Flexible Analytics

With the release of the new Circumstances of Admission field we are very excited to also release a completely updated Analytics section. The older analytics section was nice but frankly kind-of rigid. It didn’t allow users to modify or tweak the graphs in order to see the information they wanted. In the updated Analytics section, all that changes. Our motivation for a new Analytics section was to answer the question:

Can the analytics be flexible enough to allow users to discover answers to their own questions?”

ps: we think the answer is yes

The Five Ws

The Analytics section has been organized around the Five Ws (Who, What, Where, When and Why). Additionally, all the filters that you can apply are designed to adjust the Five Ws so that you can narrow down the data into only what you want.

Patients (Who)

The Patients sections is all about who your patients are. Such as, what are your most prevalent patients by common name, how many patients were in your care, how many species have been admitted and a whole lot more. There are pages summarizing your patients by many different taxa categories such as, common name, taxonomic class, biological group and endemic status. There are also pages summarizing your patients by many demographic and health indicators such as age, sex, attitude, body condition, dehydration and mucus membranes. The details of each category can be viewed to see their changes in over time. There is also a taxonomy tree map to visualize your patients grouped by their taxonomic ranks.

Origin (Where)

The Origin section is all about where your patients are found at. You can see the most prevalent cities and states you receive patients from and there is now a map page that plots where your patients are found at. The map will cluster patients together within a close geographic area to help you visualize groups.

Circumstances of Admission (Why)

Perhaps the most exciting section is Circumstances of Admission; ie why are your patients brought to your hospital. There is an overview of your patients most frequent circumstances of admission and all your circumstances of admission grouped by their the root circumstance. You can also see the totals of each circumstance of admission as well as the percent of each circumstance of admission compared to each other. And of course, circumstances of admission over time to illustrate their fluctuations seasonally. And, after popular request, there is now a survival rate for each circumstance of admission including their first 24 hours of care compared to after the first 24 hours.

Disposition (What)

The disposition section is about what happened to your patients at the end of their care. There’s an overview page with the totals of each disposition as well as graphs illustrating when each disposition occurred. There are also specific graphs for released and transferred patients, include the type of release (or transfer) and the release (or transfer) rate of your survived patients. Of course you can see the survival rate of your patients and the percentage of each disposition. There is also a map that plots where your patients are released (or transferred) at.

Dates (When)

We’ve also greatly expanded your ability to modify the date range to render the analytics within. Not only can you change the date range but you can also compare to previous date ranges and group your data by different time frequencies; ie Day, Week, Month, Quarter, Year. (Grouping dates by bigger time frequencies is perfect when looking at data over large time periods)

Segment the Data

Analytic Segments

By default the graphs show data for all your patients, but what if you want to see analytics for a unique segment of your patients? For example, what if you only want to see data for your birds, or raptors, or perhaps all patients from a particular city, or even only patients that were poisoned? No problem!

Just click on the box labeled All Patients and choose which segment of your patients you wan to see.

Want to compare multiple segments of patients? Again no problem. You can choose up to three segments to create your graphs with.

Future Plans

In all honesty it is difficult to describe all the features and functionality of the new Analytics section, simply because of how much you can do with it. Even with this amazing release we are already planning improvements. Soon, we hope to allow you to save favorite graphs into one convenient place. We also want to create the ability to have even more specific segmentation; for example, render the charts for only “songbirds that also had an interaction with a cat”

We are very interested in any charts that you may generate at your own hospital. If there are any useful charts that you think we are missing PLEASE TELL US and share your charts with us ([email protected])! Additionally if you are not able to “discover answers to your own questions” PLEASE TELL US. There may be some tweaking that we need to do.

A Word of Caution

Looking at your analytics can be extremely fun and interesting, however I would like to express a word of caution. It is very easy to read to far into what the analytics are showing you. In other words, don’t let the analytics let you jump to conclusions. Let the analytics confirm, deny or improve your questions. If you see anomalies in the analytics that might indicate something important, or maybe just the result of bad data that needs correcting.

Other than that enjoy the new Analytics!

Circumstances Of Admission Tagging

Our First Goal: Keeping WRMD Simple

When we first conceptualized WRMD we set some very basic rules and milestones that we wanted to stick to. The first was that WRMD must be as simple as possible so that any wildlife rehabilitator could use it no matter their background or resources. Every time we make a change or add a new feature we still ask our selves “will this benefit our community of users or slow them down? ie: is this the WRMD way.”

