6 Essential Data Analyst Skills for Your Healthcare Organization презентация

6 Essential Data Analyst Skills for Your Healthcare Organization

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.

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

6 Skills Healthcare Data Analysts Need 2: Export, transform, and load (ETL)

6 Skills Healthcare Data Analysts Need 3: Data modeling

6 Skills Healthcare Data Analysts Need 4: Data analysis

6 Skills Healthcare Data Analysts Need 5: Business intelligence (BI) reporting

6 Skills Healthcare Data Analysts Need 6: Telling the story of the visualizations

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

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