Aiko Nakata, Ph.D
Healthcare management; data processing.
Artificial Intelligence in healthcare will become common place within non-clinical job functions. There are numerous advances already underway in the clinical care setting such as treatment plans individualized down to the genomic sequence of a patient, ability to develop oncology treatment plans in record time and virtual primary and urgent care based on image recognition.
Patients will also reap the benefits of AI outside of acute care including urgent care kiosks, medication management, and wellness and lifestyle coaching. Drug companies are also using AI to dramatically cut the drug discovery life cycle. Years of identifying drug to disease process links will be left to algorithms.
There will also be considerable gains and opportunities on the administrative and support staff side. The main features of AI include learning problem-solving and decision-making skills, mining through extraordinarily large amounts of data, and recognizing patterns and making decisions based on those patterns.
Our system offers:
· Coding – Our AI can not only learn how to code but also be able to identify patterns in laboratory values and physician patterns in the procedures they perform while taking into account federal and state coding guidelines. Alternatively, AI could potentially serve as an educational tool, mining data from coders, and quickly identifying errors and patterns for on-the-spot educational opportunities.
· Clinical Documentation and Queries – our AI can support clinical documentation functions such as detecting patterns in physician documentation habits and proactively reaching out to providers for clarification. Furthermore, AI can sift through coding and documentation guidelines and the pertinent patient data to suggest the most appropriate answers for the physician.
· Staffing ratios – our AI can mine admissions data, reasons for ER/clinic visits and other data that can inform both clinical and non-clinical department leaders on how to staff their departments. HIM departments will utilize the information to monitor its need for contractors and clinical leaders will determine the best mix of mid-level providers to physicians.
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