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Most automated medication dispensing cabinets store approximately 80% of the medications your patients need.
SinglePointe automatically assigns each patient’s medications to the automated dispensing cabinet, where they are stored in a patient-specific drawer.
Medications are removed against a patient’s profiled order, reducing the potential for medication errors. Nurses obtain medications from one location instead of tracking down medications from multiple areas in the unit.
Tracks inventory through the automated dispensing cabinet, providing a complete audit trail. Automatically assigns each patient’s medications to the automated dispensing cabinet, eliminating the manual assignment of medications to a given location.
Tracks all patient-specific medications and provides a complete audit trail to help identify and quickly resolve issues. Restock levels are calculated automatically based on patient medication order frequency and actual usage. System identifies which patients are moving to new patient areas and establishes an efficient process to remove those patients’ medications and assign them to the new cabinet during the restock process. Creates a streamlined workflow for removing and tracking medications remaining in the dispensing cabinet for patients who have been discharged, which helps to resolve potential billing discrepancies. The Savvy™ mobile medication workstation from Omnicell should not be confused with ordinary hospital medication carts. This fully integrated solution features Omnicell's Anywhere RN™ software application and a wireless, medical-grade mobile workstation. The Anywhere RN software allows nurses to order medications in quieter areas away from interruptions, assisting in preventing medication errors.
Savvy provides secure transport of medications from the ADC to the point-of-care, creating a critical layer of accountability and addressing ISMP recommendations for safe transport of medications. Nurses can place all needed patient medications for a medication pass into patient-assigned locking drawers and then move from room to room, instead of returning to the ADC between each patient.
Reduces trips back to the cabinet to record medication waste, which can now be done remotely. Savvy seamlessly integrates the Omnicell ADC, mobile workstation, and bedside point-of-care (BPOC) systems during the medication administration process, to enable a closed-loop process for tracking medication accountability. Savvy is part of the Unity platform of solutions that share a single database, helping to eliminate redundant data entry that can lead to errors.
Eliminates the manual process of labeling drawers: patient-specific drawers (up to 12) are automatically assigned via the software. Features independently locking drawers, which minimizes the risk of administering the wrong medication to a patient. Omnicell’s unique guiding lights technology helps nurses quickly identify the drawer that has been unlocked, adding speed and convenience to the medication administration process.

Lithium-ion hot-swap battery system (2 batteries) provides up to 18 hours of continuous run time. Battery charging station conveniently charges depleted battery without having to plug the Savvy unit into a power outlet.
Nurses can focus on patients without worrying about running out of power at a critical time. If you continue to use the site without changing your settings, we'll assume you agree to this.
The programme of training is being rolled out across Cwm Taf Health Board to improve the quality of care patients with diabetes receive and prevent potentially life-threatening insulin and medication errors.
As part of the ThinkGlucose work, all wards at Prince Charles Hospital, in Merthyr Tydfil, the Royal Glamorgan Hospital, in Llantrisant, Dewi Sant Hospital, in Pontypridd, Ysbyty Cwm Cynon, in Mountain Ash and Ysbyty Cwm Rhondda, in Llwynypia, have been equipped with a HypoBox for the fast treatment of diabetic patients who suffer a hypoglycaemic attack when their blood sugar levels fall dangerously low.
Two surgical and two medical wards at Prince Charles and Royal Glamorgan hospitals have piloted the ThinkGlucose scheme. Almost one in five patients admitted to hospital in the Cwm Taf Health Board area have diabetes. In Cwm Taf Health Board, the error rate for patients who were treated with oral hypoglycaemic agents, to control their blood sugar levels, was 60% and the insulin error rate ranged from 23% at the Royal Glamorgan Hospital to 64% at Prince Charles Hospital. The second national audit revealed error rates on the pilot wards at the Royal Glamorgan and Prince Charles hospitals had fallen dramatically.
Diabetes is an incurable, life-long condition, which has serious and life-threatening complications, including heart disease, kidney failure, blindness and a risk of limb amputation as a result of severe diabetic ulcers.
Peter Tyndall, the Public Services Ombudsman for Wales, raised serious concerns about the care of patients with diabetes in hospital following the death of an 80-year-old man admitted to Bronglais Hospital in Aberystwyth. Figures from NHS Quality and Outcomes Framework show 5% of the population in Wales have diabetes (160,533), however the Welsh Health Survey estimates 6% of the Welsh population have diabetes. As you also may recall from previous discussions, note that there are six categories of special cause variation. Using another tool alongside the fishbone makes for greater insight and more actionable data. Next we look at the p values associated with each of the x’s to determine whether any of the x’s affect the Y in a statistically significant manner.
A trauma center had issues with a perceived excess time on “diversion’, or that time in which patients are not being accepted and so are diverted to other centers. Candidate reasons included an idea that the emergency room physicians (names changed in the figure beneath) were just not talented enough to avoid the situation.
For this reason, the trauma and acute care surgery team performed an Ishikawa diagram with relevant stakeholders and combined this with the technique of multiple regression to allow for sophisticated analysis and decision making. Variables utilized included the emergency room provider who was working when the diversion occurred (as they had been impugned previously), the day of the week, the weather, and the availability of intensive care unit beds to name just a sample of variables used.
The ICU was expanded in terms of available nursing staff which allowed more staffed beds and made the ICU more available to accept patients.

In conclusion, you can see how the fishbone diagram, when combined with the multiple regression, is a very powerful technique to determine which issues underly the seemingly complex choices we make on a daily basis. It also increases the risk of loss, diversion, missing doses, and even potentially fatal medication errors.
Savvy streamlines the medication administration process and provides safe and secure transportation of medications from the automated dispensing cabinet (ADC) to the patient's bedside. Because clinicians can remotely select patient medications quickly and securely, from any location at any time, their transaction time at the ADC is reduced, providing more time for direct patient care.
Nurses can use the Savvy mobile medication workstation, which integrates Omnicell's Anywhere RN software, to request, retrieve, and deliver all of their patients' medications for a medication pass with a single trip to the cabinet, without compromising on security. They have a greater understanding about the classification of diabetes and the importance of appropriate ketone monitoring for people with type 1 diabetes. The first national audit of the care of hospital inpatients with diabetes highlighted patients often received sub-optimal care. A type 1 diabetic, his blood sugar had been allowed to fall to a dangerously low level (hypoglycaemia).
Please also be advised that all medical information provided by NCapsul pharmcists are for informational purposes only, and does not replace consultation with your healthcare provider. One great example is the use of the fishbone diagram and multiple regression as a highly complementary combination.
There are lots of ways to do this, and some of the specifics are ideas we routinely teach to Lean Six Sigma practitioners or clients. Recruitment and retention of new nurses were linked directly to the diversion time for the hospital:  the issues was staffed beds, and so the hospital realized that more nursing staff needed to be hired as one intervention. We sometimes talk about the fishbone as a hunt for Y=f(x) where Y is the outcome we’re considering and it represents a function of underlying x’s. At the end of the day, consider utilizing an fishbone diagram in conjunction with a multiple regression to help make complex decisions in our data intensive world. The candidate underlying x’s (which may or may not be significantly associated with Y) are identified with the fishbone diagram.
This indicates that 80% of the variability in our outcome data, or our Y, is explained by the x’s that are in the model. R^2 adjusted is a more stringent test based on the specifics of your data and we like both r2 and r2 adjusted to be higher.
Therefore, it bears saying that we take specific time to try to identify those x’s about which we have data.

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