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Improve Your Patient Journey

Your 6-step guide to optimizing patient care in Oracle Health.
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Optimize Patient Journeys in Oracle Health (Cerner) for Enhanced Outcomes

Understanding and improving patient journeys can be complex, often hiding inefficiencies that impact both care quality and patient satisfaction. Our platform helps you pinpoint exactly where delays occur, identifying the root causes of process bottlenecks. This clarity allows you to streamline operations, enhance patient experience, and achieve better clinical outcomes.

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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Why Optimize Your Patient Journey in Oracle Health (Cerner)?

Understanding and refining the Patient Journey is paramount for any healthcare organization, especially when operating within a comprehensive Electronic Health Record (EHR) system like Oracle Health (Cerner). These complex systems generate vast amounts of data, yet extracting actionable insights to truly understand patient flow, identify bottlenecks, and enhance care delivery can be a significant challenge. Inefficient patient journeys lead to longer wait times, increased operational costs, diminished patient satisfaction, and can even impact clinical outcomes. Without a clear, data-driven view, healthcare providers often rely on assumptions or anecdotal evidence, making targeted improvements difficult and often ineffective. Optimizing your Patient Journey within Oracle Health (Cerner) is not just about efficiency, it is about delivering higher quality care and improving the overall patient experience.

Unlocking Insights with Process Mining for Patient Journeys

Process mining offers a revolutionary approach to analyzing and improving your Patient Journey by transforming raw event data from Oracle Health (Cerner) into transparent, visual process maps. Instead of relying on manual observation or interviews, process mining reconstructs the actual patient pathways, from initial registration to discharge and follow-up. This powerful technique allows you to:

  • Visualize the End-to-End Journey: See every step a patient takes, uncovering deviations from ideal pathways, such as unexpected transfers between departments or prolonged stays at specific stages.
  • Pinpoint Bottlenecks with Precision: Identify exact points in the Patient Journey where delays occur, such as extended waits for diagnostic tests, specialist consultations, or bed assignments. Process mining quantifies the impact of these bottlenecks on overall cycle time.
  • Analyze Cycle Time: Understand how long patients spend at each stage of their journey, revealing opportunities to reduce Patient Journey cycle time and improve throughput.
  • Identify Root Causes of Inefficiency: Delve deeper into why certain delays happen, for instance, by correlating wait times with specific departments, clinician availability, or admission types recorded in Oracle Health (Cerner).
  • Validate and Improve Protocols: Compare actual patient flows against established clinical guidelines and treatment protocols, highlighting areas of non-compliance or where protocols themselves could be improved.

Key Improvement Areas Discovered Through Process Mining

Applying process mining to your Oracle Health (Cerner) data for the Patient Journey can reveal critical areas for optimization. Typical improvements include:

  • Streamlining Admissions and Triage: Reducing wait times at registration, optimizing initial assessment processes, and ensuring patients are directed to the correct care pathway more swiftly.
  • Accelerating Diagnostic and Treatment Pathways: Identifying and eliminating unnecessary delays between diagnostic test orders, performance, and result delivery, leading to faster diagnoses and treatment initiation.
  • Optimizing Transfers and Handoffs: Enhancing the efficiency of patient transfers between wards, departments, or care levels, minimizing the risk of information loss or delays during handovers.
  • Expediting Discharge Planning: Shortening the time from discharge decision to actual patient departure by identifying inefficiencies in medication reconciliation, paperwork, or follow-up appointment scheduling.
  • Improving Resource Utilization: Better allocating staff, equipment, and facility resources by understanding peak times, common pathways, and resource demands based on actual patient flow data.
  • Ensuring Compliance: Verifying that clinical protocols and regulatory requirements are consistently met, thereby reducing risks and improving patient safety.

Expected Outcomes of Patient Journey Process Optimization

By leveraging process mining to optimize the Patient Journey within your Oracle Health (Cerner) environment, you can expect substantial and measurable benefits:

  • Reduced Patient Journey Cycle Time: Significantly decrease the total time patients spend in your care, from admission to discharge.
  • Enhanced Patient Experience and Satisfaction: Improve patient satisfaction through shorter wait times, smoother transitions, and more predictable care pathways.
  • Improved Clinical Outcomes: Faster access to diagnosis and treatment can lead to better health outcomes and reduced readmission rates.
  • Increased Operational Efficiency: Achieve higher throughput with existing resources, reducing operational costs and improving staff productivity.
  • Stronger Compliance and Risk Mitigation: Ensure consistent adherence to clinical guidelines, reducing variations in care and mitigating potential risks.
  • Data-Driven Strategic Decisions: Empower your leadership with objective, evidence-based insights to make informed decisions for continuous process improvement.

