What Is The Most Used Technology In Healthcare?

The healthcare industry is now more than just doctors or healthcare workers. Technology is added as a new team in healthcare.

However, the technology consists of different team members and AI is the most used team member in healthcare.

The future of healthcare runs on algorithms! Oh yes, that is true, AI is shaking things up in the medical world. 

Seriously, AI is a game changer analyzing X-rays faster than a speeding bullet, spotting diseases in their early stages, and even suggesting personalized treatment plans. 

AI on the team, healthcare is on the fast track to becoming a world of faster diagnoses, better treatments, and maybe even robot nurses who make a killer cup of tea.

How is AI Used in Healthcare?

Wondering how AI can be used in healthcare? Look! It is just like a one-man army that performs multiple tasks. Believe it, AI has truly changed the diagnosis game and the way people get treated while reducing the overall cost. 

For example, it acts as a magnifying glass for radiological images to detect disease as early as possible and also acts as a doctor to predict results from electronic health records (EHR). 

Forget those days when doctors used to take longer to diagnose and still needed second opinions. But since the introduction of AI, it has become much simpler as with the help of AI, doctors can diagnose the markers quickly because it can analyze a huge amount of clinical evidence.

AI’s magic is not just limited to these two tricks but it also helps in automating administrative tasks, drug discovery, robotic surgeries, remote monitoring, predictive analysis, and virtual assistants & chatbots. It helps in saving time for both healthcare professionals and patients.

But before moving forward and diving into the depth of its applications in the healthcare industry, let’s look at some useful insights as evidence of the importance of AI in healthcare.

Important Insights to Know About AI in Healthcare

  • Forty-seven percent of hospitals and health systems reported that they are turning to artificial intelligence to help alleviate staffing and labor insufficiencies, a March 15 survey from the Health Management Academy found.
  • Around 52% of hospitals globally have implemented AI technologies in various capacities.
  • In the US, approximately 75% of hospitals are utilizing AI-driven solutions for improved patient care and operational efficiency.
  • The global AI in healthcare market is expected to reach $45.2 billion by 2026.
  • The implementation of AI in healthcare reduced around 20% of physician’s time in administrative tasks.
  • 90% of hospitals will use AI-powered technology for early diagnosis and remote patient monitoring by 2025.

let’s move further on to AI’s applications in the healthcare industry to understand its importance and usefulness in the healthcare sector.

Applications of AI in Healthcare

use of AI in Healthcare

Healthcare organizations are using AI  to improve the efficiency of all types of healthcare-related processes. AI can be used in the following ways in the healthcare industry.

1. AI in Administrative Tasks

Huge registers loaded with information have now become a thing of the past. The introduction of AI in this area helps boost the process. It can reduce the time taken by physicians to do pen and paperwork. 

Likewise, the process of other administrative tasks like invoices, patient flow and staffing, scheduling, vendor contract management, data migrations, and medical billing can also be done quickly and accurately with the use of AI.

2. AI in Early Disease Detection

Some of you may or may not have an experience of losing a loved one due to late disease detection. But not anymore, AI has been introduced as a superhero to save lives by providing early disease detection helping medical providers to begin preventive treatment options.

This is not it as AI algorithms can also detect indicators such as genetics, lifestyle factors, vital signs, and environmental data to find out the individuals sensitive to diseases.

It also helps in continuous monitoring of the patient’s glucose levels, and cardiac and neuromonitoring. With the help of AI algorithms, medical professionals can catch and examine tiny abnormalities in the scan that might be overlooked by the human eye.

Morgan Stanley’s Health Care Research team says there remains significant opportunity ahead. They think larger companies look best positioned to collect proprietary data sets at scale and invest in training and implementing AI innovation.

3. Use of AI in Drug Discovery

The Discovery and development of new drugs is a lengthy and complex procedure but AI speedups this process. 

In the Early days, could you even imagine personalized medicines? No! Right? But AI has made it possible. AI helps researchers to understand the unique genotypes of patients to develop more targeted medicines.

Chris Moy, Scientific Director, Oncology, Data Science & Digital Health, R&D, Janssen says:Drug discovery is an extremely challenging process with only a small percentage of lead compounds moving into clinical trials and an even smaller percentage becoming approved medicines”

“AI is not only helping us identify the right targets for complex diseases, but it’s also helping us design fit-for-purpose molecules to treat diseases and optimize them to provide targeted treatment to the disease while also reducing the impact of side effects.”

The above applications of Artificial Intelligence will help researchers develop the most promising drugs.

4. Virtual Assistants And Chat Bots

Have you ever felt frustrated waiting for your doctor’s appointment to ask general questions? For example, medical queries, scheduled appointments, and receiving medical guidance in real-time.  

