Papers
Topics
Authors
Recent
Detailed Answer
Quick Answer
Concise responses based on abstracts only
Detailed Answer
Well-researched responses based on abstracts and relevant paper content.
Custom Instructions Pro
Preferences or requirements that you'd like Emergent Mind to consider when generating responses
Gemini 2.5 Flash
Gemini 2.5 Flash 43 tok/s
Gemini 2.5 Pro 49 tok/s Pro
GPT-5 Medium 17 tok/s Pro
GPT-5 High 19 tok/s Pro
GPT-4o 96 tok/s Pro
Kimi K2 197 tok/s Pro
GPT OSS 120B 455 tok/s Pro
Claude Sonnet 4 36 tok/s Pro
2000 character limit reached

Maturity assessment and maturity models in healthcare: A multivocal literature review (1910.06076v1)

Published 5 Oct 2019 in cs.CY

Abstract: Context: Maturity of practices and infrastructure in healthcare domain directly impacts the quality and efficiency of healthcare services. Therefore, various healthcare administrations (e.g., hospital management to nation-wide health authority) need to assess and improve their operational maturity. Objective: This study aims to review and classify studies that propose/use maturity assessment or maturity models (MMs) as a vehicle to achieve operational excellence in healthcare domain. Method: To achieve this objective, we performed a Multivocal Literature Review (MLR) that is a form of Systematic Review and includes data from the grey literature (e.g., white papers and online documents) in addition to formal, peer-reviewed literature. Results: Based on 101 sources, 80 of which are from the peer-reviewed literature and 21 are from the grey literature, we identified 68 different MMs on, e.g., telemedicine, care pathways, and digital imaging. We reviewed them with respect to various aspects including: types of research and contribution; list of MMs proposed/used with their subject focuses; elements of maturity/capability; and application scope or scale. In the synthesis of empirical benefits of using MMs, two were found significant: (1) Identifying issues and providing guidance for improvement in healthcare contexts; (2) Improving efficiency, effectiveness, performance, and productivity. Conclusion: This MLR provides an overview of the landscape and serves as an index to the vast body of knowledge in this area. Our review creates an opportunity to cope with the challenges in getting an overview of the state-of-the-art and practice, choosing the most suitable models, or developing new models with further specialties.

Citations (36)
List To Do Tasks Checklist Streamline Icon: https://streamlinehq.com

Collections

Sign up for free to add this paper to one or more collections.

Summary

We haven't generated a summary for this paper yet.

Dice Question Streamline Icon: https://streamlinehq.com

Follow-Up Questions

We haven't generated follow-up questions for this paper yet.