It's Time for a smarter ER

It’s Time for Smarter and Friendlier Emergency Departments

For patients and family members, arrival to an emergency department can be an anxiety-provoking event.  Often, those responsible for the care are distracted, potentially ignoring or discounting your needs.  In reality, the opposite is often true.  The problem, until now, there has been no effective way for emergency healthcare systems to communicate this to the people that matter the most.

Instead, when arriving to an emergency department, patients should be directly connected to hub of vital care process information.  Creating an easy-to-use, yet powerful mobile application would provide this direct interface to the healthcare system. Patients will now be informed about what steps are being taken for care, who is on the care team and provided targeted informational materials.

It is time for smarter and friendlier emergency departments.

It’s time for transparency and patient-level control. Patients are yearning for it, they expect it and medical systems are looking for ways to meet their expectations.  That’s why I decided to build a solution.

Designed by the frontline, navigatER was built to address our patient’s needs. Through a unique partnership with cliexa, navigatER harnesses the power of digital health to drive patient outcomes in real-time.

navigatER provides a backstage pass for patients accessing emergency health care services. Learn more about this exciting new solution:

The power of remote patient monitoring

There is limited data comparing remote post-discharge patient treatment to that of standard in-person care, but a new clinical trial has done exactly that.

This multicenter randomized control trial measured safety events, medication adjustment and left ventricular reverse remodeling outcomes.  The subjects were low-risk patients with acute myocardial infarction treated for 6 months after discharge by a centralized nurse practitioner–led telehealth program compared with standard in-person care by a cardiologist. There were no differences in achieved medication doses or indices of left ventricular remodeling.

This clinical trial set out to answer an important question for healthcare in a COVID and post-COVID landscape:

“Is remote post-discharge treatment of low-risk patients with acute myocardial infarction by a centralized nurse clinician team under physician supervision feasible and safe?”

The answer is: Absolutely. In fact, it’s both safe and effective.

What’s next?

Researchers now want to conduct a similar clinical trial with higher-risk patients, in an effort to further test the capabilities of remote intensive patient management and care. Read this impactful new study here:

Remote Postdischarge Treatment of Patients With Acute Myocardial Infarction via JAMA Cardiology

The future is here:

cliexa-PULSE Home Health Monitoring Platform co-developed by cliexa and American College of Cardiology

“Imagine the ability to effectively capture RPM in the cardiology’s major disease states – HTN, CHF, CAD, and AFib in an easy-to-use-tool without all the data overload: Enter cliexa!” Dr. Andrew M. Freeman, MD – Director of Clinical Cardiology and Operations Director Cardiovascular Prevention & Wellness at National Jewish Health

Through the ACC Innovation Program with our partners at the American College of Cardiology (ACC), we have developed one of our latest modules, cliexa-PULSE to digitally transform and ultimately optimize cardiovascular care and outcomes. cliexa-PULSE is a mobile application designed for patients to track their symptoms, medications, episodes, complications and daily activity to manage Atrial Fibrillation providing real-time data to their clinicians. The expansion of cliexa-PULSE in 2021 will provide treatment tracking tools for patients with Hypertension, Congestive Heart Failure and Coronary Artery Disease, as well as launching a population health module. cliexa-PULSE is the ideal mobile app for clinicians to fully leverage patient-reported data, improving treatment decision-making and the overall patient experience. Learn more about cliexa-PULSE HERE


Clinics and hospitals have substantially reduced in-person visits to reduce potential COVID-19 exposure, the result? Telehealth solutions have become near-essential and their adoption rapidly accelerated. When we look back at the last major digital transformation for the health industry: the adoption of Electronic Medical records (EMR), digitizing the medical field comes with the intention of proficiency, but this can result in growing pains. Digital integration was implemented with the intention of reducing time and overhead connected to administrative duties and paperwork, but that shift has also resulted in one of the leading causes of physician burnout.

