharmaceutical companies, BenevolentAI licenses drugs while also developing cures for rare diseases that can be easily transported. A medicine delivery app solution can complement such a brilliant drug discovery and development company to distribute drugs to wide audiences.
Why has Artificial Intelligence in Healthcare become necessary?
The usage of AI enables Healthcare service providers to avail multitude of benefits, including big data analysis, automating tasks, and medicine development to deliver enhanced healthcare at a lower cost. The benefits of AI in healthcare know no bound. For example,
Here we have some common benefits of AI in the Healthcare sector:
Efficient Drug development:
Artificial Intelligence enables faster and cost-controlled Drugs development with timelines. Conventional drug development, otherwise, can be time-consuming and expensive, especially during pandemics.
It can be difficult to diagnose patients accurately when you keep medical records on paper due to incomplete records, human error, and inefficient sequencing. Machine learning algorithms can diagnose accurately, eliminate mistakes, and improve clinical workflow efficiency once reports and documents are fed into the computing system.
Data is as safe as a house:
Patients’ sensitive and personal information is one of the biggest concerns in the healthcare system. With rapid advances in artificial intelligence, information, diagnostic findings, and clinical reports can be encrypted to prevent them from being altered or hacked. At the same time, it also allows hospital staff and physicians to access information virtually at any time and from anywhere.
An AI-enabled robot can perform successful surgical procedures that require precision, extreme care, and expertise. Robots equipped with mechanical arms, surgical instruments, and high-definition cameras are beneficial for carrying out critical and complex surgeries. This trend is only growing with the number of successful AI-enabled robotic surgeries.
Using a pattern recognition algorithm, you can identify patients who are at risk of developing a specific disease and offer preventive care. On the other hand, using machine learning and data analytics, healthcare professionals can make informed decisions with timely insights.
Streamline Patient experience:
Hospitals are always hectic with crowded facilities, extensive paperwork, and whatnot, making the patient experience chaotic. Since AI is emerging as an integral part of the hospital. It can also bridge the gap between the facility and patients. Because it makes information available right when needed. Thereby reducing confusion and overheads, ensuring users get the right information whenever they need it.
Ease Health insurance procedure:
Connected devices can help insurers capture medical data in order to process insurance claims and reduce risk. AI-based tools also enable insurers to offer transparency to clients, thus, reducing the likelihood of fraudulent claims.
Is the Future of AI in Healthcare bright as it seems?
The healthcare industry is one of the most promising sectors for artificial intelligence (AI) applications. A recent study showed that AI could help healthcare providers improve patient outcomes and lower costs. The study also found that AI can help doctors diagnose diseases earlier, enhance patient care, and reduce the need for expensive tests and procedures.
In addition, AI can help hospitals and clinics manage their resources more efficiently by automating tasks such as appointment scheduling and medical billing. AI can also help doctors and nurses communicate with patients more effectively by recommending personalized treatment options based on patient data. In this way, AI can help doctors improve patient care while reducing the need for expensive tests and procedures.
Hence, it is hard to overstate how influential artificial intelligence (AI) is in society today. AI applications in healthcare range from developing new drugs to diagnosing diseases and even providing treatment recommendations. With all of these potential applications, it is no wonder AI is often hailed as the future of healthcare.
So, the rapid worldwide growth of Medical AI is revolutionizing how we treat patients. As we move from paper-based systems to digital ones, there is more data than ever to work with.
Not only data. The Medical AI landscape is extremely diverse and includes many different tools and services. There are platforms, such as BM Watson Health, which focuses on health care, as well as other tools like Google DeepMind’s DeepMind Health.
Speaking of the Adoption of AI in healthcare:
From where we see, more and more healthcare service providers are and want to rely on AI as it can mitigate risk, enhancing operational efficiency. If we were to believe Statista,
“The AI in healthcare market was worth over 11 billion US dollars worldwide in 2021, with a forecast for to reach around 188 billion US dollars by 2030.”
Furthermore, about one-fifth of the world’s healthcare service providers were at the dawn of implementing AI in their organization till 2021. On the contrary, a quarter of health facilities and hospitals declared to be in the pilot stage of sprawling machine learning and artificial intelligence technologies.
Besides, healthcare leaders in the US reported AI had brought 56% more value than expected. On the other hand, in the European Union, about 35% of healthcare startups focused on AI-based disease diagnostics.
On the innovation side, IoT-enabled inventory management software and asset tracking systems have been doubled in the healthcare industry. As a result, such systems drive operational efficiency, ensure patient safety, and increase staff satisfaction.
Despite spending more, many healthcare organizations face poor outcomes, and clinician burnout, especially after the pandemic, is a major problem. Different generations and situations require personalized healthcare to their needs.
Millennials want the convenience of consulting with a healthcare provider from their couch — the same place they order their dinner. Meanwhile, there are groups like baby boomers with a very different approach to focusing on developing a relationship with care providers.
But today, we have the ability to move from one-size-fits-all healthcare delivery using data and AI to offer truly personalized experiences. Such systems also enable healthcare providers to let each generation access and manage care on their own terms.
Each healthcare facility will use AI today or tomorrow to provide better care. So, why not take advantage of the first mover and innovate AI application in your healthcare organization that leaves everyone talking and copying? You must ponder upon differentiating your care facility using AI.