Digital Transformation and Applications Research Group

Goal

The working group addresses the question of where and how digitization in healthcare and medicine makes sense and how this process can succeed.

Description

Digitalization and digitization describe - beyond the hype - a fundamental structural change in medicine. Behind the buzzwords "digitalization of medicine" or "digital health" are a wide variety of expectations and possibilities with regard to the further development of medicine as a practice and as a science. With an interdisciplinary and scientific view, the working group wants to support and shape the transformation processes of digitalization in medicine. Our goal is to map the full cycle of data and applications: harnessing - using - evaluating the benefits.

Our current research areas:

Socio-technical digital innovation: We research future socio-technical work environments in the process of continued digitalization and accompanying intersectoral work processes in healthcare.
Implementation and transformation research: We research digital transformation in hospitals and beyond, developing appropriate frameworks and methods such as digital/AI readiness assessments, misfit and maturity analyses.
Data-based care research: We research how new approaches to integrating and using conventional and new data sources can be implemented to improve patient care.

Research focus Socio-Technical Innovations

The working group "Socio-Technical Innovations" is part of the working group "Digital Transformation and Applications" at the Institute for Medical Informatics at Charité-Universitätsmedizin Berlin. It has the following work, innovation and research focus:

Investigation and analysis of complex work processes and interdisciplinary task systems.
Optimisation and modelling of the interaction of functional and personal competences in socio-technical work environments
Modelling of socio-technical aspects in the digital transformation, taking into account ethical, labour law and legal framework conditions
Modelling of task fulfilment based on division of labour with the aim of optimised information systems
Analysis and development of solutions for the goal-oriented perception of information in the context of task-specific situations in the health sector
Investigation and design of socio-technical and ethical aspects in the use of robots in the health sector
Consulting and teaching on the socio-technical design of working environments
Cooperation with interdisciplinary research institutions, related ministries and industry

Research focus Data for Healthcare Innovations

As part of the working group "Digital Transformation and Applications", the research group "Data for Healthcare Innovations" at the Institute for Medical Informatics of Charité-Universitätsmedizin Berlin, focusses on the following research areas:

Systematization of applications of Charité's digital data infrastructure for the implementation and evaluation of digital care solutions
Development of novel data sources for the quantification of individual as well as epidemiological, global health risks
Integration of data sources for the evaluation of health-related behavior
Evaluation of opportunities & risks of clinical human-machine interactions
Methods lab for causal analysis of non-experimental prospective & retrospective data
Cooperation with interdisciplinary research institutions, ministries & authorities (BMG & RKI) and the industry

Projects

Symptom Checker Patient Self-assessment and Symptom Checkers

AkuSym Symptom Checker Apps in Acute Care

SIESTA Synergies in Sleep, Software, and Diabetes Management

ProKIP Process support and development for AI use in nursing care

HealthScope

DIGIOP Digitally-supported supply processes: Future-oriented interoperability regarding digital health applications, assistive devices and EHRs

KIP-SDM A.I. Modeling in nursing care. Fall prediction and development of an open-source data repository

AHK-COPRA Algorithms and agency in hospitals

OPEN Investigating the #WeAreNotWaiting movement and its innovations: Open-source technology for automated insulin delivery in diabetes.

Selected publications

Hussain S, Lal RA, Braune K. Open-source automated insulin delivery in type 1 diabetes-the evidence is out there. Lancet Diabetes Endocrinol. 2022 Oct 13:S2213-8587(22)00283-2.
Braune K, Krug N, Knoll C, Ballhausen H, Thieffry A, Chen Y, O'Donnell S, Raile K, Cleal B. Emotional and Physical Health Impact in Children and Adolescents and Their Caregivers Using Open-source Automated Insulin Delivery: Qualitative Analysis of Lived Experiences. J Med Internet Res. 2022 Jul 14;24(7):e37120.
Braune K, Lal RA, Petruželková L, Scheiner G, Winterdijk P, Schmidt S, Raimond L, Hood KK, Riddell MC, Skinner TC, Raile K, Hussain S; OPEN International Healthcare Professional Network and OPEN Legal Advisory Group. Open-source automated insulin delivery: international consensus statement and practical guidance for health-care professionals. Lancet Diabetes Endocrinol. 2022 Jan;10(1):58-74. doi: 10.1016/S2213-8587(21)00267-9.
Röbbelen A, Schmieding M, Kopka M, Balzer F, Feufel M (2022). Interactive Versus Static Decision Support Tools for COVID-19: Randomized Controlled Trial. JMIR Public Health Surveill 2022;8(4):e33733.
Braune K, Gajewska KA, Thieffry A, Lewis DM, Froment T, O'Donnell S, Speight J, Hendrieckx C, Schipp J, Skinner T, Langstrup H, Tappe A, Raile K, Cleal B. Why #WeAreNotWaiting-Motivations and Self-Reported Outcomes Among Users of Open-source Automated Insulin Delivery Systems: Multinational Survey. J Med Internet Res. 2021 Jun 7;23(6):e25409.
Braune K, Boss K, Schmidt-Herzel J, Gajewska KA, Thieffry A, Schulze L, Posern B, Raile K. Shaping Workflows in Digital and Remote Diabetes Care During the COVID-19 Pandemic via Service Design: Prospective, Longitudinal, Open-label Feasibility Trial. JMIR Mhealth Uhealth. 2021 Apr 5;9(4):e24374.
Schmieding ML, Mörgeli R, Schmieding MAL, Feufel MA, Balzer F (2021).Benchmarking Triage Capability of Symptom Checkers Against That of Medical Laypersons: Survey Study. J Med Internet Res 2021;23(3):e24475.
Guinemer C, Boeker M, Weiss B, Fürstenau D, Balzer F, Poncette A (2020) Telemedicine in Intensive Care Units: Protocol of a Scoping Review. JMIR Research Protocols, 9(12), e19695.
Witte AK, Fürstenau D, Zarnekow R (2020) Digital Health Ecosystems for Sensor Technology Integration - A Qualitative Study on the Paradox of Data Openness. 41st International Conference on Information Systems (ICIS), Hyderabad, India.
Fürstenau D, Walz T, Genseler G, Haneke H, Mörgeli R, Spies C, Balzer F (2020). Tackling the Frailty Burden in German Healthcare: Learnings from the Implementation of Digital Health Solutions in a University Hospital Setting. Presented at Workshop on Implementation of Digital Health Solutions 2020 (WImDiH), Dresden, Germany.
Fürstenau D, Auschra C, Klein S, Gersch M (2019) A Process Perspective on Platform Management and Design Issues: Evidence from a Digital Platform in Health Care. Electronic Markets, 24(4), 581–596
Fürstenau D, Spies C, Gersch M, Vogel A, Mörgeli R, Poncette AS, Müller-Werdan U, Balzer F (2019) Sharing Frailty-Related Information in Perioperative Care: An Analysis from a Temporal Perspective. BMC Health Services Research, 19(1), Article 105.
Fürstenau D, Auschra C (2016). Open Digital Platforms in Health Care: Implementation and Scaling Strategies. 37th International Conference on Information Systems (ICIS), Dublin, Ireland.