Category Archives: Patient Flow

ProModel is Exhibiting FutureFlow Rx at Virtual HSPI 2021 – Feb 24-26; Register Now!

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The Institute of Industrial & Systems Engineering’s Society for Health Systems is again sponsoring Healthcare Systems Process Improvement Conference, but virtually this year. With Healthcare being top of mind for almost everyone these days, you’ll want to learn how companies are utilizing their process engineering expertise to improve our healthcare system. While you are taking in the tracks, come visit ProModel’s FutureFlow Rx booth to see what we have been up to in this space! #HSPI2021

REGISTER HERE

Be a part of leading change

The Healthcare Systems Process Improvement Conference 2021 is your source for the latest in operational and quality improvement tools, methods and concepts such as lean, Six Sigma, productivity, benchmarking, simulation and project management.

The conference program will include pre-conference workshops; educational sessions; poster sessions; ample networking events and opportunities; exhibitors with products and services to help you meet your quality, process and project goals.

You will leave this conference rejuvenated and filled with fresh ideas you can put to use immediately. Re-energize your career with new ways to address your most challenging issues. The conference program is sure to provide you with countless ideas and solutions that translate into improved efficiency, productivity, quality and competitiveness for your organization.

Conference presentations will be on the following topics:

  • Human Factors
  • Leadership and Change Management
  • Operations Research
  • Potpourri
  • Process Improvement
  • Quality and Patient Safety
  • Research
  • Sustainability

Product Launch – Process Simulator Material Handling Edition

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Aaron Nelson Product Dev. Manager Process Simulator

Aaron Nelson Product Manager

I am excited to announce the launch of the Process Simulator Material Handling Edition. This edition of Process Simulator now supports modeling material flow.

Along with the drawing environment being scaled, you now will have access to Stations, Conveyors, Path Networks and Nodes.

Image_PCS MH MFG Demo Model

Stations – A new type of activity created to enhance material handling. The station can have capacity or capacity can be turned off—designed to be used with conveyors.

  • The user can insert an on-board station into a conveyor.

pcs-station

pcs-station-properties

Conveyors – A new connector with properties to control how entities flow from activity to activity. Introducing stations in a conveyor will enhance the ability to control flow from conveyor to conveyor

  • Control speed of conveyors
  • Control distance of conveyors
  • Control orientation of entities
  • Control accumulation of entities

pcs-conveyor

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Path networks – Resource movement can be added to enhance your model with travel, pick up, and deposit time.

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pcs-path-networks-2

Material Handling usage in a manufacturing environment is obvious, but maybe not as obvious in a Healthcare Environment, but it can be valuable there too.  One example is delivering prescriptions from the hospital pharmacy to a pick-up point on each floor, from where they would be picked up and delivered to patient rooms.

Image_PCS MH HC Demo Model

You can see additional features on the Process Simulator Material Handling Edition webpage.  You can also watch our introductory webinar on how to use this new edition on the website refresher course page

Thanks for your continued business and support.  We wish you and your family good health!  Let me know if you have any questions or comments on the material handling functionality.

Aaron

 

Successful Implementation of FutureFlow Rx® at Seattle Children’s – A New Predictive Patient Flow Technology

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Dan Hickman Avatar1

Dan Hickman ProModel CTO

I am jazzed about our FutureFlow Rx work with Seattle Children’s Hospital.  What a great group of people to collaborate with.  Check out the press release below and feel free to contact me if you’d like to learn more about this new product – dhickman@promodel.com

Thanks, Dan

Seattle Childrens Logo

Integrated Discrete Event Simulation Census Predictor, Developed by ProModel Corporation, Facilitates Inpatient Flow and Access Management

SEATTLE WA, May 14, 2019 – ProModel Corporation announced the successful implementation of a new predictive patient flow technology called FutureFlow Rx® at Seattle Children’s (SC).

Members of the Enterprise Analytics Community at Seattle Children’s will be presenting their use case at the Advanced Analytics for Children’s Hospitals Conference on June 5-6 at the Ann & Robert H. Lurie Children’s Hospital of Chicago. Seattle Children’s is a co-sponsor of this new analytics conference.

