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NxStage Medical
Overview
During my first co-op, I worked at NxStage Medical in Lawrence, MA, a company dedicated to developing dialysis machines for both at-home and critical care applications. As a part of the systems team at NxStage, I worked on a prototypical dialysis machine seeking to improve the quality and range of treatments available to patients. This prototype utilized innovative methods of monitoring and control of system performance and I can't wait to see what impact the final product will have on patients' lives.
While at NxStage, I performed fluid lab testing and analyzed pressure graph data in order to investigate the effects of different flow paths and systems control variables.
Role
Systems Engineer
Team
7 engineers
Course
Co-op #1
Duration
Jul. - Dec. 2021
Problem
Developing a next-generation critical care dialysis machine involves a lot of federal health and safety regulations. In order to meet these requirements, dialysis machines must minimize unprescribed weight shift during treatment, with the industry standard being no more than +/- 1.667mL/min.
During my time at NxStage, the main focus of my work was minimizing fluid shift. This included:
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Designing tests to investigate the effects of various systems control variables on the pressure waves generated during treatment.
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Analyzing data and providing suggestions to upper management.
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Solving engineering problems that arise during testing and troubleshooting system errors.
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Creating new flow paths to increase system robustness and reliability.
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Redesigning the pre-treatment calibration sequence to fit a new flow path.
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Assisting in designing and leading system testing to demonstrate interoperability with another team's prototype.
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Writing startup and testing SOP's and initial prototype documentation for onboarding new full-time engineers.
Action
While working on this machine, I conducted fluid lab testing to establish baselines and investigate the effects of various systems control variables on the pressures to improve efficiency and reliability. Understanding how different variables affect the waveform help us predict how the treatment will behave and how we can compensate for it. This involved designing flow paths and testing setups, machine troubleshooting, and rigorous testing procedures. Throughout my co-op, the prototype underwent substantial changes, each greatly increasing its performance and robustness.
One of the key steps we took in the design process of the machine was the development of a new pre-treatment calibration sequence. Much had changed in our flow path since my co-op had started, and the calibration sequence became outdated. This involved reassigning calibration target sensors, breaking down the planned steps, then outlining the actions that needed to occur at each step. We drafted an initial procedure and performed each step manually, recording trends and making adjustments to the procedure as needed. Once we were getting consistent improvement in the key metric, we then automated the new calibration sequence, resulting in a 75% reduction in observable error.
Another important component was to demonstrate interoperability with another team's prototype, as the two systems are meant to work together in the final product. To achieve this, I collaborated with the other team's engineers in connecting our systems and designing tests that would demonstrate their compatibility as well as their ability to compensate for any changes on either end. We successfully solved the errors that arose and showed that the systems were interoperable.
Result
Over the course of this co-op, we took this project through a vast array of changes. Changes in the flow path, testing setup, calibration sequence, and control algorithm have reduced the error in the key metric by over 75%, bringing the prototype significantly closer to a marketable product. The demonstrated interoperability between the two prototypes have shown that both teams are on the right track. The new documentation and testing SOP's will streamline the onboarding process for new full-time engineers, helping them to get an in-depth understanding of the system quickly. Once released, this system has the potential to dramatically decrease manufacturing and customer costs and greatly improve patients' lives.
What I Learned
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Industry standards for compliance, testing, federal regulations, and data analysis
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Systems algorithms and control
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Testing design
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How to collaborate with engineers in a professional environment
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Technical writing
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Clear, concise communication
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