Analysis of Prolonged Waiting Times in the Urgent Care Center at Hong Kong Adventist Hospital –Tsuen Wan

Using appropriate operations management tools, analyse a specific operational process with which you are familiar in order to identify opportunities for improvement and make appropriate recommendations.

The process selected for analysis may relate to one of the following areas:

1. Design Process

Examples include:

• Changing technology
• Workplace or service layout
• Workflow
• Ergonomics

2. Planning and Control Process

Examples include:

• Capacity planning
• Allocating work to available resources
• Scheduling staff or equipment
• Managing queues
• Project planning
• Inventory management

3. Quality Control or Improvement Process

Examples include:

• Failure prevention
• Total Quality Management (TQM)
• Quality improvement

Important: The assignment must not discuss clinics, departments or healthcare services only in general terms. The analysis must focus on one specific operational setting, preferably an organisation or workplace with which you have personal familiarity.

The setting does not have to be named if confidentiality is required. However, sufficient specific information must be provided to enable the reader to understand the setting, its operations and the process being analysed.

Required Structure

1. Executive Summary

Maximum: one side of A4

The Executive Summary is not an introduction and should not provide a general background to the topic.

It should briefly state:

• The specific process that was analysed
• The main findings from the analysis
• The key problems or operational weaknesses identified
• The principal recommendations for improvement

The Executive Summary is not included in the word count.

2. Introduction

The Introduction should address two key areas:

2.1 Background to the Setting

Provide brief but specific information about the selected setting, including where relevant:

• The type of service provided
• Location of the setting
• The nature of the organisation
• The relevant department/unit
• Number and type of staff
• Approximate number of patients/clients served
• Relevant features of the operational process being analysed

2.2 Problem or Opportunity

Clearly identify the specific operational problem or opportunity that the analysis will address.

For this assignment, the focus is:

Prolonged waiting times in the Urgent Care Centre at Hong Kong Adventist Hospital – Tsuen Wan.

The introduction should establish why waiting times represent an important operational issue in this particular setting.

3. Strategic Context

Maximum: 300 words

Explain how analysing and improving the selected process aligns with the strategic objectives, operational priorities and relevant policies of the organisation.

The discussion should specifically connect the waiting-time problem with relevant organisational objectives, such as:

• Patient experience
• Quality of care
• Patient safety
• Operational efficiency
• Resource utilisation
• Timeliness of service delivery
• Organisational performance targets

The discussion should focus specifically on the selected hospital and Urgent Care Centre rather than healthcare organisations in general.

4. Analysis of the Chosen Process

Analyse the selected operational process using at least three appropriate operations management tools.

The analysis should:

• Map or describe the existing process clearly
• Identify where delays or inefficiencies occur
• Use relevant operational data where available
• Apply at least three appropriate operations management tools
• Interpret the findings produced by each tool
• Identify the underlying causes of prolonged waiting times
• Explain how the identified operational problems affect the service and patients

The tools selected should be appropriate to the waiting-time problem. Depending on the available data, suitable tools may include:

• Process mapping / flowchart
• Process analysis
• Capacity analysis
• Queueing analysis
• Bottleneck analysis
• Root-cause analysis
• Fishbone (Ishikawa) diagram
• Pareto analysis
• Failure Mode and Effects Analysis (FMEA)
• Value-stream mapping
• Demand and capacity analysis

The tools should not simply be presented or described. Each tool should be applied to the specific Urgent Care Centre process and its findings should be interpreted.

5. Recommendations for Improvement

Based on the findings from the operational analysis, provide practical and evidence-based recommendations for reducing prolonged waiting times.

Recommendations may be presented in bullet-point format.

Each recommendation should:

• Directly address an identified operational problem
• Be supported by findings from the analysis
• Explain how the recommendation would improve the process
• Consider practical implementation within the selected setting
• Where appropriate, identify potential resource, staffing or operational implications

The recommendations should be specific to the Urgent Care Centre at Hong Kong Adventist Hospital – Tsuen Wan, rather than generic recommendations for hospitals.

6. Reference List

Provide a complete reference list containing all academic, professional and other sources cited in the assignment.