Seattle Children’s, like many other hospitals, faces challenges associated with capacity pressures and inpatient access. Demand for inpatient space often outstrips capacity, whether for physical or staffed beds.

SC leadership has established policy that scheduled elective surgeries must not be canceled due to capacity. Therefore, proactively managing inpatient capacity and staffing takes on even greater urgency in that context. In order to address this issue, they deployed a predictive-analytics solution for census estimation known as FutureFlow Rx®.

Seattle Children’s Quotes

“By providing accurate projections of staffing needs, FutureFlow Rx informs daily challenges faced by every hospital with timely and detailed information.” 

  • Susan Geiduschek, RN, DNP, Sr. Dir, Assoc. Chief Nurse, Seattle Children’s

 

“Integrating FutureFlow Rx into our Inpatient Access and Flow workstreams has really supported a smooth, functional, and most importantly effective process for proactively managing census during an especially challenging flu season. Diversions are down, and so is the general level of anxiety around decision-making. Fewer ad hoc huddles, more standard work with established guiderails and actions.”

  • Ruth McDonald, MD, Assoc. Chief Medical Officer, Seattle Children’s

 

Right Patient, Right Bed, Right Time

The functional goal of every hospital is to place the right patient in the right bed at the right time. Being the region’s only tertiary-care pediatric facility, it is paramount that SC maintain capacity to serve those children that cannot receive care elsewhere in the Pacific Northwest.

Thus, they must carefully maintain capacity and ensure as few diversions as possible. Combining the FutureFlow Rx® prediction with an application designed by SC Enterprise Analytics staff, they can accurately estimate their ability to manage daily and predicted census, allowing them to proactively make operational decisions that address challenges with foresight.

ProModel Quote

“We are very excited to be working with a hospital as visionary as Seattle Children’s.  They were willing to look beyond what existed today, to determine if a patient flow improvement platform could truly help increase safe inpatient access for their young patients”  Dan Hickman – CTO, ProModel Corporation

About ProModel Corporation

ProModel Corporation is a leading provider of simulation-based, predictive and prescriptive analytic decision support solutions. A Microsoft Gold Partner, ProModel specializes in custom and COTS (Commercial-Off-the-Shelf) software and services to help organizations optimize processes, policies and resource decisions to best align with their business strategy.

Founded in 1988, ProModel has tens of thousands of users of its software globally, focused across the Healthcare, Pharmaceutical, Government and Manufacturing & Supply Chain industries.

For additional information: ProModel Marketing 610-628-6842; healthcaresolutions@promodel.com

MedModel OR Case Cart Implementation Study Shows How to Improve Patient Throughput by 38%

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Situation

Hospitals face increasing pressure to reduce costs while continuing to provide quality care to patients. The operating room, one of the most difficult and expensive wings to manage, must run efficiently in order to avoid unnecessary costs. Hospital managers often implement case cart systems which create a centralized materials management system. Case carts carry medical supplies within an operating room. The case cart system ensures that the staff obtain the necessary materials and instruments in time for their upcoming procedures (1. Making a Case for a Case Cart System).

This study was undertaken to test the impact of implementing a case cart system on the OR process in a client’s newly configured OR Suite. The impact was determined by patient delays in any stage of the OR process that was attributable to case carts.

Objectives

The client wanted a predictive analytic model which would help answer the following key questions:

  • Has the medical center acquired enough carts to satisfy the volume requirements?
  • Are there enough Sterile Processing Department resources to support the case cart process?
  • Will the case carts introduce any new delays in the patient process?
  • How many carts need to be staged prior to morning start to ensure smooth OR Suite flow?

Results

The model outputs suggest that maximum patient throughput could increase by 38% in 6 months with the implementation of a case cart system. The following additional insights were also gained from the study.

