March 28 2019

Clarify Health Names Imran Qureshi Chief Data Science Officer

Clarify’s data science bench welcomes industry vet and four additional PhDs.

SAN FRANCISCO, CA – March 28, 2019 /BUSINESS WIRE/ – Clarify Health Solutions, Inc., a pioneer in machine learning-enabled care optimization, announced today Imran Qureshi has joined the company as their chief data science officer. In this role, Qureshi will lead the company’s data science strategy and applications, overseeing the statistical methodologies and modeling that powers the Company’s real-time care optimization platform. Clarify’s extensive longitudinal, patient-level dataset underpins the industry-leading analytics used to provide precise and actionable insights to physicians, payers, and life sciences organizations.

Qureshi joins Clarify from Health Catalyst, where as chief software development officer, he oversaw development of the data platform, machine learning, and products. During his tenure at Health Catalyst, Qureshi was also responsible for leading the engineering team that built the Data Operating System (DOS). Prior to Health Catalyst, Qureshi held roles such as CTO of Acupera, a care coordination platform for clinical and socio-behavioral care and VP of Engineering at CareAnyware, the largest SaaS provider to home health care and hospice agencies. With over 25 years of experience, Qureshi has a proven track record for building scalable analytics solutions that deliver improved health outcomes.

“From the start, Clarify has focused on building a foundational, longitudinal patient dataset. Sourcing, integrating, and matching de-identified patient data in today’s healthcare system is costly and challenging, but is essential to understanding the patient care journey,” said Todd Gottula, co-founder and Chief Product Officer, Clarify Health. “We have successfully adapted the latest advances in financial services data linkage, ledger management, and security to unlock of new set of potential care optimization insights. We welcome the deep knowledge and experience Imran brings to Clarify. We look forward to his leadership as we accelerate our pace of innovation.”

“A critical challenge healthcare faces today is the ability to make data actionable. Linking disparate data sources and applying advanced machine learning to extract relevant insights are two critical capabilities for making data actionable. I am thrilled to join the Clarify team to continue to build upon their superior machine learning foundation,” said Qureshi. “I am energized by the impact the Clarify platform has delivered through its insights and how they empower customers to make critical workflow and behavioral changes to guide patients to the highest-quality, most cost-effective facilities, physicians, and interventions.”

Clarify also welcomes Hilary Placzek, PhD, MPH as Director of Data Science. In her role, Dr. Placzek will focus on the integration and interpretation of social and behavioral determinants of health (SDBoH) in predictive modeling. A research epidemiologist by training, Dr. Placzek has been involved in applied public health for 15 years. Her work has been presented nationally and published in journals such as the American Journal of Public Health, PLoS Medicine, and New England Journal of Medicine Catalyst. She is an affiliate member of Atul Gawande’s Ariadne Labs in Cambridge, MA, and her methodological training includes Harvard Medical School, Massachusetts Department of Public Health, University of Massachusetts Medical School, and Boston University School of Public Health.

“I’m inspired by the work the data science team has done in exploring how to incorporate patient- and aggregate-level social and behavioral determinants of health in Clarify’s predictive models,” said Dr. Placzek. “I look forward to working with the team to build on this foundation to enable the company to serve our customers in new ways, including providing industry-leading analysis on the impacts SDBoH have on health outcomes.”

In addition to Qureshi and Placzek, Clarify welcomes three new data science team members, Eric J. Daza, DrPH, MPS, Roza Vazin, PhD, MPH, and Volodymyr Serhiyenko, PhD.

Dr. Daza brings expertise in causal inference and longitudinal analysis. He created and leads the Causes and Associations in Single-Individual Analysis (CASIA) Project for individualized discovery of health-related causes and effects using machine learning and data from wearable devices, sensors, and apps. Dr. Vazin brings a wealth of research experience in health services, health policy, quality of care, care coordination and health IT. Dr. Vazin has worked on numerous longitudinal statewide evaluations examining inpatient and emergency department utilization and quality of care using statewide administrative and EHR data. Prior to Clarify, Dr. Serhiyenko worked on Epidemiological Research at Metabiota, where he focused on developing  Global Disease Spread Models, validating different metrics to measure country’s preparedness for epidemics, and creating a Sentiment Index to assess population reaction towards outbreaks of different pathogens.

About Clarify Health
Clarify Health provides the breakthrough technology and analytics platform to personalize and optimize patient care journeys. Our purpose-built solutions – developed by a world-class team which brings together data scientists and engineers from the financial services industry’s leading cloud-based analytics platform, top clinical operations experts, and logistics specialists – are transforming healthcare processes and workflows. By more precisely illuminating complex patient cohorts and the drivers of healthcare costs, quality, and outcomes, Clarify Health delivers actionable insights that enable clients to proactively guide patients and their caregivers through more efficient care journeys and clinical trials. Our scalable platform seamlessly integrates large datasets, machine learning analytics, and real-time patient navigation capabilities, empowering physicians, health systems, payers, and life sciences organizations to deliver better care today and evolve so that they are positioned to thrive in the emerging value-based world.

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