A lean approach for improving medicines management in Australia's first cardiac hospital inventory system.

BACKGROUND: Medicines are the cornerstone of healthcare. Lean methodology approach such as Value Stream Mapping (VSM) is being used in healthcare to manage resources wisely to ensure sustainability of medicines and resources. The aim of this quality improvement study was to evaluate and improve the medication management and hospital imprest supply processes in Australia's first dedicated cardiology hospital using VSM. METHOD: We conducted a review of our medicine supply processes at a 180-bed cardiology hospital in Australia. We followed a lean methodology approach over a 4-month period from February to May 2023 and evaluated the outcome of our improvements for another 4 months from July to October 2023. We used VSM to identify non-value adding activities. Cost of medicines holding was calculated, as well as time taken to complete supply processes, pre and post. RESULTS: Pharmacy department stockholdings reduced by 51%; p = 0.000121 (from $539,662 to $275,406). Time taken to manage the inventory system also reduced by 42%; p = 0.025762 (from 148 h/month to 62 h/month). Lean methodology such as VSM can facilitate cost-effective and sustainable system improvements for pharmacy procurement systems.

CT-based TruMatch® Personal Solutions for knee replacement Surgery Does it really match?

OBJECTIVE: Patient-specific templates promises to be able to increase alignment while decreasing operative time, increasing patient throughput, decreasing instrumentation, reducing risk of fat embolism and intraoperative bleeding, decreasing tissue loss, shortening recovery, reducing post-operative pain and decreasing incidence of infection. However, multiple studies have shown conflicting results regarding these potential benefits. This study serves to critically evaluate the potential advantages and disadvantages of using a patient-specific templating technique through a single-surgeon study. METHODS: All patients who underwent primary total knee arthroplasty (TKA) for osteoarthritis of the knee using TruMatch® Personal Solutions total knee replacement by a single surgeon were identified. An age-, gender-, side-, diagnosis- and surgeon-matched cohort who underwent conventional primary TKAs was randomly identified for comparison. RESULTS: The average distal medial femur (p < 0.001), distal lateral femur (p < 0.001), posteromedial femur (p < 0.001), posterolateral femur (p < 0.001), medial tibial (p < 0.001) and lateral tibial (p = 0.12) predicted cuts showed significant difference from the actual corresponding cuts. Three knees also required the need to freehand. There was no significant difference in mechanical (p = 0.96) and anatomical alignments (p = 0.26), as well as the changes in mechanical (p = 0.06) and anatomical (p = 0.39) alignments between the two groups. Duration of surgery (p = 0.26), length of inpatient stay (p = 0.06) and incidence of wound infection (p = 1.00) were similar. Additionally, patients in the TruMatch® Personal Solutions group had a greater decrease drop in hemoglobin levels (p = 0.02), with five transfusions needed while only one patient in the conventional group required transfusion (p = 0.09). CONCLUSION: Our early experience and results with the CT-based TruMatch® Personal Solutions templates for TKA has not been promising. Despite promised, there were no demonstrable benefits with the technology. Moreover, the disadvantage of having increased blood loss was identified. Further studies are required to recommend the use of this technology.

Estimating respiratory rate from FBG optical sensors by using signal quality measurement.

Non-intrusiveness is one of the advantages of in-bed optical sensor device for monitoring vital signs, including heart rate and respiratory rate. Estimating respiratory rate reliably using such sensors, however, is challenging, due to body movement, signal variation according to different subjects or body positions, etc. This paper presents a method for reliable respiratory rate estimation for FBG optical sensors by introducing signal quality estimation. The method estimates the quality of the signal waveform by detecting regularly repetitive patterns using proposed spectrum and cepstrum analysis. Multiple window sizes are used to cater for a wide range of target respiratory rates. Furthermore, the readings of multiple sensors are fused to derive a final respiratory rate. Experiments with 12 subjects and 2 body positions were conducted using polysomnography belt signal as groundtruth. The results demonstrated the effectiveness of the method.

Heart rate estimation from FBG sensors using cepstrum analysis and sensor fusion.

This paper presents a method of estimating heart rate from arrays of fiber Bragg grating (FBG) sensors embedded in a mat. A cepstral domain signal analysis technique is proposed to characterize Ballistocardiogram (BCG) signals. With this technique, the average heart beat intervals can be estimated by detecting the dominant peaks in the cepstrum, and the signals of multiple sensors can be fused together to obtain higher signal to noise ratio than each individual sensor. Experiments were conducted with 10 human subjects lying on 2 different postures on a bed. The estimated heart rate from BCG was compared with heart rate ground truth from ECG, and the mean error of estimation obtained is below 1 beat per minute (BPM). The results show that the proposed fusion method can achieve promising heart rate measurement accuracy and robustness against various sensor contact conditions.

Evaluation and analysis of multimodal sensors for developing in and around the bed patient monitoring system.

Due to the decline in physical and cognitive abilities, many frail elderly may have to lie in the bed most of their time. It is not feasible to monitor them continuously through manual observations alone. This issue can be resolved by embedding a set of multimodal sensors into the bed and providing automated activity recognition intelligence. But it is important to design and develop such multimodal sensing intelligence system desirable to the demands made by the clinicians. This paper presents the comparison and evaluation of different sensing bed configurations to observe different granularities of patient's contexts and activities in and around the bed. Based on the achievements and lessons learned from the experimental analysis, we propose improved sensing bed hardware and software systems to meet the real needs of in and around the bed patient monitoring.

Sleeping patterns observation for bedsores and bed-side falls prevention.

Disabled or cognition impaired elderly may lie in the bed most of their time. It is important to monitor their health conditions and look out for life threatening events in and around the bed continuously. Abrupt unassisted movements may lead to falls whereas the lack of desirable movements may cause bedsores. In order to alleviate these problems, we propose automated means of continuous and unobtrusive sleeping pattern observation through pressure sensing bed. By understanding of subjects' states from observed pressure evidences, timely intervention and nursing care can be provided to subjects immediately. This enables provision of high quality care to frail and dependent elderly, and also enhances their quality of life in a cost-effective and resource-efficient manner.

Smart wireless continence management system for persons with dementia.

Incontinence is highly prevalent in the elderly population, especially in nursing home residents with dementia. It is a distressing and costly health problem that affects not only the patients but also the caregivers. Effective continence management is required to provide quality care, and to eliminate high labor costs and annoyances to the caregivers resulting from episodes of incontinence. This paper presents the design, development, and preliminary deployment of a smart wireless continence management system for dementia-impaired elderly or patients in institutional care settings such as nursing homes and hospitals. Specifically, the mote wireless platform was used to support the deployment of potentially large quantities of wetness sensors with wider coverage and with dramatically less complexity and cost. It consists of an intelligent signal relay mechanism so that the residents are free to move about in the nursing home or hospital and allows personalized continence management service. Preliminary results from a trial in a local nursing home are promising and can significantly improve the quality of care for patients.