5 AI Solutions Transforming Healthcare in 2022 and beyond
The world's life expectancy has increased as a result of various advancements in healthcare facilities. However, as the world's population ages, healthcare systems must contend with a rise in demand for their services, growing costs, and a staff that is under pressure to meet patient needs.
With the growing population of senior citizens and the adverse effects of climate change, there will be a huge rise in health-related issues. It will lead to a higher influx of patients with various needs to several healthcare institutions. To tackle this meteorically rising need and the economy behind it, healthcare systems need to transform their service deliveries from episodic to management-focused long-term care.
But how can healthcare systems achieve it effectively?
This is where healthcare AI solutions come into play. Artificial intelligence (AI) solutions have the potential to handle these challenges and empower the healthcare industry to be future-ready. By introducing new innovative ways of tackling operational challenges, AI solutions are and will be transforming the healthcare industry in 2022 and beyond.
However, before moving on to discuss various AI solutions in healthcare, let's first understand how AI solutions sync with the definition of healthcare systems
What are AI Solutions in Healthcare?
It is quite known that artificial intelligence (AI) is the capacity of computers and other machines to think, learn, and behave very similarly to humans. The employment of cognitive approaches like AI algorithms in medical situations is referred to as artificial intelligence (AI) solutions in healthcare. Very often to predict certain medical outcomes, AI solutions in healthcare are used to build quick response and effective analysis platforms against huge chunks of medical data.
Industry Application of AI Solutions in Healthcare
The healthcare industry is already using AI solutions for better clinical decisions and faster operations. In healthcare and life-science companies, AI solutions offer several advantages over traditional analytical methods. AI solutions can make healthcare systems more precise with the ability to understand training data, which further helps humans get unprecedented insights into treatment variability, care processes, diagnostics, and patient results.
Over the last few years, AI solutions have significantly contributed to the healthcare industry. From providing better service to patients to performing advanced analysis and treatment AI solutions are fueling healthcare institutions to achieve better growth and revenue. Now, let’s take a closer look at 5 healthcare AI solutions that are transforming the healthcare industry as a whole.
1. AI & Machine Learning (ML) Solutions for Medical Imaging & Diagnosis
"Medical imaging" refers to a variety of methods that are used to examine the human body to discover, monitor, or treat several disorders. Leveraging AI solutions, medical imaging and diagnosis can be done with better precision and accuracy. Unlike humans, AI solutions can help in better recognition of intricate patterns of various human body ailments. Few real-world applications of this can be:
- The algorithms at the core of the AI solutions can expedite the process of reading complex images from CT scans or MRIs.
- AI solutions-based Machine Learning (ML) platforms in healthcare are helping to analyze MRI a shorter timeframe right from the symptom onset. It finally helps in detecting many life-threatening diseases at an early stage. For example, a brain MRI analysis with AI solutions based Machine Learning (ML) platforms helps identify tissue changes reflective of early ischemic stroke.
- Doctors can perform better and more accurate disease diagnoses with the help of automated image diagnosis systems.
Using these AI solutions in your healthcare institutions, you can directly boost healthcare expert’s productivity. Additionally, using these AI solutions in healthcare, you can ensure that your highly skilled staff spends time treating more patients rather than evaluating medical pictures.
2. AI Solutions for Next-Gen Patient Screening
AI can be helpful in pre-screening patients long before they arrive at a hospital.
- Instead of sticking to conventional pre-screening questionnaires, healthcare institutions need to enable AI solutions-based speech and text-based interactions. It will lead to faster screening and better management of a higher volume of patients.
- Reinforcing ML with AI solutions will further help to identify novel trends and enhance patient complaint diagnosis. In comparison to a preset or static survey, AI solutions like chat-bots can easily replicate the expertise of a real-world healthcare practitioner.
- Adopting AI solutions-based Natural language processing (NLP) applications allows your potential patient to speak or write to a doctor about their symptoms. The AI agent and patients will quiz one another to mimic a conversation between a doctor and a patient.
