CQL Learning Series: Download five free lectures now!
Clinical Quality Language (CQL) is healthcare IT’s hottest trend, and it isn’t going away anytime soon. The expression language is transforming the entire healthcare landscape, from clinical care delivery to quality improvement to back-office automation, for payers and providers alike.
Healthcare quality, performance, network, IT and strategy leaders who are curious and/or ready to put CQL into action at their organizations are invited to join healthcare informatics experts for a CQL learning series consisting of five 30-minute virtual courses. The online courses will explore how the healthcare industry is leveraging CQL to transform electronic clinical quality measurement, clinical pathways, clinical decisions support and more. Attend as many lectures as you’re able or interested in attending. While the topics build progressively, the individual lectures are developed to stand on their own as well.
For details and access to download the individual lecture recordings, choose the topics below.
Dr. Burton is Apervita’s Vice President of Clinical Informatics leading innovation efforts and industry knowledge architecture activities with key Apervita partner institutions. He is also an Assistant Professor of Biomedical Informatics at Mayo Clinic and has served as the Lead Clinical Informatician for the Applied Clinical Informatics Program. He has taught graduate level courses, most recently as an Associate Research Professor of Biomedical Informatics at Arizona State University.
He completed a three-year National Library of Medicine postdoctoral fellowship in Medical Informatics at Regenstrief Institute and remained on faculty until joining Mayo Clinic. He has vast experience in informatics capabilities to support quality initiatives, including serving with the Indiana Health Information Exchange’s Quality Health First program. He has also served as a Director of Medical Informatics for IU Health Quality Partners.
Dr. Burton completed his NLM Postdoctoral Fellowship at Regenstrief/Indiana University-Purdue University, received his MD from the University of Michigan, and his BS in chemistry, biochemistry, and molecular biology Summa Cum Laude from Purdue University.
Dr. Blackford Middleton is the Chief Informatics and Innovation Officer at Apervita, Inc. He is also an adjunct faculty member at the Stanford University Medical Center Clinical Excellence Research Center. Previously, he was a professor of Biomedical Informatics, and/or of Medicine, at Stanford, Harvard, and Vanderbilt Universities, and he held executive leadership roles at MedicaLogic/ Medscape, Partners Healthcare System, and at Vanderbilt. Dr. Middleton’s work is focused on clinical informatics—the applied science surrounding strategy, design, implementation, and evaluation of clinical information systems in complex environments. He was PI for the AHRQ-funded CDS Consortium, and the ONC-funded Advancing CDS projects among many other R&D efforts in CDS. Currently, he is chair of the AHRQ-Funded Patient-Centered Clinical Decision Support Learning Network.
Bryn Rhodes is a key contributor and Subject Matter Expert in the Clinical Quality Framework Initiative, primarily involved with the development and support of the Clinical Quality Language Specification. His expertise in Clinical Decision Support stems from implementation experience building a real-time Clinical Decision Support system for an industry leading Electronic Health Records system.
With 20 years in software development, he has a broad range of implementation experience, from desktop client/server line-of-business and medical applications to enterprise and web-scale information systems. His career has focused on the expression and implementation of logic systems, from simple printer-command and build automation interpreters, through full-scale database query compilers and 4GL interface engines. This focus brings a unique and important perspective to bear on the problem of accurate and automatable sharing of clinical quality logic as expressed in knowledge artifacts for Clinical Decision Support and Clinical Quality Measurement.
Dr. Sottara got his MSc Degree (2006) and his PhD (2010) in Computer Science, Electronics and Telecommunications from the University of Bologna.
Since 2006, he has been working on the development of intelligent DSSs in the environmental and clinical field. He is a member of the Drools Community, contributing to the core engine research and development, as well as leading an experimental sub-project on the support of various forms of non boolean reasoning.
He is currently an Assistant Professor at the Department of Biomedical Informatics at Arizona State University in Scottsdale (AZ), where he works on knowledge representation and reasoning techniques for clinical decision support.