The Self Care Decisions team has worked together for more than 20 years – creating effective software platforms to deliver useful decision-support content and patient education to consumers.

In 2010, Self Care Decisions launched our first mobile app – SymptomMD. It was the first consumer symptom-checking application on the app marketplace. A pediatric version, Pediatric SymptomMD, followed on its heels. Within months, we received requests from several health systems and the American Academy of Pediatrics to create similar white-labeled apps, branded with their organizations’ logo, color palette and fulfillment options. As these apps grew in popularity, the word spread. In the following years, we developed many more apps and added greater functionality with each build.

We saw the opportunity to expand beyond our symptom-checking base, but didn’t want to become a development-shop for hire. It’s only with focus that a company builds expertise and sustainability. To keep up with the demand for website and mobile apps, we created two platforms:

AppFactory for mobile-first, website applications. The platform supports each step of applying your brand and then mapping each clinical outcome to your facilities and services. Most web applications can be implemented in 30 to 60 minutes. The display is built for the smallest screens first, so it shows beautifully on mobile devices, tablets and desktops.

CareCatalyst platform for native mobile apps. This platform manages all aspects of mobile app design, from the main menu to location and service contact screens.

Isabel is the leading differential diagnosis generation tool trusted by hundreds of institutions and thousands of clinicians every day. The DDx Companion covers over 10,000 conditions, all ages and specialties and delivers an accurate differential in less than 90 seconds!

Isabel’s unique AI technology based on machine learning, means that a list of likely diseases can be instantly generated using just the presenting clinical features and without having to answer endless questions.

The most important aspect of Isabel’s technology is how well it was trained over 22 years using evidenced-based knowledge and feedback from practicing clinicians about how diseases present. This training is underpinned with a continual validation process and enables Isabel to suggest the correct disease in the top ten differential with 96% accuracy!

Isabel Healthcare Inc. was founded in 2000 by Jason Maude and is named after Maude’s daughter who almost died after a potentially fatal illness was not recognized. The Isabel engine is the only AI system utilizing Curated Machine Learning and true Natural Language input. Isabel is recognized as the broadest, most accurate tool available for both clinicians and consumers. Isabel Professional is used by clinicians worldwide to build and broaden their differential and improve diagnosis performance of frontline clinicians. The Isabel Symptom Checker/Care Direction patient engagement platform can be integrated into various patient experience workflows (patient portals, home pages, apps, chat/voice, etc.) creating the digital “front door” for patients.