Very soon we will be introducing a new feature in WRMD that officially takes WRMD into our second goal; benefitting from all the incredible data you collect on your patients!

Our Second Goal: Benefitting From The Data

In WRMD, you can collect information about who your patients are, where your patients come from, what condition they were in when admitted and what their final outcome was. However, although there are ways to record why a patient was found and admitted, it has always been a little bit difficult to do that. Definitely not in the “WRMD way.” In a forthcoming update, that will change. We are introducing a new field called Circumstances Of Admission that will allow you to tag your patients using predefined terms for any and all reasons the animal was brought in.

The new Circumstances Of Admission field can be found underneath the Reasons for Admission field with all the other Intake related data. Additionally, with each term you choose you can indicate if the circumstance is suspected or confirmed.

But That’s Not All!

You may be excited by this new field but also concerned that you now need to record in multiple places why your patients are admitted. Additionally you may be concerned that you need to go back and update all your past patients. If that’s how you feel then we agree with you.

In keeping with the “will this benefit our community of users or slow them down?” spirit, we wanted to make this new field as powerful as possible but also as simple as possible. With that being said, over the past year we have been developing and training a machine learning application to interpret what is written on your patient records in order to automatically tag your Circumstances Of Admission for you, so you don’t have to.

You and your users can still describe the reason for admission in regular human language. After you have admitted your patient, the Circumstances Of Admission classifier application will use the patients Common Name, Reasons For Admission, Notes About Rescue and Care By Rescuer fields to predict which Circumstances Of Admission tags best fit. You may still manually add or remove terms if needed.

Because of the automatic tagging, the Circumstances Of Admission field will be hidden by default. This way everything will appear the same and you won’t need train your volunteers or staff on the changes.

If you want to manually use the Circumstances Of Admission field, there is a setting under General WRMD Settings to show the Circumstance of Admission field.

Retroactive Tagging

As part of training and validating the Circumstances Of Admission classifier application, we have already tagged the majority of all patients admitted in WRMD over the past year and plan to retroactively tag past patients so that you don’t have to. The Circumstances Of Admission classifier application is not only a huge timesaver for you in realtime, it also has the amazing benefit of going back in time and automatically tagging your older patients. Additionally any imported patients can be automatically tagged in a matter of seconds.

It Gets Better!

With the introduction of the Circumstances Of Admission field we are also releasing a major update to the entire Analytics section of WRMD. One blog post is not enough to describe how powerful the new Analytics section is, but to give you an idea of our motivation, we want to answer the question: “Can the analytics be flexible enough to allow the user to discover answers to their own questions?”

In the new Analytics section you can see what your most frequent circumstances of admission are, what their survival rate is and how often they occur over time. To learn all about the new Analytics section read this blog post.

Thanks!

We really hope you use and appreciate the Circumstances Of Admission field. This was an important missing part of WRMD and one that we have been working long and hard on to make simple and amazing.

Just Some Foot Notes
  • The Circumstances Of Admission terms are based of the Clinical Wildlife Health Initiative terminology with some modification and additions.
  • A complete list of all the Circumstances Of Admission terms and their definitions will be made available.
  • The Circumstances Of Admission classifier application is still learning and it may occasionally make incorrect predictions. Please do your part and correct any mistakes for us and help teach the classifier.
  • We know that the data that you collect is amazing and powerful but we are not in the business of taking, selling or using that data without your permission and understanding.

Wild Hope Magazine

Hello friends! We are very excited and honored to have been featured in an article in Wild Hope Magazine.

If you are not familiar with this fantastic magazine then definitely check it out! They feature inspiring stories from around the world about preserving Earth’s biodiversity co-created by naturalists, conservationists, wildlife rehabilitators, veterinarians, biologists, ecologists, nature writers, photographers, and artists.

Our article: “Helping Hands, Wildlife Rehabilitators Around the World are Using Information Technology to Save the Lives of Our Wild Neighborscan be read online in its entirety. It shares how important WRMD is to the wildlife rehabilitation community and how valuable the wildlife rehabilitation community is to advancing One Health.

Please support Wild Hope Magazine as they continue to share field notes and images from nature’s front lines!

PS: Thank You Kathryn Arnold!