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Improve Your Patient Journey

A clear 6-step guide to better process efficiency
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Improve Your Patient Journey
Challenges (7) Goals (8) 6 Steps Preview Outcomes Data FAQs (4)

Optimize Your Patient Journey for Better Care

Process mining allows you to uncover hidden bottlenecks and deviations within your workflows by analyzing event logs from your source system. By mapping every Patient Episode, you can identify where delays occur and how to optimize resource utilization. Our platform provides the visibility needed to transform your data into a more streamlined care experience.

Download our pre-configured data template and address common challenges to reach your efficiency goals. Follow our six-step improvement plan and consult the Data Template Guide to transform your operations.

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Process mining offers an unprecedented view of the patient journey by stitching together every touchpoint from initial registration to final discharge. By leveraging data directly from your source system, the platform builds a comprehensive map of how patients move through your facilities. This reveals the actual path taken by a patient episode, which often deviates significantly from the standard clinical protocols designed by management. You can see precisely where transitions between departments stall, how clinical documentation lags behind actual care, and where administrative hurdles create friction. This level of transparency allows healthcare administrators to move beyond anecdotal evidence and make decisions based on the granular reality of their daily operations. By visualizing the as-is process, organizations can finally address the root causes of inefficiency that have remained hidden within the silos of different departments.

In many healthcare organizations, bottlenecks are often hidden within complex workflows that span multiple departments. By analyzing your patient journey data, you can uncover exactly where these delays occur, whether they are in the diagnostic phase, during specialist consultations, or within the discharge planning process. These inefficiencies do not just impact patient satisfaction, they also represent significant compliance risks and financial leakage. For example, if your system shows that certain mandatory screenings or administrative steps are being skipped or performed out of sequence, you can intervene before these gaps affect patient safety or reimbursement eligibility. The platform highlights these variances automatically, regardless of the complexity of your current ERP or clinical data architecture. It allows for a deep dive into the cycle times of each stage, providing a clear picture of how long a patient episode remains in each status and where the process deviates from the expected norm.

The ultimate goal of analyzing the patient journey is to ensure that every patient receives the right care at the right time. When you understand the flow of every patient episode, you can optimize resource allocation and staff scheduling to meet actual demand patterns. This data driven approach enables you to identify high performing pathways that lead to shorter stays and better recovery rates, allowing you to replicate those successes across the entire organization. By streamlining the patient journey, you reduce the burden on your clinical staff and create a more seamless experience for the patients themselves. The insights gained from our process mining technology help turn raw data from your source systems into actionable strategies for continuous improvement. By focusing on the entire patient episode, you can move away from departmental optimization and toward a holistic view of care delivery that prioritizes the patient experience.

Getting started with process mining for your patient journey is a straightforward process that does not require a complete overhaul of your technical environment. We provide a comprehensive data template designed to work with the structures found in your existing systems, ensuring that you can map your patient episodes without extensive custom coding. Simply connect your source system to our platform to begin the transformation of your raw event logs into a dynamic, interactive process map. By following our standardized data requirements, you can quickly move from data ingestion to meaningful insight, allowing your team to focus on what matters most, providing exceptional care. Our platform is built to be inclusive of any technical setup, ensuring that every organization can benefit from a transparent view of their patient care delivery. Once your data is connected, you can immediately begin identifying opportunities to reduce lead times, improve throughput, and enhance the overall quality of care.

Patient Care Clinical Efficiency Healthcare Compliance Process Discovery Operational Excellence Care Coordination

Common Problems & Challenges

Identify which challenges are impacting you

Patients often experience significant wait times between registration and initial assessment, which compromises safety and lowers satisfaction scores. These early delays create a ripple effect that slows down the entire clinical workflow and increases congestion in intake areas. ProcessMind pinpoints exactly where triage delays occur and which patient cohorts are most affected by analyzing your system event logs. By visualizing the time gaps between registration and assessment, healthcare leaders can reallocate staff during peak periods to ensure faster initial care.

Delays between ordering a diagnostic test and its performance frequently stall the clinical decision-making process. When clinicians must wait for lab results or imaging, the treatment plan is put on hold, extending the patient stay and delaying critical interventions. By mapping the diagnostic lifecycle within your data, ProcessMind highlights specific departments or test types that consistently cause delays. This visibility allows managers to address resource constraints or process inefficiencies to accelerate the patient journey.

