How is AI Used in Healthcare?
10 months ago
Artificial intelligence is playing a substantial role in the diagnosis, monitoring, and clinical outcomes of medical concerns.
So, let's jump right into AI in healthcare.
Explore the top real-world examples of how AI used in healthcare
1. Clinical decision making support:
AI indicates the earlier clinical outcomes, next-stage treatment guidance, and potential threats to healthcare professionals with the help of large-scale biomedical data.
Moreover, NLP (Natural Language Processing) automatically translates and inputs the clinical notes into the EHR.
How AI and machine learning are transforming clinical decision support https://t.co/uHttRLn8Z9 #HealthData— Healthcare IT News (@HealthITNews) February 21, 2020
2. Medical imaging analysis:
In a clinical study, radiologists or cardiologists have to go through multiple patient medical imaging data.
Furthermore, they need to explore the EHR data at the point of care to diagnose the patient more effectively.
However, the entire procedure is time-consuming and complex, with a high possibility of human error.
But AI in healthcare makes this entire process streamline and rapid with zero chance of error. In addition, it compares the data with exciting records so that radiologists or cardiologists can provide more accurate treatment.
3. Administrative and clinical workflows:
What’s more important in healthcare is a patient-centric approach.
However, due to administrative burdens and repetitive clinical workflows, many healthcare organizations and practitioners are unable to do this.
For instance, they spend almost 80% of their time doing the same repetitive task.
But with AI, there is no need to focus on the time-consuming workflows which make the healthcare system more efficient and effective.
Automatic data entry into EHR, medical imaging analysis, prescription refill, and voice assistance are a few examples of AI in healthcare administrative and clinical workflow management.
4. Virtual assistant for medical staff:
As per a recent survey, “Virtual nursing assistants could save the healthcare industry $20 billion annually”.
But how? Well, it lowers unnecessary patient visits which reduce the work burden of the healthcare system.
Moreover, patients are preferring more AI-based virtual assistance as it gives,
- Quick and comprehensive answers for any query regarding medication, health conditions, and much more
- 24/7 access and support
- Real-time notification for medication
- Streamline virtual communication between the patient and care providers
- Remote patient monitoring
- Voice assistant for wellness management
5. Supports in clinical assessment:
Clinical assessment is the most significant element of the healthcare ecosystem as understanding the patient's medical condition and creating an ideal diagnosis plan is still a vital task.
But AI algorithms are addressing this primary clinical assessment concern of the healthcare industry.
It gathers and identifies the patient's health records such as medical imaging, prescription records, lab tests, living habits, and much more data with a deep learning algorithm to create an effective clinical assessment plan.
Everyone is unique - even their bone structure. Here at SwRI, we've developed AI that predicts high-resolution microarchitecture from clinical CT. This enables fracture risk prediction and high fidelity Digital Twins.#biomechanics #digitaltwin #AI pic.twitter.com/MESr8VKxoR— Lance Frazer (@lancelfrazer) April 29, 2022
6. Effective procedure for drug development:
Clinical trials take thousands of human hours and billions of dollars for drug discovery.
But, in comparison to human efforts and money, the present drug discovery approach's success rate is insufficient.
For that reason, pharmaceutical and drug development companies are adopting AI-based clinical trial approaches to improve the drug discovery success rate.
In addition to this, it reduces the research time, human efforts, and overall drug development costs.
And as per the reports, “AI has the potential to provide over US$70 billion in savings for the drug discovery process by 2028”.
AI in drug development - towards fully autonomous drug discovery @ImmunoPrecise @BioStrandBV $IPA https://t.co/jeJvo7N4CU— Unai Arregui (@Arregius) March 30, 2022
7. Early-stage detection with AI:
For several health-related diseases, healthcare professionals can’t avoid the delay in medical solutions.
Because in healthcare, delay sometimes results in life-threatening conditions.
But AI is addressing those life-threatening healthcare concerns with its effective algorithms.
AI-powered healthcare solutions enable medical professionals to determine the early-stage vital signs of several medical conditions.
For instance, medical professionals are using AI-based tools for identifying the early-stage symptoms of various cancer diseases.
8. Personalized treatment plans using AI in healthcare:
Quality care experience is the only thing that counts in the healthcare industry.
To improve that, creating a personalized plan as per the patient's health records is necessary.
With the large scale of the data, AI enables the care team to create a personalized treatment plan for the patient with hassle-free data collection and sharing procedures.
9. Robot-assisted surgery:
As per the Grand View Research, “The global surgical robots market size was valued at USD 3.6 billion in 2021 and is expected to reach USD 18.2 billion by 2030”.
The surgical performance and its outcome are based on the skill and experience of the healthcare professionals.
In other words, there is a variation in the treatment outcomes as per the surgery complexity and medical experts' skillset.
To improve the efficiency of surgical performance and avoid treatment variation, healthcare organizations are massively adopting AI-controlled robotic-assisted surgery.
10. For analyzing the unstructured data:
For a patient-centric approach, care providers must focus on the patient's medical records.
However, in many cases, healthcare professionals frequently struggle with unstructured patients' clinical data at the point of care.
As a result, AI is used in healthcare to standardize clinical data.
AI makes the data collection and management process streamline which enables healthcare professionals to easily understand the patient's medical data.
#AI in the #clinical studies and #healthcare services, they fall into two major categories:— Fisheyebox (@Fisheyebox) June 6, 2020
- Analysis of structured data
- Analysis of unstructured data#healthtech #bigdata #analytics #datascience #iot #python #privacy #ml #ArtificialIntelligence #Robotics #CloudComputing pic.twitter.com/IG8mlRLgf3
How can AI in healthcare be beneficial for you?
As per the Globe News Wire, “The total Global Artificial Intelligence in Healthcare Market is estimated to reach USD 95.65 Billion by 2028, up from USD 6.60 Billion in 2021”.
Despite the digital revolution, still, there is an imbalance between patient and workforce management.
Using AI, healthcare institutions, startups, and enterprises can efficiently offer cutting-edge healthcare solutions to patients.
Benefits of #AI in #healthcare— Arindam Banerji, PhD (@BigBetAnalytics) April 17, 2021
Save $30B/yr in #USA simply thru #MachineLearning
+ #PatientEngagement #InsuranceClaims#PatientExperience & at risk patient prediction #Healthtech #surgery #deeplearning #ArtificialIntelligence #telehealth @Mckinsey pic.twitter.com/NSBEYHmAYi
Moreover, the right implementation of AI can help you understand the patient's needs without any complexity.
To accomplish that, you must need industry experts who understand every ins and outs of AI in healthcare.
So, are you planning to implement AI in your healthcare profession? Know how we can help you in the same.
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We supercharge healthcare institutions, enterprises, and startups' vision with our healthcare-specific understanding and 7+ years of hands-on experience.
Our aim is to simplify healthcare approaches with our AI-driven healthcare IT solutions.
What makes us different from the rest is our passion and dedication to healthcare IT.
We have a team of healthcare-specific IT professionals who know how to create solid healthcare IT solutions as per the business needs.
It includes – app developers, UI/UX designers, compliance specialists, QA engineers, AI/ML specialists, and business analysts.
We aren’t claiming to be the best IT company, but we can surely say that when it comes to healthcare IT, we’re the best in the league.
Because we deliver a clinical value along with our healthcare IT solutions!