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Improve Your Patient Journey

Your 6-step guide to optimize patient flow in Veradigm.
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Improve Your Patient Journey
Challenges (11) Goals (11) 6 Steps Preview Outcomes Data FAQs (5)

Optimize Patient Journeys in Veradigm (Allscripts) for Better Outcomes

Complex patient journeys can lead to delays and inefficiencies. Our platform helps you discover exactly where your patient flow slows down, from initial assessment to discharge. Identify opportunities to enhance care delivery and operational efficiency, guiding you through practical improvements that reduce wait times and improve 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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Unlocking Efficiency: Why Your Patient Journey Needs Optimization

The patient journey is the backbone of healthcare delivery, encompassing every interaction a patient has with your services, from their initial registration to follow-up appointments. In a complex environment like Veradigm (Allscripts), managing these journeys efficiently is crucial. Inefficiencies, such as prolonged wait times, delayed transfers, or redundant steps, can not only compromise patient experience and clinical outcomes but also inflate operational costs and strain resources. Understanding the true flow of patients through your system is the first step towards enhancing care quality, ensuring regulatory compliance, and driving significant operational savings. Optimizing the Patient Journey is not just about speed, it's about delivering better, more consistent care.

How Process Mining Illuminates Your Veradigm (Allscripts) Patient Flow

Process mining offers a powerful, data-driven approach to dissect and understand the actual Patient Journey within your Veradigm (Allscripts) EHR. Unlike traditional methods that rely on assumptions or manual observations, process mining uses event logs from your system to reconstruct every step taken by a patient, creating a precise, visual map of their entire path. By treating each “Patient Episode” as a case identifier, you can trace individual patients from “Patient Registered” through “Initial Assessment/Triage,” “Diagnostic Test Ordered,” “Procedure Performed,” and finally to “Patient Discharged” and “Follow-up Appointment Scheduled.”

This analytical power allows you to precisely identify where bottlenecks occur, for example, long delays between “Diagnostic Test Ordered” and “Diagnostic Test Performed,” or excessive cycle time in the “Transfer to Ward/Department” activity. You can detect common deviations from standard treatment protocols, evaluate the impact of different “Admission Type” on overall journey duration, or even compare the effectiveness of various “Treatment Protocol” pathways. Process mining answers critical questions about how patients actually move through your Veradigm (Allscripts) system, providing the evidence needed for effective process optimization.

Key Improvement Areas for Your Veradigm (Allscripts) Patient Journey

Applying process mining to your Veradigm (Allscripts) Patient Journey data reveals numerous opportunities for targeted improvement. You can focus on several crucial areas:

  • Reducing Patient Cycle Time: Pinpoint stages in the journey, such as diagnostic wait times or inpatient transfers, where patients experience undue delays. By identifying the root causes, like resource contention or procedural inefficiencies, you can implement changes to reduce the overall time from admission to discharge, significantly improving patient flow and bed turnover.
  • Optimizing Resource Utilization: Analyze resource allocation across different departments and activities. For example, if patients frequently wait for consultations in one department, it might indicate a need for adjusted staffing or better scheduling coordination within your Veradigm (Allscripts) system. This helps ensure that staff, equipment, and facilities are used effectively.
  • Enhancing Clinical Pathway Adherence: Discover deviations from established “Treatment Protocol” or “Discharge Planning” guidelines. This insight helps healthcare providers enforce best practices, standardize care delivery, and reduce unwarranted variations in treatment, which often lead to better patient outcomes and compliance.
  • Improving Patient Experience: By reducing wait times and streamlining handoffs between different “Hospital Department” or “Attending Clinician,” you directly contribute to a smoother, less stressful experience for patients and their families. Insights into frequent re-admissions can also drive improvements in post-discharge care.

