There have been great advancement in technology today, with effects seen across varying fields from education, hospitability, research, agriculture etc. These technological advancements have been felt across the world and has improved processes and increased efficiency. While these technological advancements have been helpful in increasing accuracy and reducing processing time, this has not been the case in all industries. One of the fields that has not fully benefited from the technological advancements is the healthcare system.
Notably, there have been improvements technology that has led to quick diagnosis and treatment options. These technological improvements have even helped in drug research and development processes as noted by Atanasov et al. (2021). Some treatment options such as invasive surgeries have become less dangerous and easier to operate. However, these advancements have mainly been observed in the improvements of the hardware component of healthcare provision. While this is commendable, more software improvements should be introduced in the healthcare system.
One of the healthcare departments that requires a more efficient system is the checking-in of patients. Many injured and sick people lose their lives in the ‘waiting room’. This happens due to a number of reasons such as over-booked hospitals, lack of proper check-in system for incoming patients etc (Marbouh et al., 2020). While we have ambulances to keep patients stable, the hospitals fail to pick up the pace when the patient arrives in the hospital. This was evident during the COVID-19 outbreak where many patients died without getting attended to in the hospitals (Feist et al., 2020). Some healthcare facilities have long check-in processes forcing the patients to wait a long time before they are attended to by the doctors. This process can easily be solved by having a well-implemented IT system in place. This report will look into the implementation of such a project and how it would best solve this problem.
The project can be implemented in a particular district before it is rolled over to the rest of the country. The project: ‘Hospital Check-in System’ will be implemented based on clearly defined guidelines and limitations as given below:
The project will be implemented across 6 hospitals in a given district. The system is expected to link potential patients to Emergency Medical Providers (EMTs) to Hospitals and to provide a smooth transition. This will work by having patients have a pre-recorded medical history on the system which can easily be accessed by the EMTs and the hospitals by a simple fingerprint swipe. This will reduce the time taken to ask the patient their medical history, allergies and the treatments they are on. This will further improve the Emergency Medical Providers role in bridging the gap by offering intervention while transitioning the patient to the hospital (Munjal et al., 2020). The patient can frequently update the medical history on the system which can also be accessed by medical insurance companies as authorized by the patient.
The IT system should also link EMTs and Hospitals by allowing EMTs to access the current hospital capacity to avoid them from taking critical patients to hospital that are not in the right capacity to take care of them. The system can suggest which hospital, with the right medical equipment and capacity is nearest to admit the patient based on the patient’s critical conditions. The EMTs can update the patient’s medical condition on the system so that the hospital is ready to receive the patient as soon as they arrive.
The main aim of implementing this project in the healthcare sector include:
The IT system will work best if it is adopted by the following relevant stakeholders:
This project can take about 6 months to roll out to the relevant stakeholders in one district. Implementation might take longer and will require the potential patients to have a well-updated health record on the system
The project implementation will use concepts from both the Project Management Book of Knowledge (PBOK) and Agile Methodologies. Agile methodology is often used in software development cycle (Shameem et al., 2020). The PMBOK has been used to ensure smooth implementation of the project lifecycle (El Khatib et al., 2020). The project implementation will follow the structure given below:
The project was based on deliverables that ought to improve the healthcare system and reduce the time lag the patients have to get medical care. The project will be evaluated based on these deliverables. This can easily be done on the system since the system tracks the patient’s health progress from check-in to medical attention to release from hospital. The system can also help reduce congestion in certain hospitals by directing EMTs to the more available hospitals with more resources for a given condition. This data can easily be compared and evaluated form the old system. In cases where the old system performed better, the new IT system can implement the concept and hopefully improve. Kissi et al. (2019) argues that project evaluation is often done to examine the impact of the project based on pre-defined success criteria. Evaluation can also help identify unexpected errors and inconsistencies and resolve them.
The system can be ready for implementation at this stage but it still holds promise for areas of improvement and future development. While the system holds promise in solving one of the main challenges facing healthcare provision, there is also potential risk associated with it. Medical records are very sensitive information and unauthorized access to the records might have potential harm (Mijwil et al, 2023). Therefore, efforts should be put to continuously ensure the system is well protected against data-breach and to ensure advanced cyber security.
The system can further be improved by having the patient track their medication and even book appointments to various hospitals on the system. This can be made possible by having user-based apps that allow the patient easily communicate with healthcare providers. Further, the system can have access to medical journals e.g. on First Aid, Healthy eating etc that can be useful for the patients’ read (Maggio et al., 2020). This will reduce the increasing cases where sick and injured tend to go to unreliable internet sources for medical opinion. The system holds great potential for the future of healthcare provision in the country and across the globe.
Atanasov, A. G., Zotchev, S. B., Dirsch, V. M., & Supuran, C. T. (2021). Natural products in drug discovery: advances and opportunities. Nature reviews Drug discovery, 20(3), 200-216.
El Khatib, M., Nakand, L., Almarzooqi, S., & Almarzooqi, A. (2020). E-Governance in Project Management: Impact and Risks of Implementation.
Feist, J. B., Feist, J. C., & Cipriano, P. (2020). Stigma compounds the consequences of clinician burnout during COVID-19: a call to action to break the culture of silence. NAM perspectives, 2020.
Kim, M. (2020). Software engineering for data analytics. IEEE Software, 37(4), 36-42.
Kissi, E., Agyekum, K., Baiden, B. K., Tannor, R. A., Asamoah, G. E., & Andam, E. T. (2019). Impact of project monitoring and evaluation practices on construction project success criteria in Ghana. Built Environment Project and Asset Management.
Maggio, L. A., Willinsky, J. M., Costello, J. A., Skinner, N. A., Martin, P. C., & Dawson, J. E. (2020). Integrating Wikipedia editing into health professions education: a curricular inventory and review of the literature. Perspectives on medical education, 9, 333-342.
Marbouh, D., Khaleel, I., Al Shanqiti, K., Al Tamimi, M., Simsekler, M. C. E., Ellahham, S., ... & Alibazoglu, H. (2020). Evaluating the impact of patient no-shows on service quality. Risk management and healthcare policy, 13, 509.
Mijwil, M., Aljanabi, M., & Ali, A. H. (2023). ChatGPT: Exploring the Role of Cybersecurity in the Protection of Medical Information. Mesopotamian journal of cybersecurity, 2023, 18-21.
Munjal, K. G., Shastry, S., Chapin, H., Tan, N., Misra, A., Greenberg, E., ... & Richardson, L. D. (2020). Retrospective cohort study of rates of return emergency department visits among patients transported home by ambulance. The Journal of Emergency Medicine, 59(1), 147-152.
Shameem, M., Kumar, R. R., Nadeem, M., & Khan, A. A. (2020). Taxonomical classification of barriers for scaling agile methods in global software development environment using fuzzy analytic hierarchy process. Applied Soft Computing, 90, 106122.
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