Patient Vitals
Redesigning the patient vitals dashboard on the Optimize Health platform.
Timeline
Jan 23 - Mar 23
Role
UX Lead
Responsibilities
User Research
Information Architecture
Design Ideation
Usability Testing
Key Problem
Users expressed frustration with the outdated vitals page on the legacy platform. The previous dashboard designs were confusing, challenging to understand, and lacked sufficient information. I aimed to find a solution that would provide users the crucial data they required to review patient vitals and have a holistic view into their health journey.
Project Goals
Create a robust and comprehensive data visualization of a patient’s readings
Allow users to mark new readings as reviewed and move onto the next steps in patient monitoring
Provide additional metrics that look into the patient’s overall health journey
User Research
To gain insights on users’ frustrations I conducted both qualitative and quantitative research methods to gather data. Questions were presented to participants to assess their attitudes across the following three categories:
↪︎ Workflow for checking vitals
Participants were asked about their process for checking a patient’s vitals (readings). It was a detailed workflow that required some investigation. Users had to navigate through the vitals page, checking the table for any recent readings. Despite the table providing only surface level information, it served as the user’s primary reference. Due to the lack of notifications for new readings, users needed to manually dig through numerous patients every morning and afternoon to check for any updates.
↪︎ Defining good vs. bad readings
Another topic participants were asked about was how they determined whether a reading was good or bad. The legacy platform had no way of differentiating between readings so users needed to determine the type of reading themselves. This was a big lift for them as this varied patient by patient. We determined the need for having a threshold range that defined a reading as normal, abnormal, and critical. This would not only make it clearer to users, but help them identify critical patients they needed to monitor immediately.
↪︎ Viewing the holistic health journey
Participants were asked about how they looked into a patient’s overall health journey since they’d been enrolled in the RPM program. This was a time-consuming and cumbersome task. It required digging through the patient’s EHR record, checking the vitals table for all the reading history, and investigating the time tracking tab to see what interactions were done in the past. I wanted to find a solution that automatically gave this information to the user so they could see if the patient was trending towards their health goals and on track to meeting them.
Pain Points
From my research I was able to identify the following pain points that were common among users:
1
Checking patient vitals was inefficient
Users were spending too much time looking for new readings and determining if it was a good or bad one
2
The data viz wasn’t helpful
Most of the users I spoke to said they never looked at the data visualization graph and always went straight to the table
3
No view into the health journey
There was no streamlined way to view a patient’s holistic health journey since they’d been enrolled
Making Meaning of the Data
After the research stage, I parsed through the takeaways and key findings to begin brainstorming how I could create an informative and easy-to-use patient vitals page.
I conducted several brainstorming workshops with the product team and engineers to begin mapping out the various user paths and ensure everything was being tied back to the appropriate features within the platform and edge cases were being addressed.
Low Fidelity Wireframes
I played around with a few ideas for grouping together elements and data visualizations. I wanted the information to be clear and not overwhelming. User feedback helped me validate some of these designs and I was able to narrow down my ideas from there.
Mid Fidelity Wireframes
I started introducing elements and components to the designs as well as creating complex prototypes to visualize the user flow. User feedback sessions helped me iterate on the designs and validate we were heading in the right direction.
Usability Study Findings
Throughout the project, I conducted three rounds of usability studies. The initial round assessed the functionality of the user flow and architecture. The next rounds consisted around my high-fidelity prototypes and identifying areas where the mockups needed refinement or were confusing.
Takeaways & Insights
Achievements:
Participants were satisfied with the additional insights into the patient’s health
Participants liked the data visualization and how they could easily see the patient’s averages and minimum and maximum in the period
Challenges:
52% of participants were unable to find the date picker
Some participants mentioned it wasn’t apparent they could interact with the graph and see hover tooltips
Final Designs
After going through a few cycles of design iterations and testing, the final designs were completed.
Reflection
This was one of the first projects I led at Optimize Health and was key to my growth. Having a background in data analysis played a major role for inspiration when it came to designing the dashboard page. Feedback with cross functional teams and teamwork was the key to delivering a handoff of the final designs.
1
A holistic health journey
With the additional metrics and insights, users could quickly see a patient’s overall health and if they’re meeting their goals
2
Increase in user efficiency
Users were able to spend more time on monitoring tasks rather than investigating patient readings
3
Increase in calls and messages
By streamlining the vitals, users were able to dedicate more time in calling and messaging patients and providing them with valuable care
Patient Vitals Case Study
Redesigning the patient vitals dashboard on the Optimize Health platform.
