Modernizing healthcare data takes more than a CRM: report
NEVADA, UNITED STATES — Health systems rushing to modernize data infrastructure through customer relationship management (CRM) platform upgrades risk overlooking a deeper failure: the database layer underneath those tools, where fragmented pipelines, absent version control, and inconsistent governance often go unaddressed.
Mohammed Omer Shakeel Ahmed, a senior business intelligence analyst specializing in healthcare analytics and data architecture, makes the case in a September 3 analysis for Healthcare IT Today.
CRM upgrades miss the data layer
Ahmed argues that healthcare’s concept of data modernization has narrowed to selecting the next customer relationship management platform: a system with a polished interface and impressive feature list.
Writing in Healthcare IT Today, he noted the databases underneath these tools rarely receive the same scrutiny as the systems sitting on top of them.
“Database systems are treated like a tabular version of an Excel file, a place to store information, with none of the operational rigor applied to the systems built on top of it,” Ahmed wrote.
Healthcare organizations often invest heavily in front-end clinical systems, electronic health record (EHR) platforms, and data dashboards while leaving the underlying data pipelines fragmented, undocumented, and without version control.
DevOps discipline can fix the gap
Ahmed contends that healthcare data teams need to treat the database as a product, not a storage container.
He points to DevOps as the model: a discipline built to move software changes from development to production in an automated, repeatable manner, bringing the same version control and testing cadence to data pipelines that developers apply to application code.
Ahmed wrote that health system data management should not stop at data governance but must expand into real DevOps practices that bring version control, deployment pipelines, and automated testing to the data layer.
Without that operational discipline, even the most robust governance policy cannot ensure consistent, auditable data output.
The Centers for Medicare and Medicaid Services (CMS) Interoperability and Prior Authorization Final Rule, which took effect in 2026, has made data accessibility and pipeline integrity a regulatory necessity for United States health systems.
The operational complexity of maintaining data pipelines, governance frameworks, version control, and testing protocols in-house has grown beyond what many mid-size health systems can absorb with current staffing levels.
As artificial intelligence (AI) and real-time analytics make fresh demands on data quality, healthcare organizations increasingly rely on outside expertise to manage the data engineering function.
As business process outsourcing (BPO) partners with dedicated healthcare information technology (IT) capabilities expand their offerings, health systems evaluating those options can benchmark providers through the top healthcare outsourcing companies in the United States.
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Disclosure: Outsource Accelerator uses AI tools in the backend of its editorial workflow. Every article is reviewed and verified by a human editor before publication.
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