Begin Your Patient Journey Transformation Today

Taking the first step towards a more optimized Patient Journey in Oracle Health (Cerner) is simpler than you might imagine. By focusing on how to improve Patient Journey, and how to reduce Patient Journey cycle time, process mining provides the clarity you need to make effective changes. This approach allows your organization to move beyond assumptions and make data-backed decisions that truly benefit patients and enhance operational excellence.

Patient Journey Patient Flow Healthcare Efficiency Care Pathway Optimization Clinical Outcomes Patient Experience Hospital Operations Admissions Management Discharge Planning Resource Utilization

Common Problems & Challenges

Identify which challenges are impacting you

Delays in initial assessment or triage can lead to poor patient outcomes, increased emergency department congestion, and negative patient experiences. This directly impacts the quality of care and operational efficiency, causing frustration for patients and staff alike. ProcessMind analyzes event logs from Oracle Health (Cerner) to pinpoint exact bottlenecks in the Patient Journey from registration to initial assessment, revealing specific steps or departments causing delays. This insight allows for targeted interventions to streamline patient flow and improve initial care delivery.

Extended waits for diagnostic test results can significantly delay diagnosis confirmation and the initiation of crucial treatment plans. This affects clinical effectiveness, prolongs patient stays, and can increase healthcare costs, putting a strain on hospital resources and patient well-being. ProcessMind visually maps the complete Patient Journey within Oracle Health (Cerner), highlighting where diagnostic test processing times exceed benchmarks. By identifying the root causes of these delays, such as resource allocation or specific lab processes, healthcare providers can accelerate patient care and reduce length of stay.

Bottlenecks in transferring patients between hospital departments or wards lead to bed shortages, increased patient waiting times, and operational inefficiencies. This impacts patient flow, resource utilization, and can negatively affect patient experience and staff workload. ProcessMind maps the Patient Journey in Oracle Health (Cerner) to identify common transfer pathways and reveal specific stages or departments where transfers frequently stall. This enables optimization of bed management, patient placement strategies, and inter-departmental coordination.

Inefficient or delayed discharge planning can lead to prolonged hospital stays, increased bed occupancy, and higher readmission rates. This impacts hospital capacity, financial performance, and patient satisfaction, often indicating gaps in post-discharge care readiness. ProcessMind analyzes Patient Journey data in Oracle Health (Cerner) to identify patterns leading to delayed discharges or readmissions, such as incomplete follow-up scheduling or late initiation of discharge activities. These insights help streamline the discharge process and reduce unnecessary stays.

Unplanned deviations from established treatment protocols can lead to inconsistent care quality, increased risk of complications, and higher healthcare costs. Ensuring adherence is critical for patient safety, outcome predictability, and regulatory compliance. ProcessMind uses event data from Oracle Health (Cerner) to automatically detect and highlight instances where a patient's journey deviates from the prescribed treatment protocol. This visibility allows for timely intervention and process adjustments to improve compliance and quality of care delivery.

Limited availability or inefficient allocation of key resources, such as specific medical equipment or specialist consultations, can create significant bottlenecks in the Patient Journey. This directly impacts patient wait times, operational efficiency, and the ability to provide timely care, leading to backlogs. ProcessMind leverages Oracle Health (Cerner) event data to pinpoint exactly where resource constraints are causing delays in the Patient Journey, for example, long waits for consultations or procedures. This allows for data-driven resource optimization and improved patient throughput.

Unacceptably high readmission rates indicate potential gaps in initial treatment, discharge education, or follow-up care, leading to poorer patient outcomes and increased costs for the healthcare system. This negatively affects patient trust and hospital reputation. ProcessMind identifies patient cohorts and specific Patient Journey pathways within Oracle Health (Cerner) that are associated with higher readmission flags. By analyzing the preceding activities and attributes, root causes can be uncovered for targeted interventions to reduce readmissions.

Significant variability in how similar patients are treated, from diagnostic steps to treatment administration, can lead to inconsistent outcomes and inefficient resource use. This impacts quality, cost-effectiveness, and the overall standardization of care across the institution. ProcessMind visually maps the different actual Patient Journey pathways recorded in Oracle Health (Cerner) for specific diagnoses or admission types, revealing process variants and their impact. This allows for standardization and best practice dissemination, improving care consistency.

