• AI in Healthcare

The Future of AI in Healthcare Software: Opportunities and Challenges

  • Felix Rose-Collins
  • 8 min read
The Future of AI in Healthcare Software: Opportunities and Challenges

Intro

Who knew that once considered a fad would now be one of the most trending, upbeat, and in-vogue technologies globally among different industry verticals? The concept of AI/Artificial Intelligence seems to have penetrated extremely deep among other industry segments including education, healthcare, finances, banking, entertainment, and a lot more. Well, since we don’t have ample time, I won’t be able to reach out to the importance of artificial intelligence in every industry vertical. So as the name implies, I would specifically focus on the concept of artificial intelligence in the healthcare realm and how it seems to be a promising future, especially in the upcoming years.

A Better Understanding of AI in the Healthcare Realm

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One thing is for sure, the development of disruptive technologies such as artificial intelligence is successfully transforming and revolutionizing the healthcare industry. A new world of endless possibilities and opportunities is created especially in regards to medical diagnosis, treatment, and patient care.

The concept of artificial intelligence seems to have been transforming the healthcare industry over a couple of years to a great length. Yes, a new world of possibilities and opportunities seems to have been developed and healthcare professionals are simply loving it. For them, it is possible to make faster, more accurate decisions streamlined procedures, and utmost care for patients. In comparison to earlier days, getting easy access to troves of healthcare data and advanced data algorithms now seems to have re-instigated seamless working among different healthcare organizations. Well of course certain areas require some kind of scrutiny such as protecting patient data, maintaining privacy, and balancing the ethical and legal implications of leveraging patient data to train AI-based algorithms significantly. So as a healthcare professional, it is your sole responsibility to strike a healthy balance especially when integrating new technology.

The world seems to be craving for more and more apps featuring medical imaging analysis personalized treatment recommendations and so more. Healthcare organizations now no longer stuck on conventional practices and are increasingly experimenting with machine learning technologies and algorithms to assist with diagnosing diseases within medical images featuring X-rays, MRIs, and CT scans. Not just artificial intelligence and machine learning, natural language processing (NLP) algorithms are even considered for extracting critical insights from vast amounts of unstructured medical data, featuring electronic health records (EHRs) medical literature and so more. So if we see from the clinician's point of view, better, accurate decisions can be made around the patient's healthcare. No wonder the global AI healthcare market is expected to grow at a CAGR of 38.5% from 2024 to 2030. Partnering with AI software for healthcare providers like AltheaSoft can further enhance the integration of advanced AI solutions, streamlining diagnostics and improving patient care outcomes.

Benefits of AI in Healthcare Realm

#1 Accurate and efficient Diagnostics

Before the integration of these kinds of technological advancements, misdiagnosis has always been a major concern in the healthcare sector; fortunately, this no longer seems to be the case anymore. The concept of artificial intelligence has successfully assisted in overcoming such issues by enhancing the accuracy of diagnosis and increasing the efficiency of healthcare professionals simultaneously.

Now it is possible to conduct accurate analysis of medical imaging, including patient reports, CT scans, MRI reports, X-rays, mammograms, etc, especially among those areas that are not visible to the human eyes. It may quite interest you to know that at times AI can be way more accurate and faster than a radiologist, especially in analyzing almost all kinds of medical data. However, many radiologists do fear the fact that the technology might completely replace the professionals one day but as of now, it’s not true.

#2 Personalized Patient Care

The next benefit offered by artificial intelligence technology is that it ensures personalized patient care. Yes, the technology successfully analyzes a patient's data sincerely in depth including its medical history, genetics, and lifestyle factors. In addition, special personalized treatment plans are enabled by AI, can you believe that? Well, most of the solutions offered by AI are strictly cloud based where it is possible to collect tons and tons of data on a medical platform or a web application. AI can also enhance the effectiveness of online psychiatrist services by providing data-driven insights for more tailored mental health care.

In addition, personalized services work wonders for the patients and can successfully result in higher patient satisfaction, leading to enhanced diagnosis as well as outcomes.

  • To detect cancer
  • Predict heart transplant rejection rate
  • Lifestyle and health monitoring
  • Drug Discovery
  • Clinical Trials
  • Personalized Treatments

#3 Faster Turnaround Time

Another crucial benefit of considering Artificial intelligence in the healthcare realm is that it ensures faster turnaround time. Yes, in comparison to humans, AI tools tend to analyze the test results much faster and in a much more accurate manner. In addition, AI enables genomic, metabolomic, and bioinformatic data of individuals in much less time. It not only saves costs but also successfully facilitates timely treatment.

#4 Real-time as well as accurate data

Medical issues can arise at any point in time. By incorporating disruptive technologies such as artificial intelligence and machine learning, it is quite possible to conduct real-time as well as accurate data analysis. This surely enables medical professionals to make critical decisions more effectively. Real-time data reduces costs, minimizes waiting times, and offers a greater chance of being able to prevent a condition from worsening.

#5 Enhanced Surgical Procedures

Did you know now it is possible to deliver healthcare robotics that can successfully perform surgeries that are pretty safe and sound? However, this doesn’t mean there are no surgeons involved, in fact, robotic-assisted surgery successfully enables surgeons to achieve higher precision, safety, flexibility, and control in complicated surgical procedures.

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Enhanced Surgical Procedures

Moreover, AI also enables remote surgery which means, it can be performed from anywhere across the globe, especially among the areas where surgeons might not reach on an instant basis. This technology turns out to be wonderful, especially during global pandemics and areas when social distancing is a must. Also with an increase in robot-assisted surgeries; it has been found that

  • Shorter lengths of hospital stay for the patients after the surgery
  • Lower pain scores once the surgery was accomplished
  • Less post-surgery complications such as blood clots, urinary infections, and bladder neck contracture

Are there any disadvantages?