“As the flow of data from virtual visits, remote monitoring devices, and wearables increases, we must be sure providers don’t shoulder the cognitive burden of swiveling among even more screens and data feeds to manage patient care. It’s critical for data to be brought together on a unifying platform, where providers and staff have a “single pane” view of the patient journey. Artificial intelligence, machine learning, and voice technologies play crucial roles in reducing documentation burden by quickly filtering and surfacing the most useful and relevant data for understanding the patient story and delivering the right care.” –Ashwini Zenooz, MD

Virtual healthcare platform solutions are here to stay, but the way data is managed in these processes creates different clinical efficiency impacts. Integrating patient-reported data into actionable insights requires more than a simple digital intake platform. cliexa has created tailored workflow solutions focused on quality reporting and billing data that seamlessly integrate into EMR systems.

Over a third of medical practitioners report burnout symptoms and more than half are due to the global health crisis. Finding the right virtual health platform is harder than ever and finding one that makes life easier on patients and physicians alike is essential. This is why cliexa builds end-to end systems that improve quality of care and reduces burden on physicians. Learn more:


In a recent announcement, we teased our upcoming Adolescent Resiliency and Wellness Webinar with cliexa-OPTIONS. We are excited to announce this webinar is now live! Join Lisa Rue, PhD & Senior Advisor at cliexa, for Part I of our cliexa-OPTIONS Webinar Series featuring a discussion on assessing adolescent risk and resiliency in modern healthcare.

The Webinar Series

Part I of our cliexa-OPTIONS Webinar Series covers the impact of virtual screening tools in healthcare and how practitioners can leverage resiliency factors with their adolescent patients. More than ever, maintaining the continuum of mental health in adolescents is top priority for clinicians. Through proper utilization, digital health tools provide valuable insight into adolescents’ mindset and mental health.

In this webinar, Dr. Rue takes a deep dive into how promoting resiliency in adolescents can lead to improved mental health and prevention of risky behaviors. Our proprietary OPTIONS assessment, co-developed with the National Mental Health Institute of Colorado, quantifies this resiliency and provides clinicians a measurable insight into adolescent resiliency and wellness.

The cliexa-OPTIONS Platform

Our cliexa-OPTIONS solution assesses adolescent risk and resiliency to provide pediatric, primary, and family care practitioners a thorough view of their patient’s health. The OPTIONS Model is designed for youth and young adults and measures 6 dimensions of supportive factors through a set of 22 questions proven to increase supportive factors. With the continuum of care shifting to virtual interventions, having a digital tool to connect with adolescents in real-time is extremely important. One of our pilot site leads added onto this notion by stating, “[patients] feel safer disclosing more personal and relevant information about their mental health, sexual activity, and overall well-being.”

The modular application structure of cliexa-OPTIONS supports implementation across a wide variety of care settings. As one of our clinicians through the University of Northern Colorado shared, “when clients have the option to disclose information through a virtual platform this informs the counselor of various topics the client may feel uncomfortable bringing up in session.” We have seen great success in both family medicine practices and primary care locations, while venturing into non-clinical settings that have an immediate impact on adolescents.

Watch the Webinar

Tune in to learn more about how cliexa-OPTIONS solution assesses adolescent risk and resiliency! If you are interested in piloting cliexa-OPTIONS in your practice, Contact Us at the link provided for more information.

Click Here to register and download Part I of this Webinar Series!

Artificial Intelligence Model with UCDenver

With a team of Computer Science students from the University of Colorado Denver, cliexa built its’ first artificial intelligence software. This AI Model assesses the comparative impacts of behavioral health metrics on the risk of opioid addiction. The project is our initial AI model, contributing to our larger goal of unleashing the power of AI in healthcare.

The Senior Design Program

The Senior Design Program at the University of Colorado Denver partners with local companies to mentor students on a cumulative project for software development. Organized by Debra Parcheta and the School of Computer Science and Engineering, students in the Senior Design class use their prior learning and experiences to design and build working software for real-world problems. We’re proud to sponsor a project for the 2019-2020 academic year, which resulted in our first AI model.

The Initial Project Proposal

Tackling our first AI project was a daunting task, but we knew this would lead to opportunities across other subspecialties. Our initial brainstorming session produced the design of a convolutional neural network algorithm.  This method enables the algorithm to flag potential flareups, unplanned hospitalizations, and other risk factors. We recognized that if we could harness the power of AI to identify correlations within patient-reported data, our platform could revolutionize the personalization of healthcare.

This initial project proposal proved to be a larger concept than what was feasible in a 9-month project timeline. The idea behind this served as the driving factor in the development of our resulting AI model. We narrowed our focus on integrated pain management, where we developed something truly novel in digital health technology.

