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We believe that the most impactful decisions are born from the fusion of data-driven insights, operational experience and domain-specific expertise. In a world where healthcare data can often seem chaotic, we thrive on turning that disorder into something meaningful to empower experts across the healthcare spectrum, from point of care to supply chain, to make informed decisions.
Our data analytics services focus on maximizing the value of your data. We bring decades of analytics experience working with many of the top healthcare systems and service providers, pharmaceutical and medical device companies, and with individual facilities ranging from rural and community hospitals to large academic medical centers. The Health Clarity Solutions team will work with your stakeholders to clarify your goals, develop and execute an appropriate plan of analysis, and help you to understand the results. Through qualitative and quantitative analyses, statistical rigor, and clear interpretation we provide you with actionable insights rather than just informational reports. We have experience analyzing both public and private data from a variety of administrative, billing, and clinical systems in formats ranging from raw text files to complex relational databases including SQL Server, Snowflake, Oracle, Netezza, and Teradata.
We do not have a one-size fits all approach. Health Clarity Solutions engagements are client-centric, and we emphasize close collaboration with your stakeholders to understand your business requirements and craft solutions for those needs. We are your partner for customized research projects or bespoke predictive models when they are appropriate to the need. Our strength lies in combining innovative methodologies with a profound understanding of healthcare data to provide economical and targeted solutions that result in tangible outcomes.
Our team has deep experience in healthcare technology operationalization and implementation science. We are staunch believers that only with the effective integration of people, processes, and technology can we achieve the promise of AI/ML algorithms in a healthcare setting. The impact of any clinical decision support technology is strongly dependent on how well it is integrated into clinical workflow. This includes how and when information is conveyed to the end-user, and how that information is incorporated into operational practice, team communication, and decision making. We are proud of our track record deploying clinical decision support algorithms within a range of software platforms across a wide variety of healthcare organizations and settings in ways that achieved measurable process and outcomes improvements.
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Joe is an accomplished healthcare executive with a track-record of bringing innovative technologies to market and helping client organizations develop and execute digital health strategies. A common thread throughout his career is a passion for translational data science – the “bench to bedside” operationalization of evidence-based insights and data driven technologies.
Joe has extensive experience in health informatics research, including predictive model development, clinical trial design, and process and outcomes improvement. He has published widely and received research awards from the American Medical Informatics Association, the Society of Critical Care Medicine, and the Journal of Biomedical Informatics. He worked closely with the FDA on one of the first real-world evidence supported regulatory clearances for AI/ML software used in predicting patient deterioration. Joe has led US and European federal grant projects, most recently as co-principal investigator on a contract from the US Department of Health and Human Services Biomedical Advanced Research and Development Authority to develop and deploy an Emergency Department triage tool.
In a prior role as CEO of PeraHealth, Joe expanded the company’s focus to encompass health care delivery challenges across the care continuum, including in sub-acute and home health environments and he oversaw the transformation of the company’s analytics service offerings in these areas. Following the acquisition of PeraHealth by Spacelabs Healthcare, Joe led Spacelab’s data science and analytics strategy, spear-heading the company’s digital health and analytics roadmap. Joe is a long-time proponent of the concept of augmented intelligence in healthcare – the operationalization of innovative AI/ML technologies which can both enhance the effectiveness and improve the experience of clinical care providers.
Kathy is a clinical informaticist, data scientist and healthcare technologist with over 25 years of experience conducting healthcare research and performance improvement initiatives.
She has a passion to transform healthcare through data-driven care redesign and a diverse background enabling her to balance innovative strategy with rigorous scientific methodologies to create fit-for-purpose solutions.
She has extensive experience leading data-driven projects for pharmaceutical, biotech, medical device companies, health service providers as well as specialty societies and government agencies. Her work includes both traditional and innovative study designs across a wide range of topics and clinical areas and has resulted in more than 100 peer-reviewed publications and/or presentations in scientific journals and conferences.
Kathy has extensive data collection and linkage experience across many types of healthcare datasets including two used by the U.S. Food and Drug Administration, for which she was a subject matter expert. In a prior role with Premier, Inc., she served as data expert and lead scientist for an innovative pay-for-performance demonstration project with the Centers for Medicare & Medicaid Services. More recently she has led a range of data science, analytics and clinical technology initiatives for effective development and deployment of clinical decision support technology.