Timeline
Jan 23 - Mar 23
Role
UX Lead
Responsibilities
User Research
Information Architecture
Design Ideation
Usability Testing
Key Problem
Users expressed frustration with the outdated vitals page on the legacy platform. The previous dashboard designs were confusing, challenging to understand, and lacked sufficient information. I aimed to find a solution that would provide users the crucial data they required to review patient vitals and have a holistic view into their health journey.
Project Goals
Create a robust and comprehensive data visualization of a patient’s readings
Allow users to mark new readings as reviewed and move onto the next steps in patient monitoring
Provide additional metrics that look into the patient’s overall health journey
User Research
To gain insights on users’ frustrations I conducted both qualitative and quantitative research methods to gather data. Questions were presented to participants to assess their attitudes across the following four categories:
↪︎ Workflow for checking vitals
Participants were asked about their process for checking a patient’s vitals (readings). It was a detailed workflow that required some investigation. Users had to navigate through the vitals page, checking the table for any recent readings. Despite the table providing only surface level information, it served as the user’s primary reference. Due to the lack of notifications for new readings, users needed to manually dig through numerous patients every morning and afternoon to check for any updates.
↪︎ Defining good vs. bad readings
Another topic participants were asked about was how they determined whether a reading was good or bad. The legacy platform had no way of differentiating between readings so users needed to determine the type of reading themselves. This was a big lift for them as this varied patient by patient. We determined the need for having a threshold range that defined a reading as normal, abnormal, and critical. This would not only make it clearer to users, but help them identify critical patients they needed to monitor immediately.
↪︎Viewing the holistic health journey
Participants were asked about how they looked into a patient’s overall health journey since they’d been enrolled in the RPM program. This was a time-consuming and cumbersome task. It required digging through the patient’s EHR record, checking the vitals table for all the reading history, and investigating the time tracking tab to see what interactions were done in the past. I wanted to find a solution that automatically gave this information to the user so they could see if the patient was trending towards their health goals and on track to meeting them.
Making Meaning of the Data
After the research stage, I parsed through the takeaways and key findings to begin brainstorming how I could create an informative and easy-to-use patient vitals page.
I conducted several brainstorming workshops with the product team and engineers to begin mapping out the various user paths and ensure everything was being tied back to the appropriate features within the platform.
Low Fidelity Wireframes
I played around with a few ideas for grouping together elements and data visualizations. I wanted the information to be clear and not overwhelming. User feedback helped me validate some of these designs and I was able to narrow down my ideas from there.
Mid Fidelity Wireframes
I started introducing elements and components to the designs as well as creating complex prototypes to visualize the user flow. User feedback sessions helped me iterate on the designs and validate we were heading in the right direction.
Final Designs
After going through a few cycles of design iterations and testing, the final designs were completed.
Pain Points
From my research I was able to identify the following pain points that were common among users:
1
Checking patient vitals was inefficient
Users were spending too much time looking for new readings
2
The data viz wasn’t helpful
Most of the users I spoke to said they never looked at the data visualization graph
3
No view into the health journey
There was no overview to see a patient’s holistic health journey since they’d been enrolled
4
Good vs. Bad Readings
It was time-consuming to manually go through each reading and determine if it was good (within range) or bad (outside)
Usability Study Findings
Throughout the project, I conducted three rounds of usability studies. The initial round assessed the functionality of the user flow and architecture. The next rounds consisted around my high-fidelity prototypes and identifying areas where the mockups needed refinement or were confusing.
Takeaways & Insights
Achievements:
Participants were satisfied with the additional insights into the patient’s health
Participants liked the data visualization and how they could easily see the patient’s averages and minimum and maximum in the period
Challenges:
52% of participants were unable to find the date picker
Some participants mentioned it wasn’t apparent they could interact with the graph and see hover tooltips
Reflection
This project was was a satisfying one as I had more freedom to play around with new user flows and designs than in the main platform. In addition to this, I also had to think outside of the box to ensure the various features tied together seamlessly and effectively. Feedback with cross functional teams and teamwork was the key to delivering a handoff of the final designs.
1
A holistic health journey
With the additional metrics and insights, users could see a patient’s overall health and if they’re meeting their goals
2
Increase in user efficiency
Users were able to spend more time on monitoring tasks rather than investigating patient readings
3
Increase in patient engagment
By streamlining the vitals, users were able to dedicate more time in patient engagement and providing them with care
4
Data visualization dashboard
Through introducing data elements such as graph charts, users could see a more visual representation of their patients
Patient Vitals Case Study
This project introduced a brand new administrative tool for users to seamlessly onboard and manage customers.
