1.Problem statement
The hospital’s clinical redesign and the educational unit have appointed a manager at their premises. The hospital management has decided to upgrade the existing electronic health record software. Significant changes in the software has been planned to be made. There will be new software, so there will be software changes as well as hardware changes. A large change management is required.
The new functionality addresses some of the key requirements which include the cardiology as well as respiratory. New initiatives and new approaches have been planned to build within the EMR and this initiative will help to manage the stroke, cardiology and the hip fracture. The latest software build will be able to hold lots of information that are shared over the polyclinic and the community based service programs.
Mount Pleasant Hospital wants to implement the software and they desperately want to make the project successful. They will provide funding for the project. The project funding will be helpful for staff education, clinical pathways and other tasks that need to be carried out urgently.
The newly appointed project manager will have to develop the project plan. The project plan will consist of the important details about the project budget and the information that must be shared. The executive of the hospital will provide some excess data that will be helpful to start the project plan.
The hospital executive wishes to complete the project plan within three weeks. The project plan will contain the deliverables of the project that the project stakeholders will complete. The project deliverables will also include data how the project plan will be improved and how the project can be accomplished successfully.
The new software is being planned to start from May 2018 and the software will take 6 months to complete and it will end up installing at December 2018.
The project scope contains details the educational requirements. The quantification of the education requirements for the latest EMR release is within the scope of the project. The project scope also involves the size as well as cost of the change management process for the implementation. The project scope involves solutions identification as well as the approaches. The stages of the project and the milestones, ongoing IT/IS support requirements are within the scope of the project.
Project goal
The goal of the project is to develop the software that will help to treat the patients and the in turn the hospital can provide excellent services to the patients. The patients can communicate with the hospital and the doctors all the time and will get suitable advice. They will be provided care throughout day and night. The electronic health record system will keep record of every detail of the patients, doctors and the hospital. The management staff of the hospital can be able to track the hospital staff, in this way they can know how the hospital is getting operated, what can be done to improve the process of the hospital. The patients’ health records will be recorded in the database by the software. They can know the patients’ health, patients’ nature and can assess how they can be served better. Thus the project plan has lots to offer. The goal of the project is to develop the electronic health record software that will enhance the business of the hospital.
Project Objectives
Specific
The electronic health record will give the hospital immense benefits. They can be able to track the employees. They can be to know how their business is running, how the business process can be improved. The project managers and the management staff of the hospital are involved with this project. The stakeholders of the project are the project manager, the project sponsor, the coders, the testers and the trainers.
Measurable
The project will take almost 6 months to complete and the budget required to develop the new software will be under considerable budget.
Achievable
The coders are responsible to develop the software according to the needs of the doctors and the patients of the hospital. The tester will evaluate the software multiple times using several scenarios and will ultimately launch the product or the software.
Realistic
Mount Pleasant Hospital wants to enhance their business process. They want a system by which they can keep track of the employees; they want a system by which they can be able to know the behaviours of the patients or the customers
Time limited
The project must be completed within the given timeframe and the project must not be delayed. The project must be completed within stipulated budget. The project stakeholders assigned for the project must complete the project within stipulated deadline and budget.
Based on evidence of “what works”
The management staffs of the hospital decide to implement software by which they can be bale to track employees and can know the demands of the patients or the customers. The electronic health record system will surely improvise their business
Actionable
The project manager is in charge to take up the project activities. It is his responsibility to assign stakeholders based on their skills and expertise, the coders will develop the software, the tester will tests whether the software can bring them real benefits or them. Finally project manager will analyse whether the project is meeting the basic demands of the hospital or not.
Feasible
The business analyst is responsible to carry out the feasibility analysis. The feasibility analysis will help to know the risks associated with the project. The project must be completed after the risk analysis. The risk analysis is conducted and after that the risk mitigation procedures are initiated.
Sustainable
The risk mitigation procedures will help to implement a sustainable environment. The sustainable environment will ensure the project will be accomplished in timely manner with efficiency
Able to address political and stakeholder issues
The stakeholder may have issues which must be taken into consideration. The coder may face issues to develop the electronic health record in time. The tester may face issues while testing and may find some bugs. The coder may have to modify the software again
Ethical
The electronic health record must be developed in such a way that the hospital can conduct the business operations smoothly. If the software contains some flaws then it will be disrupted. There may be chances of security breaches and the hospital can lose some of the confidential data
Selected because they have the highest impact
The software adaptation is of highest necessity. The software will provide the hospitals immense benefits
Deliverables
The project consists of analysis of project scope, after that come the analysis of the electronic health record project requirements. Designs of electronic health record system, development of the software testing of the software are the main aspects or the main deliverables of the project that needs to considered.
