Course list

Processes are the building blocks that define everyday operations in all organizations, including healthcare organizations. All organizations run on processes, so the work of analyzing a department, a team, or even the entire organization starts with an analysis of the underlying processes.

In this course, you will analyze processes where the input and processing rates are fixed and have no variability. You will investigate the basic tools of process analysis, starting with the process flow diagram and ending with the performance measures of the process. You will create a flow diagram of a system or process in your own organization, and finally, you will identify and quantify the effects of the bottlenecks in that system or process and propose strategies to manage them.

This course requires the use of Microsoft Excel (desktop or online). While advanced skills aren't necessary, students should be familiar with formatting cells, using simple functions and formulas, and creating basic charts.

  • Jun 3, 2026
  • Aug 26, 2026
  • Nov 18, 2026
  • Feb 10, 2027
  • May 5, 2027

A healthcare organization's service operations encompass all of the processes and systems through which the organization provides care and service to its customers, whether through human contact, automated systems, or virtually. Ensuring that service operations are optimized for effectiveness and efficiency as well as positive customer experiences is the goal of service operations management. Since the level of demand in these systems is often variable, analysis and improvement can be challenging. 

In this course, you will review the probability and statistics concepts necessary to analyze a service process where the level of demand is variable and explore how that variability affects the efficiency of systems. You will practice using tools of queue analysis, including the Lq approximation and Little's Law, to analyze service operations, and you will investigate ways to reduce variability in service processes. Finally, you will analyze a specific service process and recommend improvements to reduce processing and wait times.

This course requires the use of Microsoft Excel (desktop or online). While advanced skills aren't necessary, students should be familiar with formatting cells, using simple functions and formulas, and creating basic charts.

The following course is required to be completed before taking this course:

  • Analyzing Operations Processes
  • Jun 17, 2026
  • Sep 9, 2026
  • Dec 2, 2026
  • Feb 24, 2027
  • May 19, 2027

Every process needs a quality control method in place to ensure products and services are delivered consistently according to the quality standards set by the organization. To manage the quality of a process or service operation, you need the metrics required to analyze the process and you need a control system in place to monitor the quality of the product or service it produces. The set of activities and methods that ensure the quality of the products or services are what's known as the quality control system.

In this course, you will use statistical process control tools and procedures to evaluate whether a system or process is in control (consistent) and capable (delivering according to needed specifications.) You will use tools for finding the root cause of a quality problem. Finally, you will propose a method to measure the quality of a process or system in your own organization and propose strategies to decrease variability within the process.

This course requires the use of Microsoft Excel (desktop or online). While advanced skills aren't necessary, students should be familiar with formatting cells, using simple functions and formulas, and creating basic charts.

The following courses are required to be completed before taking this course:

  • Analyzing Operations Processes
  • Improving Service Operations
  • Jul 1, 2026
  • Sep 23, 2026
  • Dec 16, 2026
  • Mar 10, 2027
  • Jun 2, 2027

Inventory levels impact operational performance, customer service, and the cost structure that delivers a product or service. Carrying inventory is costly because it ties up cash and creates risk of obsolescence. Therefore, an inventory management policy aligned to deliver the organization's objectives needs to be in place. In this course, you will explore the drivers of inventory strategy and compare product life cycles. You will practice using the appropriate models and approaches to match levels of inventory with demand in a way that maximizes profit, and you will determine the optimal policies to manage two types of inventory in a given scenario. Finally, you will recommend strategies to improve operations management in your organization based on the principles of the Toyota Production System. This course requires the use of Microsoft Excel (desktop or online). While advanced skills aren't necessary, students should be familiar with formatting cells, using simple functions and formulas, and creating basic charts.

The following courses are required to be completed before taking this course:

  • Analyzing Operations Processes
  • Improving Service Operations
  • Designing a Quality Control System
  • Apr 22, 2026
  • Jul 15, 2026
  • Oct 7, 2026
  • Dec 30, 2026
  • Mar 24, 2027
  • Jun 16, 2027

eCornell Online Workshops are live, interactive 3-hour learning experiences led by Cornell faculty experts. These premium short-format sessions focus on AI topics and are designed for busy professionals who want to gain immediately applicable skills and strategic perspectives. Workshops include faculty presentations, breakout discussions, and guided hands-on practice.

The AI Workshops All-Access Pass provides you with unlimited participation for 6 months from your date of purchase. Whether you choose to attend one workshop per month, or several per week, the All-Access Pass will allow you to customize your AI journey and stay on top of the latest AI trends.

Workshops cover a range of cutting-edge AI topics applicable across industries, hosted by Cornell faculty at the forefront of their fields. Whether you are just getting started with AI, seeking to build your AI skillset, or exploring advanced applications of AI, Workshops will provide you with an action-oriented learning experience for immediate application in your career. Sample Workshops include:

  • Work Smarter with AI Agents: Individual and Team Effectiveness
  • Leading AI Transformation: Bigger Than You Imagine, Harder Than You Expect
  • Using AI at Work: Practical Choices and Better Results
  • Search & Discoverability in the Era of AI
  • Don't Just Prompt AI - Govern it
  • AI-Powered Product Manager
  • Leverage AI and Human Connection to Lead through Uncertainty

Request
more Info
by completing the form below.