- AI solutions can provide virtual health assistance to help advise a patient on how to proceed with their medical care. It includes timely reminders about check-ups, whether to visit the emergency room, schedule a consultation, or take an over-the-counter medication. If the patient needs medical attention, the AI solution can recommend a doctor based on the patient's location, availability, and insurance information.
In cases of health emergencies or growing accessibility issues in urban areas, AI solutions in healthcare can be a revolutionary innovation.
3. Predictive AI Solutions for Preventative Healthcare
Preventative care, as the name itself suggests, is any procedure or method that defends against any probable health issues. Today, the term "preventive care" solely refers to regular medical checks, immunizations, dental cleanings, etc. Leveraging predictive technology of AI solutions can significantly enhance ongoing preventative treatments and boost overall healthcare infrastructure.
- Smart wearables like the Apple Watch, Fitbit, Garmin, etc. work on the basis of AI solutions coupled with sensors. These smart fitness wearables can support preventative care in the healthcare sector.
- Information on heart rate, activity, nutrition, VO2, and sleep is automatically supported by these devices. With add-ons, these devices can now measure blood pressure, blood sugar, and weight as well.
- Preventative healthcare is possible by using the data from these wearables to identify potential health issues even before they occur. This information can be used to build analytical models that will help in making accurate predictions regarding certain illnesses.
- These models are able to gather data from wearable sensors in real-time, alerting users when they have reached a threshold calling for preventative medical care.
The gadget-based healthcare AI solutions help share data with the physician for a detailed medical understanding. Additionally, it can help offer better care by spending less time on the patient's symptoms and background.
4. AI Solutions for Healthcare Data Management
The healthcare industry has to deal with a huge pile of data. This increases the chances of straying imperative data. Big medical data comes with bigger data management challenges. It can take years to process this data, connect significant data points, develop an appropriate diagnosis, or support new medicines’ discovery out of this huge data.
- Data is an asset to every business, and hence, it should be of top priority to preserve it. AI is helping many healthcare organizations to realize important data points from health records’, analyze and then present it for easier examination and maintenance of patient records.
- AI solutions when deployed in healthcare, can lead to easier data processing and bring quick visibility into patterns, which can be very daunting for any individual.
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5. AI Solutions for advanced Healthcare Drug Discovery
COVID-19 has shed light on the creation of vaccines and technologies like AI, ML, or DL have proved to be of greater help in expediting the vaccine discovery process. It has taken a year and more for the world to discover the vaccine. It has only shown that the processes for identifying vaccines and pharmaceuticals are labor-intensive, expensive, time-consuming, and usually unsuccessful.
- Pharmaceutical companies are increasingly using AI tools like DL to develop and test new drugs.
- It needs a lot of data analysis to develop new pharmaceuticals since there are so many possible chemical combinations. AI solutions being exceptionally faster and quicker at handling enormous data volumes can accelerate the entire process.
- AI solutions can help create more medicines that are authorized in less time and at cheaper costs.
AI solutions can help bolster clinical efforts toward faster drug discovery. This will lead to faster market release and subsequent cost & time savings.
Summary
- AI solutions in the healthcare sector can help every healthcare worker to view patient data and other information to provide accurate diagnoses and treatment suggestions.
- AI solutions let healthcare institutions gather huge data sets like clinical trial data, claims data, demographic data, etc. Deploying AI solutions can lead to faster data processing which will probably take years if done through the conventional methodology.
- Using Ai solutions in the healthcare sector can lead to the discovery of necessary data patterns and insights, thus, potential for further scalability.
The above, plus various other benefits of AI solutions, have made it a turning point in the healthcare field. Whether in the form of machine learning that aids in the development of medicine, patient prescreening, in-treatment communications through NLP or AI solutions like imaging analysis, AI solutions are already outgrowing the conventional methods and are bound to grow more in coming years. Explore how our AI solutions are modernizing our clients’ healthcare operations and helping them achieve big in their business. Do you want to know how AI solutions can benefit your healthcare company? Contact us today to learn more.
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