Post 1
Differentiate the process of evaluating health information technology systems from other types of evaluation in health care.
The process of evaluating health information technology systems (HITS) differ from other types of evaluation in health care in many aspects. For example, the evaluation of HITS focused on investment impacts and frame indicators for success (Rahimi & Vimarlund, 2007). Previous evaluations examine HITS focused on cost effective benefits and organization level benefits. Rahimi & Vimarlund (2007) report successful evaluation should apply multi-factor perspective to promote compressive analysis to identify qualifying factors, outcomes and barriers to successful implementation of HITS.
What specific strategies might you employ for an information system evaluation?
In addition to clear identification of characteristics involved in HITS and defining HIT related terminology experimental designs are excellent for studying system performance. Experimental designs can identify and promote changes in medical practice performance. In addition, the identification of appropriate assessment approaches such as usability testing, cognitive studies, ethnography studies or socio-technical factors (Laukka et al., 2020).
Assess the main challenges of designing a successful information system evaluation
Challenges involved in designing a productive information evaluation system are associated with limited information in previous studying researching HITS success following development and implementation. Evaluation studies in general pay more attention to the technical aspects and/or direct costs of the technology in use (Rahimi & Vimarlund, 2007). Additional barriers include but are not limited to poor research data surrounding the potential effects of the implementation. HITS applications are identified without analyzing them from an inter-organizational perspective. To successfully implement a HITS analysis of previous data is needed although limited. HITS analysis at a finical, organization, clinical, outcome and evidence-based level is needed to effectively design and implement HITS into everyday practice.
References
Laukka, E., Huhtakangas, M., Heponiemi, T., & Kanste, O. (2020). Identifying the roles of
healthcare leaders in HIT implementation: A scoping review of the quantitative and qualitative evidence. International Journal of Environmental Research and Public Health, 17(8). https://doi-org.ezp.waldenulibrary.org/10.3390/ijerph17082865eences
Rahimi, B., & Vimarlund, V. (2007). Methods to evaluate health information systems in
healthcare settings: A literature review. Journal of Medical Systems, 31(5), 397-432. doi:http://dx.doi.org/10.1007/s10916-007-9082-z
Post 2
Discussion Week 11: Information System Evaluation
Evaluation of health information technology (HIT) systems is conducted to identify any existing problems in the system through measuring specific indicators (Stylianides et al., 2018). Evaluation of HIT systems involves using evaluation frameworks, which are designed, developed, and implemented using various methodologies (Stylianides et al., 2018). For a HIT system evaluation framework to be effective, it should be designed and implemented based on the goals and purpose of the system and the specific needs of the particular healthcare setting (Stylianides et al., 2018). HIT evaluation is usually formative or summative. The steps for HIT evaluation include evaluation of intangible benefits, analysis of IS investment risk, and evaluation of tangible benefits.
Healthcare evaluation entails a critical assessment of an element of healthcare to establish whether it meets its objectives. The first step in healthcare evaluation is determining which study design will be used, for example, randomized, non-randomized, descriptive, or qualitative studies (Clarke et al., 2019). The second step is to determine the measures to be used, that is, inputs, process, outputs, or outcomes v. The third step in healthcare evaluation is to plan how and when to collect data, qualitative or quantitative data collection.
Goal-based evaluation would be my preferred strategy for a HIT evaluation. I would use specific goals from the organizational context to drive the evaluation and measure the IT system. Goal-based evaluation measures the level to which a program has achieved clear and specific objectives (Ababneh et al., 2017). The focus would be on the purposed services and outcomes of the HIT system. Factors that I would assess to determine the system’s effectiveness include hardware, software, computer networks, data, human resources, and user satisfaction (Ababneh et al., 2017). Challenges of designing a successful information system evaluation include identifying the appropriate unit of analysis for IT evaluation. Measure IS business value is often a challenging issue since the definition of value differs individually from one person to another since there are different individual opinions, views, and background (Ababneh et al., 2017). Besides, it is usually challenging to develop a clearly-defined evaluation scope, which is essential in providing pointers for the issues of evaluation dimensions and evaluation measures.
References
Ababneh, H., Shrafat, F., & Zeglat, D. (2017). Approaching information system evaluation methodology and techniques: a comprehensive review. International Journal of Business Information Systems, 24(1), 1-30.
Clarke, G. M., Conti, S., Wolters, A. T., & Steventon, A. (2019). Evaluating the impact of healthcare interventions using routine data. bmj, 365. https://doi.org/10.1136/bmj.l2239
Stylianides, A., Mantas, J., Roupa, Z., & Yamasaki, E. N. (2018). Development of an Evaluation Framework for Health Information Systems (DIPSA). Acta informatica medica : AIM : journal of the Society for Medical Informatics of Bosnia & Herzegovina : casopis Drustva za medicinsku informatiku BiH, 26(4), 230–234. https://doi.org/10.5455/aim.2018.26.230-234
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