Literature DB >> 23774450

Considerations for a successful clinical decision support system.

Ranielle S Castillo1, Arpad Kelemen.   

Abstract

Clinical decision support systems have the potential to improve patient care in a multitude of ways. Clinical decision support systems can aid in the reduction of medical errors and reduction in adverse drug events, ensure comprehensive treatment of patient illnesses and conditions, encourage the adherence to guidelines, shorten patient length of stay, and decrease expenses over time. A clinical decision support system is one of the key components for reaching compliance for Meaningful Use. In this article, the advantages, potential drawbacks, and clinical decision support system adoption barriers are discussed, followed by an in-depth review of the characteristics that make a clinical decision support system successful. The legal and ethical issues that come with the implementation of a clinical decision support system within an organization and the future expectations of clinical decision support system are reviewed.

Entities:  

Mesh:

Year:  2013        PMID: 23774450     DOI: 10.1097/NXN.0b013e3182997a9c

Source DB:  PubMed          Journal:  Comput Inform Nurs        ISSN: 1538-2931            Impact factor:   1.985


  13 in total

1.  Sinusitis Treatment Guideline Adherence in the E-Visit Setting: A Performance Improvement Project.

Authors:  Kevin L Smith; Dang Tran; Bonnie L Westra
Journal:  Appl Clin Inform       Date:  2016-05-11       Impact factor: 2.342

2.  SymptomCare@Home: Developing an Integrated Symptom Monitoring and Management System for Outpatients Receiving Chemotherapy.

Authors:  Susan L Beck; Linda H Eaton; Christina Echeverria; Kathi H Mooney
Journal:  Comput Inform Nurs       Date:  2017-10       Impact factor: 1.985

Review 3.  Electronic Health Record Tools to Identify Child Maltreatment: Scoping Literature Review and Key Informant Interviews.

Authors:  Laura Stilwell; Megan Golonka; Kristin Ankoma-Sey; Madeleine Yancy; Samantha Kaplan; Lindsay Terrell; Elizabeth J Gifford
Journal:  Acad Pediatr       Date:  2022-02-04       Impact factor: 2.993

4.  GPs' perspectives on prescribing for older people in primary care: a qualitative study.

Authors:  David O Riordan; Stephen Byrne; Aoife Fleming; Patricia M Kearney; Rose Galvin; Carol Sinnott
Journal:  Br J Clin Pharmacol       Date:  2017-02-08       Impact factor: 4.335

5.  mHealth for Clinical Decision-Making in Sub-Saharan Africa: A Scoping Review.

Authors:  Ibukun-Oluwa Omolade Adepoju; Bregje Joanna Antonia Albersen; Vincent De Brouwere; Jos van Roosmalen; Marjolein Zweekhorst
Journal:  JMIR Mhealth Uhealth       Date:  2017-03-23       Impact factor: 4.773

6.  Using Mobile Health to Support Clinical Decision-Making to Improve Maternal and Neonatal Health Outcomes in Ghana: Insights of Frontline Health Worker Information Needs.

Authors:  Hannah Brown Amoakoh; Kerstin Klipstein-Grobusch; Diederick E Grobbee; Mary Amoakoh-Coleman; Ebenezer Oduro-Mensah; Charity Sarpong; Edith Frimpong; Gbenga A Kayode; Irene Akua Agyepong; Evelyn K Ansah
Journal:  JMIR Mhealth Uhealth       Date:  2019-05-24       Impact factor: 4.773

7.  Patient-Generated Health Data Integration and Advanced Analytics for Diabetes Management: The AID-GM Platform.

Authors:  Elisa Salvi; Pietro Bosoni; Valentina Tibollo; Lisanne Kruijver; Valeria Calcaterra; Lucia Sacchi; Riccardo Bellazzi; Cristiana Larizza
Journal:  Sensors (Basel)       Date:  2019-12-24       Impact factor: 3.576

8.  Barriers and Facilitators for Implementation of a Computerized Clinical Decision Support System in Lung Cancer Multidisciplinary Team Meetings-A Qualitative Assessment.

Authors:  Sosse E Klarenbeek; Olga C J Schuurbiers-Siebers; Michel M van den Heuvel; Mathias Prokop; Marcia Tummers
Journal:  Biology (Basel)       Date:  2020-12-25

9.  A clinical decision support system for integrating tuberculosis and HIV care in Kenya: a human-centered design approach.

Authors:  Caricia Catalani; Eric Green; Philip Owiti; Aggrey Keny; Lameck Diero; Ada Yeung; Dennis Israelski; Paul Biondich
Journal:  PLoS One       Date:  2014-08-29       Impact factor: 3.240

10.  Barriers and facilitators to the uptake of computerized clinical decision support systems in specialty hospitals: protocol for a qualitative cross-sectional study.

Authors:  Lorenzo Moja; Elisa Giulia Liberati; Laura Galuppo; Mara Gorli; Marco Maraldi; Oriana Nanni; Giulio Rigon; Pietro Ruggieri; Francesca Ruggiero; Giuseppe Scaratti; Alberto Vaona; Koren Hyogene Kwag
Journal:  Implement Sci       Date:  2014-08-28       Impact factor: 7.327

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.