Work breakdown structure to detail tasks; schedule, sequencing and timeframe
WBS |
Task Name |
Duration |
Start |
Finish |
Predecessors |
0 |
Electronic Health Record Project Plan |
187 days |
Mon 28-05-18 |
Tue 12-02-19 |
|
1 |
Project Scope of the Software |
11 days |
Mon 28-05-18 |
Mon 11-06-18 |
|
1.1 |
Detailed Analysis of Project Scope |
5 days |
Mon 28-05-18 |
Fri 01-06-18 |
|
1.2 |
Selecting Resources for the Software Project |
6 days |
Mon 04-06-18 |
Mon 11-06-18 |
2 |
2 |
Electronic Health Record Project Requirements Analysis |
27 days |
Tue 12-06-18 |
Wed 18-07-18 |
|
2.1 |
Conducting Need Analysis of Electronic Health Record |
8 days |
Tue 12-06-18 |
Thu 21-06-18 |
3 |
2.2 |
Preview of Electronic Health Record Project Specifications |
6 days |
Fri 22-06-18 |
Fri 29-06-18 |
5 |
2.3 |
Draft Preparation for initial Electronic Health Record Specifications |
7 days |
Mon 02-07-18 |
Tue 10-07-18 |
6 |
2.4 |
Getting Approvals to Proceed Further |
6 days |
Wed 11-07-18 |
Wed 18-07-18 |
7 |
3 |
Electronic Health Record Project Design Specifications |
13 days |
Thu 19-07-18 |
Mon 06-08-18 |
|
3.1 |
Review of Electronic Health Record Project Specifications |
6 days |
Thu 19-07-18 |
Thu 26-07-18 |
8 |
3.2 |
Getting Approval for further Proceed |
7 days |
Fri 27-07-18 |
Mon 06-08-18 |
10 |
4 |
Electronic Health Record Software Development |
27 days |
Tue 07-08-18 |
Wed 12-09-18 |
|
4.1 |
Functional Specifications Detailed Review |
4 days |
Tue 07-08-18 |
Fri 10-08-18 |
11 |
4.2 |
Development Staff Assigning for the Project |
5 days |
Mon 13-08-18 |
Fri 17-08-18 |
13 |
4.3 |
Developing Code for the Software Project |
6 days |
Mon 20-08-18 |
Mon 27-08-18 |
14 |
4.4 |
Electronic Health Record Software Testing |
4 days |
Tue 28-08-18 |
Fri 31-08-18 |
15 |
4.5 |
Development of Unit Test Plans |
8 days |
Mon 03-09-18 |
Wed 12-09-18 |
16 |
5 |
Development of Integration Test Plans |
49 days |
Thu 13-09-18 |
Tue 20-11-18 |
|
5.1 |
Conduct Unit Testing |
20 days |
Thu 13-09-18 |
Wed 10-10-18 |
|
5.1.1 |
Detailed Testing of Component modules |
10 days |
Thu 13-09-18 |
Wed 26-09-18 |
17 |
5.1.2 |
Analysing Anomalies to SAP Project Specifications |
10 days |
Thu 27-09-18 |
Wed 10-10-18 |
20 |
5.2 |
Conducting Integration Testing |
29 days |
Thu 11-10-18 |
Tue 20-11-18 |
|
5.2.1 |
Assessing Test Module for Electronic Health Record Software Project |
14 days |
Thu 11-10-18 |
Tue 30-10-18 |
21 |
5.2.2 |
Integration of Test Module for the Electronic Health Record Software Project |
15 days |
Wed 31-10-18 |
Tue 20-11-18 |
23 |
6 |
Carrying Out Training |
35 days |
Wed 21-11-18 |
Tue 08-01-19 |
|
6.1 |
Carrying Out Usability Study for Electronic Health Record Project |
14 days |
Wed 21-11-18 |
Mon 10-12-18 |
24 |
6.2 |
Finalising Training Materials for the Electronic Health Record Project |
14 days |
Tue 11-12-18 |
Fri 28-12-18 |
26 |
6.3 |
Quality Checking Training |
7 days |
Mon 31-12-18 |
Tue 08-01-19 |
27 |
7 |
Preparing Documentation for Electronic Health Record Software Project |
8 days |
Wed 09-01-19 |
Fri 18-01-19 |
28 |
8 |
Software Deployment |
8 days |
Mon 21-01-19 |
Wed 30-01-19 |
29 |
9 |
Post Implementation Review |
9 days |
Thu 31-01-19 |
Tue 12-02-19 |
30 |
The risks associated with the project has been showcased below-
iii. Not managing the change within the project in effective manner- There will be several changes in the project when it is undergoing. The project manager must take the responsibility and must update the project plan along with project report.