Appropriate sources may include:

• Peer-reviewed academic literature
• Operations management textbooks
• Healthcare operations research
• Relevant organisational policies
• Hospital or healthcare performance data
• Government or regulatory publications
• Relevant professional guidance

Use the required referencing style consistently throughout the assignment.

7. Appendices

Appendices are optional.

They may contain supporting information such as:

• Detailed calculations
• Process maps
• Flowcharts
• Queueing calculations
• Capacity calculations
• Data tables
• Graphs and figures
• Detailed operational data
• Reference material
• Supporting analysis

Appendices should contain detailed supporting material rather than essential discussion. Any important findings should be discussed within the main body of the assignment.

Appendices are not included in the word count.

Assignment Requirements at a Glance

Experts Answer on Above Question on Care Management

Introduction

Hospital emergency and urgent care institutions face widespread waiting times that hinder immediate medical service delivery and effective healthcare. The Urgent Care Center of the Hong Kong Adventist Hospital – Tsuen Wan operates as a key medical service point yet patient waiting periods have worsened over time. Extended waiting periods in healthcare facilities generate multiple negative results including compromised safety for patients and higher mortality rates together with dissatisfied patients and overwhelmed staff. The steady growth of urgent care patient numbers requires Healthcare leaders to find the root causes of operational inefficiencies and develop practical solutions which represent a critical operational priority.

The advanced healthcare infrastructure together with technological tools in Hong Kong faces organization-wide challenges including insufficient beds and fragmented operational processes as well as workforce shortage which leads to emergency department crowding and inefficient care delivery. Long emergency department stay times create poor health results along with higher medical expenses as confirmed by worldwide research. The increasing requirement demands operational frameworks such as Lean thinking and process improvement cycles including Plan-Do-Study-Act (PDSA) together with service delivery model redesigns for higher efficiency.

The research investigates the complete processes of the Urgent Care Center Hong Kong Adventist Hospital – Tsuen Wan in detail. Data-Driven evidence-based methods will be used to determine the factors behind delayed waiting time durations. A combination of lead time analysis and value stream mapping and root cause analysis will serve to identify operational challenges in the processes The analysis includes an examination of Lean healthcare best practices together with quality improvement methods to create interventions that address waiting time delays while enhancing patient movement.

This report implements systematic approaches to find hospital management support in building reliable and responsive urgent care services. The recommendations derive from patient-centered sustainable models which combine operational efficiency with clinical excellence.

Organisational Background

Under the Adventist Health network HKAH–TW operates as a private not-for-profit facility which serves the community through its Tsuen Wan location. HKAH-TW operates from its western New Territories location to provide community healthcare services through its wide range of emergency and outpatient and inpatient care facilities throughout more than five decades. The hospital upholds Christian values while delivering patient-centered care that focuses on physical as well as emotional and spiritual welfare (Hong Kong Adventist Hospital – Tsuen Wan).

One vital section among the multiple specialized departments in the hospital stands the 24-Hour Urgent Care Center as the base of emergency medical response. The center addresses non-emergency urgent healthcare demands by providing a solution that bridges regular screening clinics and complete emergency hospital wards. The facility delivers services to multiple patient groups which include residents in addition to foreign visitors who choose Hong Kong for their healthcare needs. Under Hong Kong Hospital Authority regulations the hospital maintains international standards of clinical practice as well as safety regulations.

Although it maintains private hospital status HKAH–TW faces operational challenges identical to those of public healthcare institutions when dealing with changing patient volumes combined with elevated patient expectations and restricted resources. The hospital maintains its core mission of providing timely quality care yet patients currently face escalating problems with emergency care because of delayed appointments and poor triage procedures and inefficient patient movement practices.

As an organization HKAH-TW upholds continuous improvement values and previously implemented Lean Six Sigma in different departments. The unpredictability of urgent care patient flow creates special operational difficulties because of the swiftly moving series of acute conditions. The hospital must address urgent care inefficiencies to defend its quality standards while attaining best patient results. Analysis of extended waiting time origins serves this objective by offering systematic solutions through this document.

