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An Electronic System for Behavioral Healthcare Providers

The digitalization of healthcare services and the key processes within healthcare organizations has become ubiquitous, which has led to a range of EHR-based systems being introduced to the organizational context of hospitals and nursing environments. MedEZ is one of those tools, and it has been widely utilized for improving the management of cases of mental health issues. By offering vast options for customization of the key tasks and active training o new recruits, MedEZ has changed the setting of multiple mental health facilities. Specifically, due to MedEZ, staff members have been able to properly document the processes of managing mental health issues in patients, as well as scheduling and billing accordingly (“Behavioral health,” 2021). However, the tool lags quite often; moreover, the situations in which several staff members have to access the software at once while patients wait to create rather awkward moments.

The issues mentioned above can be attributed to the mismanagement of the system’s Development Life Cycle (SDLC). Indeed, with a proper and accurate understanding of an SDLC, healthcare experts are likely to overcome the challenges in timing the application of the tool and ensure that the quality of the services remains at the proper level (Bakar et al., 2019). Specifically, by planning the necessary steps for managing the needs of the target patients, designing the system that will allow processing of their requests in a timely manner, implementing it with the help of the agile project management techniques, and controlling its performance with the help of appropriate digital applications, one will manage the time constraints caused primarily by delays (Olaronke et al., 2018). As a result, the workflow process can be improved significantly, allowing experts to write orders, dictate clinic notes, and educate patients as the workflow within a mental healthcare facility instructs.

References

Bakar, N. A., Ramli, W. M. W., & Hassan, N. H. (2019). The internet of things in healthcare: an overview, challenges and model plan for security risks management process. Indonesian Journal of Electrical Engineering and Computer Science (IJEECS), 15(1), 414-420.

Behavioral health. (2021).

Olaronke, I., Rhoda, I., Gambo, I., Oluwaseun, O., & Janet, O. (2018). Prospects and problems of brain computer interface in healthcare. Current Journal of Applied Science and Technology, 23, 1-7.

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StudyKraken. (2022, July 13). An Electronic System for Behavioral Healthcare Providers. Retrieved from https://studykraken.com/an-electronic-system-for-behavioral-healthcare-providers/

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StudyKraken. (2022, July 13). An Electronic System for Behavioral Healthcare Providers. https://studykraken.com/an-electronic-system-for-behavioral-healthcare-providers/

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"An Electronic System for Behavioral Healthcare Providers." StudyKraken, 13 July 2022, studykraken.com/an-electronic-system-for-behavioral-healthcare-providers/.

1. StudyKraken. "An Electronic System for Behavioral Healthcare Providers." July 13, 2022. https://studykraken.com/an-electronic-system-for-behavioral-healthcare-providers/.


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StudyKraken. "An Electronic System for Behavioral Healthcare Providers." July 13, 2022. https://studykraken.com/an-electronic-system-for-behavioral-healthcare-providers/.

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StudyKraken. 2022. "An Electronic System for Behavioral Healthcare Providers." July 13, 2022. https://studykraken.com/an-electronic-system-for-behavioral-healthcare-providers/.

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StudyKraken. (2022) 'An Electronic System for Behavioral Healthcare Providers'. 13 July.

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