Tangible Outcomes of Patient Journey Process Optimization

Implementing improvements identified through process mining yields measurable benefits across your organization:

  • Decreased Patient Wait Times: Achieve significant reductions in the time patients spend waiting for appointments, diagnostics, or transfers, leading to higher patient satisfaction and faster access to care.
  • Improved Operational Efficiency: Streamline processes, reduce redundant steps, and optimize resource allocation, resulting in lower operational costs and increased capacity within your Veradigm (Allscripts) environment.
  • Enhanced Clinical Outcomes: Ensure greater adherence to best practice guidelines and treatment protocols, which can lead to more consistent and effective patient care, reducing complications and readmissions.
  • Stronger Regulatory Compliance: By clearly mapping and optimizing processes, you can more easily demonstrate compliance with healthcare regulations and standards, minimizing risks and ensuring high-quality care delivery.

Start Optimizing Your Veradigm (Allscripts) Patient Journey Today

Understanding and improving your Patient Journey in Veradigm (Allscripts) is a continuous process that offers profound benefits. By leveraging process mining, you gain unprecedented visibility into your operations, enabling you to make data-driven decisions that enhance efficiency, improve patient care, and reduce cycle time. Take the first step towards a more optimized and patient-centric healthcare delivery system.

Patient Journey Patient Flow Healthcare Operations Clinical Pathways Hospital Efficiency Patient Experience Care Coordination Discharge Planning Medical Compliance EHR Optimization

Common Problems & Challenges

Identify which challenges are impacting you

Patients experience excessive wait times during registration, triage, or when transferring between departments. These delays prolong hospital stays, reduce bed availability, and negatively impact patient satisfaction and health outcomes, putting a strain on resources within Veradigm (Allscripts) systems.ProcessMind pinpoints the exact stages and causes of these bottlenecks, whether it's staffing shortages, system handoffs, or specific departmental queues. By visualizing the actual patient flow through Patient Episode data, healthcare providers can implement targeted improvements to accelerate transitions and optimize bed utilization.

Patients with similar diagnoses often follow widely different treatment paths, leading to inconsistent care quality and unpredictable costs. This variability can result in suboptimal outcomes, extended recovery times, and inefficient resource allocation across the patient journey.ProcessMind analyzes comprehensive Patient Episode data from Veradigm (Allscripts) to reveal all actual treatment variations, comparing them against established clinical guidelines and best practices. This insight helps identify deviations, understand their root causes, and standardize care protocols for improved patient outcomes and reduced costs.

Frequent patient readmissions signal gaps in discharge planning, post-discharge care, or chronic disease management. This not only increases healthcare costs but also indicates poorer long-term patient health and reduces bed availability for new patients.ProcessMind leverages Patient Episode data from Veradigm (Allscripts) to identify specific patient cohorts, diagnoses, or discharge processes that correlate with high readmission rates. By tracing the journey leading to readmission, healthcare organizations can refine discharge protocols, enhance follow-up care, and ultimately improve patient recovery and reduce recurrent hospitalizations.

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, including activities like Diagnostic Test Performed and Procedure Performed, to visualize resource utilization patterns within Veradigm (Allscripts). It identifies periods of oversubscription or underutilization, allowing for data-driven adjustments to staffing, equipment allocation, and scheduling to enhance operational efficiency.

Long waits for diagnostic tests or slow processing of results postpone critical diagnoses and delay the initiation of necessary treatments. These holdups can worsen patient conditions, increase anxiety, and extend hospital stays, directly impacting patient outcomes and operational throughput.ProcessMind maps the flow of diagnostic activities, from "Diagnostic Test Ordered" to "Diagnostic Test Performed" and "Diagnosis Confirmed," using Veradigm (Allscripts) event data. It uncovers where the most significant delays occur, enabling targeted interventions to streamline testing processes and accelerate time-to-diagnosis.

Deviations from standard clinical guidelines or regulatory requirements expose healthcare organizations to risks of suboptimal patient care, increased liability, and financial penalties. Ensuring consistent adherence to established protocols is crucial for quality and safety.ProcessMind analyzes Patient Episode data within Veradigm (Allscripts) to automatically detect instances where patient journeys deviate from predefined treatment pathways or compliance mandates. This allows for proactive identification of non-compliant patterns, enabling timely corrective actions and ensuring higher quality, safer patient care.

