Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Longitudinal Studies01:26

Longitudinal Studies

481
Longitudinal studies are also widely used in other medical and social science fields. For instance, in cardiovascular research, they can monitor patients' health over decades to identify risk factors for heart disease, such as high cholesterol or smoking, and evaluate the long-term effectiveness of preventive measures. Similarly, in mental health studies, researchers might follow individuals from adolescence into adulthood to understand the development and progression of conditions like...
481
Health Information Technology and Healthcare Information System01:30

Health Information Technology and Healthcare Information System

3.3K
Health Information Technology (HIT)
Health Information Technology, commonly called HIT, integrates advanced information systems and technology in healthcare settings. Its primary functions include:
3.3K
Issues And Trends In Healthcare Delivery System01:29

Issues And Trends In Healthcare Delivery System

6.2K
The issues and trends in healthcare delivery are constantly changing. The COVID-19 pandemic is one recent issue that wreaked havoc on healthcare systems, causing a shortage of healthcare workers, high demand for medicines and supplies, and increased medical expenditure due to a lack of insurance. Other issues include rising healthcare costs and care fragmentation.
Cost Containment
Payment for healthcare services has historically promoted adoption of costly and often unnecessary or inefficient...
6.2K
Methods of Documentation VI: Case Management Model01:15

Methods of Documentation VI: Case Management Model

864
The case management model is a multidisciplinary approach that involves healthcare professionals from diverse disciplines, such as physicians, nurses, therapists, social workers, and pharmacists, working collaboratively to address the various needs of patients. Each healthcare professional brings unique expertise and perspectives, contributing to a more comprehensive understanding of the patient's condition and tailoring treatment plans accordingly.
For example, a patient with a chronic...
864
Hospitals-II00:59

Hospitals-II

1.1K
Hospitals provide inpatient and outpatient services. Inpatient services provide care to patients that stay in the hospital for an extended period, ranging from days to months. Examples of inpatient services include intensive care units, hospital wards, or surgeries. Outpatient services provide care to patients who come to a hospital for a diagnostic or treatment but do not stay overnight —for example, diagnostic tests, surgical procedures, or health education.
Nurses that work in...
1.1K
Documentation in Long-Term and Home Healthcare Setting01:29

Documentation in Long-Term and Home Healthcare Setting

1.4K
Documentation in long-term care facilities and home healthcare settings is crucial for ensuring continuous, coordinated, and comprehensive care for patients. Each setting has its specific documentation processes and tools:
Long-Term Care Facilities
1.4K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

CaReMe-CKD-HF-Epidemiology of Heart Failure in Chronic Kidney Disease: A Retrospective Analysis of Routine Administrative Data from a German Hospital Network.

Journal of cardiovascular development and disease·2025
Same author

A Systematic Comparison of Age, Comorbidity and Frailty of Two Defined ICU Populations in the German Helios Hospital Group from 2016-2021.

Journal of clinical medicine·2025
Same author

A Comparison of Different Intensive Care Unit Definitions Derived from the German Administrative Data Set: A Methodological, Real-World Data Analysis from 86 Helios Hospitals.

Journal of clinical medicine·2024
Same author

Retrospective, Observational Analysis on the Impact of SARS-CoV-2 Variant Omicron in Hospitalized Immunocompromised Patients in a German Hospital Network-The VISAGE Study.

Vaccines·2024
Same author

Impact of Dexamethasone on the Pathogen Profile of Critically Ill COVID-19 Patients.

Viruses·2023
Same author

A Digital Infrastructure for Cardiovascular Patient Care Based on Mobile Health Data and Patient-Reported Outcomes: Concept Details of the Helios TeleWear Project Including Preliminary Experiences.

JMIR formative research·2023

Related Experiment Video

Updated: Jan 18, 2026

Digital Home-Monitoring of Patients after Kidney Transplantation: The MACCS Platform
07:13

Digital Home-Monitoring of Patients after Kidney Transplantation: The MACCS Platform

Published on: April 12, 2021

4.9K

Lessons Learned From Building a Data Platform for Longitudinal, Analytical Use Cases and Scaling to 77 German

Markus Bockhacker1, Peter Martens2, Clara von Münchow1

  • 1Helios Kliniken, Friedrichstraße 136, Berlin, 10114, Germany, 49 305213210.

JMIR Medical Informatics
|September 12, 2025
PubMed
Summary

German hospitals can now aggregate electronic health records (EHRs) for research using a new data platform. Patients consented to data use 70.2% of the time, enabling real-world data research beyond university centers.

Keywords:
Hadoopbroad consentdata sciencemedical informaticsresearch platformsecondary data use

More Related Videos

TBase - an Integrated Electronic Health Record and Research Database for Kidney Transplant Recipients
09:00

TBase - an Integrated Electronic Health Record and Research Database for Kidney Transplant Recipients

Published on: April 13, 2021

5.2K
Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack
07:31

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack

Published on: May 15, 2020

7.5K

Related Experiment Videos

Last Updated: Jan 18, 2026

Digital Home-Monitoring of Patients after Kidney Transplantation: The MACCS Platform
07:13

Digital Home-Monitoring of Patients after Kidney Transplantation: The MACCS Platform

Published on: April 12, 2021

4.9K
TBase - an Integrated Electronic Health Record and Research Database for Kidney Transplant Recipients
09:00

TBase - an Integrated Electronic Health Record and Research Database for Kidney Transplant Recipients

Published on: April 13, 2021

5.2K
Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack
07:31

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack

Published on: May 15, 2020

7.5K

Area of Science:

  • Health Informatics
  • Real-World Data Research
  • Data Standardization

Background:

  • Electronic health records (EHRs) adoption facilitates real-world data research.
  • Data aggregation from German acute care hospitals (non-university) has been limited.
  • A novel data platform was developed to standardize and aggregate pseudonymized EHR data with patient consent.

Purpose of the Study:

  • To report on the design, implementation, and scaling of a research data platform.
  • To incorporate real-world data from 77 hospitals into a unified data lake.
  • To analyze patient participation and lessons learned during platform scaling.

Main Methods:

  • Agile development cycle for incremental data standardization.
  • Layered lambda architecture on Apache Hadoop.
  • Decentralized connectors for data minimization and pseudonymization.

Main Results:

  • Successfully scaled the data model across 77 hospitals.
  • Encountered challenges with real-time data pipelines and IHE interfaces.
  • Achieved a 70.2% patient consent rate (1,023,633 out of 1,475,244 requests) for secondary data use.

Conclusions:

  • Patients are willing to consent to secondary data use, though it requires significant effort.
  • The research data platform is crucial for collecting and standardizing longitudinal data for real-world research.
  • Agile development, phased rollouts, and automation enable rapid feedback incorporation and improved data quality.