Problem Statement and Justification

An Urgent Care Centre (UCC), HKAH–TW, has recently been under escalating operational stress with patient waiting time stretches up to 2-3 hours for treatment. This slight delay on some global scale, goes against the hospitals leading standard for the prompt and efficient care and has given another cause for concern amongst patients and shareholders, given added pressure of the PPI market and their associated expectations from the private healthcare sector.

There is a critical choke point in peak hours, especially between 21:00 and 01:00, when patient flow peaks. This period overlaps with low overnight staffing capacity and decreased availability of senior clinical staff. Consequently, triage evaluation is delayed, diagnostic processing times are lengthened, and bed turn-around rates slow down resulting in cascading delays through the care delivery continuum. These organizational inefficiencies undermine both the quality of service and patient safety.

Added to the problem is the projected 10–20% growth in patient load over the next year, mainly resulting from the public health system reforms designed to rationalize services and divert less critical cases to the private sector. Although this policy can decrease the burden on public emergency departments, it adds another burden to private hospitals such as HKAH–TW, which might not have the infrastructure and resources to deal with the influx without compromising the standard of care.

The imperative for action is heightened by its direct impact on patient safety, satisfaction, and institutional viability. Delays in treatment can worsen medical conditions, especially among vulnerable patients with chronic diseases or acute complications. Extended waiting times also erode patient trust and satisfaction, two key indicators for a private institution that depend on reputation, word-of-mouth, and repeat visits for long-term sustainability.

Further, if the hospital gets overburdened, it could lead to a general overload in the private healthcare system, undermining the desired impact of public system reforms. Considering these complex challenges, there is an imperative need for an organized operational improvement program. The report will use evidence-based instruments from Lean and quality management to determine constraints and recommend interventions that can lastingly decrease waiting times and improve patient flow in peak demand.

Operations Management Framework

In order to meet the long waiting times at the Urgent Care Center of Hong Kong Adventist Hospital – Tsuen Wan (HKAH–TW), this review takes a multi-tool approach to operations management. The tools chosen Lead Time analysis, Lean methodology, and the Plan–Do–Study–Act (PDSA) Cycle are deeply rooted in healthcare quality improvement literature and are rated highly in terms of being congruent with the urgent care delivery context.

Lead Time is the cumulative duration a patient takes to go through the entire urgent care process, from initial registration to discharge or referral (Matt, et.al. 2018). As an indicator of service efficiency in this context, lead time directly impacts patient satisfaction, clinical results, and operational throughput. By charting and examining lead times, inefficiencies within each process stage (i.e., triage, diagnostics, treatment, and discharge) can be found and addressed by intervention.

Lean philosophy, which was initially borrowed from the Toyota Production System, seeks to remove waste, eliminate non-value-added activities, and improve flow. In healthcare, Lean has been used to rationalise workflow, maximise the use of Lean staff, and mitigate delays in the emergency department. For HKAH–TW, Lean principles will be used to discover wasteful activities like redundant documentation, unnecessary patient transfers, and inefficient diagnostic sequencing thus enhancing responsiveness during peak hours.

Plan–Do–Study–Act (PDSA) Cycle is a dynamic, iterative quality improvement model that is best suited to test small-scale changes prior to full implementation. Relative to Six Sigma, which is data-driven and best for high-volume settings, PDSA has a less complicated and more malleable approach that is best applied to service-oriented systems such as urgent care with complex, variable, and human-intensive processes (Institute for Healthcare Improvement). PDSA accommodates fast experimentation, learning by the team, and immediate adjustment essential strengths in handling unpredictable patient volumes and personnel availability.

These instruments were chosen due to their established effectiveness within healthcare environments. applicability to the problems at hand, and compatibility with resource constraints of the hospital. Taken together, they offer a harmonious framework in which to study existing inefficiencies, apply evidence-based solutions, and track progress over time. With measurement (lead time), process optimization (Lean), and continuous improvement (PDSA), HKAH–TW is able to craft a robust and sustainable solution in order to optimize patient flow and minimize waiting times.

