Westmed Improves Customer Experience by Connecting Key Apps with Azuqua

Use Case Overview 

When key information is added to a patient’s Electronic Medical Record (EMR), Azuqua sends it to a heart disease risk calculator.

Westmed Medical Group is an award-winning multispecialty medical practice, staffed by a team of 500 top physicians and advanced care providers, and 1,200+ clinical employees who are all dedicated to partnering with patients.

Location: Purchase, New York
Founded: 1996
Employees: 1001-5000
Industry: Health Care
Website: http://www.westmedgroup.com

“Connectivity and APIs are just starting to take off in healthcare. It’s great to be able to customize our EMR in this way. This solution may not have been possible without Azuqua.”

– Anne Garrity
RN-Clinical Process Project Manager, Westmed

Key Benefits


Better Patient Interaction

By eliminating the need to manually calculate a cardiovascular risk score during an appointment, doctors can spend more time connecting with patients.

Improved Compliance

By automating the process, teams can easily and accurately assess compliance rates with the American Heart Association’s guidelines and map those practices to patient outcomes in the future.

Automated Treatment

Moving forward, the team can work to create more automations that help guide doctors through recommended treatments based on the risk score results.

In 2013, the American Heart Association published new guidelines for calculating the risk of heart disease or stroke. It also recommended that all individuals between the ages of 40-79 be assessed on a regular basis. Unfortunately, adoption of these guidelines has been sporadic throughout the industry because modifying existing practitioner workflows to incorporate this new process can be challenging.

When evaluating its patient base, William Saint-Louis, Director of Information Systems at Westmed, found that only a small number of patients had the recommended atherosclerotic cardiovascular disease (ASCVD) risk score documented in their Electronic Medical Record (EMR) chart. Calculating this score required a series of onerous, manual steps, and the algorithm was complicated. To compensate, doctors that were doing the assessment found external websites that provided ASCVD risk calculators. They would copy and paste the relevant patient data into the calculator andthen take the final results and input it back into the patient’s EMR.


William and the RN-Clinical Process Project Manager, Anne Garrity, realized that they needed to eliminate this fractured and error-prone process. The team used Azuqua to create a custom connector for the group’s EMR system and to build a microservice that contained the risk factor calculation algorithm. The two were then connected and the team worked with the clinical staff to automate a workflow that met the needs of the doctors. Once relevant fields were completed within a patient’s EMR, a doctor could click a button and the data would automatically flow to the risk calculator and then back, returning the final scoring to the EMR.


This automated workflow eliminated the need for doctors to independently calculate risk scores. Not only does this save time, but it allows doctors to better interact with patients. Furthermore, with all the data automated, staff can more easily assess compliance rates and better map patient outcomes. Moving forward, Westmed can create new automations that help with recommended treatment options and more.