When discharge planning begins only hours before a patient leaves, it leads to administrative gridlock and occupies beds that should be available for new admissions. This inefficiency increases the average length of stay and strains hospital capacity, directly impacting revenue and patient flow. ProcessMind tracks the timing of discharge initiation relative to the total patient episode. By identifying cases where discharge planning starts too late, we help administrators implement protocols that trigger early planning for smoother transitions.

High variability in how treatment plans are executed for similar diagnoses leads to unpredictable patient outcomes and increased operational costs. When clinicians deviate from established protocols without clear justification, it becomes difficult to maintain a high standard of care across the organization. ProcessMind compares actual patient paths against standard clinical protocols by analyzing activity logs. This analysis reveals where deviations occur, allowing clinical leaders to standardize workflows and ensure that every patient receives effective evidence-based care.

Patients returning to the hospital shortly after discharge often point to gaps in the initial care journey or inadequate discharge instructions. Frequent readmissions increase costs, reduce bed availability, and can lead to financial penalties from payers who monitor quality metrics. By analyzing the full patient episode and subsequent readmission events, ProcessMind identifies common factors or process failures that precede a return visit. This insight enables providers to strengthen discharge planning and follow-up care for high-risk patient groups.

Moving patients between emergency departments and specialized wards or between units often involves long wait times that disrupt care continuity. These transfer bottlenecks tie up staff resources and leave patients in suboptimal environments which can negatively affect clinical outcomes. ProcessMind provides a clear view of transfer patterns and wait times recorded in your system. We identify the specific handoffs that take longer than expected, enabling teams to streamline communication and logistics between departments.

Bottlenecks in scheduling, misallocation of staff, or suboptimal equipment usage lead to underutilized resources and increased operational costs. This inefficiency can cause delays in patient care and stress on clinical teams, impacting both patient experience and staff morale. ProcessMind analyzes patient episode data to visualize resource utilization patterns within your organization. It identifies periods of oversubscription or underutilization, allowing for data-driven adjustments to staffing and equipment allocation to enhance operational efficiency.

Typical Goals

Define what success looks like

Delays in initial assessment and admission create bottlenecks that ripple through the entire care continuum, negatively affecting patient satisfaction and safety. ProcessMind visualizes the flow from registration to admission to pinpoint specific bottlenecks and staffing misalignments, enabling targeted interventions to reduce wait times by 20-30%.

Slow diagnostic results delay treatment decisions and prolong patient stays, causing anxiety for patients and reducing overall bed turnover. By mapping the full lifecycle of diagnostic orders from request to result availability, ProcessMind identifies process lags and handoff inefficiencies, helping organizations cut turnaround times significantly.

Inefficient discharge processes contribute to unnecessary bed occupancy and reduced hospital capacity, often keeping patients in the hospital longer than medically necessary. ProcessMind analyzes discharge workflows to detect administrative delays and coordination gaps, providing insights to streamline the process and reduce average length of stay.

Unwarranted variation in care delivery can lead to inconsistent outcomes, increased costs, and higher risks of medical errors. ProcessMind compares actual patient journeys against standard clinical protocols to highlight deviations, empowering care teams to improve adherence rates and ensure consistent, high-quality care.

High readmission rates often indicate gaps in post-acute care coordination or premature discharge, impacting patient health and incurring financial penalties. ProcessMind correlates readmission events with prior care patterns to identify root causes, enabling providers to refine discharge instructions and follow-up protocols for better long-term outcomes.

Imbalanced distribution of staff and equipment leads to bottlenecks and underutilized assets, increasing operational costs and wait times. ProcessMind maps resource usage across the patient journey to reveal contention points, providing data-driven insights to redistribute resources effectively and improve operational efficiency.

Delays during patient transfers between units can compromise safety and stall patient flow, leading to congestion in critical areas like the emergency department. ProcessMind visualizes handoff points to expose communication breakdowns and logistical hurdles, facilitating process redesigns that ensure smoother and faster transitions between care teams.

Lapses in medication administration or follow-up scheduling disrupt patient recovery and increase the likelihood of adverse events. ProcessMind audits these critical steps against scheduled requirements to identify patterns of non-compliance, allowing organizations to implement corrective actions and automated safeguards.

