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Quality and Safety

By Andrea Fox | 11:42 am | September 22, 2022
More than 100 administrative and clinical team members will receive VR-based leadership training.  
By Andrea Fox | 07:26 pm | September 21, 2022
The information offers guidance on actions hospitals can take to strengthen and sustain the healthcare workforce today and over the near future and long term.
By Andrea Fox | 11:19 am | September 21, 2022
A new Arch Collaborative report explains EHR satisfaction gaps by specialty and features insights from physicians at organizations with highly-satisfied specialties.
By Bill Siwicki | 12:45 pm | September 20, 2022
Direct-to-consumer telemedicine services offer many benefits, but prospective patients must take care. An expert from academia explains what to look for – and what to look out for.
By Andrea Fox | 11:14 am | September 20, 2022
The online educational events taking place during Telehealth Awareness Week explore strategies and tactics that improve access to quality telemedicine services.
By HIMSS TV | 07:00 am | September 20, 2022
Representatives from FDB, Elsevier and other vendors showcase some new products aimed at clinicians.
By Andrea Fox | 11:10 am | September 19, 2022
Due to the extreme stressors of COVID-19, career disengagement characterizes a U.S. physician workforce already in short supply, the group says, calling for telehealth expansion and prior auth reforms.  
By Bill Siwicki | 12:46 pm | September 16, 2022
In the first two years of the program, the health system reduced length of stay by half of a day, cut out 20,000 excess days and saved $40 million by eliminating inefficiencies.
By Bill Siwicki | 11:25 am | September 15, 2022
Incorrect, outdated or incomplete utilization data may not accurately reflect the underlying health risks and needs of disadvantaged populations, according to new research from the Terry Group, which offers strategies to address the challenge.
By Andrea Fox | 11:18 am | September 15, 2022
A new analysis examines how artificial intelligence in medicine can impact clinical decisions and identifies the steps that could build more trust in machine learning models from doctors and patients.