EconBiz - Find Economic Literature
    • Logout
    • Change account settings
  • A-Z
  • Beta
  • About EconBiz
  • News
  • Thesaurus (STW)
  • Academic Skills
  • Help
  •  My account 
    • Logout
    • Change account settings
  • Login
EconBiz - Find Economic Literature
Publications Events
Search options
Advanced Search history
My EconBiz
Favorites Loans Reservations Fines
    You are here:
  • Home
  • Search: subject:"Patient pathway"
Narrow search

Narrow search

Year of publication
Subject
All
DTx 2 Deep learning 2 Interpretability 2 Interpretable machine learning 2 Interpretation plots 2 Patient pathway 2 Patienten 2 Patients 2 Process prediction 2 Sepsis 2 Type 2 diabetes 2 digital health applications 2 digital therapies 2 patient pathway 2 treatment process 2 Artificial intelligence 1 Cancer Patient Pathway 1 Cost-benefit analysis 1 Cost-effectiveness analysis 1 Denmark 1 Early cancer diagnosis 1 Economic evaluation 1 Forecasting model 1 Gesundheitsversorgung 1 Gesundheitsökonomik 1 Health care 1 Health economics 1 Healthcare policy 1 Hospital 1 Kosten-Nutzen-Analyse 1 Kosten-Wirksamkeits-Analyse 1 Krankenhaus 1 Künstliche Intelligenz 1 Medical treatment 1 Medizinische Behandlung 1 Neoplasm 1 Patient choice 1 Patient pathway management 1 Poland 1 Prognoseverfahren 1
more ... less ...
Online availability
All
Free 5 Undetermined 2
Type of publication
All
Article 5 Book / Working Paper 2
Type of publication (narrower categories)
All
Article in journal 2 Aufsatz in Zeitschrift 2 Working Paper 2 Arbeitspapier 1 Article 1 Graue Literatur 1 Non-commercial literature 1
more ... less ...
Language
All
English 3 German 2 Undetermined 2
Author
All
Brenner, Sophie 2 Kraus, Mathias 2 Matzner, Martin 2 Miersch, Claudia 2 Peters, Annika Sophie 2 Weinzierl, Sven 2 Zilker, Sandra 2 Zschech, Patrick 2 Apel, Christian 1 Baad-Hansen, Thomas 1 Boeger, Sophie 1 Busink, Ellen 1 Bünger, Cody 1 Dyrop, Heidi Buvarp 1 Hansen, Bjarne Hauge 1 Jørgensen, Peter Holmberg 1 Kaufmann, Hans Ruediger 1 Keller, Johnny 1 Kendzia, Dana 1 Kircelli, Fatih 1 Maretty-Nielsen, Katja 1 Mitchell, Stephen 1 Petrovic, Jovana 1 Rudawska, Iga 1 Safwat, Akmal 1 Smethurst, Helen 1 Vedsted, Peter 1
more ... less ...
Published in...
All
Health Care Management Science 1 Health Policy 1 Health care management science : a new journal serving the international health care management community 1 IU Discussion Papers - Gesundheit 1 IU discussion papers - Gesundheit 1 The European journal of health economics 1 World Review of Entrepreneurship, Management and Sustainable Development 1
more ... less ...
Source
All
ECONIS (ZBW) 3 EconStor 2 RePEc 2
Showing 1 - 7 of 7
Cover Image
Digitale Strategien im Diabetesmanagement: Interventionspunkte für digitale Gesundheitsanwendungen auf den Patientenpfad von Typ-2 Diabetes
Peters, Annika Sophie; Miersch, Claudia; Brenner, Sophie - 2025
This study explores the strategic integration of digital health applications (DTx) within the therapeutic pathways for managing Type 2 Diabetes Mellitus (T2DM) in outpatient settings. We aim to pinpoint effective junctures for DTx intervention, employing a comprehensive four-step methodology...
Persistent link: https://www.econbiz.de/10015202314
Saved in:
Cover Image
Digitale Strategien im Diabetesmanagement : Interventionspunkte für digitale Gesundheitsanwendungen auf den Patientenpfad von Typ-2 Diabetes
Peters, Annika Sophie; Miersch, Claudia; Brenner, Sophie - 2025
This study explores the strategic integration of digital health applications (DTx) within the therapeutic pathways for managing Type 2 Diabetes Mellitus (T2DM) in outpatient settings. We aim to pinpoint effective junctures for DTx intervention, employing a comprehensive four-step methodology...
Persistent link: https://www.econbiz.de/10015197483
Saved in:
Cover Image
A machine learning framework for interpretable predictions in patient pathways: The case of predicting ICU admission for patients with symptoms of sepsis
Zilker, Sandra; Weinzierl, Sven; Kraus, Mathias; … - In: Health Care Management Science 27 (2024) 2, pp. 136-167
Proactive analysis of patient pathways helps healthcare providers anticipate treatment-related risks, identify outcomes, and allocate resources. Machine learning (ML) can leverage a patient’s complete health history to make informed decisions about future events. However, previous work has...
Persistent link: https://www.econbiz.de/10015361777
Saved in:
Cover Image
A machine learning framework for interpretable predictions in patient pathways : the case of predicting ICU admission for patients with symptoms of sepsis
Zilker, Sandra; Weinzierl, Sven; Kraus, Mathias; … - In: Health care management science : a new journal serving … 27 (2024) 2, pp. 136-167
Persistent link: https://www.econbiz.de/10015079848
Saved in:
Cover Image
A systematic review of the cost-effectiveness of renal replacement therapies, and consequences for decision-making in the end-stage renal disease treatment pathway
Busink, Ellen; Kendzia, Dana; Kircelli, Fatih; Boeger, … - In: The European journal of health economics 24 (2023) 3, pp. 377-392
Persistent link: https://www.econbiz.de/10014328009
Saved in:
Cover Image
A quality management model for integrated healthcare in Poland
Rudawska, Iga; Kaufmann, Hans Ruediger - In: World Review of Entrepreneurship, Management and … 11 (2015) 2/3, pp. 247-266
identified items and clusters focus on patient pathway management, patient centeredness, inter-organisational and inter …
Persistent link: https://www.econbiz.de/10011266503
Saved in:
Cover Image
Cancer Patient Pathways shortens waiting times and accelerates the diagnostic process of suspected sarcoma patients in Denmark
Dyrop, Heidi Buvarp; Safwat, Akmal; Vedsted, Peter; … - In: Health Policy 113 (2013) 1, pp. 110-117
Cancer Patient Pathways (CPPs) for suspected cancer were implemented in Denmark to reduce waiting times for cancer diagnosis and treatment. Our study describes developments in time intervals and tumour size in a natural experiment before and after implementation of the CPP for sarcomas (January...
Persistent link: https://www.econbiz.de/10011048388
Saved in:
A service of the
zbw
  • Sitemap
  • Plain language
  • Accessibility
  • Contact us
  • Imprint
  • Privacy

Loading...