At first glance, hospital bed tracking sounds like a simple, straightforward task. But if you operate a large medical center or a chain of hospitals, you likely know that there is more to bed tracking than meets the eye. Poor bed visibility, deferred bed maintenance, and a lack of centralized information can all make it difficult to keep track of available beds. Below is a look at some top bed-related challenges facing today's hospitals and the specific ways a real-time hospital bed management solution can prime your hospital for success.
The path to improved hospital bed management systems begins with an understanding of the barriers facing today's hospitals. Here is a look at some of the key challenge that negatively impact a hospital's HCAHPS rating and revenue:
"A bottleneck is the part of the patient care journey that cannot meet the demand for services efficiently. At this point, services are delayed and patient care must wait." - Patrice Spath, RHIT, Adjunct Professor University of Alabama at Birmingham.
Bottlenecks in patient flow top the list of barriers to an efficient hospital bed tracking system because they directly impact the patient experience and hospital profitability. They occur when demand for beds or a particular hospital service exceeds the hospital's available resources. If they are not addressed, bottlenecks can negatively impact the entire patient care experience.
Not being able to accurately know how many beds are available tremendously affects hospital bed management. Hospitals that lack real-time visibility of available beds are left to use outdated information to guess how many beds are available in each department. Underestimating that number can cause patients to wait as open beds remain unoccupied. And overestimating the number of available beds can lead to frustration as patients are transported to beds that are already filled.
No piece of hospital equipment is immune to problems. But when a hospital bed breaks down, the consequences are especially costly because a patient room remains unoccupied until the bed is repaired or replaced. Common reasons for defects include worn parts, operational errors, and lapses in preventive maintenance.
"Cancelling operations is not a decision we ever take lightly...We cannot operate on patients if we have nowhere to care for them. We cancelled these cancer operations predominantly due to the lack of a bed in intensive care." - John Adler, Leicester NHS Trust Chief Executive.
Canceling surgeries due to a lack of functional beds causes stress and frustration during a time that is already difficult for patients. The problem is becoming so pronounced that some patients have had their surgeries canceled twice due to bed shortages and visibility issues. In many cases, the patients take drugs and fast to prepare for surgery, only to be told at the last minute that there are actually no beds available.
In 2019, Florida VA Hospitals reported nearly $5 million in missing medical equipment. The list of missing and stolen items included a wide range of items ranging from computers to a $25,000 eye scanner. With new FDA-approved electric hospital beds costing over $10,000 and most professionally refurbished hospital beds costing over $2,000, hospitals cannot afford to lose beds to theft or misplacement. That's why hospital bed tracking is a must.
Poor patient flow, canceled surgeries, and a lack of preventive maintenance combine to create a recipe for sluggish cash flow for hospitals. And when hospitals fail to meet revenue goals, they are unable to expand services or invest in new technology. A hospital bed management system is then unable to maintain its competitive edge.
Addressing the challenges above is no longer an option for hospital administrators - it is a must. A growing number of hospitals are turning to real-time bed management software such as Simon AI to expedite their searches for available beds and keep track of the bed's maintenance history. Here are some of the top advantages a real-time bed management solution can offer.
Real-time access to bed information helps to minimize delays and bottlenecks. Thom Mayer, M.D. and Executive Vice President of Envision Physician Services, lists the "Use of Technology to Enhance Care" as one of the top five strategies to improve patient flow.
By automating hospital bed management system and bed visibility, clinical staff are no longer forced to depend on outdated information or error-prone manual notes. They can quickly find out if a specific bed is located within the ward, the hospital's post-anesthesia care unit (PACU), or within a patient room. Additionally, centralized bed authorities can devote more time to communicating with units about the needs of incoming patients because they no longer have to physically visit locations within a hospital to confirm bed availability.
Reducing the number of canceled surgeries by improving bed tracking and visibility can save a large hospital millions of dollars. For example, the number of delayed and canceled surgeries at The University of Rochester Medical Center (URMC) was estimated to be 7,500 annually, resulting in a estimated loss of $5.9 million. By improving bed management, many of these dollars are funneled back into the hospital budget.
Preventive maintenance should be performed at least annually by a certified biomedical engineer or technician. In many cases, maintenance is performed offsite or within a specific location within a hospital. Simon AI is a hospital bed tracking solution for preventive maintenance service. Additionally, the platform's notification engine can alert staff if a bed has not been removed for servicing within the recommended time frame.
Real-time bed management software like Simon AI helps users track down missing beds by enabling them to quickly find the last location of any tagged hospital bed. Users can also view the bed's entire location history to help determine who may have moved the bed. Finally, users help prevent theft by setting notifications to alert staff when a bed is being moved from a designated zone or moved out of the hospital.
"Quickly assigning patients to beds is critical to both the patients' recovery and the financial health of hospitals. Large hospitals typically employ teams of 50 or more bed managers who spend the bulk of their day making calls and sending faxes to various departments vying for their share of the beds available." - Minoo Javanmardian and Aditya Lingampally, Harvard Business Review.
Introducing Simon AI greatly minimizes the amount of staffing time spent on identifying available beds. This enables clinical staff to spend more time caring for patients and less time searching for available beds. The end result is greater efficiency and a reduction in staffing expenditures.
An improved patient experience is, by far, the most important benefit of a real-time bed management software. By improving patient flow, reducing the number of canceled surgeries, and minimizing wait times for beds, patients are able to complete their treatment faster and with a higher level of satisfaction.
A BLE-based management solution provides users with real-time information on a bed's location. The solution is user-friendly and requires little in the way of equipment. The short list of requirements include a Simon AI subscription, Kontakt.io Bluetooth LE devices, and Bluetooth LE Gateways. Compatible 3rd party devices and WiFi network infrastructures will also suffice.
Implementation is also straightforward with users simply attaching a Bluetooth tag to every bed in the hospital. And because Simon AI is hardware agnostic and compatible with a variety of 3rd party applications.The process can be summarized in four simple steps:
Once you have implemented Simon AI, you can take your hospital bed management system to the next level by retrieving and analyzing data about your beds. For example, you can pinpoint locations where delays are most likely to occur and adjust your staffing and procedures accordingly. Additionally, you can identify locations and patterns to trigger automated actions. For example, you can schedule an email alert if 365 days passes without a bed being removed from the ward for servicing.
Another key function of Simon AI is its powerful analytics. Simon AI enables users to easily review collected bed data and identify bed-related inefficiencies. The end result is a boost in productivity and efficiency.
As outlined above, a real-time management solution such as Simon AI can help you overcome some of the greatest challenges facing today's hospitals. The single best step to improving your hospital bed management system is to schedule a discovery call with a Kontakt.io specialist. During your complimentary discovery call, you will learn how Kontakt.io's solutions can help you achieve the following at your hospital:
Want to discover effective tools for tracking specialists? Check out our entry: Transforming hospital staff tracking with Bluetooth badges.
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