|By Marketwired .||
|September 11, 2013 08:11 AM EDT||
SALT LAKE CITY, UT -- (Marketwired) -- 09/11/13 -- Analytics has long been used by retailers and in other industries to mine data and identify risks and opportunities. In healthcare, the technology promises not only to predict -- for instance, pinpointing patients at high risk for hospitalization -- but also to prescribe the most effective treatments.
To help healthcare organizations benefit from the power of analytics, Health Catalyst, the leader in healthcare data warehousing and analytics, has appointed David K. Crockett, Ph.D. as Senior Director of Research and Predictive Analytics. A recognized expert in the use of computers to predict the effects of genetic variation, Crockett will build on Health Catalyst's ability to predict patient health outcomes and enable the next level of prescriptive analytics -- the science of determining the most effective interventions to maintain health.
An Assistant Professor of Pathology at the University of Utah School of Medicine, Crockett previously was Scientific Director of Research Informatics at ARUP Laboratories, a national clinical and anatomic pathology reference laboratory operated by the university. He holds patents for computer programs that predict the impact of genes on disease, and has published over 50 articles, cited nearly 900 times, on bioinformatics, biomarker discovery, immunology, molecular oncology, genomics and proteomics.
Crockett holds a BA in molecular biology and genetics from Brigham Young University, and a Ph.D. in biomedical informatics from the University of Utah, recognized as one of the most prestigious training programs for informatics in the world.
Taking Predictive Analytics to the Next Level
Health Catalyst currently delivers predictive analytics through a growing list of applications that take advantage of the company's substantial experience developing prediction models, as well as the flexibility of the Health Catalyst Late-Binding Data Warehouse. That underlying platform is key to gathering the rich data sets from multiple source systems that are necessary for training and testing predictor algorithms. Without a data warehouse environment, healthcare organizations have no way to monitor and measure the effectiveness of predictor-intervention sets, leading to their improvement.
In the Health Catalyst model, prediction is used only when and where needed -- with clinical leaders who are willing to act on appropriate intervention measures. A recent blog post by Crockett addresses the power of predictive analytics but also the importance of having the proper infrastructure, staffing and resources to act when something is predicted to happen.
Sept. 24 Webinar on Predictive Analytics: "It's the Intervention That Matters"
Crockett will join Dale Sanders (@drsanders), Health Catalyst Senior Vice President of Strategy, in co-leading a webinar on the challenges and opportunities of predictive and prescriptive analytics for healthcare organizations. The webinar (1:00 pm EDT on Sept. 24) will provide attendees with the detailed knowledge they need to make informed decisions about vendors and strategies related to predictive analytics in healthcare, separating hype from reality.
Sanders and Crockett will provide a history of predictive analytics, including its use in other industries such as retail, military, national intelligence, and weather forecasting -- offering lessons learned that will be invaluable to healthcare. In particular, they will focus on the importance of combining predictive analytics with strategies to act upon and intervene when the predictive models indicate an at-risk patient or population of patients. Predictive analytics are of no value, and can actually expose the organization to higher risk, if implemented without cultural willingness and organizational processes for intervening when risk is indicated.
Register for the webinar here.
"Analytics has to do more than predict. It should prescribe the right interventions to improve care."
- Dan Burton, CEO, Health Catalyst
"Analytics can help manage the growing complexity of healthcare by predicting behaviors and outcomes, enabling organizations to focus resources where they'll have the biggest impact. David Crockett's years of research on the development and use of predictive analytics in medicine make him the ideal choice to take our analytics applications to the next level. That is already setting the ground for the next wave of prescriptive analytics, which our clients are using today to identify and deploy the most effective health interventions."
- Dan Burton, CEO, Health Catalyst
"Many companies claim to provide predictive analytics but if you can't take action on the predicted outcomes, what good is it? Clinicians need actionable steps to intervene in a meaningful way, which in turn requires the cultural willingness and processes to intervene. If you know that a patient has a high probability of readmission, will you spend money now to save money later by sending a clinician to their home to check on them? Those are the kind of questions organizations will need to answer if they want to take advantage of predictive analytics."
- Dale Sanders, Senior Vice President of Strategy, Health Catalyst @drsanders
"I am very excited to be joining the nation's clear front runner in healthcare data warehousing and clinical analytics. There is a tremendous need for healthcare organizations worldwide to identify and deploy new efficiencies in patient care and operations. Predictive and prescriptive analytics will help make precision medicine the new reality."
- David K. Crockett, Ph.D., Senior Director of Research and Predictive Analytics, Health Catalyst
Multi-media photos of David Crockett, Ph.D. may be downloaded at
About Health Catalyst
Based in Salt Lake City, Health Catalyst delivers a proven, Late-binding Data Warehousing platform that actually works in today's transforming healthcare environment. Currently, nearly 100 hospitals caring for over 20 million patients utilize Health Catalyst's platform and solutions. Founded by healthcare veterans who developed their solution after struggling for years to try to make non-healthcare data warehousing solutions work, the Health Catalyst data warehouse utilizes an adaptive approach designed specifically to address the complex nature of healthcare data. Health Catalyst's proven solutions are deployed at leading health systems including Allina Health, Indiana University Health, MultiCare Health System, North Memorial Health Care, Providence Health & Services, Stanford Hospital & Clinics, and Texas Children's Hospital. Visit www.healthcatalyst.com, and follow us on Twitter, LinkedIn and Facebook.
For more information contact:
Amendola Communications for Health Catalyst