DOTmed Home MRI Oncology Ultrasound Molecular Imaging X-Ray Cardiology Health IT Business Affairs
News Home Parts & Service Operating Room CT Women's Health Proton Therapy Endoscopy HTMs Mobile Imaging
Current Location:
> This Story

Log in or Register to rate this News Story
Forward Printable StoryPrint Comment



Health IT Homepage

UCSF to install new software for oncology treatment planning Will apply to the treatment of head and neck, and lung cancers

Enhancing the front lines of emergency care through analytics How McLeod Health Clarendon Hospital reinvented its approach to ED operations

Closing the knowledge gaps in care gap management Understanding the limitations of certain data sets as they apply to population health

Some GE imaging systems vulnerable to hacking: Homeland Security Research points to potential risks from use of default or hardcoded credentials in the systems

IBM and Elekta collab to bridge global cancer care gaps Combining Elekta’s MOSAIQ and IBM’s Watson for Oncology

New Jersey health system connects its medical devices to its Epic EHR Cooper University Health Care installs Bernoulli One platform

Securing the cloud in health care is a shared responsibility Lessons learned from luring attackers to a decoy health care website

Nihon Kohden debuts AR and monitoring solutions at HIMSS Enhance ability to correctly place leads and enable continuous monitoring in hospital

Mobile communications devices can increase workplace safety in hospitals How wearable device badges can improve response time when violence erupts

Nuance integrates AI virtual assistant with EPIC EHR Enables data entry, ordering for patients and schedule management by command

Three ways clinical analytics are becoming healthcare’s vital intelligence tool

By Carolyn Scott

Healthcare continues to undergo a major transition and while the shift from fee-for-service to value-based care is predominantly the key driver, an influx of data and technology innovations designed to create greater value out of this data are also driving this monumental shift. Systems and solutions driven by artificial intelligence, as well as predictive and analytic technologies, are not only improving the efficiency and productivity of health organizations and clinicians, but are enhancing patient outcomes, workflow and care management at all levels.

Due to the growing aging population, a number of which have chronic conditions, healthcare organizations are tasked with not only increasing the quality of care to improve outcomes, but decreasing costs and ensuring the sustainably of overall healthcare costs as well. Data is helping provide solutions to these challenges, meaning today’s clinicians and providers are expected to do more with clinical data to achieve these imperatives.

Story Continues Below Advertisement

The (#1 Resource) for Medical Imaging and Peripherals. Call 1-949-273-8000

As a Master Distributor for major brands Barco, Philips, and Sony, we offer custom imaging solutions. With our renowned OEM Solutions and Service/Repair Center, Ampronix is a one-stop shop for HD Medical LCD Displays--Printers--Recorders--4K Cameras

However, care teams frequently find themselves equipped with outdated tools that aren’t effectively harnessing this information, and don’t support the industry’s new quality and cost initiatives – leaving room for clinical analytics to become an increasingly critical tool. The availability of data in electronic form is a prime factor for this technology’s growing role and, with data elements being stored electronically and available in real time, patient information can be collected, aggregated and analyzed to predict health outcomes and better manage patient conditions.

With value-based goals to work towards and a continuous flow of patient data, real-time clinical analytics are poised to give clinicians the actionable insights they need to significantly impact their workflows and patient’s outcomes. Particularly in three key areas:

• Enabling proactive care – Clinical analysis of all health data available can help detect subtle signs of patient deterioration, enabling clinicians – particularly nurses – to treat patients more proactively. Real-time and predictive clinical surveillance tools that synthesize available, but siloed clinical data, can paint a detailed picture of a patient’s condition, signaling subtle signs of deterioration before they’re otherwise noticeable. Not only do these early warning signs of change enable nurses to proactively intervene before further progression occurs and situations become urgent, but they also enable a transformation in care team workflow.

At a higher level, clinical surveillance tools that utilize analytics will enable clinicians to prioritize the order in which they see patients – specifically, which patients require attention sooner than others. If nurses and physicians are able to detect and treat signs of patient deterioration before a patient’s condition becomes critical, they effectively reduce the need for a rapid response or code blue down the line, which can lead to improved patient outcomes and overall satisfaction, as well as reduced lengths of stay and costs.

  Pages: 1 - 2 >>

Health IT Homepage

You Must Be Logged In To Post A Comment

Increase Your
Brand Awareness
Auctions + Private Sales
Get The
Best Price
Buy Equipment/Parts
Find The
Lowest Price
Daily News
Read The
Latest News
Browse All
DOTmed Users
Ethics on DOTmed
View Our
Ethics Program
Gold Parts Vendor Program
Receive PH
Gold Service Dealer Program
Receive RFP/PS
Healthcare Providers
See all
HCP Tools
A Job
Parts Hunter +EasyPay
Get Parts
Recently Certified
View Recently
Certified Users
Recently Rated
View Recently
Certified Users
Rental Central
Rent Equipment
For Less
Sell Equipment/Parts
Get The
Most Money
Service Technicians Forum
Find Help
And Advice
Simple RFP
Get Equipment
Virtual Trade Show
Find Service
For Equipment
Access and use of this site is subject to the terms and conditions of our LEGAL NOTICE & PRIVACY NOTICE
Property of and Proprietary to, Inc. Copyright ©2001-2018, Inc.