After the enactment of the Affordable Care Act, insurers had to cut down on the ‘cherry-picking’ of members and not provide insurance to just low-risk individuals. To some extent, the scope for earning high-profit margins had decreased for health insurance companies. This rule created an imperative for them to look for ways to curb expenses in other ways.
We see the most promising applications in healthcare when real-time decision making using simple data sets can relieve the burden on the caregiver and drive better outcomes for patients. For example, alarm fatigue in hospitals — both clinically and operationally — is a cause of lost productivity and decreased patient safety. AI technology can be applied to a smart pump to only sound an alarm when there is a critical need for intervention and to initiate an escalation process if there is no response.
Guest Column |
By Kayla Matthews, Productivity Bytes
Technology has changed the way industry professionals approach the idea of healthcare. While many of these innovations are positive — facilitating patient care and ensuring traditional treatments are more effective — they also present some unique challenges. Why? Because this technology is something the industry has never seen before.