Progress Report 1 For Development Of Electronic Health Record In Australian Pharmaceutical Industries

Schedule review

The progress report is based on development of electronic health record in Australian Pharmaceutical Industries. The electronic health record system is used for generation of patient’s data which also automates the clinical workflows. This particular progress report is used to review the project schedule and risks so that the project plan can successfully develop and the organization can make of profit into the healthcare sector. Schedule is reviewed to analyze if the project can able to complete within scheduled time and risks are analyzed to prevent any difficulties into the project work (Wang, Kung and Byrd 2018). Finally, entire project summary is provided to make a proper understanding of the progress of project plan.

Schedule review

The total time required to complete development of electronic health information system in Australian Pharmaceutical Industries is 120 days. The start date of the project plan is 7^th August, 2018 and end date is 21^st august 2019. When the project manager reviews the schedule progress update, then it is required to determine if the schedule update is valid update or not (Ginter, Duncan and Swayne 2018).

There are also possibilities of changes into the scheduled date due to delay in any of the activity, therefore there is an increase of total time required to complete the project plan. There is change into understanding of the business process where there is delay of 3 days to complete this particular project activity (Kitapci, Akdogan and Dortyol 2014). In the planning phase, onsite assessment is increased by 2 days, and risk monitoring and control is delayed by 3 days.

Risk review

            The researcher has reviewed the risks while implementation of HER solutions is done into the healthcare industry. The risks are technical risk, resource risk, budget risk, schedule risk, privacy and security risk (Lehoux et al. 2014). From the project plan report, resource, privacy and security risk are high risk. Technical risk, budget risk and schedule risk are medium risks. After review of entire project plan, it is seen that there are some changes in level of risk such as:

From the risk matrix, it is analyzed that there are some changes into the identified risks as there are changes in technical risk, privacy and security risk and resource risk. After review of identified risks, privacy and security risks are extreme risk, technical risk are high risk, schedule, resource and budget risk are medium risk.

Summary

            It is summarized that there are some changes into the schedule due to delay in some of the project activities. Therefore, changes into one of the activity results into delay into entire project schedule. The project plan to implement of proposed system is consisted of initiation, planning, execution, control as well as closure phases. The scope of this particular study is to implement of innovative system that is user friendly for the system users. The benefits of this proposed system is that it is generated for increasing into effectiveness for providing medical care and new services.

The new business solutions are increasing capability to provide of medical care, increase into the business values and also increase into the business revenue. The proposed system is taking account of clinical requirements of health related information. It will upload the quality of system. Electronic health related information are upgraded to oblige as it is ending up with the patient experiences. The project plan is to be carried out with the schedule, adopted among the patients along with physicians.

References

Ginter, P.M., Duncan, W.J. and Swayne, L.E., 2018. The strategic management of health care organizations. John Wiley & Sons.

Kitapci, O., Akdogan, C. and Dortyol, I.T., 2014. The impact of service quality dimensions on patient satisfaction, repurchase intentions and word-of-mouth communication in the public healthcare industry. Procedia-Social and Behavioral Sciences, 148, pp.161-169.

Lehoux, P., Daudelin, G., Williams-Jones, B., Denis, J.L. and Longo, C., 2014. How do business model and health technology design influence each other? Insights from a longitudinal case study of three academic spin-offs. Research Policy, 43(6), pp.1025-1038.

Wang, Y., Kung, L. and Byrd, T.A., 2018. Big data analytics: Understanding its capabilities and potential benefits for healthcare organizations. Technological Forecasting and Social Change, 126, pp.3-13.