The Role of Data Science in Closing the Implementation Gap.

Humans Data Science Artificial Intelligence Critical Care Intensive Care Units
Critical care Data science Evidence-based practice Implementation science Intensive care units Mechanical ventilation

Journal

Critical care clinics
ISSN: 1557-8232
Titre abrégé: Crit Care Clin
Pays: United States
ID NLM: 8507720

Informations de publication

Date de publication:
Oct 2023
Historique:
medline: 15 9 2023
pubmed: 14 9 2023
entrez: 13 9 2023
Statut: ppublish

Résumé

Data science has the potential to greatly enhance efforts to translate evidence into practice in critical care. The intensive care unit is a data-rich environment enabling insight into both patient-level care patterns and clinician-level treatment patterns. By applying artificial intelligence to these novel data sources, implementation strategies can be tailored to individual patients, individual clinicians, and individual situations, revealing when evidence-based practices are missed and facilitating context-sensitive clinical decision support. To achieve these goals, technology developers should work closely with clinicians to create unbiased applications that are integrated into the clinical workflow.

Identifiants

DOI: 10.1016/j.ccc.2023.03.005 PMID: 37704335
pubmed: 37704335
pii: S0749-0704(23)00018-0
doi: 10.1016/j.ccc.2023.03.005
pii:
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

701-716

Subventions

Organisme : NHLBI NIH HHS
ID : R35 HL144804
Pays : United States

Informations de copyright

Copyright © 2023 Elsevier Inc. All rights reserved.

Auteurs

Andrew J King (AJ)

Department of Critical Care Medicine, University of Pittsburgh School of Medicine, 3500 Terrace Street, Suite 600, Pittsburgh, PA 15261, USA.

Jeremy M Kahn (JM)

Department of Critical Care Medicine, University of Pittsburgh School of Medicine, 3500 Terrace Street, Suite 600, Pittsburgh, PA 15261, USA; Department of Health Policy and Management, University of Pittsburgh School of Public Health, 130 De Soto Street, Pittsburgh, PA 15261, USA. Electronic address: jeremykahn@pitt.edu.

Articles similaires

[Redispensing of expensive oral anticancer medicines: a practical application].

Lisanne N van Merendonk, Kübra Akgöl, Bastiaan Nuijen
1.00
Humans Antineoplastic Agents Administration, Oral Drug Costs Counterfeit Drugs

Smoking Cessation and Incident Cardiovascular Disease.

Jun Hwan Cho, Seung Yong Shin, Hoseob Kim et al.
1.00
Humans Male Smoking Cessation Cardiovascular Diseases Female

Evaluation of Low-Value Services Across Major Medicare Advantage Insurers and Traditional Medicare.

Ciara Duggan, Adam L Beckman, Ishani Ganguli et al.
1.00
Humans United States Aged Cross-Sectional Studies Medicare Part C

Effectiveness of Virtual Yoga for Chronic Low Back Pain: A Randomized Clinical Trial.

Hallie Tankha, Devyn Gaskins, Amanda Shallcross et al.
1.00
Humans Yoga Low Back Pain Female Male

Classifications MeSH

questionsmedicales.fr › Eucaryotes › Animaux › Chordés › Vertébrés › Mammifères › Eutheria › Primates › Haplorhini › Catarrhini › Hominidae › Humains › The Role of Data Science in Closing the...
questionsmedicales.fr › Sciences de l'information › Science des données › The Role of Data Science in Closing the...
questionsmedicales.fr › Sciences de l'information › Méthodologies informatiques › Algorithmes › Intelligence artificielle › The Role of Data Science in Closing the...
questionsmedicales.fr › Établissements, main d'oeuvre et services de soins de santé › Services de santé › Soins aux patients › Soins de réanimation › The Role of Data Science in Closing the...
questionsmedicales.fr › Établissements, main d'oeuvre et services de soins de santé › Établissements de santé › Unités hospitalières › Unités de soins intensifs › The Role of Data Science in Closing the...