Failure to consistently administer medications as prescribed can compromise patient safety, treatment efficacy, and regulatory compliance. Tracking adherence to medication protocols is paramount in healthcare to prevent adverse events and ensure therapeutic success. ProcessMind can identify instances within the Oracle Health (Cerner) event logs where medication administration activities do not align with prescribed schedules or protocols in the Patient Journey. This highlights areas for staff training or system adjustments to improve compliance and patient safety.

Unjustified prolonged length of stay for patients strains hospital resources, reduces bed availability, and increases operational costs, impacting the overall efficiency of the healthcare system. This can also expose patients to higher risks of hospital-acquired conditions. ProcessMind analyzes expected discharge dates and actual patient discharge events in the Patient Journey data from Oracle Health (Cerner) to identify cases exceeding expected LOS and determine the activities contributing to delays. This helps optimize patient flow and resource allocation effectively.

Delays in scheduling crucial post-discharge follow-up appointments can impact patient recovery, increase the risk of readmission, and lead to a lack of continuity in care. This often results in suboptimal patient outcomes and increased burden on emergency services. ProcessMind analyzes the Patient Journey to identify the time taken between discharge planning initiated or patient discharged and follow-up appointment scheduled within Oracle Health (Cerner). This reveals inefficiencies in the scheduling process for post-discharge care, enabling targeted improvements.

Typical Goals

Define what success looks like

Long wait times for initial assessments in Oracle Health (Cerner) impact patient satisfaction and can delay crucial care. Reducing these waits ensures a smoother start to the patient journey, improving patient experience and potentially enhancing clinical outcomes by allowing earlier intervention. This directly affects operational efficiency and patient trust.ProcessMind visualizes the exact duration and variations in the initial assessment process across different departments and times, identifying root causes of delays. By analyzing event logs from Oracle Health (Cerner), it pinpoints specific steps or resource constraints causing bottlenecks. You can expect to reduce wait times by 15-25%, making care more accessible and efficient.

Delays in receiving diagnostic test results can prolong patient anxiety and postpone essential treatment decisions, impacting the overall patient journey within Oracle Health (Cerner). Expediting this crucial step leads to faster diagnoses, quicker treatment initiation, and improved patient confidence in care delivery. This enhances clinical effectiveness.ProcessMind maps the complete diagnostic workflow, from test order to result availability, highlighting where delays occur and why. It identifies process variations and non-compliant paths that contribute to extended turnaround times. With insights from ProcessMind, organizations can typically reduce diagnostic result delivery times by 20-30%, leading to faster patient progression through care pathways.

Inefficient patient transfers between wards or departments within Oracle Health (Cerner) can cause unnecessary delays, logistical challenges, and patient discomfort. Optimizing these transitions ensures continuous, coordinated care, reduces staff workload, and minimizes the risk of medical errors, directly improving the patient journey experience and operational flow.ProcessMind reveals the actual paths and durations of patient transfers, exposing unnecessary handoffs, wait states, or deviations from standard operating procedures. By analyzing activity logs, it identifies specific departments or times when transfers become bottlenecks. Expect to reduce transfer times by 10-20% and improve patient throughput across various hospital units using these precise insights.

Suboptimal or delayed discharge planning in Oracle Health (Cerner) can lead to extended lengths of stay, increased costs, and rushed patient exits, potentially impacting recovery and follow-up care. Timely and effective discharge planning ensures patients leave with appropriate resources and instructions, reducing readmission risks and optimizing bed utilization.ProcessMind visualizes the discharge process from initiation to completion, identifying steps that frequently cause delays or non-compliance. It highlights variations in discharge pathways, showing where proactive planning breaks down. By understanding these patterns, ProcessMind users can typically improve discharge readiness and reduce unexpected delays by 15-25%, leading to better patient outcomes and bed turnover.

Unintended deviations from established treatment protocols in Oracle Health (Cerner) can compromise patient safety, lead to inconsistent care quality, and increase the risk of adverse events. Ensuring high adherence to clinical protocols standardizes care, improves patient outcomes, and supports regulatory compliance, strengthening the foundation of the patient journey.ProcessMind automatically discovers all actual patient care pathways and compares them against predefined clinical protocols, instantly identifying deviations, their frequency, and their impact. It pinpoints exactly where and why non-compliance occurs within the Oracle Health (Cerner) system. This visibility allows organizations to improve protocol adherence by 10-20%, leading to more consistent and safer patient care.