Analysis of Existing Process Using Lead Time

One key point for enhancing the performance of urgent care is to analyze the current patient flow with lead time analysis. Lead time is the aggregate elapsed time from process start to process end from registration of a patient to discharge. By creating a map of the current workflow and capturing time at each step, operational bottlenecks are identified and intervention is aimed.

Current Patient Flow:

• Registration: Patient comes into the Urgent Care Center and gives personal and insurance information.
• Triage: A nurse evaluates the patient’s symptoms and classifies urgency.
• Doctor Consultation: Depending on triage priority, the patient waits to be seen by a physician.
• Diagnostic Tests (if necessary): Lab work or radiology services are conducted.
• Pharmacy: Medications prescribed are filled.
• Discharge: Last documentation and instructions are released.

Each of these phases adds to the overall lead time, and deviations in flow tend to occur as a result of clinical complexity, arrival time, and availability of staff.

Measured Lead Times:

Taking internal data from the records of the hospital (sampled for one month), the following average lead times were observed:

The research shows total lead time spans 180 to 230 minutes which demonstrates the 2–3 hours of waiting regularly observed by patients.

Identified Bottlenecks:

Patients experience their longest wait during the period between triage and doctor consultation at 60–90 minutes specifically within peak times from (21:00 to 01:00). The period of delay happens because the department has only one doctor and one nurse working at each shift during these hours. Additional time delays of one hour can occur in diagnostic procedures because laboratory and radiology staff operate with limited availability during after-hours.

Distribution at the pharmacy adds significant time to the process when prescribing additional information or specific medications are unavailable. The need for several tests leads patients to encounter fragmented care since departments fail to work together and documentation systems operate inefficiently.

Process Inefficiencies:

• Two queue periods exist when patients need to wait as there is no synchronization between registration and clinical assessment activities.
• The hospital lacks a live queue management system which produces inconsistent workloads for doctors as well as uncontrolled patient wait-time expectations.
• The transition between consultation evaluation and pharmacy distribution requires extended time because the hospital uses old software in combination with paper-based documentation systems.

This thorough examination of lead time requires immediate actions to be taken. Addressing operational delays in the doctor consultations and diagnostic services allows HKAH-TW to minimize complete patient waiting periods. Application of Lean principles with PDSA cycles allows the hospital to discard unnecessary processes while enhancing both organization decisions and time-sensitive treatment delivery.

Bottleneck Identification Using Lean Principles

Lean methodology derives from the Toyota Production System to remove wasteful aspects which allows businesses to maximize customer value. Healthcare improvements result from non-value-adding activity identification which leads to better patient results together with enhanced service efficiency. Employing Lean tools like Value Stream Mapping (VSM) and the TIMWOOD waste framework (Transportation, Inventory, Motion, Waiting, Overproduction, Overprocessing, and Defects), this study examines the particular inefficiencies that are causing extended waiting times at the Urgent Care Center of Hong Kong Adventist Hospital – Tsuen Wan (HKAH–TW).

Waste and Process Inefficiencies

The existing urgent care Value Stream Map designates numerous phases where multiple forms of waste accumulate.

• Delays (Waiting): The longest form of waste emerges from patient waiting durations which extend between 60 to 90 minutes from the start of triage until they meet with a physician. During peak time hours extending from 21:00 to 01:00 the patient wait time increases because the facility maintains only one on-duty physician. The prolonged waiting period generates neither clinical worth nor creates satisfaction among patients while raising the risk exposure.
• Duplication (Overprocessing and Motion): The patient information must be repeated twice during the registration process and at triage which creates an over processing situation. The absence of connected digital systems forces healthcare professionals to duplicate entry of patient data into separate systems. Staff movement between different units such as the pharmacy to the nursing station indicates both pointless time consumption and extra movements.
• Fragmented Diagnostics (Waiting and Transportation): Patient delays occur frequently when receiving diagnostic services because tasks fail to complete efficiently due to multiple reasons such as transportation problems between departments, poor communication channels or inadequate personnel support during off-hours. Extensions between stages produce extra time periods yet fail to enhance clinical emergency needs in various non-urgent situations.
• Underutilised Staff Time (Inventory): Staff availability is unevenly distributed. The system shows both times of empty capacity alongside periods of extreme understaffing during peak operating hours. Errors in resource management and scheduling lead to time wastage thus conforming to Lean principles of ‘inventory’ waste.

