Agentic Workflows Breaking Down Data Silos

As healthcare organizations begin to embrace better analytical tools and artificial intelligence, improve how they distribute their processes and conduct their business operations, they are facing many of the same problems that have plagued the industry such as data silos, with over 60% of healthcare executives citing data silos as a major barrier to leveraging analytics effectively. With so much attention and money being invested in digital health systems and other forms of healthcare technology, the challenge continues to be that many healthcare organization’s data systems do not effectively connect clinical, financial, and operational data together, in a manner that supports ongoing effective decision-making.

Finding out why this continues to be a challenge for the healthcare industry, as well as what healthcare organizations need to do away with their existing siloed systems and create a seamless connection between their clinical, business, and operational data to support improved decision-making was the purpose of our conversation with Team Gravity at Innovaccer. Team Gravity describes how these data silos are created, why they are becoming increasingly visible, and the reasons why healthcare leaders should be careful in their approach to breaking down their existing siloed systems.

Read the full conversation below.

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What do we really mean when we talk about data silos in healthcare?

Team Gravity: Information trapped in separate databases or systems presents a number of challenges to organizations. In the healthcare industry, clinical data stored in the Electronic Health Record (EHR) will often be stored in different types of software applications such as accounting systems, claims systems, etc. Other sources of data will track operational metrics, but will not provide all the information necessary to make informed decisions about the patients under care, the performance of clinicians and their staff, or potential risk factors. Each type of data may be accurate on its own, however, they do not provide a comprehensive view of all aspects of patient, clinician and staff, or potential risk.

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Why have data silos become such a critical issue now?

Team Gravity: The pressure on healthcare organizations has intensified. Leaders are expected to focus on improving their outcomes, reducing costs, managing workforce shortages and utilizing AI technology, often at the same time. To achieve these goals, leaders need to have insights into all aspects of the organization. When data is fragmented, it impedes decision making, increases the need for manual processes and provides teams with incomplete information. An inconvenience that was once viewed as a minor issue now represents a major obstacle to providing quality care efficiently.

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Haven’t healthcare organizations already invested heavily in interoperability and analytics?

Team Gravity: Yes, they have. However, the many investments in connecting systems technically or generating process-specific reports have contributed to the ongoing frustration surrounding silos. The missing element to a lot of the investment was a collaborative vision for how data would enable real business decisions across clinical, financial, and operational divisions. Digital transformation or modernization efforts highlight the need for alignment regarding data ownership, definition, and accountability, as uncoordinated efforts will result only in going back to the originating business unit and creating siloed solutions for the narrow issues identified.

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How do data silos affect patient care in practical terms?

Team Gravity: The impact shows up in small but meaningful ways. Care teams may not see a patient’s full utilization history when planning interventions. Risk stratification models may overlook social or financial signals that live outside the EHR. Transitions of care become more fragile when critical context is scattered across systems. The result is delayed action, duplicated work, and missed opportunities to intervene earlier.

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What is the business cost of keeping data fragmented?

Team Gravity: From a financial and operational perspective, silos make it harder to understand what is truly driving cost, quality, and performance. Leaders spend time reconciling reports instead of acting on insights. Capacity planning becomes reactive. Margin erosion is noticed after it has already occurred. Over time, the organization pays for this fragmentation through inefficiency, slower strategy execution, and increased risk.

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Why do data silos persist even when leaders recognize the problem?

Team Gravity: Silos are rarely created intentionally. They emerge as systems are added to solve specific needs, often under time pressure. Organizational structures reinforce them when data ownership is split across departments with different priorities. There is also a tendency to treat data integration as an IT project rather than an enterprise capability tied to decision-making. Without cultural and governance alignment, technical fixes alone cannot eliminate silos.

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What does “breaking down data silos” actually involve?

Team Gravity: Breaking down the silos of information within complex operating environments does not necessitate replacing each operating environment with a single combined system nor require all data to now be transferred onto a unified platform. Breaking down silos involves facilitating access to all available information across disparate environments for the purpose of identifying a common perspective on both patients and operational activities. This requires the establishment of shared definitions for terms (i.e., "patient", "operation"), combined with establishing designated decision-making authority (governance) and making that information available to those designated with making decisions. As such, the focus will shift from the location of the information to the manner in which that information is utilized within the framework of coordinated care.

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How does this change the way leaders make decisions?

Team Gravity: When data is connected, trade-offs become visible. Leaders can see how clinical decisions affect cost, how operational constraints impact quality, and where investments will deliver the most value. Decision-making becomes faster and more confident because it is grounded in a unified view rather than fragmented reports. This shift is essential in an environment where delays and misalignment carry real consequences.

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What role does AI play in breaking down data silos?

Team Gravity: AI amplifies the value of integrated data, but it also exposes the risks of fragmentation. Models perform best when they have access to clinical, financial, and operational context together. When silos remain, AI systems may produce outputs that look precise but are based on incomplete information. Breaking down silos is therefore a prerequisite for trustworthy, responsible AI adoption in healthcare.

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Is this primarily a technology challenge or a leadership challenge?

Team Gravity: It is both, but leadership matters more. Technology can enable integration, but leaders set the expectations for how data is shared, governed, and used. Breaking down silos requires aligning teams around common goals, prioritizing enterprise outcomes over local optimization, and treating data as a strategic asset rather than a byproduct of operations.

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What does success look like once silos are addressed?

Team Gravity: Success is defined not by how many dashboards or integrations are created but rather by how well decisions are made; therefore, the less time frontline teams must spend looking for information, and the more time they can spend delivering care to their patients, the better off an organization will be. Also, leaders will be able to proactively manage issues as they arise rather than react once they occur. An organization has fewer blind spots and operates with more confidence when it comes to its direction.

The destruction of data silos is not a one-time project; rather, it is an ongoing commitment to ensure clarity, alignment, and action. The healthcare organizations that will thrive and excel through the next phase of healthcare transformation will be those that convert disconnected pieces of data into valuable shared insights and therefore use those insights to make better decisions.

Want to learn how Gravity helps break data silos? Book a demo now.