Act today—courses are filling fast.

How It Works

Frequently Asked Questions

Healthcare leaders are being asked to improve access, patient experience, and cost performance at the same time. That work often comes down to operations: how patients, information, and materials actually flow through real systems that include variability, constraints, and quality risk.

Cornell’s Healthcare Operations Management Certificate, from the Cornell Brooks School of Public Policy, equips you with a practical, structured toolkit for diagnosing operational problems and designing improvements you can defend with data. You will learn how to map a process clearly, quantify bottlenecks and utilization, analyze waiting and queue dynamics, monitor quality using statistical process control, and make smarter inventory decisions using widely used operations models.

You will practice these skills through applied, workplace-relevant projects and facilitated discussion, so you can translate concepts into decisions about staffing, scheduling, service design, quality measurement, and inventory policy in your own context. The program is designed for busy professionals and uses Excel-based tools so you can build analyses you can reuse at work.

If you want practical methods to reduce delays and improve flow, credible tools to strengthen quality and inventory decisions, and the confidence to lead data-informed operational improvements in healthcare, you should choose Cornell’s Healthcare Operations Management Certificate.

Many online programs emphasize passive content and generic quizzes. Cornell’s Healthcare Operations Management Certificate is built around applied operations work, where you use real metrics and models to make decisions the way operational leaders do.

You learn in an intentionally small, facilitated cohort where discussion is guided and your project work receives feedback, so you are not left to interpret tools like utilization, queue performance, or control charts on your own. The learning experience blends short faculty-designed lessons with hands-on analysis activities, graded, multi-part projects, and live interaction opportunities led by expert facilitators.

Just as important, Cornell’s Healthcare Operations Management Certificate is healthcare relevant without being limited to one setting. You practice process mapping and bottleneck management, then move into variability and waiting-time analysis for service operations, then quality measurement through statistical process control and root-cause tools, and, finally, inventory decision making with models used across healthcare supply and service contexts.

Throughout the Healthcare Operations Management Certificate program, Excel-based calculators and templates make it easier to transfer your work into a reusable approach for your unit or organization.

Enrolling in this certificate also provides you with a 6-month All-Access Pass to eCornell's live online AI Workshops, interactive sessions led by world-class Cornell faculty that combine Ivy League insight with practical applications for busy professionals. Each 3-hour Workshop features structured instruction, guided practice, and real tools to build competitive AI capabilities, plus the opportunity to connect with a global cohort of growth-oriented peers. While AI Workshops are not required, they enhance certificate programs through:

  • Integrating AI perspectives across most curricula
  • Responding to emerging AI developments and trends
  • Offering direct engagement with Cornell faculty at the forefront of AI research

Cornell’s Healthcare Operations Management Certificate is designed for professionals who need to improve healthcare operations, service performance, and reliability, and want tools they can apply immediately.

The Healthcare Operations Management Certificate is a strong fit if you are:

  • A mid-career healthcare professional responsible for day-to-day operational performance
  • A physician transitioning into a managerial role and looking for a structured way to analyze flow, capacity, and quality
  • A nurse or nurse practitioner taking on management responsibilities in a unit, clinic, or service line
  • A healthcare policy professional moving toward operations, performance improvement, or service delivery roles
  • A business or management professional (including MBA students) seeking a healthcare operations specialization
  • A customer-facing manager in a government agency or service organization who wants to reduce delays and improve consistency

Comfort with basic Excel is helpful because you will work with tables, charts, and provided formulas as part of your analyses.

Project work in Cornell’s Healthcare Operations Management Certificate is designed to help you apply operations tools to a real process, service line, or system you care about. You will build practical deliverables such as process maps, queue analyses, quality monitoring approaches, and inventory policies that you can adapt for your organization.

Examples of the types of projects learners have completed include:

  • Mapping an end-to-end blood collection and component-preparation workflow and setting measurable specification limits for critical quality variables like collection weight, leukoreduction recovery, and residual white blood cell counts
  • Defining a hospital discharge process dashboard by setting targets and specification limits for discharge-to-departure time, medication discrepancies, readmission risk, and patient understanding
  • Evaluating a clinic front-desk check-in process and quantifying how adding bilingual administrative coverage reduces translation delays and stabilizes check-in time variation
  • Analyzing peak-hour vaccination-clinic flow using arrival and service-time data to calculate utilization, queue time, and total time in system, then recommending pooling and appointment-based smoothing strategies
  • Applying Toyota Production System safety principles to bedside chemotherapy administration by designing a Jidoka-style hard-stop barcode workflow that prevents infusion unless patient, medication, and nurse credentials match

Across Cornell’s Healthcare Operations Management Certificate, projects are intentionally cumulative and data-informed, helping you practice turning operational observations into clear metrics, improvement options, and implementation plans.

Cornell’s Healthcare Operations Management Certificate helps you build a credible, data-driven approach to improving patient flow, service performance, quality, and operational efficiency, so you can contribute more confidently to operational decision making and improvement work.

