ArticlePloS one2023
Supporting SURgery with GEriatric Co-Management and AI (SURGE-Ahead): A study protocol for the development of a digital geriatrician.
Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed, 19 citations in OpenAlex.
- Standard-of-care vs. machine learning-recommended discharge destinations for geriatric surgical inpatients: algorithm development and internal validation.European geriatric medicine · 2026Article
- Standard-of-care vs expert-recommended discharge destinations for geriatric surgical inpatients: a prospective observational cohort study.European geriatric medicine · 2026Observational
- Identifying Key Predictors of Appropriate Discharge Destinations for Older Inpatients in Acute Care: Scoping Review.Interactive journal of medical research · 2026Review
- Detection of adverse events in older adults undergoing surgery using the IHI global trigger tool within the SURGE-Ahead project.BMC geriatrics · 2025Observational
- Evidence-Based Recommendations for Geriatric Trauma Care: Systematic Review and AI-Assisted Consolidation of Clinical Practice Guidelines Between 2016 and 2021.Annals of surgery open : perspectives of surgical history, education, and clinical approaches · 2025Review
- Evaluation of an AI-Based Clinical Decision Support System for Perioperative Care of Older Patients: Ethical Analysis of Focus Groups With Older Adults.JMIR aging · 2025Article
- Deep Learning Predicts Postoperative Mobility, Activities of Daily Living, and Discharge Destination in Older Adults from Sensor Data.Sensors (Basel, Switzerland) · 2025Article
- SURGE-ahead postoperative delirium prediction: external validation and open-source library.European geriatric medicine · 2025Article
- Addressing "cognageism" in geriatric surgery: ethical dilemmas and collaborative innovations for an aging world.European geriatric medicine · 2025Article
- Developing and implementing a geriatric surgery co-management program for older adults: insights from document analysis.Surgery in geriatrics and frailty · 2025Article
- Expectations and Requirements of Surgical Staff for an AI-Supported Clinical Decision Support System for Older Patients: Qualitative Study.JMIR aging · 2024Article
- Introducing a machine learning algorithm for delirium prediction-the Supporting SURgery with GEriatric Co-Management and AI project (SURGE-Ahead).Age and ageing · 2024Article
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Authors and funding
26 authors at 9 institutions in 5 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionGeriatric co-management is known to improve treatment of older adults in various clinical settings, however, widespread application of the concept is limited due to restricted resources. Digitalization may offer options to overcome these shortages by providing structured, relevant information and decision support tools for medical professionals. We present the SURGE-Ahead project (Supporting SURgery with GEriatric co-management and Artificial Intelligence) addressing this challenge.
methodsA digital application with a dashboard-style user interface will be developed, displaying 1) evidence-based recommendations for geriatric co-management and 2) artificial intelligence-enhanced suggestions for continuity of care (COC) decisions. The development and implementation of the SURGE-Ahead application (SAA) will follow the Medical research council framework for complex medical interventions. In the development phase a minimum geriatric data set (MGDS) will be defined that combines parametrized information from the hospital information system with a concise assessment battery and sensor data. Two literature reviews will be conducted to create an evidence base for co-management and COC suggestions that will be used to display guideline-compliant recommendations. Principles of machine learning will be used for further data processing and COC proposals for the postoperative course. In an observational and AI-development study, data will be collected in three surgical departments of a University Hospital (trauma surgery, general and visceral surgery, urology) for AI-training, feasibility testing of the MGDS and identification of co-management needs. Usability will be tested in a workshop with potential users. During a subsequent project phase, the SAA will be tested and evaluated in clinical routine, allowing its further improvement through an iterative process. DISCUSSION: The outline offers insights into a novel and comprehensive project that combines geriatric co-management with digital support tools to improve inpatient surgical care and continuity of care of older adults.
trial registrationGerman clinical trials registry (Deutsches Register für klinische Studien, DRKS00030684), registered on 21st November 2022.
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