Journal
BUSINESS & INFORMATION SYSTEMS ENGINEERING
Volume -, Issue -, Pages -Publisher
SPRINGER VIEWEG-SPRINGER FACHMEDIEN WIESBADEN GMBH
DOI: 10.1007/s12599-023-00813-y
Keywords
Digital maturity; Digitalization; Public health offices; Maturity models
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Requests for a coordinated response during the COVID-19 pandemic have exposed the limitations of locally-operating public health agencies (PHAs) and sparked interest in their digitalization. This paper presents a project that develops and evaluates a continuous maturity model, the PHAMM, for digitalizing PHAs in federally-managed local government settings. The model allows for a coordinated approach to formulating a vision and structuring steps, engaging employees in the transformation journey and facilitating the allocation of national funds for digitalization. The work expands the potential usage cases for maturity models and offers insights on incentivizing local digitalization in federal fields.
Requests for a coordinated response during the COVID-19 pandemic revealed the limitations of locally-operating public health agencies (PHAs) and have resulted in a growing interest in their digitalization. However, digitalizing PHAs - i.e., transforming them technically and organizationally - toward the needs of both employees and citizens is challenging, especially in federally-managed local government settings. This paper reports on a project that develops and evaluates a continuous (vs. a staged) maturity model, the PHAMM, for digitalizing PHAs as a cornerstone of a digitally resilient public health system in the future. The model supports a coordinated approach to formulating a vision and structuring the steps toward it, engaging employees along the transformation journey necessary for a federally-managed field. Further, it is now being used to allocate substantial national funds to foster digitalization. By developing the model in a coordinated approach and using it for distributing federal resources, this work expands the potential usage cases for maturity models. The authors conclude with lessons learned and discuss how the model can incentivize local digitalization in federal fields.
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