HAIQU (Hospital AIr QUality)
HAIQU
2 other identifiers
interventional
850
1 country
3
Brief Summary
The purpose of this research is to assess whether integration of an aerosol biosensor and air quality risk assessment software that integrates into a building management system will improve indoor air quality metrics in hospital environments and reduces risk factors associated with respiratory disease transmission.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for not_applicable
Started Oct 2026
Typical duration for not_applicable
3 active sites
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
June 19, 2026
CompletedFirst Posted
Study publicly available on registry
June 26, 2026
CompletedStudy Start
First participant enrolled
October 1, 2026
ExpectedPrimary Completion
Last participant's last visit for primary outcome
September 30, 2029
Study Completion
Last participant's last visit for all outcomes
September 30, 2029
June 29, 2026
June 1, 2026
3 years
June 19, 2026
June 25, 2026
Conditions
Outcome Measures
Primary Outcomes (1)
Number of participants to experience acute respiratory infection (ARI) symptoms
Symptoms include: at least 2 upper respiratory symptoms for at least 24 hours; OR at least 2 symptoms that include an upper/lower respiratory symptom and a systemic symptom (fever, fatigue, body aches, headache, decreased appetite) for at least 24 hours
3 years
Secondary Outcomes (2)
Number of confirmed cases of acute respiratory infections
3 years
Number of confirmed cases of lower respiratory tract disease
3 years
Study Arms (1)
Emergency Department Employees
EXPERIMENTALEmergency Department employees will act as the target group with the Emergency Department building implementing the HAIQU air quality sensor.
Interventions
Participants will self-report when they are experiencing respiratory symptoms and will be asked for a self-swab to be used for data analysis.
Eligibility Criteria
You may qualify if:
- Target Group:
- Mayo Clinic Staff working in ED with a minimum of .7 FTE in Midwest (MN and WI), Phoenix (AZ), or Jacksonville (FL) and patient contact.
- Reference Group:
- Mayo Clinic Staff working in primary care with a minimum of .7 FTE. in Rochester (MN), Phoenix (AZ), or Jacksonville (FL) and patient contact
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- Mayo Cliniclead
- Advanced Research Projects Agency for Healthcollaborator
- Roche Pharma AGcollaborator
Study Sites (3)
Mayo Clinic Arizona
Phoenix, Arizona, 85054, United States
Mayo Clinic Florida
Jacksonville, Florida, 32224, United States
Mayo Clinic
Rochester, Minnesota, 55905, United States
Study Officials
- PRINCIPAL INVESTIGATOR
Connie Chang, Ph.D.
Mayo Clinic
- PRINCIPAL INVESTIGATOR
Chung Wi, M.D.
Mayo Clinic
Central Study Contacts
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- NA
- Masking
- NONE
- Masking Details
- There is no masking in this study.
- Purpose
- PREVENTION
- Intervention Model
- SINGLE GROUP
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Associate Professor of Biomedical Engineering
Study Record Dates
First Submitted
June 19, 2026
First Posted
June 26, 2026
Study Start (Estimated)
October 1, 2026
Primary Completion (Estimated)
September 30, 2029
Study Completion (Estimated)
September 30, 2029
Last Updated
June 29, 2026
Record last verified: 2026-06
Data Sharing
- IPD Sharing
- Will not share
Individual participant data (IPD) will not be shared because the study collects detailed longitudinal health, occupational, and location-related information from Mayo Clinic employees. Although data will be coded for research purposes, the combination of respiratory health outcomes, workplace characteristics, and real-time location system (RTLS) data may increase the risk of participant re-identification. To protect participant privacy, confidentiality, and institutional data security requirements, individual-level datasets will not be made available to external researchers. Aggregate and de-identified study results will be reported through scientific publications and presentations in accordance with applicable regulations and institutional policies.