Skip to main content

Decision Support

By Mike Miliard | 01:03 am | February 18, 2019
Hospitals that reach the pinnacle of the HIMSS Analytics EMR Adoption Model have more satisfied docs, more widespread personalization of EHRs and better teamwork between clinicians, according to a new survey with HIMSS Analytics.
By Bill Siwicki | 02:48 pm | February 15, 2019
VivaLNK debuted an Internet of Things-enabled wearables sensor platform, TriFin Labs unveiled a patient engagement platform, eMDs launched a revenue cycle management system and Philips introduced an epidemiology system that uses genomics and deep learning.
By Mike Miliard | 05:07 pm | February 13, 2019
Could 2019 be the year where distributed ledger technology transcends its early hype and enters into its "plateau of productivity" phase? At least one expert thinks so.
By Bill Siwicki | 01:34 pm | February 13, 2019
In a wide-ranging HIMSS19 week conversation with Healthcare IT News, Dr. Kyu Rhee discusses artificial intelligence, value-based care, healthcare quality, and how client health system Health Quest is dealing with PCMH, MIPS, CPC+ and HEDIS efforts.
By Mike Miliard | 12:10 pm | February 13, 2019
Experts from Microsoft, AMA and Cleveland Clinic weigh the serious considerations that must be addressed as AI and machine learning increasingly embed themselves in clinical and consumer applications.
By Bill Siwicki | 12:43 pm | February 11, 2019
The vendor’s new system leverages its machine learning engine to offer an interactive retrospective analysis of order utilization, matched up against the evidence-based interventions proven to affect quality outcomes.
By Bill Siwicki | 02:20 pm | February 08, 2019
The provider of case management services to various Indiana Medicaid programs linked family caregivers with remote coaches to relieve caregiver burden and improve outcomes.
By Tom Sullivan | 08:31 am | February 07, 2019
CEO Dan Burton explains what the billion-dollar mark means to the company and the industry, where its technology is headed – and where it stands on an IPO.
By Rebecca McBeth | 11:32 pm | February 06, 2019
An antibiotic prescribing app developed at Capital and Coast District Health Board (DHB) has improved doctors’ adherence to prescribing guidelines. Developed by the DHB’s Infection Services with computer science students from the Victoria University of Wellington, the Empiric app gives prescribers easy mobile access to antibiotic guidelines and assists with clinical decision making. Empiric prescribing is when a doctor chooses an antibiotic before knowing exactly what micro-organisms are involved, so they prescribe according to the symptoms. Between 35–50 per cent of hospital inpatients are on antibiotics at any one time. Most large DHBs will have their own empiric antibiotic prescribing guidelines, which are often used by the smaller local DHBs. Previously these guidelines were either in a booklet or on a website, which meant doctors had to either carry a paper copy or find a computer terminal to look them up. Infection Services clinical leader Dr Michelle Balm says that while adherence to the guidelines was good, there was room for improvement. “We wanted to make it a lot easier for prescribers to make good clinical decisions about antibiotics use as close to bedside as possible,” Balm said. Empiric is automatically downloaded on to all the DHB smartphones that are given to junior doctors in place of the traditional pager. Figures show all junior doctors are using it weekly and most on a daily basis, and adherence to the guidelines has increased since the app was introduced. Doctors report that it increases confidence around prescribing. The app is also free to download on the Apple and Android app stores and has been downloaded 700 times outside the DHB. Balm says that while there are regional differences, the prescribing guidelines are broadly applicable across New Zealand, and that the DHB made Empiric freely available for anyone to use, “in the interest of transparency and to try and get a national discussion going on this topic”. Empiric takes prescribers through a set of questions to produce a personalised – rather than generic – prescription recommendation. Features include options for when a patient has an allergy and where there is a risk of multi-drug resistant organism. This article first appeared on eHealthNews.nz.
By Bill Siwicki | 10:20 am | February 04, 2019
“At HIMSS19, we’ll highlight the shifts from retrospective analytics to predictive analytics, a health system chart to a longitudinal record and plan, and population health to personalized health,” a top Cerner exec says.