The Artificial Intelligence Model

Our team, led by Research & Development Lead, Ronald Berry III, consisted of three students: John Williams, Mengistu Shuma, and Uriah Moeller. Over the first semester, our project scope honed in on integrated pain management. After outlining technical specifications, we landed on the idea of improving the risk stratification of modern pain management to flag at-risk patients based on a myriad of behavioral and physical health assessments.

Throughout development, the students made the decision to pursue a convolutional neural network, rather than an alternative form called clustering. When the overarching architecture was decided on, the team went to work on their first-ever machine learning model. They structured the model with seven assessment inputs with an output structure of “low”, “medium,” and “high” risk for potential opioid misuse or addiction. Once the initial structure was defined, the students utilized 1,300 unique de-identified data points to test the model.

The final challenge was fine-tuning the algorithm to obtain an accurate output in relation to the Screener for Opiate Addiction in Patients with Pain (SOAPP-14). Widely used in pain management, the SOAPP-14 is the gold standard for identifying chronic pain patients’ risk of opioid addiction. Upon the final iteration, the AI model achieved a 96.3% accuracy when compared to the SOAPP-14.

Without a doubt, this project proved successful across all deliverables outline in the project specifications. While our model is accurate in comparison to the SOAPP-14, we plan to clinically validate our tool for pain management.

Applying AI in Healthcare

With a background in Computer Science, Mehmet Kazgan has a comprehensive understanding of machine learning and neural networks. This experience, in addition to his time as VP of Engineering at Aetna, establishes him as an expert in leveraging AI technology in modern healthcare as our CEO & Founder. Over the past year, Mehmet joined industry leaders to discuss the role of artificial intelligence in modern healthcare.

#AskTheCEO Podcast

Back in March, we joined the #AskTheCEO podcast with Avrohom Gottheil in a thorough conversation on how cliexa aims to implement machine learning on the Azure Marketplace. The two discuss the importance of utilizing innovative technology to stay at the forefront of patient care. With data collection and AI capabilities rapidly advancing, we hope to see this shift across healthcare.

Colorado Advanced Industries Grant

Fast forward to May, the Colorado Office of Economic Development and International Trade awarded our team the Advanced Industries Accelerator Grant with the purpose of developing a machine learning module for cardiovascular risk. The Colorado OEDIT Advanced Industries Early-Stage Capital and Retention Grant is designed to support early-stage start-ups with viable products that meet a market need and are established in Colorado. Our proposed project is to expand the cliexa-PULSE home-health monitoring platform and develop a predictive risk model for cardiovascular disease. This machine-learning algorithm would expand upon this model for opiate risk and reconfigure to analyze for risk of cardiovascular disease.

Who Would Have Thought Podcast

A few weeks ago, Robert Niichel and Sacha Heppell with SmartTab interviewed Mehmet on their podcast where they took a deep dive into the value of patient-reported data in AI models. In this episode, they discuss the value of patient-reported data and how cliexa leverages artificial intelligence (AI) in the platform. Some of the key topics include improving Crohn’s disease outcomes, patient-centered tools, data in healthcare, and the future of AI.

Featured Publication with CU Boulder’s CANLab

Most recently, our partners at the CU Boulder’s CANLab published their research on applications of AI in chronic back pain. Their focus on patients’ emotional health and its’ impacts on pain severity leverages machine learning to predict future episodes. For the full publication and more information on this fascinating research, check out our announcement!

The Future of AI in cliexa

So now what? Where are we going from here with our AI goals?

In short, the opportunities are endless. As a subspecialty agnostic platform, our long-term goals with AI will expand to other areas outside of integrated pain management. Already, partnering with the American College of Cardiology, our focus shifts to an interventional AI risk model for cardiovascular diseases. As our experience with machine learning expands, we aim to find institutional partners to enter the world of AI with. To get in touch with our team, reach out via our Contact Us page.

Our Next Steps

Although COVID-19 changes the outlook of this upcoming academic year, we are proud to sponsor another project with UCDenver. We look forward to working with our 2020-21 cohort of students on a new project exploring the workflows for claims verification.

Congratulations to John, Mengistu, and Uriah on graduating this past May and best of luck to you all on your future endeavors!