Timeline
Jan 23 - Mar 23
Role
UX Lead
Responsibilities
User Research
Information Architecture
Design Ideation
Usability Testing
Key Problem
Users expressed frustration with the outdated vitals page on the legacy platform. The previous dashboard designs were confusing, challenging to understand, and lacked sufficient information. I aimed to find a solution that would provide users the crucial data they required to review patient vitals and have a holistic view into their health journey.
Making Meaning of the Data
After the research stage, I parsed through the takeaways and key findings to begin brainstorming how I could create an informative and easy-to-use patient vitals page.
I conducted several brainstorming workshops with the product team and engineers to begin mapping out the various user paths and ensure everything was being tied back to the appropriate features within the platform.
Low Fidelity Wireframes
I played around with a few ideas for grouping together elements and data visualizations. I wanted the information to be clear and not overwhelming. User feedback helped me validate some of these designs and I was able to narrow down my ideas from there.
Mid Fidelity Wireframes
I started introducing elements and components to the designs as well as creating complex prototypes to visualize the user flow. User feedback sessions helped me iterate on the designs and validate we were heading in the right direction.
Project Goals
Create a robust and comprehensive data visualization of a patient’s readings
Allow users to mark new readings as reviewed and move onto the next steps in patient monitoring
Provide additional metrics that look into the patient’s overall health journey
Pain Points
Checking patient vitals was inefficient
Users were spending too much time looking for new readings
The data viz wasn’t helpful
Most of the users I spoke to said they never looked at the data visualization graph
No view into the health journey
There was no overview to see a patient’s holistic health journey since they’d been enrolled
Good vs. bad readings
It was time-consuming to manually go through each reading and determine if it was good (within range) or bad (outside)
Reflection
This project was was a satisfying one as I had more freedom to play around with new user flows and designs than in the main platform. In addition to this, I also had to think outside of the box to ensure the various features tied together seamlessly and effectively. Feedback with cross functional teams and teamwork was the key to delivering a handoff of the final designs.
A holistic health journey
With the additional metrics and insights, users could see a patient’s overall health and if they’re meeting their goals
Increase in user efficiency
Users were able to spend more time on monitoring tasks rather than investigating patient readings
Increase in patient engagement
By streamlining the vitals, users were able to dedicate more time in patient engagement and providing them with care
Data visualization dashboard
Through introducing data elements such as graph charts, users could see a more visual representation of their patients
User Research
↪︎ Workflow for checking vitals
Participants were asked about their process for checking a patient’s vitals (readings). It was a detailed workflow that required some investigation. Users had to navigate through the vitals page, checking the table for any recent readings. Despite the table providing only surface level information, it served as the user’s primary reference. Due to the lack of notifications for new readings, users needed to manually dig through numerous patients every morning and afternoon to check for any updates.
↪ Defining good vs. bad readings
Another topic participants were asked about was how they determined whether a reading was good or bad. The legacy platform had no way of differentiating between readings so users needed to determine the type of reading themselves. This was a big lift for them as this varied patient by patient. We determined the need for having a threshold range that defined a reading as normal, abnormal, and critical. This would not only make it clearer to users, but help them identify critical patients they needed to monitor immediately.
↪︎ Viewing the holistic health journey
Participants were asked about how they looked into a patient’s overall health journey since they’d been enrolled in the RPM program. This was a time-consuming and cumbersome task. It required digging through the patient’s EHR record, checking the vitals table for all the reading history, and investigating the time tracking tab to see what interactions were done in the past. I wanted to find a solution that automatically gave this information to the user so they could see if the patient was trending towards their health goals and on track to meeting them.
Usability Study Findings
Throughout the project, I conducted three rounds of usability studies. The initial round assessed the functionality of the user flow and architecture. The next rounds consisted around my high-fidelity prototypes and identifying areas where the mockups needed refinement or were confusing.
↪ Takeaways & Insights:
Achievements:
Participants were satisfied with the additional insights into the patient’s health
Participants liked the data visualization and how they could easily see the patient’s averages and minimum and maximum in the period
Challenges:
52% of participants were unable to find the date picker
Some participants mentioned it wasn’t apparent they could interact with the graph and see hover tooltips
Final Designs
After going through a few cycles of design iterations and testing, the final designs were completed.