The 6-Step Patient Journey Improvement Path

1

Connect and Discover
2

Map Your Process
3

Identify Bottlenecks
4

Analyze Root Causes
5

Design Improvements
6

Monitor and Iterate
1

Connect and Discover

What to do

Extract patient episode data from your clinical records and map timestamps for registration, triage, and discharge.

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Why it matters

Establishing a data foundation allows you to see the real patient flow instead of relying on subjective interviews or manual logs.

Expected outcome

A raw digital footprint of every patient episode across all departments.

WHAT YOU WILL GET

Unlock Hidden Insights into Every Patient Interaction

ProcessMind provides a transparent view of every clinical and administrative step to help you improve care quality. You will discover exactly where delays happen and how to streamline the entire treatment cycle.
  • Map every step of the real patient journey
  • Identify bottlenecks in clinical workflows
  • Reduce treatment lead times and wait periods
  • Ensure compliance with healthcare protocols
Discover your actual process flow
Discover your actual process flow
Identify bottlenecks and delays
Identify bottlenecks and delays
Analyze process variants
Analyze process variants
Design your optimized process
Design your optimized process

PROVEN OUTCOMES

Optimizing Every Stage of the Patient Episode

Healthcare providers leverage process mining to visualize the complete patient journey, identifying opportunities to remove delays and improve clinical compliance. These outcomes are the result of transforming system data into clear, actionable pathways for better care.

0 days
Reduced Length of Stay

Average reduction in patient stay

Optimizing discharge planning and internal transfers helps minimize unnecessary days in care, which frees up critical bed capacity for new admissions.
0 % faster
Faster Diagnostic Results

Improvement in turnaround time

Identifying bottlenecks between test orders and result delivery allows clinicians to make informed decisions faster, leading to more timely treatment for patients.
0 %
Enhanced Pathway Adherence

Increase in protocol compliance

Visualizing deviations from established clinical pathways ensures patients receive standardized care that aligns with safety and regulatory standards.
0 % decrease
Lower Readmission Rates

Reduction in unplanned returns

Analyzing the discharge process and post-care follow-ups identifies root causes of early returns, leading to better patient health and significant cost savings.
0 %
Faster Triage and Assessment

Reduction in initial waiting times

Streamlining the flow from registration to initial assessment reduces waiting room times and ensures patients receive clinical care earlier in their journey.
0 %
Lower Operational Costs

Efficiency gains in care delivery

Improving resource allocation and reducing the time spent on internal transfers maximizes the use of facilities and decreases the cost per patient episode.

Individual results vary based on process complexity, data quality, and organizational implementation. These figures illustrate the typical efficiency gains observed across similar healthcare environments.

FAQs

Frequently asked questions

Process mining uses event log data from your system to visualize how patients move through your facility. It identifies hidden bottlenecks, such as triage delays or ward transfer lags, providing a data-driven view of patient flow that traditional reporting might miss.

To perform an analysis, you primarily need event logs that include three core components, which are a unique identifier like a Patient Episode, clear activity names, and precise timestamps for each step. Additional attributes like department names or patient demographics can be added to provide deeper context for the analysis.

The technology identifies exactly where the journey stalls, whether patients are waiting for transport, test results, or physician sign-off. By visualizing these friction points, clinical managers can implement targeted changes to shorten cycles and increase bed availability.

Data security is a top priority, and the setup typically involves de-identifying sensitive information before the data is analyzed. You can filter out protected health information while retaining the sequence of events necessary to optimize clinical operations and comply with healthcare regulations.

Initial findings are often available within four to six weeks once the data extraction from your source system is finalized. The first few weeks focus on data mapping and validation, after which the software provides ongoing visibility into operational efficiency.

Standard reports provide static metrics like average wait times, while process mining visualizes the actual movement and loops between different events. It reveals hidden paths, rework, and deviations that traditional business intelligence tools often miss, uncovering the root causes of inefficiency.

Process mining is non-intrusive and works by analyzing the digital footprints already created during the normal course of patient care. It captures the process as it currently exists without requiring staff to change how they document activities in the source system.

By analyzing the full patient journey, the tool can find correlations between specific treatment paths and unplanned readmissions. You might discover that patients who experience rushed discharge planning or skip specific follow-up steps are more likely to return, allowing for better standardization of care protocols.

Data is generally pulled from the underlying reporting databases or audit logs of the source system using standard queries or automated pipelines. This process focuses on capturing the digital footprint of a patient episode, which is then transformed into a structured format for analysis.

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