Table on Bottleneck Identification with Lean Principles

Key Bottlenecks Identified

Analyzing the system according to Lean principles together with waste identification methods revealed three main operational restrictions as follows:

• Physician Availability During Peak Hours:

Patients experience severe throughput limitations because of the insufficient medical staff during busy evening hours between 21:00 and 01:00. More patients during rush periods exceed the current system capacity leading to treatment delays which spread through all stages of the care pathway.

• Triage Inefficiencies:

The past model of patient triage uses a static first-come-first-served approach instead of dynamic priority assessment tools. The process slows down because triage nurses need to consult others or elevate unclear situations which disrupts the patient movement. There is also disparity in using levels of urgency, causing non-urgent patients to clog precious consultation time.

• After-Hours Diagnostic and Pharmacy Delays

Most tests are not available on-site after midnight, and there are limited pharmacy personnel, leading to delays in drug dispensing. This greatly hampers discharge for patients who would otherwise be discharged immediately after consultation.

Lean Insights for Intervention

Lean implementation promotes streamlining processes to eliminate non-value-adding steps. Some possible improvements are:

• Implementing real-time patient tracking and triage escalation tools.
• Cross-training nursing staff to assist triage and basic diagnostics.
• Having a pull system for diagnostics, where tests are ordered only as needed based on consultation, minimizing overprocessing.
• Rescheduling physicians according to peak load data, instead of rigid shift patterns.

Improvement Strategy Using the PDSA Cycle

A structured improvement strategy leveraging the Plan–Do–Study–Act (PDSA) cycle will address prolonged waiting times together with bottlenecks at Hong Kong Adventist Hospital – Tsuen Wan (HKAH–TW) urgent care processes. The PDSA cycle enables gradual interventions which use real-time data to develop tested procedures for full implementation. A pilot project to improve physician staffing during busy hours is presented in the following design.

Plan

The essential change of staff deployment brings an extra doctor to work during peak hours from 21:00 to 01:00 since these are the time slots with maximum patient volume and longest wait times. The urgent care unit functions now with low medical staffing numbers throughout this period causing patients to wait extended periods from triage until they meet with a physician. The study will assess if adding another doctor to the staff pool can efficiently enhance patient flow and positive patient experiences.

Other preparatory measures include:

• The implementation of a clinical lead who will control the pilot phase.
• All personnel working in this schedule change need detailed information about operational adjustments.
• Healthcare professionals need to establish reference values for monitoring (Triage-to-Consultation wait time duration, hourly patient visits, patient approval indicators)

Do

The healthcare facility will conduct this test throughout a five-day public holiday period featuring past record-breaking patient volumes. The trial will involve:

• Two physicians on duty during 21:00–01:00 instead of one.
• Health staff will track patient entry times while observing operational system movements in addition to maintaining personnel workload records.
• Collection of both quantitative (wait times, patient throughput) and qualitative (staff and patient feedback) data during and after the pilot.

Observational research will assess the impact of more physicians on the workflow through diagnostic testing areas and medication distribution centers and patient discharge readiness procedures.

Study

The following criteria will determine the results during and after the pilot stage:

• Wait time reduction between triage and doctor consultation.
• Overall lead time from registration to discharge.
• The total quantity of healthcare consumers each medical staff member examines within a one-hour work period.
• Patient satisfaction surveys, especially on perceived wait time and quality of care.
• Staff feedback on changes in workflow and perceived effect on workload and stress.

Early results should show whether the change relieves the main bottleneck without inducing new delays in downstream processes. For example, an increase in consultations may overwhelm the pharmacy or diagnostic services, which will also be tracked.

Act

According to the findings of the study, management will determine if:

• Implement the change and incorporate the extra peak-hour physician into the permanent staffing structure.
• Modify the intervention by adjusting shift start/end times or considering physician cross-coverage from other departments.
• Drop the intervention if outcomes reveal little effect or introduce new inefficiencies.

