Artificial intelligence has opened a new era of transformation, extending its reach to the healthcare revenue cycle. Rev cycle workers and subject matter experts are pivotal in steering the technology, enhancing its efficiency, and ensuring the quality of its outcomes.
The buzz surrounding artificial intelligence is deafening. Higher productivity, greater efficiency, better decision-making, and improving life for everyone are part of every business conversation that includes AI. Talk of workers losing jobs to machines is equally plentiful.
Since its debut in the workplace, technology has rendered jobs obsolete. However, it’s also been a source of job creation, as disrupted industries rely on subject matter experts and experienced workers to guide technology’s transformation. New job descriptions emerge as technology’s evolution continues at a rapid pace.
The arrival of AI does not imply that employment will become obsolete but rather that it will need to be re-engineered.1 AI will help workers go faster and farther, work more efficiently, and accomplish more.
There are ample opportunities to make a difference for those ready to embrace the challenge. They will be part of the decision-making process for technology investments and take charge of the lifecycle and maintenance of new tools and methods. Adaptability to technological changes is the key to success in this evolving landscape.
AI elevates the revenue cycle worker by flipping the script and giving them a new perspective on their role.
- From mundane to mission-critical
AI relieves workers of time spent on rote work, allowing them to focus on strategic impact and bottom-line contribution. They will also better understand the value they bring to the organization and be more engaged with the mission. - From opacity to transparency
AI brings data to the fore, giving visibility into the inner workings of a process or workflow. The more you see, the more you understand. The more you know, the more readily and intuitively you can respond to situations. - From uncertain to predictable
One of AI’s most significant benefits for the revenue cycle is understanding how to prioritize work to maximize revenue. When workers know they are focused on the highest priority task with the greatest likelihood of success, they experience a new level of productivity and engagement.
Reframing AI as an opportunity for growth rather than a threat to livelihood is essential if workers are to embrace change and engage in the process. Each organization will determine how and when technology changes its operational models and workers’ opportunities to level up.
Responsiveness, quality, and efficiency are the superpowers of the new breed of revenue cycle worker. Their knowledge, gained after years of navigating the complex web of payors and providers, is the foundation of a fantastic new opportunity to contribute to the future of work for themselves and others.
Janus revenue cycle AI and automation solutions elevate and engage workers. Let’s talk.
Read the rest of our AI blog series:
- Article 1: Demystifying AI terminology
- Article 2: Why the revenue cycle is the ideal proving ground for AI in healthcare
- Article 3: The right AI solutions will extend the value of your EHR
1 Khan, Bangul et al. “Drawbacks of Artificial Intelligence and Their Potential Solutions in the Healthcare Sector.” Biomedical materials & devices (New York, N.Y.), 1-8. 8 Feb. 2023, doi:10.1007/s44174-023-00063-2 full text