This paper examines the relationship between project management and the systems development life cycle (SDLC) within the context of healthcare information technology (HCIT). It outlines the five phases of project management — initiation, planning, execution, monitoring and control, and closure — before explaining how the SDLC guides software development in healthcare settings. The paper then explores the role of healthcare IT project managers, particularly in light of federal mandates requiring electronic health record adoption. Finally, it compares the project management life cycle with the SDLC, highlighting how constraints, quality, and product continuity differ between the two frameworks.
Effective management of technology projects in healthcare requires an understanding of two interrelated frameworks: the project management life cycle and the systems development life cycle (SDLC). Both provide structured approaches for guiding a project from conception to completion, yet they differ in their orientation, scope, and relationship to the end product. In healthcare information technology (HCIT), understanding how these frameworks operate — independently and together — is essential for managers responsible for implementing and maintaining health information systems.
A project's management is based fundamentally on the idea that projects move through various phases, each characterized by different sets of tasks and activities that carry the project from conception to conclusion. A project may be large or small, subject to cost or time constraints, and may involve varying levels of complexity. It is therefore crucial that a sound approach is used to manage the entire life cycle. Project management comprises five phases (Pathak, 2014).
This is when a project is formally begun, given a name, and its scope defined. The stakeholders involved conduct their own analysis and decide whether the project is worth pursuing. Depending on the project's nature, subject-matter experts may perform a feasibility study. If it is an IT project, they may undertake requirements gathering and analysis (Pathak, 2014).
During this stage, a comprehensive project management plan is crafted. The plan encompasses unit plans covering scope, resources, risk, communication, quality, and cost. Key activities in this phase include developing a schedule, creating Gantt charts, estimating required resources, planning communication channels, assigning activities to dates, and establishing deadlines and timelines. Planning is essential because projects carry both identified and unidentified risks that may impede progress. Risk management planning involves identifying those risks and establishing mitigation strategies for each (Pathak, 2014).
The execution phase involves the development and full completion of the project's deliverables. The plan developed in the preceding stage is adhered to throughout. Project execution can run concurrently with project monitoring and control. Key tasks at this stage include establishing performance metrics, conducting status meetings, and producing human performance and development reports (Pathak, 2014).
This phase focuses primarily on measuring a project's performance and progress relative to the project management plan. Scope verification is conducted to check for scope creep and change control, ensuring that change requirements are well managed. Cost plans are closely monitored, and deviations from the plan are investigated to ensure they do not push the project off track (Pathak, 2014).
Project closure marks the official end of the project. A series of tasks are carried out at this stage: deliverables are formally handed over, resources are released, team members are recognized and rewarded, and the contract and project team are formally dissolved (Pathak, 2014).
The systems development life cycle (SDLC) is used in software development to define the various steps in the software development process. It covers the initial stages — including feasibility studies — through to the project's final stage. A team of developers tasked with building software follows the structure provided by the SDLC, which describes in detail how software will be developed, maintained, and eventually replaced. The methodology used for software improvement, quality assurance, and general development is clearly defined within the life cycle. Different organizations employ different development models, including Annual Change Traffic (ACT), Extreme Programming (XP), Agile Software Development, the Waterfall Model, and Application Programming Interface (API) approaches (Conrick, 2006).
Implementing health information technology (HIT) significantly changes the social, political, cultural, economic, organizational, and technical aspects of a work environment. In a setting as complex as healthcare, the SDLC is particularly valuable because it helps navigate the sector's inherent complexities. The SDLC is capable of capturing the requirements of a constantly changing system by gathering and analyzing user feedback and then integrating cognitive-social-technical aspects to ensure that the needs of both the user and the organization are met. Incorporating the various elements of the SDLC into HCIT can therefore prove highly effective (Conrick, 2006).
"Manager responsibilities and federal EHR mandates"
"Key differences in constraints, quality, and scope"
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