  • Determined that 55 small carts and 28 large carts are needed to ensure there are no delays due to case carts.
  • Determined that 6 SPD FTE’s are required to pack the morning case carts and 4-5 SPD FTE’s are required during normal OR operation hours.
  • Realized that cart picking must begin as soon as possible after midnight to ensure there are enough carts ready at the start of the day. To maintain a steady flow, the carts must be available and ready for the first two procedures. The modelers found that maximum case cart use time occurs early for a maximum of 1 hour.
  • The implementation of case carts caused no significant delays in patient flow times.

 

Maximum System Volume

At these higher volumes both POCU and PACU spaces become limiting factors.

SS-HC-Case-Carts-Improve-Patient-Throughput[1]

Solutions

Defining the Process

A spreadsheet defines the “patient flow” process as it relates to patient type, location sequence, staffing utilized and task times. The spreadsheet “Staff” columns work together to schedule the first staff member required for each procedure step. Some procedure steps have the staffing flexibility of allowing an alternate position to “back up” the primary position. Times for each process step are defined in the Process spreadsheet using triangular distributions which account for work time as well as wait time.

Cases Defined by Historical Data

The medical center provided historical data such as original date of surgery, the service which performed the procedure, the surgeon assigned to the case, and the OR assignment.

Block Schedule

Operating room schedules are entered onto a spreadsheet. The model solution places the previously entered cases into schedule blocks and continues through the process until the patient completes the surgical experience.

Staffing

The simulation model uses the data on a worksheet to perform scheduling tasks by staff person, primary or secondary resource group, and times that shifts begin and end.

Sterile Processing Department Input Worksheet

Data entered into the Sterile Processing Department (SPD) worksheet is matched with the procedure from the “Cases” worksheet. The model solution will produce results indicating the turn around time on the carts, and will predict the performance of SPD.

Location Assignments

A worksheet defines the primary and secondary uses of each location in the model.

Procedure Requirements

Three triangular time distributions are used on this model (Min / Mode/ Max) to represent procedure times for all clinic procedures. The first triangular is used for the procedure itself. The second triangular is used for room turnover. The third and last triangular distribution is the set-up time occurring before the next procedure is performed.

Room Restrictions

“Special Restrictions” may apply for up to five ORs. These restrictions define the rooms that may be used

by each service. An entry of “999” indicates that “any” OR may be used.

Services Using Case Carts Chart

Services using carts receive a “1” in corresponding column while services not using case carts remain blank.

References: SS-HC-Case-Carts-Improve-Patient-Throughput[2]“1. Making a Case for a Case Cart System.” Making a Case for a Case Cart System – Research – Herman Miller. Herman Miller Inc., n.d. Web. 14 June 2017.

Increasing Use of Custom ProModel Integration Yields Big Benefits

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2017-06-20 09_21_16-Keith Knudsen

Keith Knudsen ProModel Project Manager

Traditional Modeling Provides Great Benefits, But Can Do More…

Over the past 29 years, ProModel users across a spectrum of industries have demonstrated the value that modeling can bring to an organization. Just a few examples include:

  • A leading manufacturer of oilfield equipment who modeled their existing location to identify ways to optimize their processes and gained a 45% throughput increase
  • Shipbuilding companies that have used our traditional modeling to improve shipyard production and capacity planning
  • Hospitals that have used MedModel for decades to improve patient flow.

Increasingly, however, ProModel customers are looking to extend these benefits by integrating their models with other IT systems to develop web-based decision support tools. These model-based tools utilize a ProModel engine on a server, read in live data and utilize ProModel simulation and optimization capabilities to provide forecasting, automated scenario exploration and prescriptive suggestions.

Custom Integration Amplifies The Value of a Good Model

Whether created by ProModel consultants or in-house analysts, a good model (traditional or integrated) is composed of several key elements as shown below.

