SBIR/STTR Research Award

Q-rounds: Making Multi-Disciplinary Family Centered Rounds and Achievable Standard of Care through Novel Virtual Rounding Features

Award identifier 9d5a4d2d744190d15eac88a4b2ad670d7b3115a7a318450dea262610f78e38bfAwarding agency Department of Health and Human Services · National Institutes of Health

Award amount

$1,021,840

Program and phase

SBIR · Phase II

Award year

2025

Explore This Research Award in CaptureIQ

Research the technology, evaluate the recipient and agency, identify related opportunities, and explore potential follow-on work with CaptureIQ.

Award details

Awarding agency
Department of Health and Human Services
Branch
National Institutes of Health
Recipient company
Q-rounds Inc.
Proposal award date
2025-09-01
Contract end date
2027-06-30
UEI
RDSFNYNLH744
Solicitation number
MD24-006
Topic code
600

Research abstract

Involving the nurse, patient and their family together during inpatient hospital rounds – a process known as multidisciplinary family centered rounding – is a best practice, yet rarely occurs. While it is well established that involving family in rounds leads to improved outcomes including decreased harmful medical errors, increased shared decision-making, and improvements in nurse and patient satisfaction, the inability for nurses and families to know when rounds will occur, makes getting everyone in the same room at the necessary time challenging. This fragmented care leads to medical errors, with miscommunication cited as the number one root cause of serious safety events and medical malpractice claims in the United States. To address these communication and coordinated challenges, Q-rounds built the first virtual rounding queue software that provides real-time updates to nurses, patients, and their families of when to expect the doctors for rounds and gives families who cannot be there in person an opportunity to RSVP to join remotely when it is their turn. In a Phase I Equivalent study, Q-rounds was shown to improve the hospital rounding experience for doctors, nurses, patients, and their families by getting all the stakeholders in the room together for the most important part of a hospital day with thousands of families joining rounds remotely since going to market in 2023. This proposal builds upon that foundation by developing innovative features to further improve communication, scheduling, and participation in rounds. These enhancements are designed to increase the reliability, efficiency, ability for families to participate in rounds through digital innovation. Successful completion of these aims will help ensure that critical updates, clinical discussions, and nurse and family input are better coordinated and consistently delivered across the care team. While it is well established that having patient’s family participate in hospital rounds leads to improved outcomes including decreased medical errors, increased shared decision-making, and improvements in patient satisfaction, without the ability to know when rounds will occur, families must often choose to wait at the bedside for hours hoping to be present, or miss rounds entirely. This Direct-to-Phase II proposal aims to improve the reliability and efficiency of inpatient hospital rounds by providing real-time notifications to families and nurses about rounding schedules and offering secure remote participation options, including streamlined interpreter integration when needed. The proposed enhancements to the Q-rounds platform will strengthen coordination between families and care teams, improve communication workflows, and support broader operational efficiency for hospitals. These improvements also help reduce staff stress and support clinician well-being by creating more predictable rounding environments where everyone who needs to be in the room for rounds to occur is reliably able to do so. By making it easier for families to engage meaningfully in their loved one’s care, Q-rounds promotes high-quality, patient-centered care through the use of scalable digital tools.

Technology keywords

Not reported

Awards with the same topic code

Verified by an exact topic code match. This is not a text-similarity match.

Agency intelligence

Department of Health and Human Services

Back to SBIR/STTR Research Awards

Don't take our word for it. Ask AI about RFPCapture.

See what leading AI assistants have to say about RFPCapture and CaptureIQ.

Gemini opens without a prefilled question. The question is copied to your clipboard when the button works. You can also copy it here:

What is RFPCapture.com and its CaptureIQ platform from Smart Logic AI? How does it help federal contractors discover opportunities, evaluate bid/no-bid decisions, research government contracts, and prepare proposals? How does it compare with other federal capture platforms? Use independent sources where available.