Mount Pleasant Hospital Management staff, project manager, deployment team, tester, coder and the operational analysts are the stakeholder who will carry out the project.
Resource Name |
Mount Pleasant Hospital Management Staff |
Project Manager |
Operations Analyst |
Coder |
Trainer |
Deployment Team |
Technical Communicators |
Tester |
Resource Name |
Role |
Mount Pleasant Hospital Management Staff |
They are the sponsors of the project |
Project Manager |
Prepares project plan for development of electronic health record software |
Operations Analyst |
Conducts business operations |
Coder |
Develops software |
Trainer |
Provides training to the employees |
Deployment Team |
They will deploy the software |
Technical Communicators |
They will prepare the documentation |
Tester |
They will test the software on the basis of several cases |
Task Name |
Resource Names |
Cost |
Electronic Health Record Project Plan |
$45,760.00 |
|
Project Scope of the Software |
$3,320.00 |
|
Detailed Analysis of Project Scope |
Mount Pleasant Hospital Management Staff |
$1,400.00 |
Selecting Resources for the Software Project |
Project Manager |
$1,920.00 |
Electronic Health Record Project Requirements Analysis |
$7,800.00 |
|
Conducting Need Analysis of Electronic Health Record |
Mount Pleasant Hospital Management Staff |
$2,240.00 |
Preview of Electronic Health Record Project Specifications |
Mount Pleasant Hospital Management Staff |
$1,680.00 |
Draft Preparation for initial Electronic Health Record Specifications |
Mount Pleasant Hospital Management Staff |
$1,960.00 |
Getting Approvals to Proceed Further |
Project Manager |
$1,920.00 |
Electronic Health Record Project Design Specifications |
$3,120.00 |
|
Review of Electronic Health Record Project Specifications |
Operations Analyst |
$1,440.00 |
Getting Approval for further Proceed |
Operations Analyst |
$1,680.00 |
Electronic Health Record Software Development |
$6,480.00 |
|
Functional Specifications Detailed Review |
Coder |
$960.00 |
Development Staff Assigning for the Project |
Coder |
$1,200.00 |
Developing Code for the Software Project |
Coder |
$1,440.00 |
Electronic Health Record Software Testing |
Coder |
$960.00 |
Development of Unit Test Plans |
Coder |
$1,920.00 |
Development of Integration Test Plans |
$11,760.00 |
|
Conduct Unit Testing |
$4,800.00 |
|
Detailed Testing of Component modules |
Tester |
$2,400.00 |
Analysing Anomalies to SAP Project Specifications |
Tester |
$2,400.00 |
Conducting Integration Testing |
$6,960.00 |
|
Assessing Test Modue for Electronic Health Record Software Project |
Tester |
$3,360.00 |
Integration of Test Module for the Electronic Health Record Software Project |
Tester |
$3,600.00 |
Carrying Out Training |
$7,840.00 |
|
Carrying Out Usability Study for Electronic Health Record Project |
Trainer |
$2,800.00 |
Finalising Training Materials for the Electronic Health Record Project |
Trainer |
$2,800.00 |
Quality Checking Training |
Project Manager |
$2,240.00 |
Preparing Documentation for Electronic Health Record Software Project |
Technical Communicators |
$1,280.00 |
Software Deployment |
Deployment Team |
$1,280.00 |
Post Implementation Review |
Project Manager |
$2,880.00 |
This section contains information about the budget that is required for the project. Full budget details and an appropriate cashflow should be provided in the appendix to the Project Plan.