Custom Dev Integration Model Architecture

  1. Process Forecasting: A good model simulates an important business process in a concise way, at an appropriate level of abstraction, and provides accurate forecasting to inform key business decision making.
  2. Operational Data: To the extent possible, a good model brings together real-world data (typically from several sources) that has been validated and normalized. Operational data feeds the model, but also is mined for distributions, patterns and trends that improve the model’s predictive and prescriptive fidelity.
  3. Resources & Constraints: Every business process has factors which throttle its throughput – often in non-linear and sometimes unexpected ways. A good model can forecast the impact of changes to resources and other constraints.
  4. Business Priorities: Providing information about business priorities allows a good model to do two things: a) predict and notify users about problems and opportunities, and b) utilize automated scenario creation and optimization to explore alternatives and seek decisions that lead to most optimal outcomes.
  5. Prescriptive Analytics: A good model provides the prescriptive information to key decision makers as early as possible to support effective planning. These improved plans then feed back into the system as operational decisions and changes to resourcing, process and priorities.

Custom integrated model(s) take all of the above, integrate it with live data and makes its power available in a live, web-based format so that tactical decision-makers at all levels of the organization can utilize it. In a live integrated environment, prescriptive analytics can be provided daily or even hourly in support of near real-time decision-making.

A Growing Portfolio of Proven Custom Integration Success Stories

ProModel has now developed about half a dozen custom predictive prescriptive platforms with direct integration of the ProModel server into the customer’s operational IT environment.  Examples include:

  • Shipyard Manufacturing Capacity Planning: AREAS
  • Supply Chain Planning: DST
  • Personnel Readiness: AST
  • Hospital Patient Flow Optimization: FutureFlow Rx

AREAS capacity planning capability was featured in the Signal Magazine on page 2. The article states that Ingalls Shipbuilding estimated a potential annual cost savings of just under $1M from the use of this tool.

Benefits of Integrating Models With Live Data Systems

Benefits of a custom integration of ProModel include:

  • Pulls operational data to support strategic planning on an ongoing basis
  • Automatically projects “strategic what-ifs” (changes to resourcing, facilities or sales) to show true impact on “daily tactical decisions”
  • Ties strategic targets to operational decisions, and continuously explores alternatives to provide early warning of opportunities and risks.

For More Information…

Contact saleshelp@promodel.com if you are interested in learning more about custom model integration.

Healthcare IT: Top Trends and Innovations in 2016

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This post was originally published by Christine Slocumb on the Clarity Quest Marketing blog and has been re-posted with permission. 

As the President of one of the top healthcare marketing agencies, I’m continually fascinated at the wide array of technologies emerging in the space. Every week we get lead calls from companies with new products or services addressing pressing healthcare technology issues.

Here are some of the trends we hear lots of buzz around in 2016.

Prescriptive Analytics

Health systems are getting more sophisticated at understanding their current state using descriptive analytics of their data, however, knowing what’s going right or wrong is only a small step in fixing the issues. Now companies offer predictive and even prescriptive analytics to forecast the future and to offer corrective suggestions.

One example is FutureFlow Rx by ProModel, which not only predicts patient flow across a health system, but also gives corrective actions and likely outcomes for each.

Prescriptive Analytics versus Predictive Analytics versus Diagnostic Analytics graphic from FutureFlowRx
The move from descriptive to prescriptive analytics. Courtesy: ProModel Corporation

Data Migration Tools

Whether it’s moving DICOM images from one system to another or migrating from one EHR system to another, tools to transfer data are here to stay.

Interconnectivity

Connecting records and information systems is still in its infancy. We’re seeing more and more demand for tools that provide interfaces, such as eMedApps’ Care Connectivity Platform™, which maintains continuity and uptime while establishing bridges.

eMedApps CareBridge Interoperability Platform Diagram

Niche Practice Systems by Specialty

Epic, Allscripts, and the other big EHR dogs have trouble breaking into specialty areas such as dermatology, ENT and more notably behavioral health. Smaller companies, such as Logik Solutions, which sells billing software for behavioral health, are growing by selling into practices in specialty areas.

Consolidation in Imaging IT

IBM bought Merge; Fuji acquired TeraMedica; and Hitachi left the VNA business. PACS is a tough replacement sale and vendor neutral archives are often seen as a “nice to have” versus a “must have”. Expect to see more shakeout and consolidation in this area.