Poorly coordinated or delayed discharge planning results in patients remaining in the hospital longer than medically necessary, increasing costs and reducing bed availability. It can also lead to patient dissatisfaction and higher readmission rates post-discharge.ProcessMind examines the "Discharge Planning Initiated" and "Patient Discharged" activities in Patient Episode data from Veradigm (Allscripts) to identify typical durations and common delays. This analysis highlights opportunities to streamline the discharge process, improve communication, and ensure smoother transitions for patients.

Patients often experience longer hospital stays than expected, leading to higher healthcare costs, reduced bed turnover, and potential risks of hospital-acquired infections. Identifying the root causes of these extended stays is essential for operational efficiency.ProcessMind analyzes the complete Patient Episode lifecycle, using data from Veradigm (Allscripts) to compare actual stay durations against expected discharge dates and benchmarks. It reveals specific activities or bottlenecks, such as delayed diagnostic results or specialist consultations, that contribute to prolonged hospitalization.

Gaps in communication and handoffs between different departments or specialists can lead to fragmented care, duplicated efforts, and delays in treatment progression. This often results in patient frustration and inefficiencies in the overall patient journey.ProcessMind visualizes the interdepartmental patient flow and activities like "Consultation with Specialist" and "Transfer to Ward/Department" captured in Veradigm (Allscripts). This provides insights into where coordination breakdowns occur, enabling the establishment of more integrated and efficient care pathways.

Patients not attending scheduled follow-up appointments can lead to poorer long-term health outcomes, complications, and potential readmissions. Understanding why patients miss these crucial appointments is vital for continuous care.ProcessMind tracks the completion rates of "Follow-up Appointment Scheduled" activities and subsequent interactions within the Patient Episode data from Veradigm (Allscripts). It helps identify patterns and contributing factors to missed appointments, enabling targeted interventions to improve patient engagement and adherence to post-discharge care plans.

Timely medication administration is critical for patient recovery and safety. Delays can lead to prolonged treatment, adverse events, and a negative impact on patient health outcomes. This often points to issues in pharmacy processes, physician orders, or nursing workflows.ProcessMind analyzes the "Medication Administered" activity within the Patient Episode and its preceding activities in Veradigm (Allscripts) to uncover where delays occur. By mapping the process, organizations can identify bottlenecks and implement strategies to ensure medications are delivered promptly and efficiently.

Typical Goals

Define what success looks like

This goal aims to significantly reduce the time patients spend in various stages of their journey, from admission to transfer or discharge. Achieving this can improve patient satisfaction, free up valuable bed space, and enhance overall hospital capacity, leading to better operational flow within Veradigm (Allscripts) processes.ProcessMind uncovers bottlenecks in the Patient Journey by visualizing the actual flow and identifying specific activities or departments causing delays. By analyzing event logs from Veradigm (Allscripts), it pinpoints areas for process re-engineering, allowing organizations to implement targeted improvements and measure the impact on patient throughput in real-time.

This goal focuses on reducing unwarranted variations in how patients with similar conditions are treated, ensuring consistent, high-quality care. Standardized pathways can lead to more predictable outcomes, reduced medical errors, and better resource utilization across the Patient Journey in Veradigm (Allscripts).ProcessMind provides a clear view of all existing treatment variations within the Patient Journey, highlighting deviations from ideal pathways. It analyzes event data from Veradigm (Allscripts) to reveal why and where these variations occur, empowering care teams to refine and enforce standardized protocols, ultimately improving care consistency and efficacy.

Reducing the rate of patients returning to the hospital shortly after discharge due to preventable causes is critical for patient well-being and financial sustainability. This goal directly improves patient outcomes and reduces the burden on healthcare resources within Veradigm (Allscripts) environments.ProcessMind meticulously analyzes the discharge process and post-discharge events in the Patient Journey, identifying root causes of readmissions. By correlating process patterns, such as inadequate follow-up or incomplete discharge instructions captured in Veradigm (Allscripts), it enables interventions to enhance patient education and post-acute care coordination.