Resource bottlenecks, whether staffing, equipment, or bed availability, can significantly slow down patient progress through their journey in Oracle Health (Cerner), leading to delays, frustration, and suboptimal outcomes. Optimizing resource allocation ensures that patients move efficiently through care stages, enhancing throughput and maximizing the utilization of critical healthcare assets.ProcessMind provides a clear, data-driven view of how resources are utilized across the entire patient journey, identifying where shortages or overloads occur. It shows the impact of resource availability on process performance and patient wait times. Leveraging these insights, organizations can reallocate resources more effectively, potentially improving patient flow efficiency by 10-18% and reducing idle times for critical assets.

High patient readmission rates are often indicative of gaps in post-discharge care, inadequate patient education, or premature discharge, adding significant costs and impacting patient well-being. Reducing preventable readmissions within Oracle Health (Cerner) improves patient outcomes, lowers healthcare expenses, and enhances the reputation of the care provider.ProcessMind analyzes the patient journey leading up to discharge and identifies specific patterns, activities, or missing steps that correlate with higher readmission risks. It can highlight inconsistencies in discharge planning and follow-up processes. By uncovering these critical factors, ProcessMind helps reduce preventable readmissions by 5-15%, leading to more effective and sustainable patient care.

Inconsistent patient care pathways across different clinicians or departments within Oracle Health (Cerner) can lead to varied quality of care, increased costs, and unpredictable patient outcomes. Standardizing these pathways ensures a consistent, high-quality patient experience, improves efficiency, and reduces variability in clinical practice.ProcessMind automatically discovers the actual process variations in patient care, identifying all common and deviant pathways taken by patients. It visualizes which pathways lead to better or worse outcomes, allowing for data-driven standardization efforts. This capability enables organizations to reduce process variations by 15-25%, fostering more predictable and high-quality care delivery across the patient journey.

Gaps in medication administration compliance can lead to serious patient safety issues, adverse drug events, and suboptimal treatment effectiveness within the Oracle Health (Cerner) environment. Ensuring strict adherence to medication protocols is paramount for patient well-being, regulatory compliance, and overall quality of care throughout the patient journey.ProcessMind analyzes event logs to track every step of the medication administration process, identifying instances of skipped steps, delayed actions, or deviations from prescribed workflows. It pinpoints the specific circumstances or departments where compliance issues are most prevalent. Leveraging these insights, organizations can enhance medication administration compliance by 10-20%, significantly improving patient safety.

A prolonged patient length of stay in Oracle Health (Cerner) hospitals incurs higher costs, reduces bed availability for new patients, and can increase the risk of hospital-acquired conditions. Optimizing the patient journey to reduce unnecessary days in care directly improves operational efficiency, lowers healthcare expenditures, and enhances patient satisfaction.ProcessMind provides an end-to-end view of the patient journey, identifying critical path activities and major bottlenecks that contribute to extended stays. It quantifies the impact of various delays, such as diagnostic wait times or transfer inefficiencies, on the total length of stay. By addressing these specific root causes, organizations can typically reduce patient length of stay by 8-15%, freeing up resources and improving patient throughput.

Delays in scheduling follow-up appointments after discharge from Oracle Health (Cerner) can disrupt continuity of care, lead to poorer long-term patient outcomes, and increase the likelihood of readmission. Expediting this process ensures patients receive timely post-discharge support, which is critical for their recovery and overall health management.ProcessMind traces the patient journey from discharge initiation to the actual scheduling of follow-up appointments, identifying any administrative delays or handoff inefficiencies. It highlights typical durations and variations in this critical post-discharge step. By optimizing these processes, organizations can reduce follow-up scheduling times by 15-25%, ensuring a smoother transition for patients and better adherence to post-care plans.

The 6-Step Improvement Path for Patient Journey

1

Download the Template
2

Export Your Data
3

Upload Your Dataset
4

Analyze Your Process
5

Implement Improvements
6

Monitor Your Process
1

Download the Template

What to do

Get the specialized Excel template designed for Patient Journey analysis. This template provides the correct structure for extracting relevant patient episode data.

View Data Template Guide Download Template
Why it matters

A standardized data structure ensures accurate and consistent analysis, forming the essential foundation for process mining without data discrepancies.

Expected outcome

An empty Excel template tailored for patient journey data extraction, ready to be populated.

