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.
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Imran Qureshi, Chief Data Science Officer, Clarify Health (Photo: Business Wire)
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 biostatistical expertise in
causal inference, longitudinal analysis, missing data, and study design.
He has worked for 16 years in pharmaceutical clinical trials and
public/population health and is a General Member of the International
Collaborative Network for N-of-1 Clinical Trials and Single-Case
Experimental Designs. 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 the Global Disease Spread Models,
validating different metrics to measure the 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.
For more information, please visit http://www.clarifyhealth.com
and follow us on twitter @ClarifyHealth.
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