After completing the Healthcare Operations Management Certificate, you will be prepared to:

  • Identify and quantify the effects of a bottleneck in a fixed process or system and propose strategies to manage bottlenecks
  • Analyze a service process with variable levels of demand and recommend improvements to reduce processing and wait times
  • Use statistical process control methods to measure the quality of a process and recommend strategies for improvement
  • Use the appropriate models and approaches to match levels of inventory with demand

In student feedback, learners commonly emphasize that the program helps them see workflows more clearly and apply practical methods quickly to real operational challenges, including identifying bottlenecks, improving flow, and strengthening quality and efficiency. They also highlight that the format fits demanding schedules and that facilitator feedback and peer discussion support real-world problem solving across different healthcare roles and settings.

In addition, because eCornell represents the pinnacle of premium online professional education, participants in eCornell's programs often experience long-term career transformation such as promotions to more senior roles, salary increases, improved networking opportunities, and successful career transitions.

Cornell’s Healthcare Operations Management Certificate, which consists of 4 short courses, is designed to be completed in 2 months. Each course runs for 2 weeks, with a typical weekly time commitment of 5 to 7 hours.

Most learning activities are asynchronous, so you can watch short lectures, work in Excel, and complete assignments on your own schedule within each course’s deadlines. Facilitated discussions and opportunities for live sessions add structure and peer learning without turning the experience into a rigid, day-and-time commitment. You stay flexible, but you are not learning alone.

Students in Cornell’s Healthcare Operations Management Certificate often say the program helps them see healthcare workflows more clearly and equips them with practical methods to improve day-to-day operations while balancing demanding schedules. They frequently highlight how quickly they can apply what they learn to real workplace challenges, from identifying bottlenecks to improving flow, efficiency, and quality.

Common themes students emphasize include:

  • Practical tools for mapping processes, spotting bottlenecks, and improving flow in clinical and operational settings
  • Useful frameworks for analyzing service times, capacity, and operational performance to support better patient outcomes
  • New operations terminology and ways of thinking that translate directly to healthcare leadership and nursing operations
  • Assignments and projects that reinforce real-world improvement work and strategy development
  • A flexible, self-paced online format that fits around full-time work, shift schedules, and family responsibilities
  • Clear, well-structured modules with concise videos and accessible resources that make learning manageable
  • Engaged facilitators who are responsive, provide actionable feedback, and foster a supportive learning environment
  • Peer discussion that adds perspective from other healthcare roles and organizations, sparking ideas students can bring back to their teams

Expect a practical, applied level of quantitative work focused on operational decision making rather than advanced mathematics. In Cornell’s Healthcare Operations Management Certificate, you will use basic algebra and statistics concepts to interpret variability, estimate waiting and queue performance, and evaluate process stability and capability.

You will work with ideas such as averages and variation, steady state, utilization, queue performance metrics (including Little’s Law and an Lq approximation), and statistical process control charts. Excel-based tools and provided formulas support the calculations so you can focus on interpreting results and recommending operational changes. Basic comfort with spreadsheets is helpful, but the program is designed to teach you the concepts you need as you go.

You will leave Cornell’s Healthcare Operations Management Certificate program with a set of operational analysis tools you can reuse to evaluate performance, communicate problems clearly, and justify improvement decisions. The Healthcare Operations Management Certificate emphasizes tools that translate directly into day-to-day operational leadership.

Key tools and frameworks include:

  • Process flow diagramming and boundary setting to map how work actually gets done
  • Capacity, utilization, and bottleneck analysis to identify the constraint that limits throughput
  • Queueing analysis using steady-state thinking, Little’s Law, and an Lq approximation to estimate waiting and work-in-process
  • Service-design insights such as pooling and variability reduction, plus the psychology of waiting
  • Statistical process control using mean (X-bar) and range charts to assess whether a process is in control
  • Capability thinking using Cp and sigma-level concepts to evaluate whether a stable process can meet specification limits
  • Root-cause tools such as the Five Whys, Pareto charts, and fishbone diagrams
  • Inventory decision models including service-level metrics, the Newsvendor model, and EOQ
  • Toyota Production System concepts, including Just-in-Time and pull systems like Kanban, to reduce waste and expose problems

Cornell’s Healthcare Operations Management Certificate is built to help you apply what you learn to a process you know, whether that is a clinic intake workflow, a discharge pathway, a call center, a vaccination site, a lab process, or a supply replenishment routine. The projects ask you to define a clear objective, gather practical data, and turn that information into operational recommendations.

Data needs vary by topic, but commonly include:

  • Basic process details for mapping steps, decision points, buffers, and handoffs
  • Timing or volume information to estimate flow rates, service rates, utilization, and bottlenecks
  • A small set of repeated observations over time for quality monitoring and control charts
  • Demand and cost inputs for inventory decisions (for example, average demand, demand variability, and ordering or holding costs)

If you work with sensitive information, you can anonymize or obscure organizational details in submissions. When real data is hard to obtain, the program’s examples and Excel-based tools still let you practice the analysis and build a plan for what you would measure on the job.