Artificial Intelligence Solutions for Rising Medical Debt in America
As healthcare cuts and reforms increase the debt burden in the US, hospitals and collection agencies are turning to artificial intelligence in coding and payment processes.
As medical debts are projected to grow due to healthcare spending cuts and new reforms in the US, hospitals and debt collection agencies are preparing to heavily use artificial intelligence tools to manage the processes.
Expected Increase in Medical Debt
New healthcare cuts and reforms enacted in the United States point to a further increase in medical debt in the upcoming period. According to studies, a significant portion of the adult population already states that they have medical debt.
Use of Artificial Intelligence in Debt Collection
Hospitals and collection agencies are increasingly deploying artificial intelligence technologies in operations such as coding, billing, and debt collection. While financial analysts welcome these developments, criticisms regarding the system's operation are also being voiced.
Rise in the Number of Uninsured Individuals
Federal spending cuts and expiring subsidies are contributing to the increase in uninsured individuals and uncompensated care services. This situation stands out among the primary factors deepening financial pressures in the healthcare sector.
Technological Solutions and Audit Processes
Companies like Cedar use machine learning models to predict patients' payment tendencies, while AI-powered chatbots manage billing communications. On the other hand, AI-driven coding and increased billing practices are being closely monitored by various institutions.