 It used to happen usually in the early days but this problem is solved with the introduction of AI. 

With AI-powered virtual assistants and chatbots, patients can communicate with healthcare providers anytime as these chatbots are available 24/7.

Virtual assistants in healthcare prevent long queues in hospitals as they provide instant answers to patients. 

5.  Remote Monitoring And Predictive Analysis

AI can identify the changes in health metrics, detect patterns, and predict potential health issues. 

It allows the analysis of the patient’s data in real time, and AI can identify the changes in health metrics, detect patterns, and predict potential health issues. This cautious approach improves patient care and develops severe conditions. Simply, it improves the overall outcomes of patient treatment and highlights the importance of predictive care. 

There are multiple wearable devices with AI are available in the market today such as smart watches and fitness trackers. They help in the continuous monitoring of vital signs such as heart rate, blood sugar level, oxygen levels, sleep cycle, and blood pressure. 

Radiologists at Lahey Hospital & Medical Center have integrated six artificial intelligence (AI) algorithms into their clinical workflow. The algorithms help diagnose and triage imaging studies for potentially critical findings, prioritizing potentially positive studies and improving patient care.

Successful Case Studies of Implementing AI in Healthcare

Nabla uses GPT-3 to power its healthcare assistant platform, Copilot  

French digital health startup Nabla launched a digital assistance tool for doctors in March 2023. The tool, named Copilot, uses OpenAI’s GPT-3 to translate conversations between doctors and patients. Copilot is added as a Google Chrome extension and helps to record and repurpose information from video calls. It is compatible with any video call system, including Google Meet, Zoom, and other telehealth products. 

Nabla is a French digital health startup that launched a digital assistance tool named “Copilot” for doctors in March 2023. This tool uses OpenAI’s GPT-3 to translate conversations between patients and doctors. Copilot is added as a Google Chrome extension and helps to record and repurpose information from video calls. It is compatible with any video call systems like Google Meet, Zoom, and other telehealth products.

 

This tool automatically converts the doctor-patient conversations into various documents such as prescriptions, consultation summaries, and confirmation letters. It also updates the patient’s medical record. Nabla Copilot helps doctors focus on patients and allows better engagement throughout the consultation. It also helps reduce the overwhelming burden of repetitive tasks for doctors

Future of AI in Healthcare

Let’s look at the numbers to find out the future potential of AI in healthcare.

According to statistics, In 2021 AI in the healthcare market was worth over $11 billion worldwide and forecasted to reach around $188 billion by 2030.

From the above-gathered information and discussed areas, it is evident that the future of AI in healthcare seems to be bright. AI is revolutionizing every aspect of the healthcare industry with its innovations. It magnifies patient outcomes and enhances operational efficiency. 

Digital technologies continue to transform the approach patients seek care and how physicians deliver it. AI in healthcare has numerous exciting opportunities in the field of healthcare and is the most widely used technology in healthcare. It is bringing revolution in several areas of medicine such as diagnosis, early detection of diseases, drug development, personalized treatment plans, and healthcare operations. 

Currently, AI and ML are already helping healthcare institutions in carrying out. AI holds a significant future in the healthcare industry.

Conclusion

Conclusively, we can say that the use of AI is going to be increased in the healthcare industry. It is seen to be potentially beneficial in various areas of healthcare ranging from personalized medication to robotic surgeries. Recently, we have witnessed several advancements in the medical field due to the integration of AI into medical practices such as planning treatment, diagnostics, and even surgical procedures. However, it is crucial to avoid data biases by using proper algorithms based on real-time data. The field of medicine is also considered a constant evolutionary and innovative field.

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FAQs

1. What new technology is being used in healthcare?

Geospatial technologies, social media monitoring, wearable tech, 3D printing, and telehealth are some of the tools that medical professionals are employing to improve patient care and outcomes.

2. What type of technology would greatly assist healthcare?

AI in healthcare, as mentioned in this blog post, AI plays a crucial role in the healthcare industry. It helps healthcare professionals to make more informed decisions and improve patient care. 

3. What technology has the greatest impact on healthcare?

In a survey, 65% reported that artificial intelligence will have the most impact on healthcare. 

4. What is the most common use of AI in healthcare?

The following are the most common uses of AI in healthcare:

  • Improved medical diagnosis
  • Speeding up the drug discover
  • Transforming patient experience
  • Managing healthcare data
  • Performing robotic surgery

5. What is a real-world example of AI in healthcare?

Medical image analysis is one of the common ways AI is being used in healthcare is in image analysis.