Research Institutions’ Use of HealthSuite
There are multiple ways in which research institutions and universities can benefit from the use of the HealthSuite digital platform (Quelch and Rodriguez 7). Analytics services offered by HealthSuite may be deployed by research establishments to build contextual predictive analytics and algorithms for decision support. This means that research universities would find it much easier to deal with the complexity of big data by utilizing innovative approaches offered by the analytics services of HeealthSuite. In particular, researchers could obtain models of higher quality since HealthSuite is good at creating data within the appropriate context and conducting real-time contextual analysis.
Considering that analytics services of HealthSuite deploy efficient machine learning functionality, research universities will be assisted in research data management which has always been a challenging task (Amorim et al. 101). It should be mentioned that this digital platform enables research institutions to drive precise and actionable insights from obtained data. One of the analytics services in the HealthSuite digital platform is the HealthSuite Workbench that creates an environment for the development of new analytical models.
Research universities can use this analytics service to manage data science projects in one place. The Workbench allows researchers to choose the best frameworks for deep learning, image analytics, and natural language processing (Consoli et al. 34). Researchers can thus improve their models using already available ones. Research institutions that create documentation that contains equations, live codes, and visualizations can benefit from the use of integrated development environments offered by the Workbench. If the research team is decentralized, the Workbench facilitates collaboration between researchers by making it possible to share projects with colleagues.
There are other assets offered by the HealthSuite digital platform which research establishments can utilize. HealthSuite Insights is an analytics service that gives research universities access to advanced analytic capabilities to curate and assesses obtained research data. Sometimes, artificial intelligence solutions can be time-consuming and require the inefficient use of resources. HealthSuite Insights can be helpful for researchers in dealing with logistical challenges faced when integrating AI solutions in research environments. Thus, research institutions can gather all the obtained research data, curate it, and utilize artificial intelligence for decision-making.
The Added Value for Research Institutions in Using HealthSuite
Currently, many research organizations, including institutions, heavily invest in IT solutions due to the need for better analytical capabilities for continuous improvement (Child et al. 125; Reuver et al. 125). The utilization of the above-mentioned analytics services, such as the Workbench and the HealthSuite Insights, adds value to the research institutions as it facilitates data management and gives more opportunities to operate data. With HealthSuite, research universities can accelerate the working process by analyzing big data and leveraging parallel processing capabilities (Healthcare Information and Management Systems Society). In particular, using the Workbench analytics service, researchers can manage research data more efficiently and spend less time elaborating models since the service already has a selection of the best frameworks. HealthSuite Insights promotes the conduction of thorough research with the efficient allocation of resources and cost minimization.
Conclusion
There is a growing number of research universities and institutions investing in data and analytical services offered by HealthSuite to develop models for data collection, data management, and data interpretation. By adding value to the data, the Workbench and HealthSuite Insights add value to research establishments through careful analysis, which presents data-driven insights and findings. It can be stated that analytics services for data management and storage are effective in enhancing research performance and outcomes.
Works Cited
Amorim, Ricardo Carvalho, et al. “A Comparative Study of Platforms for Research Data Management: Interoperability, Metadata Capabilities and Integration Potential.” New Contributions in Information Systems and Technologies Advances in Intelligent Systems and Computing, 2015, pp. 101–111.
Child, John, et al. Cooperative Strategy: Managing Alliances and Networks. 3rd ed., Oxford University Press, 2019.
Consoli, Sergio, et al., editors. Data Science for Healthcare: Methodologies and Applications. Springer, 2019.
Healthcare Information and Management Systems Society. “Philips HealthSuite Digital Platform and Interoperability.”Healthcare Information and Management Systems Society, 2016, Web.
Quelch, John A., and Margaret L. Rodriguez. “Philips Healthcare: Marketing the HealthSuite Digital Platform.”Harvard Business School, Web.
Reuver, Mark, et al. “The Digital Platform: A Research Agenda.” Journal of Information Technology, vol. 33, no. 2, 2017, pp. 124–135.