Practice Management Alert

Then keep this ready-made glossary handy if you think you may need to refer back.

1, G: Utilizing Robotic Process Automation (RPA) allows workers to pass on repetitive, simple, and sometimes annoying work to bots, allowing healthcare workers to focus on patients.

2, B: According to the National Institute of Standards and Technology (NIST), data mining is an “analytical process [that] attempts to find correlations or patterns in large data sets for the purpose of data or knowledge discovery.” In healthcare, this might mean connecting the dots in clinical trials to discover a treatment or cure for a disease

3, D: Machine Learning may be the most important part of the AI puzzle because machine learning happens when algorithms are introduced and then the machine — without any further programming or information — learns from the patterns and predicts future outcomes. For providers, machine learning could be used to predict future illnesses and treatments based on a patient’s past experiences and history.

4, C: The Internet of Medical Things (IoMT) relates specifically to the array of medical devices and applications in healthcare and their connection to the internet and to each other. For example, when a heart monitor collects stats on a patient and sends it electronically to the doctor, that would be an example of the utilization of both IoMT technology and AI.

5, F: Real-Time Health Systems (RTHS) is the culmination and coordination of computer applications, devices, and electronic health records (EHR) technology to offer healthcare advice — in real time. RTHS uses AI to quickly assess problems, provide solutions, and revolutionize the industry.

6, A: Simply put, an algorithm is a set of rules or instructions that are the foundation for AI. Machines follow these mathematical sequences, build on them, and learn from them. 

7, E: Natural Language Processing (NLP) assists machines to understand human language. When a physician dictates notes and the device uses voice recognition to document the service and offer solutions, that is an example of NLP.