As artificial intelligence (AI) has grown in popularity, we’ve seen it used in numerous applications to help organizations in a range of industries automate processes, make better-informed decisions, and more.
In healthcare specifically, AI has helped providers, payers, and services stay informed so they can improve the quality of care, mitigate risks, and reduce costs. What can we expect from AI in the coming year?
Here are 7 trends 2022 Trends in AI:
1. AI in the workplace
In 2022, we may see more AI-powered technology being used in the workplace. This doesn’t necessarily mean that machines will replace humans, however. Instead, employees can use AI to help make their jobs easier and increase efficiency throughout the workplace.
AI is already used in a variety of ways, including finance professionals using AI to detect fraudulent transactions, marketers using AI to determine which leads to pursue, customer service representatives using AI chatbots to provide 24/7 service, and more. In healthcare, AI tools can help predict and diagnose diseases, determine high-risk patients and members, predict costs, and more.
As AI continues to prove to be valuable, it will increasingly be used in the workplace to help quickly sort through data, reduce human error, and make organizations more efficient.
2. Systems for cleansing and configuring data
It can take data scientists a lot of time to cleanse data to prepare it for machine learning (ML) and AI as well as build models. This takes up valuable time that data scientists could be spending on learning from data, not just preparing it. In 2022, we may see more systems that are designed to clean and structure data to help data scientists work more efficiently.
Lumiata, for example, uses smart cleaning algorithms to remove incorrect, incomplete, duplicate, and improperly formatted data from your data set before it’s used to make predictions.
We also offer our Lightning AI Model Builder, which lets teams build high-performing data models from tens of thousands of auto-generated ML features and allows multiple data scientists to work on the same data on the same platform without lag. We also offer our Spectrum AI Model Catalog, which features more than 100 pre-trained, customizable models to make data science more efficient.
3. Improved natural language processing and language modeling
AI has enabled machines to process and understand human languages, whether that language is spoken or typed. Machines can then respond in the human language and hold a conversation.
Additionally, some machines can translate human language into computer code that can be used to run applications and programs. These technologies may be used more in the year ahead to help organizations communicate with customers, analyze data, and more.
In healthcare specifically, language processing technology can be used to analyze unstructured data from EHR notes. Language processing can also be used to ease the burden of note-taking placed on physicians. AI-powered language tools can be used to capture notes during appointments with patients, allowing physicians to focus more on their patients and less on taking notes.
5. Hyper automation
Hyper automation involves using AI-powered tools to automate repetitive tasks and processes. It can help organizations save time, reduce costs, and improve accuracy, making it likely to be more widely used in 2022. Hyper automation can be used for clinical documentation, ordering supplies, notifying patients, claims to process, and more. It can also be used via chatbots or virtual assistants that can answer patients’ frequently asked questions or assist with scheduling appointments.
6. AI and IoT
The Internet of Things (IoT) is a network of devices that can connect to the internet to exchange data. Devices can collect data regarding temperature, air quality, speech, and much more. Adding AI to IoT devices allows users to gain valuable insights from the collected data, making it appealing for 2022.
One example of products that use AI and IoT devices include smart home products that learn from residents’ habits to anticipate needs in lighting, temperature, speaker sound, and more. In healthcare, products include wearables like health and fitness trackers.
The data gathered from these devices can be sent to physicians to keep them informed of patients’ health, and AI can identify patterns and anomalies in the data to alert patients and physicians to health risks.
7. AI for business development
AI can be used to analyze trends and forecast business needs, making it a valuable tool for the upcoming year. Having the ability to “predict the future” can help organizations plan accordingly in areas like staffing, resource allocation, budgeting, and more. Lumiata, for example, uses AI to predict increases in the demand for care, allowing health care providers to plan for future volume surges.
How to get started with AI in 2022
There are many exciting applications for AI in 2022, especially in healthcare. Are you curious about bringing AI into your organization?
Lumiata is here to help!
We have AI products to help health care providers, payers, and services predict the future of claims, claimants, and care. Our suite of financial models is up to 80% more accurate than the nearest competitors’ cost prediction models, and our suite of clinical models is up to 65% more accurate than the leading carrier. Ready to learn more?