Bill Siwicki is Managing Editor of Healthcare IT News. Bill has nearly 30 years of experience in journalism, with more than 15 years in healthcare IT and healthcare finance along with extensive expertise in mobile technology.
By Bill Siwicki 10:52 am September 17, 2018
One has a moat surrounding its products no one can get through while the other offers an open operating system for all to use.
By Bill Siwicki 12:31 pm September 10, 2018
Imagine knowing, in real time, whether a patient will suffer a surgical infection as a surgeon closes up a wound. That's the kind of clinical situation that machine learning is enabling at the University of Iowa Hospitals & Clinics.
By Bill Siwicki 10:28 am September 10, 2018
Executives explain how the developer initiatives work and why they’re fueling innovation and shaping future direction of their platforms.
By Bill Siwicki 01:27 pm September 07, 2018
The Ohio health system implemented analytics and decision support to reduce opioid prescriptions.
By Bill Siwicki 10:41 am September 07, 2018
Learn how Tift Regional Health System found a more effective way to connect primary care doctors and specialists.
By Bill Siwicki 02:46 pm September 05, 2018
The pregnancy app, developed in-house with some help, allowed the hospital to improve its OB-maternity HCAHPS by 68 percent – and cut printing costs for paper handouts by half.
By Bill Siwicki 01:46 pm September 04, 2018
The Einstein Medical Center wanted to decrease readmissions for liver failure patients by 50 percent.
By Bill Siwicki 01:02 pm August 31, 2018
The National Institute on Aging awarded a $4.5 million grant to the University of California Berkeley and People Power, an IoT software provider, to support research on smart home solutions for caregivers of dementia patients.
By Bill Siwicki 09:17 am August 31, 2018
With a vast rural population, the Florida hospital leaned on telehealth to improve transitional care.
By Bill Siwicki 03:45 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.