More Data Integration Between Payers, Providers and Pharmaceutical Companies

Clinicians need a better way to understand which drugs are covered under specific payer plans, at what levels, and if policies and restrictions are attached to a drug. Payers need to keep costs under control. Pharmaceutical companies want to promote their drugs as quickly and efficiently as possible. Expect to see systems such as MMIT’s Mobile Search Formulary App that offer an accurate display of drug coverage to all parties by validating data from multiple payer and pharma sources.

No doubt these are exciting times for health IT. Stay tuned for our next post on this topic after HIMSS 2017.

About the Author:
Chris is the founder and president of Clarity Quest Marketing, where she leads a talented group of marketers and designers helping healthcare and technology companies achieve marketing and business goals. To learn more about Chris’ experiences and qualifications, visit our Meet Our Executive Team page.

Architectural Firm Compares PACU Designs with Ease Using MedModel

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A post-anesthesia care unit, PACU, is a vital area within every hospital where patients can recover  from general anesthesia, regional anesthesia, or local anesthesia.

ProModel built a PACU model for an architectural firm to illustrate the difference between two design options.  This was accomplished by placing both designs in one model and having patients follow the exact same patient pattern as they enter the PACUs simultaneously.

The left or A side of the model is a Single Room design and the right or B side is an Open Bay design.  There are the same number of conceptual uses of PACU I beds in each design.  The A side has 27 dual designated pre-op and PACU II rooms.  The B side has 30 rooms, but designates specific rooms for pre-op and specific rooms for PACU II.  Macros were used extensively during the model build to enable rapid changes to the interactions of the patients within the designs.  Real arrival patterns from the hospital were used and entered using an arrival spreadsheet.

PACUComparison

The simulation revealed that the A side showed significant time savings.  Were the ORs to be kept open the same length of time, more patients could be seen on the A side.  The A side also reduced the time spent waiting, after initial arrival for a pre-op bed.  For example, the average wait for pre-op bed on the A side was 3.9 minutes.  On the B side this average was 52.8 minutes.  That’s a pretty significant difference!

These and many other solution videos are available on our YouTube Channel.

If you would like more information about ProModel solutions contact us.

Is Patient Care a Repeatable Process and Can It Benefit from System Improvements?

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headshots-daleIn my eight years at ProModel, I have come to appreciate the serious talent of our consultants.  I think they are one of our greatest assets and bring tremendous value to our customers.  When I really want to get the scoop on a project, I turn to one of them and they explain the very complex nature of our projects to me in a way I understand and appreciate.  One of these talented consultants is Dale Schroyer.

Dale is a first time grandfather, which in itself is a new challenge. As he said “Its old, but its new.  In his work as a Promodel Consultant Dale travels a great deal, however he does not really get to see or enjoy the places to which he travels.  So he and his wife have decided to start traveling and just this year they took their first vacation to Italy and thoroughly enjoyed themselves. Next on their bucket list is another trip.  They are deciding between Alaska or the British Isles.

When I last spoke with Dale he was attending the NPSF Patient Safety Congress, in Scottsdale, Arizona one of those may places he visits but doesn’t really get to see. He was happy to be in 80-degree sunshine after weeks in cool, cloudy Massachusetts. One of the programs Dale attended at the NPSF conference was an emersion workshop on RCA or Root Cause Analysis.

This program looked at what hospitals do when an adverse event occurs.  Usually such events occur because of system faults or failures, not necessarily human error.  The challenge is determining what the faults in the system are, how they can be fixed and instituting actions to fix them and measure those fixes.  Dale found it a fascinating topic because of its similarities to what is done in the Aerospace industry in which he started his career.  The instructors were Dr. James P. Bagian and Mr. Joseph M. DeRosier, one of whom is from the Aerospace industry.  Both teach at the University of Michigan which is Dale’s alma mater.  Dale spoke with them about simulation as a tool to determine hospital system shortfalls.  They mentioned that the barriers to simulation are many and often the learning curve is long and cumbersome.  Dale discussed using ProModel’s Process Simulator which can be an easier way around those barriers, since it is a simpler, Visio based tool.

