Skip to main content

Bill Siwicki

Bill Siwicki

Bill Siwicki is Managing Editor of Healthcare IT News. Bill has 36 years of experience in journalism, with more than 25 years experience in healthcare IT.

By Bill Siwicki | 02:02 pm | August 31, 2018
The National Institute on Aging awarded a $4.
Patient Engagement
By Bill Siwicki | 10:17 am | August 31, 2018
With a vast rural population, the Florida hospital leaned on telehealth to improve transitional care.
Analytics
By Bill Siwicki | 04:45 pm | August 29, 2018
Data scientists from Takeda and institute ConvergeHEALTH by Deloitte are applying artificial intelligence to pools of patient data to test how treatment-resistant depression responds to medication.
Patient Engagement
By Bill Siwicki | 09:58 am | August 29, 2018
By deploying a mental health IT platform, Comprehensive Mental Health Services provided evidence-based, self-care interventions to combat depression and anxiety.
Mobile Health IT
By Bill Siwicki | 02:28 pm | August 24, 2018
It turns out text messages are much better than the phone or e-mail for contacting healthcare workers such as nurses when trying to fill positions.
Compliance
By Bill Siwicki | 03:09 pm | August 23, 2018
An Internet of Things expert from Travelers discusses equipment maintenance software, smart screens and IoT-linked cabinets.
Workflow
By Bill Siwicki | 09:47 am | August 23, 2018
A case manager at Legacy Salmon Creek Medical Center devised a new program that also reaped an 81 percent reduction in avoidable emergency department visits by high utilizers.
By Bill Siwicki | 03:12 pm | August 20, 2018
The health system deploys innovative FDA-approved technologies, enabling physicians to use AI algorithms to assess 3D models of the heart.
Workflow
By Bill Siwicki | 04:26 pm | August 17, 2018
The rural hospital uses a care collaboration network and emergency department-specific platform to change the behaviors of its super users and patients seeking narcotics.
By Bill Siwicki | 02:02 pm | August 16, 2018
Early detection is key to treatment, and with AI-enabled detection methods nearly a third of pancreatic cancer cases could be found four to 12 months sooner, they say.