Health data limits, medical exam cost comparisons, and ACR
This week’s articles include: lack of access to health data could limit potential of machine learning; radiologists can simplify reports to improve readability; an app equips patients to review prices for more than 300 imaging procedures; ACR forms interdisciplinary organization to guide implementation of AI tools in radiology; and more women join ACR leadership but rates still lag.
Could ‘Google Brain’ create technology to aid radiologists? – Radiology Business
Targeted training for radiologists to simplify report readability helps patients better understand radiology reports, according to a study. Radiologists took a one-hour workshop that emphasized writing with simple structure and brevity, using simpler words, phrases and sentence structures. A survey completed by the participants after the workshop showed that all participants believed they could change their writing styles, with 71 percent indicating their communication could be optimized for more effective communication.
Lack of access to health data could limit potential of machine learning – Health Data Management
As machine learning technology continues to advance at a rapid pace, providers are excited by the potential of this type of artificial intelligence to predict which patients are most at risk for clinical events that require early intervention. However, these medical breakthroughs are being hampered by the lack of health data necessary to learn the complex patterns required to positively affect patient care.
HealthCost.com and the HealthCost app have made shopping and comparing the prices of healthcare procedures and office visits similar to shopping online for an airline ticket. The open-market network has added imaging procedures to its list of searchable data. With 34 imaging categories, which include more than 300 procedures such as breast imaging, cardiac ultrasounds, and MRIs now available, HealthCost provides patients with the capability to comparison shop prior to scheduling an exam.
ACR takes leading role with creation of AI institute – Radiology Business
The ACR announced the formation of the Data Science Institute, an interdisciplinary organization designed to guide the implementation of artificial intelligence tools in radiology. The institute will define appropriate use cases, set standards for interoperability, validate algorithms and serve as a hub of discussion for important legal and ethical issues that surround AI in medicine.
More women join ACR leadership, but rates still lag – Auntminnie
Over the past 15 years, the number of women holding leadership positions in the ACR has significantly increased at the state level and in terms of fellowship recognition. But at the national level, the rate of female participation in leadership roles within the ACR’s organization continues to lag.
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