Everything You Need to Know About Data Governance Framework
- Category: Data Governance
- Published: Wednesday, 14 November 2018 01:54
- Written by Health Pro
- Hits: 163
A good quality Data Governance Framework in a healthcare organization starts by building a strategic data management plan that encompasses all the checks and balances put in place to ensure that the data governance framework is of top quality. Below are some steps to take including the checks and balances when building a data governance framework.
How to Build a Foolproof Data Governance Framework
Use a Third Party Builder/Vendor
Many organizations have the right and sufficient resources to build their own data governance framework but sometimes bringing in a third party that specializes in that area is a better move. Third parties have more experience and knowledge on how to build a data governance framework that’s top notch and can handle all the data needs of the healthcare organization. In addition, a program created by a third party that’s certified and recognized in the industry will increase the credibility of the healthcare organization in the industry and will make other organizations more open to data sharing collaborations.
Measure Success and Failures
In building a data governance framework, the healthcare organization should identify any success or gaps in the current system. That way, the design of the new system will make leeway for the gaps and will double down on the strengths and positives of the old system. Also, new failures can be avoided by identifying the paths that led to previous failures or errors in the system.
The data governance and data management industry is one that is very dynamic and ever-changing. Healthcare organizations should always identify trends in data storage, big data, data processing, data analytics, data integration etc. That way they can add new methodologies, software, and programs to make the data governance framework always up today and prominent.
Align Business with Technology
Healthcare organizations can use project management concepts and project managers expertise to align the business side of the company with the technology aspect. That way, data governance is not seen as being on an island on its own but rather it can be combined with other departments in the company and other aspects of the business. This leads to a more holistic data governance framework.
Have a Data Governance Team
A data governance team will be in charge of maintaining the data framework and would be responsible for making sure it works and functions properly. A unified data governance team will enable the healthcare organization to be confident in its data governance. The team will also be in charge of creating a communication plan that will routinely highlight the business values and priorities regarding the usage, acquiring, and sharing of data. One way they can do this is to design the plan to keep all participants and the business at large informed, engaged, and aligned with the program's strategic global vision.
They also serve as advocates of the data governance framework in the healthcare organizations to keep it at the forefront of planning, budgeting, and strategizing. The data governance team is also expected to work continuously towards determining data needs of the healthcare organization. This also includes developing data policies and guidelines, planning data management projects. The data governance team also could include ongoing control tasks such as managing and resolving data related issues, monitor data policies and promote the value of data assets both within and outside the organization.
Make Regular Updates
A healthcare organization should make regular updates to its data governance framework. As new data comes in all the time, regular updates will ensure that there are no issues and that the new data is stored properly. Regular data updates will improve insights into business opportunities, providing a substantial return on your investment.
There should be proper communication within the healthcare organization about the state of the data and the data governance framework. This communication should be both vertical and horizontal. A down-top and top-down communication approach will ensure that the data in the organization is always up to date and that it meets the needs of the healthcare organizations’ employees.
Advantages of a Data Governance Framework
It Provides Consistency
A data governance framework is as the name implies, a framework. This framework provides rules and templates for data acquisition, storage, and disposal. This ensures uniformity across the entire system and across the entire organization and this uniformity makes do away of so many potential problems and that might have arisen. This data governance framework ensures that new developers can easily pick up the standard approaches and handover/support of the processes are typically easier. Keep in mind that some healthcare organizations are very large and span across different locations and even international locations. This data governance framework has to ahead to stringently to ensure that the entire system is uniform.
It Standardizes and Automates Core Functionality
A data governance framework provides a standard system that automates core functionality. These standardized systems help increase efficiency by reducing redundancies and making time-consuming activities faster. Once the core functionality of the system is set, it is shared with all parties that have anything to do with data inputting ad data access and it becomes second nature to them after a while.
It Speeds Up Development
When there are pre-built standards, systems, a data governance team in place then development is bound to speed up. Development can occur at a more regular pace because all the normal redundancies are already automated as they don’t need to start a new process and improvement from scratch. It significantly increases the new development cycle of the healthcare organization.