Toward a digital decision- and workflow-support system for initiation and control of long-term non-invasive ventilation in stable hypercapnic COPD patients.

COPD NIV decision-support system hypercapnia non-invasive ventilation

Journal

Therapeutic advances in chronic disease
ISSN: 2040-6223
Titre abrégé: Ther Adv Chronic Dis
Pays: United States
ID NLM: 101532140

Informations de publication

Date de publication:
2022
Historique:
received: 24 11 2021
accepted: 21 04 2022
entrez: 2 6 2022
pubmed: 3 6 2022
medline: 3 6 2022
Statut: epublish

Résumé

Due to an increasing demand for the initiation and control of non-invasive ventilation (NIV), digital algorithms are suggested to support therapeutic decisions and workflows in an ambulatory setting. The DIGIVENT project established and implemented such algorithms for patients with chronic hypercapnic respiratory failure due to chronic obstructive pulmonary disease (COPD) by a predefined process. Based on long-term clinical experience and guideline recommendations as provided by the German Respiratory Society, detailed graphical descriptions of how to perform NIV in stable COPD patients were created. Subsequently, these clinical workflows were implemented in the Business Process Model and Notation (BPMN) as one tool to formalize these workflows serving as input for an executable digital implementation. We succeeded in creating an executable digital implementation that reflects clinical decision-making and workflows in digital algorithms. Furthermore, we built a user-friendly graphical interface that allows easy interaction with the DIGIVENT support algorithms. The DIGIVENT project established digital treatment algorithms and implemented a decision- and workflow-support system for NIV whose validation in a clinical cohort is planned.

Identifiants

pubmed: 35651648
doi: 10.1177/20406223221099338
pii: 10.1177_20406223221099338
pmc: PMC9149610
doi:

Types de publication

Journal Article

Langues

eng

Pagination

20406223221099338

Informations de copyright

© The Author(s), 2022.

Déclaration de conflit d'intérêts

Conflict of interest statement: The authors declared the following potential conflicts of interest with respect to the research, authorship, and/or publication of this article: MD received fees for speaking and consulting from Hamilton, Heinen und Löwenstein, Linde, Philips Respironics, ResMed, and Weinmann as well as research grants from Linde, Philips Respironics, and ResMed. WW has received speaking fees from companies dealing with mechanical ventilation products. The Cologne study group (WW) has received open research grants from Weinmann/Germany, Vivisol/Germany, Löwenstein Medical/Germany, VitalAire/Germany, and Philips Respironics/USA. The remaining authors have nothing to disclose.

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Auteurs

Christian Gabriel Cornelissen (CG)

Department of Pulmonology and Intensive Care Medicine, University Hospital Aachen, 52074 Aachen, Germany.

Stefan Winter (S)

Philips GmbH Innovative Technologies Aachen, Aachen, Germany.

Daniel Keuchel (D)

Fachhochschule Dortmund, FB Informatik, Darmstadt, Germany.

Nicolai Spicher (N)

Fachhochschule Dortmund, FB Informatik, Darmstadt, Germany.

Britta Boeckmann (B)

Fachhochschule Dortmund, FB Informatik, Darmstadt, Germany.

Christian Stephan (C)

Kairos GmbH, Bochum, Germany.

Tan Saygi (T)

Kairos GmbH, Bochum, Germany.

Wolfram Windisch (W)

Department of Pulmonology, Cologne Merheim Hospital, Kliniken Der Stadt Köln gGmbH, Witten/Herdecke University, Cologne, Germany.

Thomas Vollmer (T)

Philips GmbH Innovative Technologies Aachen, Aachen, Germany.

Michael Dreher (M)

Department of Pulmonology and Intensive Care Medicine, University Hospital Aachen, Aachen, Germany.

Classifications MeSH