scholarly journals A Competency Model for the Information Technology Workforce: Implications for Training and Selection

Author(s):  
Shuk Ying Ho ◽  
Keith Frampton
JAMIA Open ◽  
2018 ◽  
Vol 1 (2) ◽  
pp. 188-194 ◽  
Author(s):  
William R Hersh ◽  
Keith W Boone ◽  
Annette M Totten

Abstract Objective There is little readily available data about the size and characteristics of the healthcare information technology workforce. We sought to update a previous description of the size, growth, and characteristics of this workforce based on the Healthcare Information Management Systems Society (HIMSS) Analytics® Database, a resource that includes hospital size, number of beds, amount of staffing, and an eight-stage model of electronic health record adoption (Electronic Medical Record Adoption Model, EMRAM℠). Materials and Methods We updated an analysis done using a 2007 snapshot of the HIMSS Analytics Database with a comparable snapshot from 2014 in order to estimate the size of the current workforce and project future needs. For the 2014 data, we applied the same weighted average analysis used in 2007 to obtain a ratio of information technology (IT) hospital full-time equivalent (FTE) to staffed beds, extrapolate the results to all US hospitals, and project the workforce needs as hospitals achieve higher EMRAM stages. Results Our estimated size of the healthcare information technology workforce in the US in 2014 was 161 160, which was 8.0% larger than the estimate based on the 2007 data. Based on the new data, we project a potential need for an additional 19 852 and 153 114 FTE, if all hospitals were to achieve EMRAM Stages 6 and 7, respectively. The distribution of FTE across job function category varies by EMRAM stage. Discussion and Conclusions Although these data are limited, especially for EMRAM Stage 7, there is likely need for substantial workforce growth as hospitals increase their adoption of advanced healthcare information technology. Further research with data better focused on workforce characteristics will provide a better picture of staffing requirements.


2009 ◽  
pp. 2493-2509
Author(s):  
Haiyan Huang ◽  
Eileen M. Trauth

This chapter discusses cultural diversity challenges in globally distributed software development and the implications for educating and managing the future global information technology workforce. It argues that the work practices of global software development are facing a variety of challenges associated with cultural diversity, which are manifested in and can be analyzed from three dimensions: the work environment of global software development, the globally distributed knowledge workers, and the global software development work. It further articulates how cultural diversity is manifested in these three dimensions. Furthermore, it highlights the importance of developing cultural awareness and cultural diversity understanding as important skills for the future information technology workforce.


2021 ◽  
Author(s):  
Husanjot Chahal ◽  
Sara Abdulla ◽  
Jonathan Murdick ◽  
Ilya Rahkovsky

With its massive information technology workforce, thriving research community and a growing technology ecosystem, India has a significant stake in the development of artificial intelligence globally. Drawing from a variety of original CSET datasets, the authors evaluate India’s potential for AI by examining its progress across five categories of indicators pertinent to AI development: talent, research, patents, companies and investments, and compute.


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