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6 Essential Data Analyst Skills for Your Healthcare Organization ? John Wadsworth
Data Analyst Skillsets Drive Success Smart healthcare groups are turning to the enterprise data warehouse (EDW) as the foundation of their analytics strategy to improve their care delivery and cost. But you need more than a solid software foundation. To fully leverage the EDW investment, you need to have the right people with the right skills—strong healthcare data analyst skills.
Producers and Consumers of Data and Information Most healthcare workers will never directly interact with an EDW. They’ll never look for trends by querying a database, write reports or analyze data. Someone else will actually pull data from the EDW, analyze it, and then produce a report. These people are producers. And the people that receive these reports can be classified as consumers.
Producers and Consumers of Data and Information It’s common for health system to invest millions of dollars and multiple years into a data warehouse and still have dissatisfied consumers. If the team lacks the skills to manage and leverage an EDW, it can create real problems for a health system’s enterprise-wide analytics strategy.
6 Skills Healthcare Data Analysts Need To support sustained outcomes improvement, there are six skills needed among staff members (either analysts or architects) tasked with analytics. Structured query language Export, transform, and load (ETL) Data modeling Data analysis Business intelligence (BI) reporting Telling the story of the visualizations
6 Skills Healthcare Data Analysts Need 1: Structured query language An analytics team member needs to be able to talk directly to and manipulate databases through structured query language (SQL). Highly experienced data analysts should also bring skills with these kinds of toolsets: Microsoft Access GUI Crystal Reports A business intelligence (BI) tool
6 Skills Healthcare Data Analysts Need 2: Export, transform, and load (ETL) The data expert needs to be able to perform export, transform, and load (ETL) processes. Simply put, you need to take data from one system and put it into another. In an EDW, a user pulls data from disparate systems (e.g., EHRS, finance, human resources) that don’t talk to one another. This movement of data is done through the ETL process.
6 Skills Healthcare Data Analysts Need 3: Data modeling Data modeling is a fancy way to say that you write code that models real-world processes and workflows. Consider the needs for a hospital admission process: Patient demographic data Insurance information Patient clinical history Admitting diagnosis Attending physician Other as-needed data
6 Skills Healthcare Data Analysts Need 4: Data analysis An analytics team member needs to be able to make sense of the data once it is in the EDW. A good analyst using complex thinking around set theory and analysis through SQL, can extract pertinent insights and drive cost and quality improvements.
6 Skills Healthcare Data Analysts Need 5: Business intelligence (BI) reporting An analytics team member needs to be able to present data in a way that is intuitive to nontechnical users. The visual representation must be simple to interpret by a lay audience. This skill separates an average analyst from a stellar one.
6 Skills Healthcare Data Analysts Need 6: Telling the story of the visualizations The analytics team member must be able to effectively interpret and transmit the stories embedded in the data. BI reporting gives contextual meaning in bits and pieces, or a micro view. Telling the story means providing a logical flow that pulls together a coherent story?a big picture view.
Staffing Models for Skills Management Staffing in healthcare is primarily based on two models: Generalist model Specialist model Specialists tend to focus on their particular skillset where data architect and analysts within the generalist staffing model may support a wider range of functionality on process improvement teams.
Staffing Models for Skills Management The important thing is expertise across all of these skills within the team. Both generalist and specialist staffing models can work as long as: The skill is covered with a high degree of expertise Coordination and handoffs between technical team members are seamless.
Unlocking the Value of a Healthcare EDW Ensuring coverage of all six skills skills will help any organization get the most value out of their EDW. Turning data into actionable information is what good analytics is all about: unlocking data to drive meaningful, sustainable change.
More about this topic 4 Ways to Enable Healthcare Data Analysts to Provide Their Full Value Russ Staheli, Technical Director The Best Organizational Structure for Healthcare Analytics John Wadsworth, VP of Client Technical Operations Health Data Stewardship and Its Importance in Healthcare Analytics John Wadsworth, VP of Client Technical Operations 3 Frequent Mistakes in Healthcare Data Analytics John Wadsworth, VP of Client Technical Operations Finding $5.7 Million with a Healthcare Data Warehouse John Wadsworth, VP of Client Technical Operations Link to original article for a more in-depth discussion. 6 Essential Data Analyst Skills for Your Healthcare Organization
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Other Clinical Quality Improvement Resources Click to read additional information at www.healthcatalyst.com John Wadsworth joined Health Catalyst in September 2011 as a senior data architect. Prior to Catalyst, he worked for Intermountain Healthcare and for ARUP Laboratories as a data architect. John has a Master of Science degree in biomedical informatics from the University of Utah, School of Medicine.