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Renal Home Support Scheme quality initiative.

In 1995 the practice of visiting home dialysis patients was challenged. In order to justify this practice, a benchmarking approach was adopted comprising a literature search, surveys of all relevant patients and their primary health carers, as well as all dialysis units in Australia. The results favoured the home visits and facilitated the establishment of a baseline standard of one home visit at least every 6 months. This standard was audited and reviewed annually. In 1996, Queensland Health launched the Renal Home Support Scheme which was targeted at improving the delivery of health care in the home, leading to efficiencies in the delivery of care to specific groups within the community such as the indigenous population. Successful submissions had to identify objectives, strategies and performance indicators that demonstrated the likelihood of success. The Renal Unit at Townsville General Hospital successfully tendered a submission to Queensland Health and the scheme was implemented in November 1996.

Benchmarking↗

Community clinic treatment of depressed youth: benchmarking usual care against CBT clinical trials.

This study used a benchmarking strategy to evaluate the effectiveness of community psychotherapy for depressed youth relative to evidence-based treatment in clinical trials. Symptom trajectories of depressed youth treated in community mental health centers (CMHCs) were compared with trajectories of youth treated with cognitive-behavioral therapy (CBT) in clinical trials. Overall, outcomes of CMHC youth more closely resembled those of control condition youth than youth treated with CBT. Within the CMHC sample, ethnic minority status and low therapy dose were related to worse outcomes. However, when outcomes for Caucasian youth and youth receiving longer term services were examined, the CMHC sample still performed more poorly than youth treated with CBT. The findings support the value of developing, testing, and exporting effective therapies for depressed youth to community clinic settings.

Benchmarking↗

An audit of thrombophilia screens: results from the National Pathology Alliance benchmarking review.

AIMS: The National Pathology Alliance benchmarking review has completed six years of data collection and analysis of the workload and organisation of haematology laboratories in the UK. This study audits national practice of routine thrombophilia screening against the current standards, as set out in the British committee for standards in haematology (BCSH) guidelines on investigation of heritable thrombophilia. METHODS: Each laboratory completed a standard data collection questionnaire about the number of routine thrombophilia assays performed each year. Information was collected on which thrombophilia tests were performed as part of a routine thrombophilia screen. These results were then compared against the BCSH guidelines on investigation of heritable thrombophilia. RESULTS: Of the 57 National Health Service trusts that submitted data for review in 2002/2003, 47 performed a routine thrombophilia screen. Ten laboratories complied with the guidelines but 37 laboratories did not. CONCLUSION: There was variation in practice in the tests used in routine thrombophilia screens. There is evidence that some laboratories deviate from what may be regarded as "evidence based practice". The lack of compliance with the guidelines was in general associated with the performance of additional tests not recommended in the guideline. In a minority of laboratories, a clinically significant diagnosis would be missed by the failure to include one or more tests in a thrombophilia screen.

Benchmarking↗

Development and evaluation of an observational method for assessing repetition in hand tasks.

Several physical stressors, including repetitive, sustained, and forceful exertions, awkward postures, localized mechanical stress, highly dynamic movements, exposures to low temperatures, and vibration have been linked to increased risk of work-related musculoskeletal disorders. Repetitive exertions have been among the most widely studied of these stressors, but there is no single metric for assessing exposure to repetitive work. A new methodology enables repetitive hand activity to be rated based on observable characteristics of manual work. This method uses a series of 10-cm visual-analog scales with verbal anchors and benchmark examples. Ratings for repetition reflect both the dynamic aspect of hand movements and the amount of recovery or idle hand time. Trained job analysis experts rate the jobs individually and then agree on ratings. For a group of 33 jobs, repetition ratings using this system were compared to measurements of recovery time within the cycle, exertion counts, and cycle time. Amount of recovery time within the job cycle was found to be significantly correlated with the analysis ratings (r2 = 0.58), as were the number of exertions per second (r2 = 0.53). Cycle time was not related to the analyst ratings. Repeated analyses using the new method were performed 1 1/2 to 2 years apart on the same jobs with the same group of raters. Ratings for repetition differed less than 1 point (on the 10-cm scale), on average, among the different sessions. These results indicate that the method is sensitive to exertion level and recovery time, and that the decision criteria and benchmark examples allow for a consistent application of these methods over a period of time. This method of rating repetition can be combined with similar scales for other physical stressors.

