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You will submit yoursystem requirements. The system requirements model is to be submitted
as a Word document that is a combination of sections: arequirements model, a business process
model, a data flow diagram, a data dictionary, an object model, and a use case diagram. Copy the
image of your diagram into your Word document and include text to ensure that the diagram has
proper context within the overall system requirements model through written explanations. Your
audience is IT management and the IT project team.
Specifically the following critical elements must be addressed:
II. System Requirements:Detail the specific requirements of your case. Be sure to include
screenshots of all relevant diagrams, charts, and tables.
a. Requirements Modeling:Assess the current system to identify the requirements
for the new system. Be sure to address each of the following aspects: outputs,
inputs, processes, performance, and controls (i.e., security).
b. Business Process Model:Create a visual representation of all relevant data
processes that represents a logical model of the requirements of the system based
on the systems development life cycle.
c. Data Flow Diagram:Create a visual representation of the data flow based on the
systems development life cycle.
d. Data Dictionary:Create a data dictionary that annotates your system
requirements to build clarity in communicating with the relevant audiences.
e. Object Modeling:Use appropriate object modeling techniques and tools to
describe the system requirements.
f. Use Case Diagrams:Create (a) use case diagram(s) that outline the system
requirements based on the systems development life cycle.
Based on the information provided, the business process model for this scenario can be
summarized as follows:
1. Patient Registration Process:
Input: Patient demographic information, insurance details, and medical history.
Process: Efficient and accurate entry of patient information into the system.
Output: Registered patient record in the system.
2. Diagnostic Order Process:
Input: Diagnostic orders for laboratory tests, radiology exams, and specialist
referrals.
Process: Entry and tracking of diagnostic orders, ensuring seamless
communication between healthcare providers.
Output: Recorded diagnostic orders in the system for further processing.
3. Treatment Plan and Order Process:
Input: Treatment plans and orders, including medication prescriptions, therapy
plans, and surgical procedures.
Process: Creation and management of treatment plans and orders.
Output: Updated treatment plans and orders in the system.
4. Appointment Scheduling Process:
Input: Patient preferences, healthcare provider availability.
Process: Efficient scheduling of patient appointments, including availability
checking and automatic reminders.
Output: Scheduled appointment information in the system.
5. Clinical Documentation Process:
Input: Patient information, assessments, and interventions.
Process: Electronic documentation of clinical encounters, ensuring accuracy and
timeliness.
Output: Complete and accurate clinical documentation in the system.
6. Medication Management Process:
Input: Medication information, patient allergies, prescribing details.
Process: Safe and effective medication management, including reconciliation,
allergy checking, and electronic prescribing.
Output: Updated medication records and prescriptions in the system.
7. Generate Patient Health Records Process:
Input: Patient demographics, medical history, diagnoses, treatments, and
medications.
Process: Compilation of comprehensive electronic health records (EHRs).
Output: Generated patient health records in the system.
8. Generate Clinical Reports Process:
Input: Laboratory results, radiology reports, pathology reports, progress notes.
Process: Generation of accurate and timely clinical reports.
Output: Generated clinical reports in the system.
9. Generate Billing and Financial Reports Process:
Input: Invoices, billing statements, reimbursement claims.
Process: Production of financial reports to facilitate billing and revenue
management processes.
Output: Generated billing and financial reports in the system.
10. Generate Statistical Analysis and Reports Process:
Input: Patient demographics, disease prevalence, treatment outcomes, research
data.
Process: Provide statistical reports for research, quality improvement, and
decision-making.
Output: Generated statistical analysis and reports in the system.
These processes represent the key activities involved in the system, transforming inputs into
desired outputs to fulfill the requirements identified in the requirement model.
The business process model for EMR implementation involves several interconnected processes
that collectively facilitate the system’s effective functioning. The processes include patient
registration, diagnostic orders, treatment plan and order management, appointment scheduling,
clinical documentation, medication management, generation of patient health records, clinical
reports, billing and financial reports, as well as statistical analysis and reports.
The patient registration process ensures the accurate entry of patient demographic information,
insurance details, and medical history into the system. This information serves as the foundation
for all subsequent interactions and healthcare activities. The diagnostic order process enables the
seamless entry and tracking of various diagnostic orders, such as laboratory tests, radiology
exams, and specialist referrals, promoting efficient communication between healthcare providers.
The treatment plan and order process supports creating and managing treatment plans and orders,
including medication prescriptions, therapy plans, and surgical procedures. This process ensures
that healthcare professionals can easily access and update patient treatment information as
necessary. The appointment scheduling process enables the efficient scheduling of patient
appointments, considering patient preferences and healthcare provider availability. It also
provides automatic reminders to patients to enhance appointment adherence.
The clinical documentation process involves the electronic documentation of clinical encounters,
capturing accurate and timely patient information, assessments, and interventions. This process
ensures that comprehensive and up-to-date records are maintained, facilitating continuity of care
and supporting informed decision-making. The medication management process focuses on safe
and effective medication practices, incorporating functionalities such as medication
reconciliation, allergy checking, and electronic prescribing.
The system generates various outputs, including comprehensive electronic health records (EHRs)
capturing patient demographics, medical history, diagnoses, treatments, and medications. It also
generates accurate and timely clinical reports, such as laboratory results, radiology reports,
pathology reports, and progress notes. Furthermore, the system produces financial reports,
including invoices, billing statements, and reimbursement claims, to facilitate efficient billing
and revenue management processes. Additionally, statistical analysis and reports are generated,
providing valuable insights into patient demographics, disease prevalence, treatment outcomes,
and other relevant data for research, quality improvement, and decision-making purposes.
Controls are implemented to ensure the system's security, including user authentication and
access control mechanisms to restrict access to authorized individuals. Data encryption protocols
are utilized to protect sensitive information during transmission and storage. An audit trail is
maintained, capturing details of user activities, system changes, and data access, ensuring
accountability and aiding in forensic analysis.
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