Revolutionizing Dialysis Scorecards with SeeSaw Labs and Rendevor Dialysis

Rendevor is an innovative on-site dialysis solution tailored for various treatment settings, including hospitals, correctional facilities, and post-acute care centers. The effectiveness of Rendevor’s operations hinges on assessing the quality of care across different facilities through detailed data capture and analysis.

To do this, scorecards are generated based on several key metrics from multiple touchpoints throughout the patient experience. These scorecards are critical in helping executives and clinical managers make informed decisions to enhance patient care continually.

The process of creating these scorecards was slow, inefficient, and required substantial manual effort. That’s where SeeSaw Labs stepped in.

Services Provided

Product Strategy
Product UX & UI Design
Wireframes and Task Flow Map Development

Results

Digitizing the existing workflows allowed more efficient, higher quality, and more flexible data input
Higher transparency and real time results in reporting
Executives and key decision makers can view higher quality data in real-time and enable them to make data-driven decisions
Improved patient experience and quicker turnaround on tasks

The challenges

Data was captured from multiple touchpoints throughout the patient experience to assess treatment facility operations and quality of care. This data was then input into a manual system to generate scorecards. These scorecards evaluated key metrics for each facility, helping executives and clinical managers make strategic decisions.

However, this process was slow, inefficient, and required significant manual labor. The team at SeeSaw Labs needed to find a solution that could streamline this process while maintaining the high level of accuracy needed for decision-making.

The vision

SeeSaw Labs began by thoroughly evaluating the existing workflow. They needed to understand the roles and responsibilities of each person involved in the scorecard generation process and the pain points experienced at each stage. Their solution was to completely digitize this workflow, turning what was once a cumbersome manual process into a seamless digital one.

User research and personas

The first step involved extensive research to define all the touchpoints that contributed to generating a facility score. SeeSaw Labs created a journey map to capture the existing process.

They identified what data was collected, who was responsible for collecting it, and how it was input into the existing workflow.

To gain deeper insights, SeeSaw identified seven key users who either had input into or visibility over the process. They developed personas for these users, which included:

Jane

Biomedical Technician

Goals & Expectations

Provide information about the status of the machines
Gets notifications when equipment needs to be repaired

Pain Points

Sometimes can’t access certain pages
Lots of forms to fill
Not having a specific horary to do their job

Tasha

Biomedical Supervisor

Goals & Expectations

Supervise the equipment
Approve all the tech forms submitted

Pain Points

Too much paperwork

Reyna

Clinical Nurse Manager

Goals & Expectations

Fill clinical information and forms
Periodically submit processed data and information to their regional director and manager

Pain Points

Too many steps to upload a form
Sometimes don’t have access to a computer

Establish information architecture

Next, SeeSaw Labs visualized a digital workflow to generate a facility performance score. Several task scenarios were created to ensure that the new solution would accommodate all potential situations where data might need to be captured, edited, or utilized for decision-making.

Task Flow Maps

The task flow maps illustrated how data would flow through the system, ensuring it could be managed efficiently at every stage.

(Click to enlarge)

Wireframes

These wireframes accounted for various use cases, such as data input from different users at different workflow stages.

Dashboard View

A critical component was a dashboard view designed for executive-level users.

This dashboard allowed key decision-makers to monitor important information about individual facilities and make strategic decisions based on real-time data.

The impact of our work

The impact of SeeSaw Labs’ work was profound. By digitizing the process of capturing critical metrics and generating facility-based scorecards, executives and key decision-makers could now access higher-quality data in real-time.

This update increased efficiency and allowed for quicker turnaround to improve the overall patient experience.

Efficiency and Flexibility

The new digital workflow dramatically reduced the time and effort required for data input and processing, giving users greater flexibility in how and when they could input data.

Real-Time Reporting

Executives could now access real-time data, allowing faster and more informed decision-making.

Data-Driven Decisions

The new system provided a tool that allowed decision-makers to drill into specific metrics, enabling more precise and effective improvements across all facilities.

Why SeeSaw Labs

A reliable partner from beginning to launch

User research and personas

Customer journey mapping

Product mapping and architecture

Development and user testing

Launch support after completion

SeeSaw Labs successfully transformed Rendevor’s scorecard generation process, turning a slow and inefficient manual workflow into a dynamic digital system. By streamlining data collection, enhancing reporting capabilities, and enabling real-time decision-making, SeeSaw Labs helped Rendevor continue delivering exceptional care across all its facilities.

This case study showcases the power of combining technology with thoughtful design to solve complex problems and drive impactful results.

SeeSaw Labs mission is to help growing businesses implement technology and execute their strategic vision through flexible contracts and structures. By balancing strategic vision with practical execution, we help our clients save money and maximize returns.

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