As most of the attendees at the conference were nurses, doctors and an eclectic mix of engineers, what Dale observed in talking and listening to many of them is that healthcare does not consider itself a process or system industry. At this year’s conference, conversations were being started around this very issue.  The fact that doctors and nurses were having the conversation is a considerable step in the right direction.  Many in attendance wanted to know what techniques would best serve them in convincing their coworkers back home that the system approach is a good and necessary one for the healthcare industry that can benefit patients, hospitals, nurses and physicians.

Dale has over 20 years as an improvement consultant in the healthcare field at ProModel and Baystates Healthcare. One of his most significant consulting engagements for ProModel has been at Robert Wood Johnson.  In this multi-year engagement, ProModel and Dale served as a trusted advisor.  It was a project that did not just cover one unit of the hospital, but dealt with the whole evolution of the OR Suite.  It was not just the building of a single model, but a collaborative work with positive and rewarding results.

Part of what makes Dales so good at his job is the fact that he loves tackling new challenges.  Working for ProModel guarantees that each day will be very different from the last.  He will meet new people in a new environment and tackle a new problem.  The first step he generally takes when starting a new project is to spend a lot of time listening to those with whom he will be working.  He needs to understand their environment and what he must do as a ProModel expert to yield them tremendous value.

Dale just earned a Data Scientist certification. The program he completed was from Johns Hopkins and required the completion of 9 courses along with a capstone project. His capstone focused on natural language processing and it brought all of the elements of the other 9 courses together and applied them in a new and fascinating way.

As Dale and I closed our conversation, we were both wondering how others in the Healthcare Community felt about his notion that Healthcare is not a process or system industry.  We, of course, disagree.  What do you think?

We would be happy to hear your opinion about this notion.  Comment below or email me at ezohil@promodel.com.  To recommend whether Dales should visit Alaska or the British Isles, email him at dschroyer@promodel.com.

Interested in learning more about ProModel consulting, check out: http://www.promodel.com/Services/Consulting, or consulting@promodel.com.

 

 

Top 8 Benefits of Proactive Patient Flow Optimization

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DanH avatar_34902-300x300

Dan Hickman ProModel CTO

Unpredictably high numbers of scheduled admissions and an uncertain number of available beds.

Stressed staff due to ED boarding, long patient wait times, and off-service placements.

Length of stay and cost per case metrics exceed CMS value-based care efficiency measures.

Sound familiar? 

Patient flow optimization is one of the most cost-effective ways to improve operational effectiveness, the patient stay experience and your hospital’s bottom line. Here’s how.

Top 8 Reasons to Implement Patient Flow Optimization Today

  1. Decrease the Length of Stay (LOS). Find “hidden discharges” (potential candidates for discharge based on diagnosis codes and average LOS metrics) in your current census.
  2. Improve Bottleneck and ADT Issue Visibility. Simply having data does not empower decision makers. In fact, too much data can cause clinical operations staff to ignore it altogether. A patient flow optimization system delivers visual data all hospital staff can easily digest and use to make informed decisions that benefit the hospital and the patients.
  3. Right-size Staffing. By coupling accurate census predictions with staff needs, your health system will experience lower labor costs based on predictable admit, discharge and transfer (ADT) cycles, optimal staffing sizes and diminished demand for expensive nursing agency personnel.
  4. Enhance the Patient Journey. Minimize patient frustration by admitting the vast majority of inpatients to on-service units, even during peak periods.
  5. Capture Additional Revenue. Decreasing length of stay increases bed capacity, so fewer patients leave the hospital without being seen.
  6. Increase Access to Care. Patient flow optimization decreases ED boarding duration, speeds up admissions, and lowers left without being seen (LWBS) rates.
  7. Lower Infrastructure Costs. With patient flow optimization, health systems make optimal use of the existing hospital’s physical footprint, avoiding unnecessary costly build outs.
  8. Staff Satisfaction. Welcome to the stress-free huddle. FutureFlow Rx gives your staff a personal heads-up on issues affecting admissions, discharges and transfers, so they can be addressed at huddle meetings. Prescriptive corrective actions from the patient flow optimization system further empower staff with recommendations based on data and simulation.

