IHP 640 is SNHU’s Measurement, Analysis, & Models for Performance Improvement course. It centers on measurement, analysis and modeling for performance improvement: operational definitions, operating room efficiency metrics, balanced scorecards, Pareto and regression analysis, DMAIC and Lean methods, discrete event simulation and queueing for capacity questions and control plans that hold gains. Every module below opens a full sample paper or takes a free request for one; searches like "ihp 640 module 3", "IHP640 sample paper" and "IHP 640 milestone example" land on this page.
What IHP 640 is really about
IHP 640 is an analytics course in the SNHU MS Healthcare Administration program, and its rubrics reward precision. Graders look for metrics defined so two analysts would calculate the same number, analyses matched to the question and the data, models chosen for a stated reason, results interpreted in operational terms and plans that include how improvements will be sustained and monitored.
Samples on this shelf follow a composite performance improvement analyst at Highland Valley Medical Center, whose 14 operating rooms handle about 11,200 cases a year with only 54% of first cases starting on time, turnovers averaging 44 minutes and prime-time utilization near 68%. Across the term, the analyst prices operating room time, defines metrics, frames the problem, compares models, builds a scorecard, analyzes delays, simulates recovery room capacity, plans improvements and writes a final report. The analyst and hospital are illustrative.
What IHP 640’s modules ask for
Across ten modules, IHP 640 typically asks for discussions of performance measurement and scorecards, papers on metric definition, improvement models and capacity modeling, three milestones that frame a performance problem, analyze its data and plan improvement and control, a final performance report and a reflection.
Where students lose points in IHP 640
The most common IHP 640 deduction is a metric that sounds precise but is not: on-time start without saying on time to what, or utilization without saying which hours count. The second is an analysis tool chosen because it is familiar rather than because it fits. Graders also mark down models described without being applied, results left in statistical terms and plans with no control phase. The fix is to define every metric, match methods to questions, translate findings into operations and plan how gains will hold.
The IHP 640 drawers
IHP 640 Module 1 Discussion example
An opening discussion post from a composite performance improvement analyst asked to put a price on late first cases in a 14-room surgical suite. It uses Childers and Maggard-Gibbons's estimate of operating room costs per minute, Macario's point that the answer depends on which costs are fixed and Dexter and colleagues' priorities for day-of-surgery decisions to argue that delays cost more in overtime and lost capacity than in average cost. Full sample paper, read it free.
IHP 640 Module 2 Metrics Definition Paper example
A metrics definition paper that rewrites a composite hospital's operating room measures so that any analyst would get the same number. It defines first-case tardiness, turnover and prolonged turnover and replaces raw utilization with under- and over-used time, drawing on Macario's eight-indicator scoring system, Wachtel and Dexter's work on tardiness and the schedule and Dexter and colleagues' efficiency framework, and checks the data against direct observation. Full sample paper, read it free.
IHP 640 Module 3 Milestone One example
A first milestone that frames late first cases, slow turnovers and overtime in a composite hospital's surgical suite as a measurable performance problem. It uses a year of baseline data under the new definitions, Dexter and Epstein's analysis of what reducing first-case tardiness actually saves, Dexter's commentary on turnover time and Childers and Maggard-Gibbons's operating room cost estimates to focus the problem on overtime and prolonged delays. Full sample paper, read it free.
IHP 640 Module 4 Improvement Models Paper example
An improvement models paper comparing DMAIC, value stream mapping and discrete event simulation for a composite hospital's first-case delays and prolonged turnovers. It uses Cima and colleagues' account of a Lean and Six Sigma program in a large academic surgical practice, Mazzocato and colleagues' review of how Lean works in health care and Günal and Pidd's review of simulation to match each model to part of the problem. Full sample paper, read it free.
IHP 640 Module 5 Discussion example
A discussion post in which a composite performance analyst weighs replacing a forty-metric surgical dashboard with a balanced scorecard. It uses Inamdar, Kaplan and Bower's study of provider organizations that adopted scorecards, Gurd and Gao's analysis of how health care scorecards were adapted and where they fell short and Naranjo-Gil's findings on nurse managers' use of scorecards. Full sample paper, read it free.
IHP 640 Module 6 Milestone Two example
A Milestone Two analysis of a year of composite operating room data. It confirms a stable baseline with control chart rules from Mohammed, Worthington and Woodall, ranks first-case delay reasons in a Pareto table, models prolonged turnovers with logistic regression checked against Peduzzi and colleagues' events-per-variable guidance and uses Wachtel and Dexter's work on schedule-driven tardiness to interpret the results. Full sample paper, read it free.
IHP 640 Module 7 Capacity Modeling Paper example
A capacity modeling paper asking whether recovery room congestion delays a composite hospital's operating rooms. It builds a queueing estimate of midday congestion using Green's overview of queueing in health care, then a discrete event simulation informed by Günal and Pidd's review, testing extra nurses, shorter stays and case sequencing drawn from Marcon and Dexter and Dexter and Tinker. Full sample paper, read it free.
IHP 640 Module 8 Milestone Three example
A Milestone Three plan that turns a composite surgical suite's delay analysis into tested changes and a control phase. It targets preoperative readiness, surgeon arrival, anesthesia evaluations, turnover drivers and recovery room holds, draws on Cima and colleagues' Lean and Six Sigma program, Wachtel and Dexter's evidence that schedule adjustments reduce tardiness and Mohammed, Worthington and Woodall's control chart guidance for monitoring. Full sample paper, read it free.
IHP 640 Module 9 Final Project example
A final performance improvement report on a composite hospital's operating room efficiency, from metric definitions through a control plan. It uses Macario's efficiency indicators to frame measurement, Cima and colleagues' Lean and Six Sigma program as a model, Wachtel and Dexter on schedule adjustments and Marcon and Dexter on sequencing and recovery capacity, and reports six months of results against the aim. Full sample paper, read it free.
IHP 640 Module 10 Journal example
A closing journal in which a composite performance analyst reflects on discovering that three departments had been reporting three different on-time rates. It draws on Macario's case for a balanced set of indicators, Dexter and colleagues' warning against managing to raw utilization and Mohammed, Worthington and Woodall's guidance on reading variation, and names habits for future analytic work. Full sample paper, read it free.
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Using a IHP 640 sample the right way
Read an IHP 640 sample by checking whether each metric is defined exactly, whether the analysis fits the question and whether results are translated into operational decisions. For IHP 640, share the prompt, your performance data and the rubric, and the first custom sample comes back free in 24-48h.
IHP 640 questions, answered
What does IHP 640 cover?
Performance metrics and operational definitions, scorecards, statistical analysis, improvement models such as DMAIC and Lean and simulation and queueing for capacity.
What problem works for IHP 640?
A measurable operational issue such as surgical delays, clinic wait times or bed turnaround, with data you can analyze.
What makes a strong IHP 640 paper?
Exact metric definitions, methods matched to the question, results translated into operations and a plan that sustains gains.