Importance of Point-of-Care Ultrasound for Early Detection of Valvular and Cardiac Diseases (IMPROVE) (IMPROVE)

August 12, 2026 updated by: Dharam Kumbhani, University of Texas Southwestern Medical Center

Heart valve disease and weakened heart muscle (left ventricular systolic dysfunction) are common in older adults and often go undetected until serious complications such as heart failure develop. Detection currently depends on a clinician hearing a murmur and then ordering an echocardiogram, which is easily missed or delayed.

This study tests whether a brief, artificial intelligence (AI)-guided handheld heart ultrasound - point-of-care ultrasound, or POCUS - performed by trained clinic staff during a routine visit identifies these conditions earlier than usual care.

Primary care and geriatrics providers, rather than individual patients, are assigned by chance to one of two groups. Patients seen by providers in the AI-ultrasound group are offered a POCUS scan and a one-time blood test at their regular visit, and are referred for a confirmatory echocardiogram if the scan is abnormal. Patients seen by providers in the usual care group receive standard clinic care. Researchers will compare how often previously undiagnosed structural heart disease is newly identified in each group.

Study Overview

Detailed Description

Structural heart disease (SHD) - principally degenerative valvular heart disease (VHD) and left ventricular systolic dysfunction (LVSD) - affects an estimated 21.7% of adults aged 65 and older and carries substantial morbidity and mortality, yet detection relies on passive case finding through auscultation and subsequent echocardiography referral. AI-guided point-of-care ultrasound (AI-POCUS) offers a means of systematic screening at the point of routine ambulatory care by operators without formal sonography training.

IMPROVE is a hybrid type 1 effectiveness-implementation, stratified, cluster-randomized trial. The unit of randomization is the provider cluster: each participating primary care or geriatrics physician or advanced practice provider, with their patient panel, constitutes one cluster. Thirty-two clusters are randomized 1:1 to AI-POCUS screening or usual care, stratified by hospital system (UT Southwestern Medical Center and Parkland Health & Hospital System), with approximately 1,088 patients aged 65-85 enrolled over 24 months.

In intervention clusters, trained clinic staff perform protocolized AI-guided POCUS using the Kosmos Torso-One device, together with a 2 mL NT-proBNP blood draw. Images are reviewed by a blinded echocardiographic core laboratory; participants with at least moderate VHD or LVEF 50% or less are referred for confirmatory transthoracic echocardiography, with all subsequent management at the treating provider's discretion. Usual care clusters receive standard care and are monitored for echocardiography referral within 90 days of the index visit. All echocardiograms performed within 90 days in either arm are interpreted in the core lab in a blinded fashion.

The primary outcome (Aim 1) is a new diagnosis of at least moderate VHD or LVSD confirmed by complete echocardiography within 90 days of screening. Secondary outcomes include downstream care processes and major adverse cardiovascular events over 2 years. Aim 2 evaluates implementation determinants and outcomes - adoption, acceptability, appropriateness, and feasibility - using CFIR and Proctor's taxonomy, through structured workflow observations and semi-structured interviews. The primary analysis is intention-to-treat using a generalized linear mixed model with provider-level random effects.

Study Type

Interventional

Enrollment (Estimated)

1088

Phase

  • Not Applicable

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Contact

Study Contact Backup

Study Locations

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Older Adult

Accepts Healthy Volunteers

No

Description

Inclusion Criteria:

Provider (cluster) participants:

  • Physician or advanced practice provider (physician assistant or nurse practitioner) practicing in primary care or geriatrics at a participating institution who independently assesses patients
  • Patient panel comprising >50% adults aged 65 years or older
  • Sees patients in ambulatory clinic at least 1 day per week on average
  • Agrees to participate, to undergo randomization, and to permit inclusion of all eligible patients from the panel
  • Provides written informed consent

Patient participants:

  • Adults aged 65 to 85 years, inclusive
  • Attending a scheduled outpatient visit at a participating geriatrics or primary care clinic
  • Willing and able to provide written informed consent and, if the AI-POCUS screen is positive, to return for a confirmatory echocardiogram

Exclusion Criteria:

Provider (cluster) participants:

  • Serving in a locum tenens or other temporary capacity
  • Unwilling or unable to nominate an AI-POCUS champion from the clinic

Patient participants:

  • Echocardiogram performed within the past 5 years
  • At least moderate aortic or mitral valve disease, or left ventricular ejection fraction 50% or less, documented on any prior echocardiogram
  • History of surgical or transcatheter intervention for aortic or mitral valve disease
  • Self-reported structural heart disease
  • Significant frailty burden or comorbidities limiting life expectancy to

