Day Two from the HDWA Conference
Dr. Charles M. Watts, senior vice president of medical affairs at Northwestern Memorial Foundation, presented an overview of Karl Weick’s high-reliability organization principles in relation to healthcare. Among his key points was an importance to focus on failure in order to ensure safety. He stated that "Chronic wariness is the tone in a safe environment...hubris is the enemy."
Dr. Watts simplified data warehouse quality as "data quality equals completeness multiplied by validity." He provided an example of an average newborn baby weighing 32 kilograms or about 71 lbs in a healthcare system. The occurrence was attributed to inconsistent data entry with staff using kilograms and grams interchangeably. The solution was to transform the data into one unit of measurement and to ultimately correct the consistency in data entry.
Dr. Watts also demonstrated two cases of applying improvement to increase safety and reliability. The first case involved shoulder dystocia, a tremendous liability risk that occurs when a newborn is stuck in the birth canal. By instituting a simulator, a standard protocol, and a training program, the existing $20 million annual liability was successfully eliminated. The second case involved a decrease in severe adverse events even though the total number of reported adverse events actually increased. This was attributed to improvements in both safety and visibility. Dr. Watts stated "I don't think mistakes went up--reporting of mistakes became more acceptable and we should celebrate that."
Deb Batson, clinical research data warehouse architect at Children’s Hospital Denver, mentioned an example of finding married 6-year-olds. This mistake was attributed to a registration system that was prone to data entry error during hospital admissions.
The reports from Memorial Sloan-Kettering, National Institutes of Mental Health, Duke, and Ottawa differed tremendously. It would be helpful to find a better way to execute technology transfer of reports between organizations.
The folks at Intermountain built an amazing tool for improving labor costs using Cognos as well as a meta-report search engine. The engine allowed users to browse and launch reports from multiple BI tools using just one portal. It appeared to be a good solution for groups with more than one reporting tool.
Dan Housman
Managing Director, Analytical Applications
Dr. Watts simplified data warehouse quality as "data quality equals completeness multiplied by validity." He provided an example of an average newborn baby weighing 32 kilograms or about 71 lbs in a healthcare system. The occurrence was attributed to inconsistent data entry with staff using kilograms and grams interchangeably. The solution was to transform the data into one unit of measurement and to ultimately correct the consistency in data entry.
Dr. Watts also demonstrated two cases of applying improvement to increase safety and reliability. The first case involved shoulder dystocia, a tremendous liability risk that occurs when a newborn is stuck in the birth canal. By instituting a simulator, a standard protocol, and a training program, the existing $20 million annual liability was successfully eliminated. The second case involved a decrease in severe adverse events even though the total number of reported adverse events actually increased. This was attributed to improvements in both safety and visibility. Dr. Watts stated "I don't think mistakes went up--reporting of mistakes became more acceptable and we should celebrate that."
Deb Batson, clinical research data warehouse architect at Children’s Hospital Denver, mentioned an example of finding married 6-year-olds. This mistake was attributed to a registration system that was prone to data entry error during hospital admissions.
The reports from Memorial Sloan-Kettering, National Institutes of Mental Health, Duke, and Ottawa differed tremendously. It would be helpful to find a better way to execute technology transfer of reports between organizations.
The folks at Intermountain built an amazing tool for improving labor costs using Cognos as well as a meta-report search engine. The engine allowed users to browse and launch reports from multiple BI tools using just one portal. It appeared to be a good solution for groups with more than one reporting tool.
Dan Housman
Managing Director, Analytical Applications
Labels: Data Warehousing
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