Now who says AI in healthcare doesn’t have any cons or doesn’t have a fair share of controversies? Some of the basic disadvantages of considering AI in healthcare include:

  • Training complexities - Learning AI technologies is never and has never been so easy. To master it well, one must possess all the required skills and expertise to make the most of it effectively. So yes medical professionals require proper training before getting started.
  • Severe unemployment - Robots do lead to unemployment to some extent. Introducing AI means most administrative tasks are made redundant.
  • High-security risks - Cyber attacks keep on evolving at a much faster pace and such severe reliance or should I say over-reliance on technology can lead to higher security risks.

What does the Future Hold? Opportunities for AI in Healthcare

By now I am sure you have understood the fact that artificial intelligence is no longer a buzzword and this turns out to be true for every field and industry vertical including manufacturing, IT, finance, entertainment, healthcare and so more. In one way or the other the concept of artificial intelligence is taking over the world by surprise. At the same time, it doesn’t mean AI technology is a go-getter option but the healthcare market is anticipated to be $187 billion in 2030.

* Unlocking unstructured data

97% of healthcare data remains unused and inaccessible because it is unstructured. Everything is involved here right from extracting data from X-rays, medical records featuring both scanned documents, geometric data and clinical notes, and much more. With the assistance of AI-based technologies, machine learning, and NLP, it is way easier to process all the unstructured data, resulting in more accessibility and usefulness for healthcare professionals across the globe. It may quite interest you to know that [ChatGPT ](/blog/how-is-chat-gpt-useful-for-seo/)tends to use large language models which successfully assist in creating a quick summary of a patient’s chart history and extract meaningful insights from clinical notes, which improves diagnostic accuracy and treatment plans.  

* Seamless data integration and analysis

Another important opportunity AI holds in the field of healthcare is seamless data integration and analysis. You see, AI tends to have a great ability to collect, analyze, and augment data from a wide range of sources featuring EHRs, wearable devices, and genomics. Here you are bound to find a holistic view of health data and medical history. In comparison to earlier, physicians now tend to have a more comprehensive understanding of each patient resulting in the seamless development of more personalized treatment strategies.  

* Operational efficiency

Another great opportunity, artificial intelligence tends to create in the healthcare realm is streamlining all kinds of administrative procedures featuring quick scheduling, billing, and claims processing, this automatically reduces the overall operational costs. Best practices conducted all across the globe have proved that it is possible to leverage the concept of machine learning just to proactively streamline claim processing with the help of numerous automated denial management tools. Also, these tools can successfully assist in evaluating the newest claims, especially the ones that have the potential of creating red flags especially the ones with an increased possibility of denial. 

* Reducing Diagnostic errors

The next unmatched opportunity of AI in the healthcare realm is enhanced diagnostic accuracy. Yes, there was a time when medical errors were quite unaffordable since it has the potential to put someone’s life in danger. With the inception of artificial intelligence the scope of creating costly medical errors is more likely to be reduced. 


Nowadays, it is possible for AI systems to quickly analyze different types of medical images with higher accuracy. So now what happens is radiologists can successfully identify different conditions that may be missed during manual reviews. So overall the patient's outcomes are improvised and any concern or even money associated with misdiagnosis or subsequent treatments can be wiped off totally.   

* Virtual assistants and chatbots

Virtual assistants and chatbots

The next opportunity to grab on or hold on to is virtual assistants and chatbots. Now you must be wondering how virtual assistants and chatbots can enhance patient care. Well, there are times when patients especially non-techies have lame questions (lame in the perception of experts), so these virtual assistants and chatbots powered by AI can assist well in replying the basic questions so that they no longer have to keep visiting their healthcare professional again and again. 


Also, these virtual assistants and chatbots ensure easy 24/7 access to the medical information of the patient, including any surgeries or allergies or appointment scheduling, medication reminders, and more. It is possible for these tools to successfully handle all the routine-based inquiries, freeing up healthcare professionals to focus on more complex tasks and improving the patient experience.


 

* Forecasting patient’s needs

And last but certainly not least one is forecasting patient’s needs pretty much in advance. Yes, by incorporating artificial intelligence within your existing healthcare systems, you can make the most of predictive analysis. This means healthcare organizations now can look after staffing and resources successfully. By analyzing patterns and trends, AI tools can help healthcare providers anticipate demand and allocate resources more effectively, ensuring patients receive timely care. 

Final Words

So that’s all for now! The future of AI especially in the healthcare landscape seems to be extremely bright and rosy. And do you know what is the best part here? Technology continues to evolve now and then. The day will soon come when AI will be successfully moved from pilot projects to enterprise-wide solutions.

In addition, AI will promote sustainability across the organization successfully. As a result, less wastage, enhanced efficiency and you are more likely to trend towards more eco-friendly practices in the healthcare industry. So are you ready to change as patient caregivers, enhance operational efficiency, and come up with more and more cost-effective strategies for your organization?

I hope you did find the following post insightful. In case you have any doubts or queries, feel free to mention them in the comment section below. Also, it would be great if you could share the following post and help us out in reaching more and more audiences or tech-savvy geeks like you.

Felix Rose-Collins

Felix Rose-Collins

Ranktracker's CEO/CMO & Co-founder

Felix Rose-Collins is the Co-founder and CEO/CMO of Ranktracker. With over 15 years of SEO experience, he has single-handedly scaled the Ranktracker site to over 500,000 monthly visits, with 390,000 of these stemming from organic searches each month.

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