    1 year or less

  • Unable to provide informed consent

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Primary Purpose: Screening
  • Allocation: Randomized
  • Interventional Model: Parallel Assignment
  • Masking: Single

Arms and Interventions

Participant Group / Arm
Intervention / Treatment
Experimental: AI-POCUS Screening
Trained clinic staff perform AI-guided point-of-care ultrasound using the Kosmos Torso-One device on eligible patients during routine primary care or geriatrics visits. Patients with ≥ moderate valvular heart disease or EF ≤50% are referred for confirmatory echocardiography within 90 days.
A single AI-guided handheld POCUS examination performed by trained clinic staff (medical or certified nursing assistants) during a routine primary care or geriatrics visit. Acquisition is standardized, including parasternal long- and short-axis and apical 3- and 4-chamber views, with 2D imaging, color Doppler, M-mode of the mitral valve, and continuous-wave Doppler of the aortic and mitral valves. Images are transmitted to a central echocardiographic core laboratory, which screens for adequacy; adequate studies are analyzed by pre-specified AI algorithms based on 2017 ASE guidelines, blinded to arm assignment. A positive screen is defined as moderate or greater valvular heart disease or left ventricular ejection fraction of 50% or less. Positive results are communicated to the participant's primary care provider with a recommendation to consider confirmatory TTE; ordering remains at provider discretion, and the study team facilitates completion within 90 days of index visit.
No Intervention: Usual Care
Eligible patients receive standard provider-driven care. Echocardiography referral occurs per routine clinical indications such as auscultated murmur or patient-reported symptoms.

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
New diagnosis of structural heart disease (≥ moderate valvular heart disease or left ventricular systolic dysfunction)
Time Frame: 90 days from index clinic visit
New diagnosis of ≥ moderate aortic or mitral valvular heart disease or left ventricular systolic dysfunction (ejection fraction ≤50%), confirmed by standard transthoracic echocardiography performed within 90 days of the index clinic visit. Assessed using the disease detection rate (true positives/total number of patients in the study).
90 days from index clinic visit

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Recall Rate
Time Frame: 90 days from index clinic visit
Proportion of AI-POCUS screening studies requiring further workup, defined as total number of positive screens (true + false positives) divided by total number of patients in the study.
90 days from index clinic visit
Referrals to cardiology or cardiac surgery
Time Frame: 2 years from index clinic visit
Proportion of participants with a new referral to cardiology or cardiac surgery, ascertained through electronic health record review.
2 years from index clinic visit
Major adverse cardiac events (MACE)
Time Frame: 2 years from index clinic visit
Composite of all-cause mortality, stroke, and cardiovascular hospitalization. Deaths ascertained through EHR review and annual National Death Index query. Stroke and cardiovascular hospitalization ascertained through participant self-report at follow-up, EHR review, and primary discharge diagnoses (ICD-10-CM), with additional confirmation from regional hospital claims data.
2 years from index clinic visit

Other Outcome Measures

Outcome Measure
Measure Description
Time Frame
Downstream Processes of Care
Time Frame: 90 days from index clinic visit
Composite of additional cardiac testing (transthoracic or transesophageal echocardiography, cardiac catheterization, cardiac CT, cardiac MRI), medication initiation, and valve procedures (surgical or transcatheter aortic or mitral valve repair or replacement), ascertained via EHR review using CPT codes.
90 days from index clinic visit
AI-POCUS Adoption
Time Frame: 6 months post-implementation
Rate of AI-POCUS use among providers randomized to the intervention arm, assessed through structured clinic observations at baseline, 3 months, and 6 months post-implementation.
6 months post-implementation
Acceptability and Feasibility of AI-POCUS
Time Frame: Through study completion, estimated 2 years
Assessed through semi-structured interviews with providers, clinic staff, and patients in the intervention arm, guided by the Consolidated Framework for Implementation Research (CFIR) and Proctor's taxonomy of implementation outcomes.
Through study completion, estimated 2 years

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Estimated)

August 1, 2026

Primary Completion (Estimated)

June 1, 2028

Study Completion (Estimated)

December 1, 2028

Study Registration Dates

First Submitted

August 4, 2026

First Submitted That Met QC Criteria

August 4, 2026

First Posted (Actual)

August 10, 2026

Study Record Updates

Last Update Posted (Actual)

August 17, 2026

Last Update Submitted That Met QC Criteria

August 12, 2026

Last Verified

August 1, 2026

More Information

Terms related to this study

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

NO

IPD Plan Description

Individual participant data will not be shared at this time. The study involves vulnerable older adult populations across two clinical sites, and data sharing requires additional privacy and governance review. Data sharing may be considered upon study completion pending IRB approval and execution of appropriate data use agreements.

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

Yes

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

Subscribe