How AI Will Shape the Healthcare Industry in 2022
By Team Altus
Published Mar 13, 2020
| Updated Jun 28, 2022
| 5 min read
The rise and complexity of data in the healthcare field means the field will increase in the usage of artificial intelligence (AI). As consumer and patient trust grows, the faster AI will develop, and the more AI is pushed, the more reliable it will become.
With the growth AI is experiencing and will continue to experience in years to come, it will shape healthcare and change the way patients receive care.
How AI is changing healthcare
Even though we are still in the early stages of AI implementation in healthcare, the possibilities are endless. Many healthcare organizations have already begun using AI in their workflows.
AI can help with giving patients accurate diagnoses, treatment recommendations, and improve patient engagement. It can also help with contact tracing to prevent disease, and offer more information when looking to improve processes and decision-making, such as diagnosing conditions. The improvements are made by using the data AI gathers. Physicians and hospital leaders can look at everything AI has acquired and make updates as needed.
AI helps understand medical data
Due to the increased use of technology, and the major advancements healthcare has experienced in recent years, medical knowledge will soon double every 73 days. This amount of data is too much for any healthcare facility to sort through.
AI has been implemented in many hospitals to help with this process. According to Forbes, "AI can assist with many clinical problems as long as governing and regulatory bodies can determine how to regulate the use of algorithms in healthcare." This means as long as there is someone there to check that the algorithms are working correctly, the AI system can track all of the new data.
After seeing how useful AI has been for hospitals, there is an urgency to increase the rest of the AI adoption in all facets of the healthcare system. According to Tractica, the healthcare AI-powered tools market will exceed $34 billion worldwide by 2025.
Improving Patient Experience Through AI
In addition to helping sift through massive amounts of data, AI and machine learning are playing a significant role in:
Natural Language Processing in EMR
Patient Satisfaction Analysis
Collective health data from around the world can give powerful insight into managing one's health. AI can diagnose and prioritize accordingly the various complex and acute cases. As a result, AI reduces and mitigates the risk of preventable medical scenarios and avoids unnecessary interventions such as surgery. AI can also improve medication administration and safety. For example, a robotic pharmacy provides extreme medication administration accuracy and improves patient safety.
When it comes to patient and nurse scheduling, there are optimized programs and chatbots to help streamline the process. AI chatbots can act as customer service while also scheduling patients for the best time that works for them. While nurses can use AI programs to schedule their shifts ensures they will not be overworked, and experience burnout.
AI Provides Right Treatment at the Right Time
AI and machine learning can go through terabytes of genetic data and process and understand faster than humans. This data comes from all over the world. When information is presented from machine learning, clinicians can treat patients individually and understand outcomes through a cause-and-effect model.
For example, cancer patients received cookie-cutter treatments that resulted in high failure rates. Using AI's pattern recognition tools, hospitals can provide patients with access to personalized treatments tailored to their genetic makeup and lifestyle.
The use of AI’s pattern recognition tools will impact the pharmaceutical industry as well. Top pharmaceutical and biotechnology companies use algorithms to shorten the drug development cycle. It's been found that AI can generate cost savings up to 60% and shorten timelines by four years against the industry average.
Transforming Delivery of Care Through AI
As hospitals continue to incorporate AI and machine learning, they are transforming care delivery. Operations are becoming automated, such as patient admittance and discharge, staff scheduling, financial collections, and other administrative tasks. This may seem like it takes the human interaction out of the equation, but it frees clinicians from repetitive, administrative work, allowing them to spend more time with their patients.
These same AI programs are improving processes for medical imaging and overall hospital treatments. AI helps radiologists spot details that escape the human eye in medical imaging diagnostics. This allows hospital workers to reduce errors and catch early diagnosis.
AI in 2022 and Beyond
AI is in its infancy when it comes to healthcare. It's essential for healthcare organizations to keep on top of the everchanging technological advancements, as they will likely see the benefits more quickly and keep up with other leading healthcare organizations. AI is forecasted to bring in $150 billion in annual savings by 2026 in the United States.
For companies to successfully implement AI in their facilities, there is a need for clear guidance. Legal, ethical and regulatory issues are associated with AI collecting and using patient data, with patient privacy being at the highest tier. While AI-powered solutions are developed, staying within these high standards is essential.
It is evident AI can easily surpass other leading technologies used in the healthcare industry, so it's essential for healthcare leaders to invest time now into how your healthcare organization can best utilize AI tools come 2022 and beyond. AI in the healthcare industry will continue to improve costs, service quality, and accessibility. Contact Altus to learn how our computer workstations can pair with AI to offer streamlined workflows and improved patient experience.