February 27 2019 | 0 Comments | 96 reads Average Rating: 4

3 Steps to Ensure Your Data Warehouse/Analytics Program is Heading in the Right Direction

by Arun Rangamani in Health Analytics

The move toward the increased adoption of data warehouses and analytics has been on for quite some time in healthcare. Consider the following: The use of clinical data warehouse applications grew from just 25% in 2009 to 45% in 2014, according to a report from HIMSS Analytics.1 A more recently released report from MarketsandMarkets predicts that the healthcare data analytics market will reach $50.5 billion by 2024, up from just $14 billion in 2019. 2

While the move toward the use of data warehouses and analytics is running on all cylinders, the big question is: Is all this activity actually propelling healthcare organizations to where they want to be?

To determine if you are heading in the right direction, your healthcare organization needs to measure performance. The problem: Many healthcare organizations zero in on data warehouse key performance indicators (KPIs) such as speed, throughput and volume. Such measures provide insight on how well your data warehouse is working but do not shed much light on what your data initiatives are doing for your organization. To truly determine if your organization is achieving its goals, you must go beyond these very technical measures.

Here are three steps that can help you better assess performance and move your organization toward achieving success:

1. Recruit clinicians and business experts into the data warehousing/analytics fray. The technical staff can determine if a data warehouse is up and running efficiently -- but they can’t assess broader organizational goals. That’s why it’s important to bring physicians, nurses, and other clinical staff, as well as financial leaders, supply chain and procurement experts and other business users into the mix. These experts can explain what types of reports, dashboards, and other big data analytics outputs will help them do their jobs better.

2. Focus on organizational outcomes. Instead of measuring how well a data warehouse is running from a technical standpoint, it’s important to assess whether or not your initiative is resulting in outcomes such as the improved health of individuals and populations, which requires understanding not only why they are sick but how to keep them well; the reduced the cost of care along with maintained or improved quality; and enhanced patient satisfaction.

3. Zero in on real value. To make sure you are moving toward success, focus on how your data warehousing/analytics program is truly transforming your organization. For example, a provider organization might want to gain an understanding of variations in treatment to help improve quality and reduce costs or identify the source (and causes) of network leakage. Such issues are likely to be important to the success of your healthcare organization as a whole.

References:

1. Terry, K. More Hospitals Buy Clinical Data Warehousing Apps. InformationWeek. https://www.informationweek.com/healthcare/clinical-information-systems/more-hospitals-buy-clinical-data-warehousing-apps/d/d-id/1113500

2. MarketsandMarkets. Healthcare Analytics Market Worth $50.5 billion by 2024. https://www.marketsandmarkets.com/PressReleases/healthcare-data-analytics.asp

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Author
Arun Rangamani
SVP, Care Optimization and SCIOXpert Services

Arun Rangamani heads the Global Analytics & Technology Centers of Excellence which are based out of SCIO's Chennai office in India. Arun was previously responsible for setting up the SCIO’s global Analytics and Technology portfolios in India prior to moving on to developing the analytics practice from India.

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