As healthcare organizations are transforming in the new era of post Covid care, more and more organizations are deciding towards hosting their IT infrastructure on Cloud through one of the cloud adoption strategy – public, private or hybrid. A lot depends on how the current set of technologies such as EHR, EMR or any other HIT systems are integrated in your healthcare setup.
Almost all healthcare enterprises while has the quest to be digitally empowered, a lot of healthcare companies has to revisit the way the current digital infrastructure is implemented around their processes. While the data is growing bigger every day, a holistic approach is needed to manage the growing data in a meaningful way so that data is transformed into actionable insights.
Every healthcare organization is looking at big data and cloud as an obvious choice for storing and processing different sets of data in real time at point of care. While this transition is bringing up its own challenges of dealing with data governance on Cloud, it also is also presenting opportunities for cloud providers and their partners to best leverage the managed services model on cloud targeted around data transformation journey.
Here are some examples of Managed Data Services model that can include a bucket of different services that a cloud partner can usually offer –
1. Remote Monitoring of Data Hosting Infrastructure
2. Change Management
3. Scheduled Maintenance and Support
4. Resource Optimization
5. Remote Help desk for Data Operations
6. Remote Security Solutions
7. Reporting and Advanced Analytics
8. Business Continuity Planning
9. Data Cleaning and Interoperability Support Services
10. Remote Database Administration and Migration
While the healthcare organizations are looking ways to cater the sudden surge, sharing of these responsibilities will simply help in reducing or controlling operational costs, increase process efficiency and competitiveness, and keep the focus on quality care.
In order to succeed with your data initiatives, healthcare organizations should first identify the Data Maturity Curve (DMC) of their organization processes and should equally look at the data handling capabilities of the potential partner organization.
As an example, some of the measurement factors that can help in identifying the level of maturity is shown
Finally, to get the ROI from your data transformation initiatives, it is equally important to have a strong governance around the data initiatives. We at
Taliun would be interested in knowing how you are dealing with your data initiatives. Feel free to write to us at info@taliun.com.
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