EconPapers    
Economics at your fingertips  
 

The Digitalization of Consulting and Auto-Assignment of Experts in the MedTech and Life Sciences Industries

Thorsten Knape (), Moritz Fröhlich () and Peter Hufnagl ()
Additional contact information
Thorsten Knape: Berlin University of Applied Sciences - Hochschule Für Technik Und Wirtschaft (HTW)
Moritz Fröhlich: Berlin University of Applied Sciences - Hochschule Für Technik Und Wirtschaft (HTW)
Peter Hufnagl: Berlin University of Applied Sciences - Hochschule Für Technik Und Wirtschaft (HTW)

A chapter in Digital Transformation of the Consulting Industry, 2018, pp 427-442 from Springer

Abstract: Abstract The development of a technology product or process in the healthcare sector or the life science industry is generally characterized as being highly diversified and complex. Developing an electronic medical implant, for instance, requires an interdisciplinary team of engineers, computer and data scientists, chemists, biologists, and user experience (UX) designers. For consulting projects in the MedTech industry, this means that there is a high demand for specialized experts. The present work proposes an approach for digitalizing consulting to efficiently deal with the requirements of the high cost and low availability of experts in the medical technology sector. As a representative of a scientific consulting service for small and medium-sized enterprises (SMEs), we have designed an agile consulting digitalization process for the CBMI of the HTW Berlin. To this end, the first step is to realize a prototype system of an online consulting platform that finds and matches project partners having the same professional areas of interest. To illustrate and discuss our conceptual findings, this paper presents a scenario of the consulting process for product development in the medical sector.

Date: 2018
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:prochp:978-3-319-70491-3_19

Ordering information: This item can be ordered from
http://www.springer.com/9783319704913

DOI: 10.1007/978-3-319-70491-3_19

Access Statistics for this chapter

More chapters in Progress in IS from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-05-18
Handle: RePEc:spr:prochp:978-3-319-70491-3_19