Efficiently allocating staff, equipment, and facilities is crucial for operational effectiveness and patient care quality. This goal ensures that resources are utilized optimally, reducing waste and improving the capacity to serve more patients effectively within the Veradigm (Allscripts) system.ProcessMind maps the actual utilization of clinical resources throughout the Patient Journey, identifying bottlenecks and underutilized assets. By analyzing activity logs from Veradigm (Allscripts), it reveals patterns of resource contention or redundancy, providing data-driven insights to redistribute resources strategically and improve overall efficiency.

Speeding up the time from diagnostic test order to result availability is vital for timely treatment decisions and improved patient outcomes. Achieving this goal directly impacts the quality and efficiency of care delivery in the Patient Journey within Veradigm (Allscripts).ProcessMind visualizes the diagnostic testing process in detail, highlighting delays between ordering, performing, and confirming results. It analyzes event data from Veradigm (Allscripts) to identify specific procedural or hand-off issues that prolong turnaround times, enabling targeted process improvements to accelerate this critical phase.

Consistent adherence to established care protocols is fundamental for patient safety, treatment efficacy, and regulatory compliance. This goal aims to minimize deviations, ensuring that every patient receives the intended standard of care throughout their journey in Veradigm (Allscripts).ProcessMind automatically monitors the Patient Journey against predefined care pathways and compliance rules. By analyzing event data from Veradigm (Allscripts), it flags instances of non-compliance, such as missed steps or unauthorized deviations, allowing for immediate corrective action and continuous improvement of protocol adherence.

Effective discharge planning is essential for a smooth transition from hospital to home or another care setting, preventing complications and improving patient recovery. This goal leads to better patient satisfaction and reduces the likelihood of readmissions, optimizing the end stage of the Patient Journey in Veradigm (Allscripts).ProcessMind dissects the entire discharge planning process, revealing inefficiencies, delays, or missed steps that impact its effectiveness. By analyzing event data from Veradigm (Allscripts), it identifies critical path activities and potential bottlenecks, providing insights to streamline the process and ensure comprehensive patient readiness for discharge.

Decreasing the average length of a patient's hospital stay improves bed availability, reduces operational costs, and minimizes patient exposure to hospital-acquired infections. This goal significantly boosts efficiency and resource management across the Patient Journey managed within Veradigm (Allscripts).ProcessMind precisely identifies factors contributing to extended lengths of stay by mapping the actual Patient Journey and comparing it against ideal pathways. It analyzes event data from Veradigm (Allscripts) to uncover process deviations, delays in diagnostic or treatment steps, and coordination issues, providing actionable insights to shorten patient stays.

Seamless coordination between different hospital departments and care teams is vital for continuous, integrated patient care. Achieving this goal eliminates communication gaps and hand-off issues, leading to a more efficient and less fragmented Patient Journey within Veradigm (Allscripts).ProcessMind visualizes the interactions and hand-offs between various departments involved in the Patient Journey. By analyzing event logs from Veradigm (Allscripts), it highlights communication breakdowns, transfer delays, or uncoordinated activities, enabling targeted improvements to foster better collaboration and smoother patient transitions.

Ensuring patients adhere to their scheduled follow-up appointments and post-discharge instructions is crucial for preventing relapse and promoting long-term health. This goal enhances the continuum of care and supports better patient outcomes beyond the immediate hospital stay within Veradigm (Allscripts).ProcessMind analyzes the post-discharge Patient Journey, tracking the scheduling and completion of follow-up appointments and other care activities. By leveraging data from Veradigm (Allscripts), it identifies patterns of non-adherence and root causes, allowing healthcare providers to implement targeted interventions and improve patient engagement in follow-up care.

Timely and accurate medication administration is critical for patient safety and treatment effectiveness. This goal aims to reduce delays and errors in the medication process, improving care quality throughout the Patient Journey in Veradigm (Allscripts).ProcessMind maps the entire medication administration process, from order to delivery, identifying bottlenecks and points of delay. By analyzing event data from Veradigm (Allscripts), it reveals where and why delays occur, such as pharmacy processing or nurse workflow issues, enabling process optimization to ensure medications are administered promptly.

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

Obtain the pre-formatted Excel template designed for Patient Journey analysis. This template ensures your Veradigm (Allscripts) data is structured correctly for efficient upload.