Information |
Receiver |
Timing of Communication |
Communication Method |
Sender |
Preparing Documentation (Draft) |
Operations Analyst and Project Manager |
As per requirement |
Through email |
Mount Pleasant Hospital Management Staff |
Preparing Documentation (Approval) |
Mount Pleasant Hospital Management Staff and Project Team |
As per requirement |
Through email |
Business Analyst, Project Manager |
Time, Hours and Detailed Usage |
Operational Analyst |
On weekly basis |
Through email |
Project Manager |
Creation of Project Status Report |
Operational Analyst |
On monthly basis |
Through email |
Business Analyst |
Changes in team status |
Project Manager |
On monthly basis |
Meeting, Phone Calls |
Project Manager |
Detailed approval of project cost |
Operational Analyst |
As per requirement |
Through email |
Business Analyst |
Internal Work Requests |
Operational Analyst |
As per requirement |
Through email |
Mount Pleasant Hospital Management Staff |
External Work Requests |
Operational Analyst |
As per requirement |
Through email, fax |
Project Manager |
Detailed Request for Review |
Mount Pleasant Hospital Management Staff |
As per requirement |
Through email |
Project Manager, Mount Pleasant Hospital Management Staff |
References
Birkhead, G. S. (2017). Successes and Continued Challenges of Electronic Health Records for Chronic Disease Surveillance.
Blumenthal, S. R., Castro, V. M., Clements, C. C., Rosenfield, H. R., Murphy, S. N., Fava, M., … & Smoller, J. W. (2014). An electronic health records study of long-term weight gain following antidepressant use. JAMA psychiatry, 71(8), 889-896.
Boyle, R., Solberg, L., & Fiore, M. (2014). Use of electronic health records to support smoking cessation. The Cochrane Library.
de Lusignan, S., Mold, F., Sheikh, A., Majeed, A., Wyatt, J. C., Quinn, T., … & Blakey, H. (2014). Patients’ online access to their electronic health records and linked online services: a systematic interpretative review. BMJ open, 4(9), e006021.
Fildes, A., Charlton, J., Rudisill, C., Littlejohns, P., Prevost, A. T., & Gulliford, M. C. (2015). Probability of an obese person attaining normal body weight: cohort study using electronic health records. American Journal of Public Health, 105(9), e54-e59.
Gkoulalas-Divanis, A., Loukides, G., & Sun, J. (2014). Publishing data from electronic health records while preserving privacy: A survey of algorithms. Journal of biomedical informatics, 50, 4-19.
Ho, J. C., Ghosh, J., & Sun, J. (2014, August). Marble: high-throughput phenotyping from electronic health records via sparse nonnegative tensor factorization. In Proceedings of the 20th ACM SIGKDD international conference on Knowledge discovery and data mining (pp. 115-124). ACM.
Mandel, J. C., Kreda, D. A., Mandl, K. D., Kohane, I. S., & Ramoni, R. B. (2016). SMART on FHIR: a standards-based, interoperable apps platform for electronic health records. Journal of the American Medical Informatics Association, 23(5), 899-908.
Miotto, R., Li, L., Kidd, B. A., & Dudley, J. T. (2016). Deep patient: an unsupervised representation to predict the future of patients from the electronic health records. Scientific reports, 6, 26094.
Nguyen, L., Bellucci, E., & Nguyen, L. T. (2014). Electronic health records implementation: an evaluation of information system impact and contingency factors. International journal of medical informatics, 83(11), 779-796.
Olier, I., Springate, D. A., Ashcroft, D. M., Doran, T., Reeves, D., Planner, C., … & Kontopantelis, E. (2016). Modelling conditions and health care processes in electronic health records: an application to severe mental illness with the Clinical Practice Research Datalink. PLoS One, 11(2), e0146715.
Payne, R. A., Abel, G. A., Avery, A. J., Mercer, S. W., & Roland, M. O. (2014). Is polypharmacy always hazardous? A retrospective cohort analysis using linked electronic health records from primary and secondary care. British journal of clinical pharmacology, 77(6), 1073-1082.
Stevenson, J. E., Israelsson, J., Nilsson, G. C., Petersson, G. I., & Bath, P. A. (2016). Recording signs of deterioration in acute patients: the documentation of vital signs within electronic health records in patients who suffered in-hospital cardiac arrest. Health informatics journal, 22(1), 21-33.
van Jaarsveld, C. H., & Gulliford, M. C. (2015). Childhood obesity trends from primary care electronic health records in England between 1994 and 2013: population-based cohort study. Archives of disease in childhood, archdischild-2014.
Weber, G. M., Adams, W. G., Bernstam, E. V., Bickel, J. P., Fox, K. P., Marsolo, K., … & Mandl, K. D. (2017). Biases introduced by filtering electronic health records for patients with “complete data”. Journal of the American Medical Informatics Association, 24(6), 1134-1141.
Xu, H., Aldrich, M. C., Chen, Q., Liu, H., Peterson, N. B., Dai, Q., … & Jiang, M. (2014). Validating drug repurposing signals using electronic health records: a case study of metformin associated with reduced cancer mortality. Journal of the American Medical Informatics Association, 22(1), 179-191.
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