Disease Surveillance Monitoring and Reacting to Outbreaks (like Ebola) with an Enterprise Data Warehouse презентация

Disease Surveillance Monitoring and Reacting to Outbreaks (like Ebola) with an Enterprise Data Warehouse Dale Sanders Senior VP

Disease Surveillance in Healthcare You don’t have to look much past today’s headlines to understand the importance of disease surveillance among healthcare providers. Here’s a summary of the current options available for monitoring healthcare data that could help identify disease outbreaks.

Data Quality and Data Profiles One of the key concepts underlying the discussion is data quality. Poor data quality translates into poor outcomes for decision-making, imprecise decision-making, and imprecise responses to a situation.

Data Quality and Data Profiles The higher your data quality, the more precise your understanding of the situation at hand, and the more precise your decisions and reaction can be to a situation. Just like photographs of a higher resolution show more granular detail, data “completeness” shows more detail and is critical to the patient diagnosis and treatment.

Data Quality and Data Profiles Data “Validity” is a little more difficult to describe, but in short, it relates to the context of the situation in which accurate data is collected. It assumes the treatment team is inputting accurate data into the system. It also depends on the timeliness of the data.

Data Quality and Data Profiles In addition to Data Quality, the other key concept is the notion of a “Data Profile” for a patient and disease type. A simple data profile for a patient is pretty straightforward—name, gender, age, height, weight, address—those are the basics of a first pass at a data profile.

Data Quality and Data Profiles Diseases also have a data profile, based upon commonly acknowledged symptoms and, hopefully, very discrete lab results or other diagnostics, such as those from imaging. Using a set of Boolean logical determinations, based on complete and valid data, we can immediately see opportunities for computer-assisted treatment decision-making.

Data Profile Alert Engine Every healthcare system in the U.S. should possess a generalized data-profile-alerting engine, fed by an enterprise data warehouse, that could also feed analytic output to the EHR at the point of care, as well as any number of other downstream data consumers, such as state and federal governments.

Data Profile Alert Engine Diagram of Conceptual Architecture:

Disease Surveillance in the Near-Term Option 1

Disease Surveillance in the Near-Term Option 2

Disease Surveillance in the Near-Term Option 3

Conclusion Disease Surveillance Needs a Data Warehouse

More about this topic The Power of Maps to Improve Predictive Analytics in Healthcare David Crockett, PhD, Senior Director of Research and Predictive Analytics Defining Predictive Analytics in Healthcare A primer on predictive analytics and what it means for healthcare Predictive Analytics: It’s the Intervention That Matters (webinar, slides, or transcript) Dale Sanders, Senior Vice President and David Crockett, PhD, Senior Director of Research and Predictive Analytics Three Problems with Comparative Analytics, Predictive Analytics, and NLP Dale Sanders, Senior Vice President In Healthcare Predictive Analytics, Big Data is Sometimes a Big Mess David K. Crockett, Ph.D., Senior Director of Research and Predictive Analytics

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