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The Systems development life cycle (SDLC), or Software development process in systems engineering, information systems and software engineering, is a process of creating or altering information systems, and the models and methodologies that people use to develop these systems. In software engineering, the SDLC concept underpins many kinds of software development methodologies.

With that said application systems could be acquired or developed through various modes, which include: custom development using internal resources and or custom development using fully or partly outsourced resources located onsite or offsite locally or in an offshore location. There are many issues to consider when deciding whether to purchase a product or develop a custom system. At the outset of any software development initiative it is important to define how the project will be managed. Planning is the key to a software development process that is reliable and repeatable.

As various industry standards indicate, it is the execution of a formal requirements process within the context of a lifecycle methodology that separates successful software development initiatives from unreliable seat-of-the-pants efforts. Proprietary software or closed source software in terms of Systems development life cycle is computer software licensed under exclusive legal right of the copyright holder. The licensee is given the right to use the software under certain conditions, while restricted from other uses, such as modification, further distribution, or reverse engineering.

While the Systems development life cycle for custom applications are broken down into phases. Such as: * Planning. It is the process of understanding why the system should be built and defining its requirements. It also includes feasibility study from several different perspectives, technical, economic, and organization feasibility aspects. * Analysis. This phase includes activities such as problems identifying and analysis, and even predicting potential problems that may arise in the future regarding the system.

The deliverables / products of this phase will drive how the system will be built and guide the developers’ works. * Design. System analysis leads to design decision, which exactly determines how the system operates in terms of process, data, hardware, network infrastructures, user interface, and other important factors in the system environment. * Implementation. This is probably the most resource-, cost-, and time-consuming phase of all. This is when the system is actually built, tested, and finally installed. It also includes activities such as user training and system maintenance.

Health information technology (HIT) is “the application of information processing involving both computer hardware and software that deals with the storage, retrieval, sharing, and use of health care information, data, and knowledge for communication and decision making”. (Brailer, & Thompson, 2004) Internation Ornaization for standardization (ISO) American National Standards Institure 2. Describe the major types and classifications of health care information standards and the specific organizations that develop and regulate these standards.

3. Discuss the need for, and identify methods of, accomplishing the security of information systems. . Create at least three (3) best practices for effective IT alignment and strategic planning. 5. Include three (3) external sources to support your position.

References

Thompson, T. , & Brailer, D. (2004) IT strategic framework. DHHS, Washington DC. U. S. Department of Health and Human Services. Health Information Technology Initiative. Wager, K. A. , Lee, F. W. , & Glaser, J. P. (2009). Healthcare information systems: A practical approach for health care management (2nd ed. ). San Francisco: Jossey-Bass. Supplemental Resources Brooks, R. , & Grotz, C. (2010).

Implementation of electronic medical records: How healthcare providers are managing the challenges of going digital. Journal of Business & Economics Research, 8(6), 73- 84. Healthcare Information and Management Systems Society. (2009). Management engineering-process improvement. Retrieved from http://www. himss. org/asp/topics_managementProcess. asp Hoffmann, Leah. (2009). Implementing electronic medical records. Communications of the ACM, 52(11), 18-20. Venkatraman, S. , Bala, H. , Venkatesh, V. , & Bates, J. (2008). Six Strategies for Electronic Medical Records Systems. Communications of the ACM, 51(11), 140-144.

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