(CONCERN) Clinical Decision Support (CDS) System
Communicating Narrative Concerns Entered by RNs (CONCERN) Clinical Decision Support (CDS) System
2 other identifiers
interventional
60,893
1 country
4
Brief Summary
There are patients who die or have a bad outcome in the hospital and this could be prevented. Data in the nurses' notes could be used by computers to tell the rest of the care team that a patient is not doing well and that they should act more quickly. This project will build and evaluate a computer system that makes it easier for the care team to see and understand that data and act quickly to save patients. The aims of this study is to answer the questions, what is the level of provider use of the CONCERN CDS notification system (called CONCERN SMARTapp) and resulting impact on selected patient outcomes? Specifically, the study has 1) validated desired thresholds for the CONCERN CDS system and 2) integrated the CONCERN CDS system for early warning of risky patient states within CDS tools. In this portion of the study (aim 3), the investigator will implement and evaluate the CONCERN CDS system on primary outcomes of in-hospital mortality and length of stay and secondary outcomes of cardiac arrest, unanticipated transfers to the intensive care unit, and 30-day hospital readmission rates.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for not_applicable
Started Jul 2020
Typical duration for not_applicable
4 active sites
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
Click on a node to explore related trials.
Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
February 28, 2019
CompletedFirst Posted
Study publicly available on registry
April 11, 2019
CompletedStudy Start
First participant enrolled
July 21, 2020
CompletedPrimary Completion
Last participant's last visit for primary outcome
October 31, 2022
CompletedStudy Completion
Last participant's last visit for all outcomes
October 31, 2022
CompletedResults Posted
Study results publicly available
May 9, 2025
CompletedMay 9, 2025
April 1, 2025
2.3 years
February 28, 2019
April 4, 2025
April 23, 2025
Conditions
Keywords
Outcome Measures
Primary Outcomes (2)
In-hospital Mortalities
Number of patient deaths occurring in the hospital.
Up to 24 months
Average Length of Hospital Stay
The number of days that a patient was in the hospital
Up to 24 months
Secondary Outcomes (4)
Number of Cardiac Arrests
Up to 24 months
Number of Hospital Acquired Sepsis
Up to 24 months
Number of Unanticipated Transfers to ICU
Up to 24 months
Number of Hospital Readmissions
Up to 24 months
Study Arms (2)
Control Group
NO INTERVENTIONControl data will be collected in the CONCERN CDS system that will be "live" in the EHR, but in silent release mode (e.g., not providing notification to clinicians).
Intervention Group
EXPERIMENTALExperimental data will be collected in the CONCERN CDS system that will be "live" in the EHR in "active" release mode (e.g., providing CONCERN CDS system notification to clinicians).
Interventions
The CONCERN CDS will trigger based on analytics of nursing documentation that indicates recognition and concern of patient changes. The CONCERN CDS will alert the care team of the patients "risky state" to increase team-based situational awareness (i.e., shared understanding of the patient situation) of patients predicted to be at risk for patient decompensating in need of rapid intervention to prevent mortality and associated harm. Version 1: Burn in phase to evaluate adoption and adaptation to the algorithm being studied. Expected time frame - 3 months Version 2: Version 2 refined based on continuous monitoring of data. Expected time frame - 3 months Version 3: Version 3 refined based on continuous monitoring of data. Expected time frame - 3 months
Eligibility Criteria
You may qualify if:
- Inpatients with a stay of at least 24 hours on one of our study units
You may not qualify if:
- Inpatients with less than 24 hours on one of our study units
- Patients less than 18 years of age
- Hospice patients
- Did not have a hospital encounter, patients not on one of our study units.