 

About FutureFlow Rx™ Patient Flow Optimization

FutureFlow Rx by ProModel uses historical patient flow patterns, real-time clinical data, and discrete event simulation to reveal key trends, provide operational insights, and deliver specific corrective action recommendations to enhance the patient stay experience, lower costs and drive additional revenues. Our platform accurately predicts future events, helping hospitals make the right operational decisions to reduce risk, decrease LOS and improve operational margins. Schedule a demo.

dashboard 300 dpi

 FutureFlow Rx’s dashboard consists of  key performance indicator (KPI) “cards”. The left side of each card shows the last 24 hours; the right side predicts the “Next 24”; and clicking the upper right “light bulbs” provides prescriptive actions to improve the predicted future.

 

Improved Bottom Line and Better Care? Start with A-D-T

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kurt-shampine-avatar-150x150w-whitebackground

Kurt Shampine ProModel Corp Sr. VP LifeSciences

By solving issues related to admission, transfer, and discharge (ADT), patient flow optimization is one of the most cost effective and simplest ways to improve quality of care and increase revenues. Patient flow analytics systems can safely accelerate the patient journey through your health system, so you can make the best choices for your patients and your hospital’s bottom line.

Let’s take a look at how patient flow optimization can address each element of ADT.

modules_adm_dschrgewhitebackgroundA: ADMIT Patients Effectively

Efficient patient flow through hospital departments leads to satisfying healthcare experiences for everyone involved in the patient’s care. Increase safety and satisfaction by always having an admit bed in the right unit at the right time.

Emergency Department (ED) boarding and overcrowding issues are often at the center of admission challenges. 91% of hospital ED directors experience issues with overcrowding and its associated complications. When EDs try to function above their capacity limits, patients suffer from long wait times, increased lengths of stay, and improper care and attention from overloaded staff.

The key to preventing overcrowding and boarding is to address patient flow hospital-wide so admissions can be made quickly to the correct departments 24/7.

modules_adm_dschrgewhitebackground D: Solve Slow DISCHARGE Dilemmas

When admissions outpace discharges, hospitals face mounting issues such as lack of available beds, overcrowded waiting rooms, and staff shortages. Every hour of discharge delay costs your hospital up to $2,500 per patient.

Patient flow analytics can help your hospital solve the discharge puzzle to reduce length of stay, prioritize morning discharges and improve patient throughput.

A quality prescriptive patient flow system can even find hidden discharges in your current census. With one glance at a dashboard you can see which patients are approaching discharge by diagnosis, past-due discharges, and those with co-morbidity issues requiring a possible diagnosis-related group (DRG) transfer.

modules_adm_dschrgewhitebackground T: TRANSFER Smarter & Faster

Effective patient transfers play a major role in keeping patients safe and satisfied. Patients transitioning from one provider or healthcare setting to another too often get lost in the shuffle or delayed.

Patient flow optimization helps hospital staff facilitate the movement of patients from one facility, unit, or department to another using analytics and foresight to avoid any hurdles.
If a patient is initially placed in a suboptimal unit, a patient flow optimization system can prescribe a transfer to the correct unit as soon as a bed and staff are available in the correct service, ensuring that patient receives optimal care.

How FutureFlow Rx™ Solves ADT Challenges

Our real-time, prescriptive analytics system provides hospital staff with current patient flow conditions, future projections, and specific tips for improving patient flow over the entire ADT continuum.

FutureFlow Rx’s dashboard consists of key performance indicator (KPI) “cards”. The left side of each card shows the last 24 hours; the right side predicts the “Next 24”; and clicking the upper right “light bulbs” provides prescriptive actions to improve the predicted future.

Optimizing ADT effectiveness improves patient health and satisfaction, streamlines patient flow throughout the health system, and helps clinical teams work together as a cohesive unit leading to higher job satisfaction. With intelligent patient placement, unnecessary risks and costs can be more easily avoided.