dismiss

Mark your calendars: the next Clean Sweep Live Auction will be on Thursday, June 21st Click to view the full catalogue

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
SEARCH
Aktueller Standort:
>
> This Story

starstarstarstarstar (1)
Log in oder Register to rate this News Story
Forward Printable StoryPrint Comment

 

 

Health IT Homepage

Artificial intelligence’s role in incubating new healthcare solutions Although still in its infancy, momentum is building

Bruker unveils ParaVision 360 and AVANCE NEO solutions at ISMRM ParaVision 360 now provides preclinical imaging for MR and PET/MR

Non-traditional EHR tech companies vying for stake in market Google, Microsoft, Apple and Amazon among top companies

Philips-commissioned Future Health Index measures progress toward value-based healthcare FHI 2018 looked at data across 16 countries

How can an insider threat interact with HIPAA regulated information? No hospital can afford an avoidable violation

Radiotherapy IT company CruxQS acquires RDS Will expand footprint for FlowBoard workflow management system

Inspirata acquires GE company Caradigm Will enhance unstructured data processing and speed up CIDT development

Four tough questions about patient data that hospitals must answer How Cambridge Analytica's use of Facebook data highlights ambiguities

The moving image – imaging informatics’ opportunity to improve process Insights from Dr. Geraldine McGinty

Provenance and privacy: Healthcare execs talk AI best practices Providers need to understand what the algorithms are doing and how it will help them

AI must do these five things to be useful in health care

By Gurjeet Singh

Artificial intelligence (AI) and machine learning have become catchphrases for the latest generation of vaporware. Almost any intelligent application or analytic software can now be classified as “AI”, especially if it can be applied to large data sets which, by definition, are what health care runs on. But in health care, the term AI refers not only to technology, but also to a specific approach that must follow certain rules to have any real impact on clinical care.

Story Continues Below Advertisement

THE (LEADER) IN MEDICAL IMAGING TECHNOLOGY SINCE 1982. SALES-SERVICE-REPAIR

Special-Pricing Available on Medical Displays, Patient Monitors, Recorders, Printers, Media, Ultrasound Machines, and Cameras.This includes Top Brands such as SONY, BARCO, NDS, NEC, LG, EDAN, EIZO, ELO, FSN, PANASONIC, MITSUBISHI, OLYMPUS, & WIDE.



Take population health management, which is being increasingly adopted by health care organizations so that they can succeed under value-based reimbursement. To maintain and improve the health of their patients, health care organizations need a way to understand and harness the huge amounts of data that could potentially be applied to achieving these goals. Artificial intelligence systems can derive actionable insights from large, complex data sets at the scale required by health care enterprises. AI can also uncover subtle predictive trends that traditional analytics platforms may miss. But it can do this only if it is deployed in the right way.

For starters, an AI solution must aggregate and normalize the financial and clinical data from health care information systems, along with claims data from payers, in some kind of cloud-based infrastructure such as the Hadoop framework. The AI software must be live in an organization’s clinical and business processes, and must be able to process data in near-real time to be of value in clinical and financial decisions.

Beyond that, there are five components that an AI platform needs in order to deliver the results that health care organizations seek. These can be summarized under the headings of Discover, Predict, Justify, Act and Learn, as follows.

Discover
An AI platform must be capable of performing unsupervised learning. Unsupervised learning is critical because, in large and complex data sets such as those in health care, the odds of asking the right question of your data is effectively zero. AI needs to discover all of the patterns or relationships that exist in the data, independent of human input.

For example, a health care organization might employ AI to automatically discover groups of patients who share certain kinds of characteristics. These groups, e.g.: low-income, opioid-addicted, obese patients who live alone and have two or more chronic diseases, might be targeted with personalized interventions and care paths. AI can identify these kinds of subgroups without being told what to look for. This can dramatically increase a doctor’s ability to craft care plans for people in this subpopulation. It can also help health care organizations design customized campaigns to address the medical and social needs of these patients.
  Pages: 1 - 2 - 3 >>

Health IT Homepage


You Must Be Logged In To Post A Comment

Werben
Erhöhen Sie Ihren Bekanntheitsgrad
Auktionen + Privatverkäufe
Den besten Preis erzielen
Geräte/Geräteteile kaufen
Den günstigsten Preis finden
Daily News
Die neuesten Nachrichten lesen
Übersicht
Alle DOTmed Benutzer durchsuchen
Ethik auf DOTmed
Unseren Ethik-Standard anzeigen
Gold-Parts Verkäufer-Programm
PH-Anfragen erhalten
Gold Service Dealer-Programm
Anfragen empfangen
Gesundheitsdienstleister
Alle Gesundheitsdienstleister-Tools anzeigen
Jobs/Training
Einen Job suchen
Parts Hunter +EasyPay
Angebote für Geräteteile erhalten
Kürzlich zertifiziert
Kürzlich zertifizierte Benutzer anzeigen
Kürzlich bewertet
Kürzlich zertifizierte Benutzer anzeigen
Rental Central
Geräte billiger mieten
Geräte/Geräteteile verkaufen
Das meiste Geld erhalten
Service-Techniker Forum
Hilfe und Beratung finden
Einfache Angebots-Anfrage
Angebote für Geräte erhalten
Virtuelle Messe
Service für Geräte finden
Access and use of this site is subject to the terms and conditions of our LEGAL NOTICE & PRIVACY NOTICE
Property of and Proprietary to DOTmed.com, Inc. Copyright ©2001-2018 DOTmed.com, Inc.
ALL RIGHTS RESERVED