View Data Template Guide Download Template
Why it matters

Having the right data structure from the start prevents errors and streamlines the analysis, setting a strong foundation for accurate process insights.

Expected outcome

A standardized Excel template ready to receive your Veradigm (Allscripts) patient journey data.

WHAT YOU WILL GET

Reveal True Patient Paths for Optimal Care

ProcessMind visualizes every step of your patient journey in Veradigm, showing you exact paths and deviations. Instantly uncover areas of delay and inefficiency to enhance care delivery.
  • Visualize actual patient flow paths
  • Pinpoint delays in assessment to discharge
  • Identify root causes of extended wait times
  • Enhance care delivery and operational efficiency
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

Driving Efficiency and Enhancing Care in Patient Journeys

These outcomes represent the measurable improvements organizations achieve by applying process mining to their patient journeys. Leveraging comprehensive patient episode data from systems like Veradigm, our analysis uncovers actionable insights that optimize workflows and elevate patient care standards.

0 %
Faster Patient Throughput

Average reduction in journey time

By optimizing patient flows, organizations reduce the overall time from admission to discharge, improving efficiency and patient satisfaction.
0 %
Lower Readmission Rates

Decrease in 30-day readmissions

Process mining identifies root causes of readmissions, allowing targeted interventions to improve discharge planning and post-care follow-ups. This leads to better patient outcomes and reduced healthcare costs.
0 %
Improved Care Pathway Adherence

Increase in protocol compliance

Ensure consistent, high-quality care by identifying and addressing deviations from standardized clinical pathways, leading to better patient safety and regulatory compliance.
0 day
Reduced Average Hospital Stay

Shorter patient hospitalization

Streamline processes within the hospital stay, from diagnostics to treatment and discharge, to minimize unnecessary days in care, freeing up beds and optimizing resource use.
0 %
Faster Diagnostic Turnaround

Quicker results delivery

Accelerate the time from ordering diagnostic tests to receiving and acting on results, enabling faster diagnoses and timely treatment decisions for patients.

Results are influenced by factors such as process complexity and data quality. The presented figures illustrate common improvements observed across various customer implementations and should be considered as illustrative examples.

FAQs

Frequently asked questions

Process mining leverages your Veradigm data to pinpoint bottlenecks and inefficiencies within the patient journey. It can reveal delays in admissions, variations in treatment pathways, and reasons for high readmission rates, helping you understand the root causes of these issues. This insight allows for targeted improvements to patient flow and resource utilization.

To perform process mining for the patient journey, we primarily need event logs from your Veradigm system. This includes case identifiers like Patient Episode, activity names, and precise timestamps for each step a patient takes. Additional attributes, such as patient demographics or treatment details, can enrich the analysis.

By visualizing the actual patient paths, process mining identifies deviations from standard protocols and inefficient resource allocation. This leads to opportunities for standardizing clinical pathways, reducing average hospital stays, and streamlining medication administration. Ultimately, these improvements enhance care quality, accelerate patient throughput, and optimize clinical resource use.

The primary technical requirement is the ability to extract event log data from Veradigm, typically via database queries, API calls, or flat file exports. This data needs to be formatted into a standard event log structure. Minimal IT overhead is usually required once the initial data connection and extraction scripts are established.

Initial insights can often be generated within a few weeks after data extraction and preparation are complete. The speed depends on data complexity and availability. More in-depth analyses and continuous monitoring capabilities can be established over subsequent months, leading to sustained operational improvements.

Data security and patient privacy are paramount. We work with de-identified or pseudonymized data whenever possible to protect patient information, adhering strictly to HIPAA and other relevant regulations. Robust data governance, access controls, and secure data storage practices are integral to the process mining setup.

Yes, process mining platforms are designed to be system-agnostic and can integrate data from various sources. While our focus is Veradigm for this patient journey, we can combine data from other EMRs, lab systems, or administrative platforms. This provides a more holistic view of the patient experience across different systems.

The data extraction typically involves identifying relevant tables and fields within your Veradigm database that contain event information. Our experts guide your IT team to query these tables for case IDs, activities, and timestamps, then transform the extracted data into a structured event log. This can be a one-time setup for continuous data feeds.

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