For decades, healthcare has been transforming. However, with the indulgence of tech advancements, its success ratio has increased and almost doubled regarding patient care and accurate health reports.
Digital technologies have transformed the healthcare sector. The growing adoption of wearables, mHealth, telemedicine, and many other digital solutions have smoothly changed the landscape of a patient’s and a practitioner’s life.
But needless to say, you will agree that getting such healthcare accessibility is a boon for every human being. Over the past five years, people have been enjoying their medical facilities through health apps and solutions. As a result, the global healthcare market is expected to reach $665.37 billion by 2028.
This revenue generation is insane, right!? The prominent factors boosting the growth of the online healthcare industry are:
- Increase in chronic diseases and the growing elderly population.
- The urge to personalized medicines and maintain them through digital health records.
- The novel technological integration with artificial intelligence, machine learning, and more has advanced healthcare with its accuracy and efficiency.
- The analytical reports of a patient through deep learning, NPL, and data analytics is well received by the diagnosis and care service areas of healthcare.
As we remember, the healthcare sector has overgone a tremendous transformation. Right from equipment to now embracing new technologies, we can do it all. The turning point for the professionals came when they were introduced to a new world of AI and ML.
Both these tech advancements got a new leap of faith into the healthcare software world. AI has provided a wide range of assistance to algorithms and tedious tasks that are part of every healthcare worker’s job. It includes streamlining time-consume tasks, real-time analysis reports, simplifying complex tasks, and more.
According to a Morning Consult survey, 23% of US healthcare executives think AI and ML are highly helpful at enhancing clinical results.
Top uses of AI
- Report/ Image Analysis: X-rays, MRI scans, and other structural images are well-assisted by AI providing interpretive results.
- Drug Discovery: AI accelerates clinical research and drug discovery. It extensively helps find the most efficient combination of medicines with complete detection of diseases.
- Brain Diseases: AI-powered medical devices help treat and detect neurological disorders by properly analyzing MRI scans.
- Preventive medication: Healthcare can be personalized with AI-powered predictive analytics. Clinicians can use this information to modify the level of care they offer to stop it from happening.
Let’s look into some more benefits that Artificial Intelligence offers in 2023.
Offerings of AI in the Digital Healthcare world
There is a multitude of benefits when it comes to integrating AI into the healthcare ecosystem. It automates necessary tasks and analyzes big patient data accurately. AI follows up on unpaid bills and maintains a systematic record. The advancement eases the workload of healthcare professionals and ultimately helps save money.
- Real-time Information Access:
With the raging diseases and unmanageable human lifestyles, the healthcare sector has to be at lightning speed in diagnosing the human body. AI helps diagnose results faster and improves patients’ recovery or treatment plans. With the help of mobile apps, professionals receive the information on time, strengthening the patient-doctor relationship. Moreover, such technological advancement helps in real-time patient emergencies and other alarming situations.
- Task Organization:
No one wants to waste their time calling patients and asking to book an appointment with the doctor. People want instant online healthcare services. Right from scheduling doctor’s appointments to tracking patient records, transferring messages for the next appointment, etc., are well managed by AI-running healthcare solutions. It streamlines every task with advanced algorithms and immense analysis.
- Cost-Efficient Advancements:
With AI, the hospital organization or a professional successfully limits human interference to a minimal level. Thus, it cuts down a lot of expenditure and automates tasks for better results.
The determination of medical necessity is another area that needs work. Traditionally, it took hours to evaluate patient data and history to determine medical necessity accurately. However, new deep learning (DL) and natural language processing (NLP) algorithms can help doctors review hospital cases and prevent denials.
Medical practitioners are given more time to assist and interact with patients by freeing up essential productivity hours and resources.
- Primary Care:
With telemedicine app development, the healthcare industry has got new wings to pamper patients. Many organizations are developing voice or chat-based direct-to-patient solutions for triaging patients and offering advice. AI offers easy access to fundamental queries and medical problems. It could provide basic counsel for a subset of illnesses that would otherwise not be available to populations in rural or under-served locations, helping to reduce increased pressure on primary healthcare practitioners. Although the idea is straightforward, these solutions require extensive independent validation to demonstrate patient safety and efficacy.
Th Future Outlook of AI
AI is here to assist with more hybrid models related to diagnosis, treatment planning, risk factors, and more. Reducing such perceived risk will speed up healthcare providers’ adoption and provide measurable gains resulting in operational efficiencies on a larger scale.
On a concluding note!
The need for fresh, creative solutions in healthcare is obvious! Many myriad problems like the aging population and rising rates of the chronic disease need faster & better advancement that provides aid in time. AI-ML-driven software has great accessibility resulting in a potential healthcare future.
But, despite receiving much media attention, AI-powered solutions have only made minor progress in tackling important concerns and have yet to significantly influence the global healthcare sector. Suppose several significant obstacles can be overcome in the upcoming years. In that case, it could play a significant role in how healthcare systems function, enhancing clinical resources and guaranteeing the best possible patient outcomes. Moreover, it does have a wider scope to automate certain things permanently in the healthcare world. The right set of tech brains & an ever-evolving AI idea can bring down many health barriers and lift humanity toward a healthier & happier future.
