Creating two repositories for medical information will only create more work. It will also lead to confusion because of the lack of version control, as some information may be available on paper that may not be available in the EHR or vice versa.
The goal of the implementation phase is to implement a system correctly, efficiently, and quickly on a particular set or range of computers, using particular tools and programming languages. This phase is a set of activities with: Design, environmental, and performance requirements.
Reconciliation, transformation, conversion, monitoring, testing. Designers see objects as software abstractions. Implementors see them as software realities. However, as with the transition from analysis to design, structural continuity of concepts and constructs means that design and even analysis notions should flow smoothly and traceably.
The chief inputs from design to implementation may be categorized in a manner similar to those of previous phases. Again, while the headings are the same, the details differ. A computational design of the system. The machines, languages, tools, services, and systems available to build the system.
The expected response times of the system. Quality, scheduling, compatibility with other systems, etc. Implementation activities are primarily environmental.
They deal with the realities of particular machines, systems, languages compilers, tools, developers, and clients necessary to translate a design into working code. Implementation-level design is a reconciliation activity, where in-principle executable models, implementation languages and tools, performance requirements, and delivery schedules must finally be combined, while maintaining correctness, reliability, extensibility, maintainability and related criteria.
While OO methods allow and even encourage design iteration, such activities must be tempered during the implementation phase. In analogy with our remarks in Chapter 25if everything can change, then nothing can be implemented reliably.
Implementation phase changes should ideally be restricted to occasional additions rather than destructive modifications. Implementation activities may be broken across several dimensions, including the construction of intracluster software, intercluster software, infrastructure, tools, and documentation, as well as testing, performance monitoring, configuration management and release management.
Most of these were touched on briefly in Chapter Many excellent texts, articles, manuals, etc. In keeping with the goals and limitations of this book, we restrict further discussion of the implementation phase to a few comments about testing and assessment that follow from considerations raised in Parts I and II.
A design must be testable.
An implementation must be tested. Tests include the following: Tests that force most or all computation paths to be visited, and especially those that place components near the edges of their operating conditions form classic test strategies.
Tests should be applied across the range of systems on which the software may execute. Tests may employ suspected nonportable constructions at the compiler, language, tool, operating system, or machine level. Tests of interobject and interprocess coordination should be built at several granularity levels.
For example, tests of two or three interacting objects, dozens of objects, and thousands of them are all needed. Use cases laid out in the analysis phase should actually be run as tests.
Tests may be designed to operate for hours, days, or months to determine the presence of deadlock, lockup, or nontermination. Hardware and software errors may be infused into systems before or during testing in order to test response to faults. While we do not concentrate much in this book on user interface design, any system, even one without an interactive interface, must meet basic human factors requirements.
Tests and observations with potential users form parts of any test strategy. Use by outsiders rather than developers often makes up for lack of imagination about possible error paths by testers. Tests should never be thrown out unless the tests are wrong. Any changes in classes, etc.The implementation stage is defined as "the system or system modifications being installed and made operational in a production environment.
The phase is initiated after the system has been tested and accepted by the user. During the implementation period of the project, the system of indicators described above could be utilized in the following manner: the first sub-system of indicators would be measured once a year.
The implementation committee plays an important role in ensuring that implementation moves forward. The committee should have regular contact with the organizations or individuals leading each strategy to make sure activities are staying on track and any barriers are being addressed. Question 1. Strategic implementation is a process where plans and strategies are put into actions in order to reach goals. A strategic plan is a written document that contains business’ laid out plans meant to reach the company’s goals. Jan 04, · Identify two stakeholder barriers you might experience during the implementation phase of your evidence-based practice project. This could range from support of the evidence-based project proposal to communication gaps.
Sep 21, · This free Project management essay on Essay: Project management is perfect for Project management students to use as an example. In this phase a challenge or an opportunity is identified and solution options are presented. Following closure a Post Implementation Review will help to determine if the requirements was met within.
The implementation phase involves assignments addressing the who, where, when and how of reaching the goals and objectives of a business. It is the second step in the marketing process and. Common topics in this essay: Data Base Mangement System Implementation stage implementation stage functions of an Enterprise Data Management (EDM) system Putting Data To Work: Intelligently Using Data Mining, Data Warehousing And Databases.
that it is not limited to the post-implementation phase of a project. In fact, retrospectives conducted following critical milestones in a project’s life cycle can either confirm that the project is on track or suggest mid-course adjustments before it’s too late.