Content and Resources for the Risk Management Industry
When it comes to risk management, handling extensive amounts of data is a standard part of the process. With advancements in artificial intelligence (AI) and machine learning (ML), the risk managers responsible for these duties get a real boost when it comes to accuracy, efficiency, and more. Simple computer systems and their human counterparts struggle to keep up with the ever-increasing technological demands. Cognitive computing, which includes AI and ML, are changing the risk management industry for the better.
Every year, the healthcare industry loses millions of dollars to malpractice claims, injury claims, worker compensation claims, among other things. This is why the value of healthcare risk managers in minimizing medical errors, and other adverse events, can never be understated.
As communication technology advances and most interactions and record-keeping practices go digital, telemedicine services have increased in popularity. While this innovative approach to healthcare has provided a lot of benefits for patients and professionals alike, it also involves many hidden risks that risk managers and policy management teams must find solutions for.
When it comes to exposure data management, risk managers should focus on automation, more powerful data collection, and organization and efficiency when it comes to displaying that data and submitting it to brokers or other third parties.