HOW ARTIFICIAL INTELLIGENCE (AI) IS CHANGING HEALTHCARE?
Artificial Intelligence(AI) is changing the healthcare industry by improving diagnosis, treatment strategies, clinical research, clinical trials, and population health management.
What is Artificial Intelligence (AI)?
The simulation of human intelligence processes by machines, particularly computer systems, is known as artificial intelligence. Expert systems, natural language processing, speech recognition, and machine vision are examples of AI applications.
Machines can learn from experience, adjust to new inputs, and perform human-like tasks thanks to artificial intelligence (AI). Deep learning and natural language processing are heavily used in most AI examples today, from chess-playing computers to self-driving cars.
History of Artificial Intelligence:
Although the term “artificial intelligence” was coined in 1956, it has grown in popularity in recent years due to increased data volumes, advanced algorithms, and advances in computing power and storage.
In the 1950s, early AI research focused on problem solving and symbolic methods. The US Department of Defense became interested in this type of work in the 1960s and began training computers to mimic basic human reasoning. In the 1970s, for example, the Defense Advanced Research Projects Agency (DARPA) completed street mapping projects. And, long before Siri, Alexa, or Cortana became household names, DARPA developed intelligent personal assistants in 2003.
Future of Artificial Intelligence(AI) in Healthcare
Artificial Intelligence(AI) can add value by automating or augmenting clinicians’ and staff’s work. Many repetitive tasks will be fully automated, and we will be able to use AI to help health professionals perform better at their jobs and improve patient outcomes.
AI’s Emerging Applications in Healthcare:
Across industries, artificial intelligence (AI) is changing how we interact, consume information, and obtain goods and services. AI is already altering the patient experience, the way clinicians practise medicine, and the way the pharmaceutical industry operates in health care. The journey has only recently begun.
There are three types of AI applications in health care:
As AI permeates everything from our smartphones to the supply chain, applications in health care can be divided into three broad categories:
- Artificial Intelligence(AI) that prioritizes patients.
- Artificial Intelligence(AI) oriented toward clinicians.
- Artificial Intelligence(AI) for administrative and operational purposes.
The future of AI in health care may include tasks ranging from simple to complex, such as answering the phone, reviewing medical records, population health trending and analytics, designing therapeutic drugs and devices, reading radiology images, making clinical diagnoses and treatment plans, and even conversing with patients.
The future of artificial intelligence in healthcare includes the following:
- An overview of artificial intelligence (AI), natural language processing (NLP), and machine learning in the context of health care (ML).
- Current and future health-care applications, as well as their implications for patients, clinicians, and the pharmaceutical industry.
- A look at how the future of AI in health care may unfold as these technologies impact medical and health care practice over the next decade.
Ways of impacting/Changing healthcare industry
AI has the potential to improve care outcomes as well as the productivity and efficiency of care delivery. It can also improve healthcare practitioners’ daily lives by allowing them to spend more time caring for patients, raising staff morale and improving retention.
Ways of Artificial Intelligence changing healthcare industry:
Algorithms are specifically designed to extract data from a variety of sources; in this case, AI will be able to leverage data from health records, wearables, genetic tests, and socioeconomic factors to establish a comprehensive view of a person’s health.
Now, integrated medical technologies are changing the way hospitals, healthcare centres, and caregivers communicate with one another and with their patients.
- Electronic medical records.
- Workflows have been improved.
- The Internet of Things in Medicine (IOT).
- Artificial Intelligence(AI).
- Remote monitoring is possible.
- Convenience.
Ways of Artificial Intelligence Impacting healthcare Industry:-
- Reducing the burden of Electronic Health Record use:
EHRs have been critical in the healthcare industry’s digitalization journey, but the transition has brought with it a slew of issues such as cognitive overload, endless documentation, and user burnout.
- Limiting the dangers of antibiotic resistance:
Antibiotic resistance is a growing threat to populations worldwide, as overuse of these critical drugs promotes the evolution of superbugs that are no longer treatable. Multidrug resistant organisms can wreak havoc in hospitals and claim thousands of lives each year.
- Giving medical devices and machines intelligence:
Smart devices are critical in the medical environment for monitoring patients in the ICU and elsewhere. Using artificial intelligence to improve the ability to detect deterioration, detect sepsis, or detect the onset of complications can significantly improve outcomes and potentially reduce costs associated with hospital-acquired condition penalties.
- Using smartphone selfies to create effective diagnostic tools:
The quality of cell phone cameras improves year after year, and they can now produce images suitable for analysis by artificial intelligence algorithms. Dermatology and ophthalmology are among the first to benefit from this trend.
- Artificial intelligence at the bedside is transforming clinical decision-making:
As the healthcare industry transitions away from fee-for-service, it is also moving away from reactive care. Every provider’s goal is to stay ahead of chronic diseases, expensive acute events, and sudden deterioration, and reimbursement structures are finally allowing them to develop the processes that will enable proactive, predictive interventions.
Much of the foundation for this evolution will be provided by artificial intelligence, which will power predictive analytics and clinical decision support tools that will alert providers to problems long before they would otherwise recognize the need to act.
