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Technical Detail for Robot Assisted Pancreaticoduodenectomy

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Single source - triple flow: Structured electronic data capture for pancreatic surgery patients.

Max Blumenstock¹, Fleur Fritz-Kebede¹, Niels Siegel²

¹Institute of Medical Informatics, Heidelberg University, Heidelberg, Germany.

|February 23, 2026

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This summary is machine-generated.

The new IMI-EDC system improved patient data submission and quality compared to paper records. This electronic health record system enhances workflow and patient satisfaction in clinical research.

Area of Science:

Healthcare Analytics
Clinical Informatics
Medical Data Management

Background:

Advancements in clinical medicine rely on healthcare analytics using patient data from EHR and EDC systems.
A new independent, integrated EDC system (IMI-EDC) was developed and implemented in a tertiary hospital.
The IMI-EDC system ensures data availability for patient care and research while maintaining regulatory compliance.

Purpose of the Study:

To compare the IMI-EDC system with the previous paper-mediated system.
To evaluate patient comfort and satisfaction with the new system.
To assess data quality and workflow facilitation using the IMI-EDC.

Main Methods:

Over 5000 patients submitted data via IMI-EDC by July 2025.
Patient user experience was surveyed for tablet users.

Keywords:

Electronic data capture medical informatics pancreas surgery patient-reported outcomes measures research data management single source

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100 EDC submissions were compared to 100 paper submissions for data completeness, correctness, clarity, and readability.

Data transfer times to the Heidelberg Pancreas Registry (HPR) were measured.

Main Results:

75% of tablet users reported comfort with the IMI-EDC system.
Tablet users had higher submission rates (98/100) and complete forms (70/98) compared to paper users (66/100 and 24/66).
Data transfer to the HPR was faster with IMI-EDC (4.2 min vs. 9.9 min).

Conclusions:

The IMI-EDC system is satisfactory for patients and staff.
It improves user experience, data completeness, and reduces workload.
IMI-EDC is effective in a high-volume surgical center setting.