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Patient Flow Explorer

Product Overview

Patient Flow Explorer provides hospital leadership, department level managers and clinical operational teams multiple views of data around the patient movement in and out of various locations during a visit. The application uses the admission, discharge and transfer (ADT) logs of the electronic medical record to establish patterns, trends and cycle times of common workflows.

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  • Track and trend multiple patient flow metrics to support and improve admit, transfer, and discharge processes.
  • Analyze operating room, emergency department, and other high flow areas throughput, volumes and capacity trended over time by department and other variables.


Decreased unnecessary movement and transitions, which may have a direct positive impact on patient satisfaction scores.

  • Decreased emergency department boarders.
  • Decreased number of PACU boarders.
  • Decreased overall discharge process times.


Available Measures Include:

  • Multiple metrics related to patient flow through the emergency department.
  • Metrics related to patient flow through inpatient units with distribution of admissions, transfers, and discharges by hour of day across units.
  • Multiple process metrics related to admission and discharge across units and time.
  • Details associated with a particular patient encounter including locations occupied during that time.

See Sample Screenshots of Patient Flow Explorer

Data Sources

  • EMR
  • Admit/Transfer/Discharge logs (ADT)

Patient Flow Explorer: A Deeper View


Healthcare organizations have struggled with processes related to patient flow for decades. Challenges arise with changes to measure reporting, capacity, and finding a balance between activities adding value to the patient’s healthcare experience and those contributing to waste. Organizations strive to provide high quality and cost efficient care, however the data required to evaluate the impact of workflow changes can be difficult to expose. Patient Flow Explorer supports collaborative and coordinated data to help analyze variation and discrepancies in efficiency, impact on patient safety, satisfaction and clinical outcomes.

Problem Summary?

Waits, delays, interruptions, and cancellations are so common in healthcare that patients and clinicians regard them as a normal part of receiving and providing care. Hospitals, in particular, provide a prime example of the fact that waiting is intrinsic and almost intractable. Obtaining actionable data from patient flow improvement is challenging. It requires data integration from multiple systems to support comparison across departments and workflows.

Use Cases

This application is intended for hospital leadership, department level managers and clinical operational teams.

  • Inpatient department managers striving to increase efficiency of admitting patient to the appropriate bed upon admission.
  • Infectious disease provider needs to understand/verify all locations the patient occupied during an inpatient stay.

Anticipated Improvements

Assist organization in gathering baseline data on patient flow to help improve the quality and safety of care provided to patients. Increase utilization of the data to provide informative visualization to the systemic issues across all patient care and support services areas as it relates to patient flow.

Success Measure Examples

Opportunity Identification:

  • Identify unnecessary bed transfers, not related to a change in condition.

Process Improvement:

  • Increase the percent of inpatient discharges completed by 10 am and by noon to accommodate typical bed demand patterns by x%.*
  • Decrease average time from discharge order to patient evacuation by x%.*
  • Increase efficiency of emergency department admits or direct admits by x%.*

Outcomes Improvement:

  • Reduce length of stay, which will have a direct impact on the reduction of hospital acquired conditions by x %.*

*percent set by client