Healthcare Reporting: Centralized vs. Decentralized презентация

Healthcare Reporting: Centralized vs. Decentralized

Healthcare Reporting One of the questions that often comes up as healthcare organizations look to get more deeply into data analytics is whether their reporting functions should be centralized or decentralized. The answer I usually give is:

Healthcare Reporting At Health Catalyst we believe in a concept touted by Reed Hastings, co-founder and CEO of Netflix, refers to as “highly aligned, loosely coupled.” Highly aligned means everyone shares the same strategic goals–team interactions are focused on strategies. Loosely coupled means different groups have the flexibility to approach tactics differently as needed.

Healthcare Reporting The approach is much like the offense on an NFL team. The coaching staff develops a game plan and the overall strategic approach the team will take to win the game. However, during the game, the offensive and defensive coordinators call the plays according to the game plan. That is highly aligned.

Healthcare Reporting Suppose at the line of scrimmage the quarterback sees a certain defensive formation and realizes there is a better opportunity available. He has the freedom to call an audible and make a tactical decision that is still highly aligned with the team’s overall strategy.

Healthcare Reporting The purpose of analytics in a healthcare organization is to create insights that help achieve strategic goals. Analysts are the conduits that collects various data points from different sources that allows non-analysts understand and act on it. The tactics they use depend on the organizational structure.

Basics of Centralized vs. Decentralized Organizations generally take one of two approaches to analytics and reporting. One is a centralized model, where the analytics group is its own entity, independent of any particular group. In a decentralized model, the analysts work directly for the different groups or departments.

Basics of Centralized vs. Decentralized Each of these models has its pros and cons; the pros of one are usually the con of the other. Let’s look a little more deeply at each to see where their strengths and weaknesses lie–and why a hybrid of the two tends to work best.

Centralized Reporting Pros The centralized model has many advantages. Overall, if you had to choose a single approach, this would be recommended based on our experience with both. The strengths of the centralized model follow:

Centralized Reporting Pros Standards and best practices vs. a maverick approach

Centralized Reporting Pros Flexibility

Centralized Reporting Pros Ability to support individuals with different skillsets

Centralized Reporting Pros Spot analytics trends vs. analytics islands

Centralized Reporting Pros Better management of resources

Centralized Reporting Cons Specific departments do not control their destiny

Play to Organizational Strengths Centralized vs. decentralized reporting doesn’t have to be an either/or choice. Organizations with the most success are the ones that combine the two to keep their reporting processes highly aligned yet loosely coupled – giving them the best of each while overcoming each model’s negatives.

Play to Organizational Strengths The primary benefit is that analytic efforts are focused on a specific need. With a lot of low-hanging fruit out there it’s easy to take advantage of immediate opportunities. If their work aligns with the overall organization’s strategy they don’t need to follow the formal processes that are part of the centralized model.

More about this topic Hospital Data Warehouse: The Best Tool for Efficient Hospital Reports Bobbi Brown, Vice President of Financial Engagement Physician Reporting: The Secret to Useable, Engaging Reports Dr. Ed Corbett, Medical Officer Data Analyst Saves Hospital Millions John Wadsworth, Vice President, Client Engagement 4 Ways Healthcare Data Analysts Can Provide Their Full Value Russ Staheli, Vice President, Analytics Self-Service Hospital Reporting Possibilities Brian Eliason, Vice President, Client Engagement and Kristi Mousel, Business Intelligence and Data Warehousing Professional

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