- Definition of Study Units:
- A clinical unit is considered a CONCERN Study unit if it meets the following criteria:
- A general medical or surgical acute care or critical care unit
- The following clinical units are NOT considered CONCERN Study units:
- Pediatric or Neonatal units
- Hospice units
- Emergency Department
- Oncology units
- Obstetrician (OB)/labor and delivery units
- Behavioral/psych units
- Observational units
- +6 more criteria
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- Columbia Universitylead
- National Institute of Nursing Research (NINR)collaborator
- Brigham and Women's Hospitalcollaborator
Study Sites (4)
Brigham and Women's Hospital
Boston, Massachusetts, 02115, United States
Newton-Wellesley Hospital
Newton, Massachusetts, 02462, United States
New York Presbyterian Columbia University Medical Center
New York, New York, 10032, United States
New York Presbyterian Allen Hospital
New York, New York, 10034, United States
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PMID: 11302293BACKGROUNDRossetti SC, Dykes PC, Knaplund C, Cho S, Withall J, Lowenthal G, Albers D, Lee RY, Jia H, Bakken S, Kang MJ, Chang FY, Zhou L, Bates DW, Daramola T, Liu F, Schwartz-Dillard J, Tran M, Bokhari SMA, Thate J, Cato KD. Real-time surveillance system for patient deterioration: a pragmatic cluster-randomized controlled trial. Nat Med. 2025 Jun;31(6):1895-1902. doi: 10.1038/s41591-025-03609-7. Epub 2025 Apr 2.
PMID: 40175738DERIVEDRossetti SC, Dykes PC, Knaplund C, Cho S, Withall J, Lowenthal G, Albers D, Lee R, Jia H, Bakken S, Kang MJ, Chang FY, Zhou L, Bates DW, Daramola T, Liu F, Schwartz-Dillard J, Tran M, Abbas Bokhari SM, Thate J, Cato KD. Multisite Pragmatic Cluster-Randomized Controlled Trial of the CONCERN Early Warning System. medRxiv [Preprint]. 2024 Jun 4:2024.06.04.24308436. doi: 10.1101/2024.06.04.24308436.
PMID: 38883706DERIVEDRossetti SC, Dykes PC, Knaplund C, Kang MJ, Schnock K, Garcia JP Jr, Fu LH, Chang F, Thai T, Fred M, Korach TZ, Zhou L, Klann JG, Albers D, Schwartz J, Lowenthal G, Jia H, Liu F, Cato K. The Communicating Narrative Concerns Entered by Registered Nurses (CONCERN) Clinical Decision Support Early Warning System: Protocol for a Cluster Randomized Pragmatic Clinical Trial. JMIR Res Protoc. 2021 Dec 10;10(12):e30238. doi: 10.2196/30238.
PMID: 34889766DERIVED
MeSH Terms
Conditions
Interventions
Condition Hierarchy (Ancestors)
Intervention Hierarchy (Ancestors)
Results Point of Contact
- Title
- Sarah Collins Rossetti, PhD
- Organization
- Columbia University
Study Officials
- PRINCIPAL INVESTIGATOR
Patricia Dykes, PhD
Brigham and Women's Hospital
- PRINCIPAL INVESTIGATOR
Sarah Collins Rossetti, PhD
Columbia University
- PRINCIPAL INVESTIGATOR
Kenrick Cato, PhD
Columbia University
Publication Agreements
- PI is Sponsor Employee
- No
- Restrictive Agreement
- No
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- RANDOMIZED
- Masking
- NONE
- Purpose
- HEALTH SERVICES RESEARCH
- Intervention Model
- SEQUENTIAL
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Assistant Professor of Biomedical Informatics and Nursing
Study Record Dates
First Submitted
February 28, 2019
First Posted
April 11, 2019
Study Start
July 21, 2020
Primary Completion
October 31, 2022
Study Completion
October 31, 2022
Last Updated
May 9, 2025
Results First Posted
May 9, 2025
Record last verified: 2025-04
Data Sharing
- IPD Sharing
- Will not share
This study will develop an open source SmartApp using interoperability standards. The investigators will make all source code available to any researchers upon request. This approach will ensure open access to all project aims, methods, resources, and deliverables by anyone via a study web-page. To aid in replication this web-page will include methods as well as other project processes such as stakeholder engagement, technical development, governance and lessons learned.