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Showing 1 to 12 of 44 entries
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Development of a workflow integration survey (WIS) for implementing computerized clinical decision support.

AMIA ... Annual Symposium proceedings. AMIA Symposium

Flanagan M, Arbuckle N, Saleem JJ, Militello LG, Haggstrom DA, Doebbeling BN.
PMID: 22195096
AMIA Annu Symp Proc. 2011;2011:427-34. Epub 2011 Oct 22.

Interventions that focus on improving computerized clinical decision support (CDS) demonstrate that successful workflow integration can increase the adoption and use of CDS. However, metrics for assessing workflow integration in clinical settings are not well established. The goal of...

A 2014 medical informatics perspective on clinical decision support systems: do we hit the ceiling of effectiveness?.

Yearbook of medical informatics

Bouaud J, Lamy JB.
PMID: 25123737
Yearb Med Inform. 2014 Aug 15;9:163-6. doi: 10.15265/IY-2014-0036.

OBJECTIVE: To summarize recent research and propose a selection of best papers published in 2013 in the field of computer-based decision support in health care.METHOD: Two literature reviews were performed by the two section editors from bibliographic databases with...

Clinical decision support: converging toward an integrated architecture.

Journal of biomedical informatics

Sen A, Banerjee A, Sinha AP, Bansal M.
PMID: 22789390
J Biomed Inform. 2012 Oct;45(5):1009-17. doi: 10.1016/j.jbi.2012.07.001. Epub 2012 Jul 10.

No abstract available.

Constructing Clinical Decision Support Systems for Adverse Drug Event Prevention: A Knowledge-based Approach.

AMIA ... Annual Symposium proceedings. AMIA Symposium

Koutkias V, Kilintzis V, Stalidis G, Lazou K, Collyda C, Chazard E, McNair P, Beuscart R, Maglaveras N.
PMID: 21347009
AMIA Annu Symp Proc. 2010 Nov 13;2010:402-6.

A knowledge-based approach is proposed that is employed for the construction of a framework suitable for the management and effective use of knowledge on Adverse Drug Event (ADE) prevention. The framework has as its core part a Knowledge Base...

The promise and peril of healthcare forecasting.

The American journal of managed care

Wharam JF, Weiner JP.
PMID: 22435964
Am J Manag Care. 2012 Mar 01;18(3):e82-5.

Health plans and physician groups increasingly use sophisticated tools to predict individual patient outcomes. Such analytics will accelerate as US medicine enters the digital age. Promising applications of forecasting include better targeting of disease management as well as innovative...

Integration of workflow and rule engines for clinical decision support services.

Studies in health technology and informatics

Lee J, Kim J, Cho I, Kim Y.
PMID: 20841798
Stud Health Technol Inform. 2010;160:811-5.

Although recent studies have suggested the feasibility of integrating workflow and rule technology in a Clinical Decision Support System (CDSS), their implementation has not been verified yet. This paper proposes a knowledge engine which integrates workflow and rule engine...

Second-generation clinical decision support.

Healthcare informatics : the business magazine for information and communication systems

Hagland M.
PMID: 22452112
Healthc Inform. 2012 Mar;29(3):20-1.

No abstract available.

Evidence-based infrastructure.

Hospitals & health networks

Newhouse R.
PMID: 16396120
Hosp Health Netw. 2005 Nov;79(11):10.

No abstract available.

[Knowledge and practice].

Medicina clinica

Perpiñá Tordera M.
PMID: 15737303
Med Clin (Barc). 2005 Feb 19;124(6):215-6. doi: 10.1157/13071761.

No abstract available.

Advanced clinician order management a superset of CPOE.

Journal of healthcare information management : JHIM

McCoy MJ.
PMID: 16266025
J Healthc Inf Manag. 2005;19(4):11-3.

No abstract available.

Order sets in electronic health records: principles of good practice.

Chest

McGreevey JD.
PMID: 23276846
Chest. 2013 Jan;143(1):228-235. doi: 10.1378/chest.12-0949.

Electronic health record (EHR) order sets are common. Order sets represent one clinical decision support (CDS) tool within computerized provider order entry systems that may promote safe, efficient, and evidence-based patient care. A small number of order sets account...

Clinical decision support: using technology to identify patients' unmet needs.

Family practice management

McLeod W, Eidus R, Stewart EE.
PMID: 22534440
Fam Pract Manag. 2012 Mar-Apr;19(2):22-8.

No abstract available.

Showing 1 to 12 of 44 entries