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How AI Will Shape The Healthcare Industry in 2022

By Team Altus
Published Mar 13, 2020 | Updated Jan 07, 2022 | 8 min read

The rise and complexity of data in healthcare mean the field will increase artificial intelligence (AI) and continue to innovate. As consumer and patient trust grows, the faster AI will develop. And the more AI is pushed, the more reliable it will become. Because of the growth, AI will continue to shape the healthcare industry in 2022 and beyond.

Some people are more comfortable with AI. Some may worry and be reluctant to replace humans with a computer. Many steps and regulations have not been taken or made before we reach the point of trusting and fully implementing AI diagnoses and treatments.

How AI is Changing Healthcare

Even though we are still in the early stages of AI, and the possibilities seem endless, many healthcare organizations have already begun using AI in their workflow. AI helps with accurate diagnoses, treatment recommendations, preventing the spread of disease, patient engagement, and more. In addition, AI facilitates decision-making and improves diagnoses and processes. Decisions are made based on the data AI acquires, collects, and organizes.

Below is a guide on how AI will share the healthcare industry in 2022 and beyond. AI and machine learning are sometimes used interchangeably. Here is the difference:

AI vs. Machine Learning

Artificial Intelligence (AI) is "A machine's ability to keep improving its performance without humans having to explain exactly how to accomplish all the tasks it is given." - Harvard Business Review.

Machine Learning, "An application of artificial intelligence, focusing on the idea that humans can provide machines access to data and let them learn for themselves." - Forbes.

Both AI and machine learning impact society and the healthcare industry specifically in tangible ways. Now and in the near future, machines will have a more significant impact on healthcare.

Medical data will double every 73 days.

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 new data reveals information that was previously not possible.

Because of AI's success, 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.

There are great benefits and opportunities. Healthcare professionals can use the power of AI to deliver better care and outcomes for their patients. Below is a complete list of how AI will share the healthcare industry in 2022. AI and machine learning are playing a significant role in:

Improving Patient Experience Through AI

  1. Diagnosis
  2. Patient Scheduling
  3. Nurse Scheduling
  4. Natural Language Processing in EMR
  5. Patient Satisfaction Analysis
  6. Medication Safety
  7. Financial

Because of AI, no one is patient zero. Collective health data from around the world can give powerful insight into managing one's health. In 2022 and beyond, we can analyze a patient's data faster and better. Therefore, lowering costs and improving access to the quality of care.

AI can diagnose and prioritize 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 chatbots and virtual health assistants are changing the industry. Chatbots can perform many roles such as customer service, therapists, and diagnostic tools. The chatbot market will reach $314.3 million by 2023 from $122 million in 2018.

Nursing schedules can become hectic, and an overworked nurse may not provide the best patient experience. AI can optimize programs.

Smart wearables such as watches and smartphones are helping patients monitor their health while collecting their data. These wearables can be used for automated reminders and deliver personalized dosage recommendations. They can also prevent patients' emergencies before they even occur. As a result, predictive analytics and health trackers are becoming more of a focus point for hospitals.

AI can improve medication administration and safety. For example, a robotic pharmacy provides extreme medication administration accuracy and improves patient safety.

With advanced technology and research, people today live longer than in previous generations. Unfortunately, many end-of-life patients have dementia, heart failure, or osteoporosis for years before their death resulting in a poor quality of life and dependency on others. With AI, the healthcare industry is hopeful to provide better end-of-life care to patients and beyond. AI can help people live independently longer and help themselves avoid loneliness.

AI Provides Right Treatment at the Right Time

According to the Precision Medicine Initiative, precision medicine is "an emerging approach for disease treatment and prevention that takes into account individual variability in genes, environment, and lifestyle for each person." This approach tailors healthcare to the specific needs of individual patients based on variability in genes, environment, and lifestyle. With this information, doctors and researchers can predict more accurately which prevention and treatment strategies will work best for diseases and groups of people.

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. AI's pattern recognition tools provide patients with access to personalized treatments tailored to their genetic makeup and lifestyle.

This 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. Still, in reality, it frees clinicians from repetitive, administrative work, letting them spend more quality time with their patients. Assistance in automation increases clinician productivity.

AI is supporting frontline healthcare, including medical imaging and hospital treatments. As a result, there is a decrease in medical errors and patient profiles. In addition, AI recognizes nature language to efficiently decipher electronic healthcare records quickly, making information clearer to patients, providers, and administrators.

Even in the beginning stages of AI, clinicians still spend hours on administrative tasks. In 2022 and beyond, the hope is to optimize clinical operations and workflows for maximum productivity.

AI helps radiologists spot details that escape the human eye in medical imaging diagnostics. This, too, will reduce errors and catch early diagnoses. AI will continue to boost decision-making.

Innovations like telehealth are quickly replacing in-person visits. Webcams are placed on clinician medical workstations, and patients can access their clinicians from home on their computers. This saves us time and money and prevents the spread of disease.

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.

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.

AI is forecasted to bring in $150 billion in annual savings by 2026 in the United States. To ignite these savings, the number of active AI startups has increased 14-fold since 2000.

There are drawbacks to these early stages of implementing AI. One challenge is ensuring the data sources informing AI are accurate and large enough to develop correct outputs. Healthcare leaders need to come together and ask the right questions, dig deeper, utilize product evaluations and create a budget before adopting AI into their strategies.

AI in the healthcare industry will continue to improve costs, service quality, and accessibility.

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.

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