WHAT YOU WILL GET

Reveal Hidden Insights in Your Patient Workflows

ProcessMind transforms raw data into clear visualizations, revealing the actual flow of your patient journeys. Understand exactly where bottlenecks occur and how to enhance patient care and operational efficiency.
  • Visualize actual patient pathways
  • Pinpoint bottlenecks in care delivery
  • Optimize patient experience and outcomes
  • Streamline Oracle Health (Cerner) operations
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

TYPICAL OUTCOMES

Real-World Impact on Patient Care

These outcomes illustrate how leveraging process mining with Oracle Health, Cerner, data on Patient Episodes provides actionable insights, driving improvements in patient care and operational efficiency. By visualizing and analyzing the patient journey, organizations can identify bottlenecks and optimize care pathways.

0 % faster
Faster Initial Assessments

Reduced patient wait times

Identify and eliminate bottlenecks in the triage and assessment process, significantly decreasing the time patients wait to be seen by a clinician. This leads to improved patient satisfaction and more timely care.
0 days
Reduced Length of Stay

Optimized patient journey duration

Pinpoint delays and inefficiencies across the entire patient episode, from admission to discharge. Minimizing unnecessary hospital days frees up bed capacity and reduces operational costs.
0 % increase
Enhanced Protocol Adherence

Consistent clinical practice

Visualize deviations from established treatment protocols and identify root causes for non-compliance. This ensures patients receive standardized, high-quality care, reducing risks and improving outcomes.
0 % decrease
Lower Preventable Readmissions

Improved post-discharge outcomes

Analyze discharge processes and post-discharge follow-up to identify factors contributing to readmissions. Reducing preventable readmissions leads to better patient health and significant cost savings.
0 % fewer variants
Streamlined Patient Pathways

Greater process standardization

Discover the actual variations in patient journeys and identify optimal pathways. Standardizing care delivery reduces confusion, improves resource allocation, and enhances overall operational predictability.
0 % faster
Accelerated Diagnostic Results

Faster time to diagnosis

Identify delays between diagnostic test orders and result delivery, enabling quicker clinical decisions. This accelerates treatment initiation and improves patient anxiety and outcomes.

Results vary based on process complexity and data quality. These figures represent typical improvements observed across implementations.

FAQs

Frequently asked questions

Process mining visualizes your actual patient pathways by analyzing event data from Oracle Health. It helps identify bottlenecks, such as excessive wait times or prolonged diagnostic delays, and uncovers deviations from standard treatment protocols. This allows for data-driven decisions to streamline operations and enhance patient care efficiency.

To perform process mining, you primarily need event logs detailing each step of the patient journey. Key data points include a unique patient episode identifier, activity names, and corresponding timestamps for each activity. Additional attributes like resource information or outcome metrics can enrich the analysis.

Data extraction typically involves querying the Oracle Health (Cerner) database or utilizing existing reporting interfaces. It's crucial to identify the correct tables and fields that capture event logs for patient episodes. We recommend collaborating with your IT team and Cerner administrators to ensure secure and compliant data retrieval.

You can expect significant improvements such as reduced initial assessment wait times, accelerated diagnostic result delivery, and a decrease in preventable readmission rates. Process mining helps optimize resource allocation and standardize care pathways, leading to a more efficient and compliant patient experience.

A process mining solution requires a platform capable of ingesting and analyzing large datasets. While specific requirements vary by vendor, common needs include a secure data integration method, sufficient processing power, and user interface access for analysis. Most solutions are cloud-based, minimizing local infrastructure needs.

The initial setup, including data extraction and model configuration, can range from a few weeks to a couple of months, depending on data availability and complexity. Once data is flowing, initial insights can be generated rapidly, often within days. Continuous analysis provides ongoing optimization opportunities.

Yes, data security is paramount. Reputable process mining solutions adhere to strict data privacy regulations, including HIPAA. Data is typically pseudonymized or anonymized during transfer and analysis, ensuring patient confidentiality while still providing valuable process insights.

Absolutely. Process mining excels at identifying deviations from predefined clinical protocols and pathways. By comparing actual patient journeys against ideal models, it can highlight instances of non-compliance, allowing healthcare providers to investigate root causes and implement corrective actions.

While BI tools show "what happened" and reporting dashboards display aggregated metrics, process mining goes further by revealing "how and why it happened." It reconstructs actual end-to-end process flows from event data, uncovering hidden bottlenecks and variations that traditional BI might miss. It provides actionable insights into process execution.

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