My Role
Product Designer II - Product Strategy, User Flows, Prototyping, Visual Design
Team
Swapnil Bharat, Urvashi Jain (PMs)
Pranay Kumar, Laxminarayan (EMs)
Akash Srivastava, SDE III
Overview
In this project, we designed a data correction and approval flow within the Master Data Management (MDM) system to handle high-impact updates such as medical code corrections & EMPI merge requests.
These changes, often surfaced by AI or the Cara Management team, required validation from the customer's Data Steward to ensure accuracy, trust & governance.
Our goal was to create a clear, efficient interface that empowered stewards to review and approve these requests with full context.
About Innovaccer
HealthTech | Indian Unicorn 🦄 | Last round raised: Series F
Every healthcare organization wants to deliver personalized care at lower costs. This is difficult to do with so much information scattered across different systems.
That’s where Innovaccer comes in, which works with healthcare org. - like CommonSpirit Health, Kaiser Permanente etc., to supercharge their existing software with true intelligence. Innovaccer activate the power of their data to create connected, digital experiences across the continuum of care & elevating the quality of care for every person.
Master Data Management & Data Correction Requests
As part of our ongoing data quality and governance efforts, certain data correction and master data updates require formal approval from the customer's designated Data Steward. These requests fall into two main categories:
Medical Code Corrections - Our AI and medical team identified missing or incorrect codes in patient records and proposed accurate replacements. These corrections are sent to the Data Steward for approval before being reflected in the MDM.
EMPI Merge Requests - We designed a clear approval interface that allows stewards to review, validate, and approve or reject these requests with full context.
-
Design Decision
We implemented a gated review and approval interface within the platform, ensuring that:
All data correction or merge requests are clearly explained, with contextual information (e.g., original vs. corrected codes, patient profile comparison).
Customers have visibility and control over what gets accepted into their MDM.
Only after the Data Steward’s explicit approval are changes applied to the master record.
Data approval time reduced by 70%
that took 2-3 months time over email threads to get resolved
Data review time reduced by 90%
that earlier involved going through the large excel sheets manually
Data team's effort reduced by 1/4th
that were spent on manually reviewing the data flaws
Intrigued? Want to see more…?
Since this project is covered under NDA, please reach out to me personally if you have any questions regarding my work.