Should the intervention be successful, subsequent PDSA cycles will evaluate complementary strategies such as:

• Agile staffing patterns which adjust resources on a real-time basis based on patient flow in real-time.
• Improved triage procedures which involve the use of digital equipment for urgency rating
• Automated discharge practices during periods of high volume, including dedicated in-pharmacy services.

Expected Outcomes and Key Performance Indicators

The PDSA cycle-based implementation of the improvement strategy will create quantifiable operational and patient satisfaction improvements at the Urgent Care Center (UCC) of Hong Kong Adventist Hospital – Tsuen Wan. The most significant outcome of the improvement strategy will reduce waiting times below one hour when compared to the existing two-hour peak period waiting times (21:00–01:00). The selected waiting time metric functions as the main evidence that demonstrates enhanced patient movement and staff resources that match actual patient volume.

The implementation success of changes will be measured through the evaluation of Key Performance Indicators (KPIs) listed below:

• The hospital monitors its patient movement by counting how many patients pass through its system hourly especially when the patient load reaches its peak. An increased number of patients who receive care without reduced quality serves as a marker for operational excellence.
• The time from registration to discharge constitutes the Average Lead Time measurement. Monitoring activities will show whether processing blockages shift their positions or disappear altogether.
• Healthcare service evaluations were measured through patient surveys which collected feedback on waiting duration together with assessments of received care quality and service quality perception.
• Staff Workload Index combines evaluation of nurse capacity with patient volumes and observational data through time-tracking systems to track staff burnout and workload balance.

The implementation of sustainability measures will support prolonging and integrating the established improvements. These include:

• Every day medical staff utilizes electronic health records tools to track real-time data which helps monitor the KPIs through dashboard systems.
• The staff and trend assessment team meets monthly for reviewing operational data and new challenges alongside altering the work schedules.
• Staff members will need continuing education to learn about updating triage and consultation and discharge approach methods.

Through this results-driven approach the hospital will achieve both shorter waiting times and develop resilient patient-oriented urgent care systems that support strategic objectives.

Limitations and Constraints

Multiple factors derived from this operational analysis will restrict the successful execution and results of planned modifications.

The limitations stem mainly from the way real-time data is available and accurate. The precise measurement of lead times at Hong Kong Adventist Hospital – Tsuen Wan becomes limited by inconsistent data input through their electronic health records system especially with timestamps at patient-interaction points. Past data assessments become unreliable when there are open gaps and human mistakes in documentation systems.

The limited availability of staff becomes a major challenge for the hospital system especially when operating during night shifts and public holidays. Adding a second physician during peak hours from 21:00 until 01:00 could both negatively affect other medical divisions and lead to higher operating expenses. Strained budgets and lack of suitable staff would restrict the development of sustainable or scalable flexible staffing models. Staffing implementation through administrative approval currently produces delays when new staffing schedules are requested.

The proposed method remains feasible but such barriers emphasize the necessity of a structured implementation schedule together with staff collaboration and continuous adaptation to ensure enduring achievement.

Conclusion

This analysis of operations has brought to light the pressing necessity for enhancement of patient flow and service delivery within the Urgent Care Center at Hong Kong Adventist Hospital – Tsuen Wan. The ongoing problem of delayed waiting times 2–3 hours on average during peak seasons emphasizes systemic inefficiencies that, if left uncorrected, would jeopardize patient safety, satisfaction, and the hospital’s capacity amidst public health reform.

By employing established operations management techniques Lead Time, Lean philosophy, and the PDSA Cycle the report charted existing inefficiencies, highlighted critical bottlenecks like triage delay and short supply of physicians, and outlined a realistic, scalable plan for improvement. The pilot change recommended by reallocating an extra doctor during busy periods, augmented by real-time feedback loops and monitoring, is a realistic step towards minimizing average wait times to below one hour.

The desired outcomes are quantifiable by patient throughput, lead time, and satisfaction scores, with digital tracking and monthly review ensuring sustainability. Constraints do exist, notably around staffing and behavioural aspects, but the analysis offers a systematic basis for focused reform. Overall, the hospital is poised to implement these changes in operations, improving its preparedness for an age of rising public demand and heightened expectations for effective, patient-focused care.

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