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Summary:
A new FTC mandate is intended to crack down on AI abuses. How will it work? Are crucial areas of AI abuse overlooked? Here s my first cut analysis.
On April 19, 2021, in a blog titled, Aiming for truth, fairness, and equity in your company s use of AI, Elisa Jillson of the FTC, in an atypical fashion, put U.S. organizations on notice that the FTC would use its various powers to investigate AI abuses, and presumably take action:
Hold yourself accountable - or be ready for the FTC to do it for you.
Let s first examine the breadth of the FTC s mandate for enforcement:
The U.S. Federal Trade Commission emphasized the importance of using artificial intelligence in an equitable manner in a blog post earlier this month.
As FTC attorney Elisa Jillson noted in the post, so-called neutral technology can produce troubling outcomes, including racial discrimination or the replication of other biases. As your company launches into the new world of artificial intelligence, keep your practices grounded in established FTC consumer protection principles, Jillson advised.
WHY IT MATTERS
AI has the potential to advance innovation in the healthcare industry. But, as Jillson (and others) points out, tools are only as unbiased as the data they re trained on – and too often, that data represents the bias of its creators.
Journal of the American Medical Informatics Association found that less after-hours charting was associated with lower burnout scores.
The study, which relied on survey responses from more than 25,000 physicians, found that satisfaction with organizational EHR support was also significantly associated with lower levels of burnout overall. EHR factors are not solely responsible for after-hours charting, and other efforts besides EHR improvements, such as team documentation and new approaches to care team models for clinical support, may reduce after-hours charting, noted the researchers.
WHY IT MATTERS
Physician burnout is a serious problem in the medical industry, associated with poor clinical care, medical mistakes and caregiver attrition. Researchers estimate its economic impact at $4.6 billion each year.
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Inspired by data warehousing: A new platform integrates disparate information systems
Academic medical centers continuously strive to enhance patient care. One of the major mechanisms to improve patient health outcomes is through translational research – bringing research breakthroughs from the lab to patients via clinical trials. Making clinical trials more efficient, and ultimately more successful, would significantly advance patient care. However, fragmentation of the relevant data necessary to implement improvements to translational science is a significant barrier.
While some bioinformatic tools have attempted to address this problem, they often lacked the ability to assess the efficiency of translational science. Researchers at the South Carolina Clinical & Translational Research (SCTR) Institute, a Clinical and Translational Science Awards (CTSA) hub with an academic home at the Medical University of South Carolina (MUSC), have developed a novel bioinformatic to
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The new Tift Regional Medical Center expansion will open in the fall of 2021 in Tifton, Georgia. The 263,000-square-foot, four-story tower will include a new emergency center, inpatient units and new ICU. (Credit: Tift Regional Medical Center)
Sepsis is the deadliest and most expensive condition treated in hospital critical care units, with septic shock carrying a 34% mortality rate. Early sepsis detection is critical to saving lives and decreasing the cost of care.
THE PROBLEM
In absolute terms, hospital admissions for sepsis outnumber admissions for stroke, acute myocardial infarction and trauma combined, so creating more integrated sepsis and infection-prevention programs is an ever-present challenge.