SBIR/STTR Research Award

A Smart Simulator for Metrics-based Cannulation Skills Training for Hemodialysis

Award identifier 34b5d78d6d03b94b51ce627cd3dfee50ceb4cb4ba8b0be9696fc3084064d718bAwarding agency Department of Health and Human Services · National Institutes of Health

Award amount

$312,088

Program and phase

SBIR · Phase I

Award year

2023

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Award details

Awarding agency
Department of Health and Human Services
Branch
National Institutes of Health
Recipient company
Sojourn MedTech LLC
Proposal award date
2023-09-15
Contract end date
2024-09-14
UEI
WZJPAQQF5LX8
Solicitation number
PA22-176
Topic code
400

Research abstract

Project Summary About 750,000 Americans and approx. 4.5 million patients worldwide have End-Stage Renal Disease (ESRD)1– 3. Aging population as well as rise in ESRD-related comorbidities are key factors in the anticipated rate of increase in patients with ESRD4. One of the primary causes for this high morbidity and mortality are the complications associated with maintaining a functioning vascular access5–7. An important and potentially avoidable complication is injury to the arteriovenous fistula (AVF) at the time of cannulation, which is performed in the dialysis clinics three times per week for patients on hemodialysis8. During cannulation needles can be inserted in such a way that the fistula or graft vessel wall is perforated causing an “infiltration”11, potentially resulting in a patient not being able to dialyze or even losing the vascular access. As such, the current state of cannulation has been dubbed the “Achilles Heel” of vascular access in ESKD. Due to high industry turnover, lack of proficiency assessment tools, and, most importantly, a lack of effective training tools, expertise and proficiency varies among workers performing cannulation. Many training tools exist, such as “low-tech mannikins (e.g. “fake arms”), ultrasound-compatible models (e.g. Blue Phantom Vascular Access), and “high- tech” simulators. The problems with available tools include: 1) no currently available effective trainers that are specific hemodialysis cannulation, 2) lack of realism in current simulators diminishes their educational value, and 3) absence of metrics for skill assessment and training. Sojourn MedTech is developing the CanSim simulator, a smart, personalized, and dialysis-specific trainer for learning cannulation skills that are critical for dialysis nurses and patient care technicians (PCTs). The need for this hardware and software integrated device arises from the large number of routine cannulation injuries (and resultant complications) that occur daily in clinics across the country. CanSim will not only substantially improve patient outcomes, it will also enable a more confident dialysis workforce as well as positively impact patient experience. CanSim technology is based on more than seven years of extensive research on the original prototype(s) of the device15–17, with data from rt80 novice and experienced cannulators. Results for various studies have resulted in validated metrics for quantifying cannulation skill18–21 using simulation models and motivate the design and testing of the commercial CanSim devices— the objective of this STTR Phase 1 proposal. The primary features of the CanSim are as follows: 1. Dialysis-specific, 2. Realistic and low-maintenance design, and 3. Metrics-based personalized feedback. During Phase I, we will complete the following aims: 1) We will engineer and refine key components of our hardware (and associated firmware) to be integrated into the first CanSim commercial products and 2) We will create and test a model for assessing quality of a user’s cannulation attempts on the simulator via objective metrics. Results will provide the basis for a full assessment of the CamSim commercial product in Phase II.

Technology keywords

Not reported

Other awards by this recipient

Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.

Awards with the same topic code

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Research funding history

2 SBIR/STTR records share this UEI (2023–2025). Reported award amounts total $661,947. Reported amounts are not federal obligations.

Phases: Phase I

Agencies: Department of Health and Human Services

Agency intelligence

Department of Health and Human Services

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