Cumulative Trauma Disorders↗

Focusing on the experience of insomnia.

Although insomnia is defined by sleep disturbances, patients also complain of daytime problems. To better define the range of experiences associated with insomnia, we conducted 3 focus groups comprising 16 patients with chronic insomnia. Participants were asked to describe their experience of insomnia and its effects, the changes that occurred with improved sleep, and what clinicians should ask about insomnia. Participants affirmed daytime consequences that are frequently cited in the literature: fatigue, irritability, and decreased performance. In addition, members of each group reported that they felt that the impact that insomnia had on their lives was pervasive and misunderstood by others who were significant to them or treating their sleep complaints. Daytime problems are salient descriptors of the insomnia experience. Assessing the patient's daytime experiences is valued by patients with insomnia and may be used as a benchmark for treatment response.

Adult↗

Benchmarking patient satisfaction at academic health centers.

BACKGROUND: In 1991 the University HealthSystem Consortium (UHC), an alliance of 70 academic health centers, began its patient satisfaction benchmarking project. The survey, adapted from the Picker Institute survey, was pilot tested in 1992 and has been in use since 1993. Each year the project's steering committee refines the survey on the basis of member needs and survey item performance. KEY FINDINGS: Findings have shown that the survey can document the effects of specific quality improvement efforts, that patients from different medical services report different levels of satisfaction with their care, and that physician and nursing care have had the greatest impact on overall satisfaction. USING THE RESULTS: Each participating organization receives concise narrative reports of the survey results, with priorities for improvement efforts clearly highlighted. A five-to six-page Executive Summary provides the organization's executive team with a quick overview of the results, as well as a summary of the areas where quality improvements are most needed. A longer Managers' Report provides a more detailed analysis of the findings for quality managers and department heads. Sections for each major area of care can be copied and distributed as "stand alone" reports to the appropriate decision makers. For example, the section on nursing care can be distributed to the chief nursing officer and nurse managers. For each key aspect of the patient's experience, best practices for maintaining patient satisfaction are identified from across the hospitals and compiled into a catalogue. LESSONS LEARNED: The UHC patient satisfaction benchmarking program has created ongoing communication among the participating hospitals, whose staff members have been willing to share problems encountered and possible solutions.

Academic Medical Centers↗

Reinforcement learning-based dynamic ensemble for missense variant effect prediction and tiered prioritization of VUS.

BACKGROUND: Accurate classification of missense variants remains a challenging task despite major advances in genomics. Numerous computational models have been developed to assist in variant classification, but often require repeated integration and benchmarking efforts. Ensemble methods have been proposed to overcome the limitations of single predictors, but mostly rely on fixed, predefined weights that constrain their ability to capture interactions among predictive signals. METHODS: We present GenixRL, a dynamic ensemble framework that reformulates model fusion as a reinforcement learning optimization problem. GenixRL uses a Q-learning agent to learn a policy that dynamically weights the probabilistic outputs of complementary predictors, including BayesDel (addAF and noAF), ClinPred, and MetaRNN. Replacing static weighting with policy learning allows GenixRL to adaptively identify optimal weightings and substantially improve classification accuracy. RESULTS: In benchmark evaluation against 25 state-of-the-art predictors, GenixRL achieved an AUROC of 0.9644 on an independent ClinVar dataset. On saturation genome editing assays for BRCA1 and BRCA2, GenixRL achieved the best performance and ranked highest on 14 of 17 clinically significant genes in a zero-shot evaluation. Applied to uncertain and conflicting ClinVar variants, GenixRL enabled tiered, evidence-based prioritization of hundreds of thousands of variants as likely pathogenic or pathogenic with high confidence, supported by orthogonal population evidence from gnomAD. CONCLUSION: GenixRL advances pathogenicity prediction for missense variants and provides an adaptive ensemble that sorts variants of uncertain significance into tiered candidates for expert curation and functional validation.

Mutation, Missense↗

Benchmark measurements for lung dose corrections for X-ray beams.

A well defined set of clinically relevant reference measurements for photon dose calculations in the presence of the lung have been provided. These benchmark data were mainly obtained in low-density (rho = 0.31 gcm-3) lunglike material as well as in waterlike plastic for 4 and 15 MV X-ray beams. Some additional measurements were performed with materials having a density of 0.015 gcm-3 and 0.18 gcm-3. Phantom geometries included simple layered geometries, finite lung cross section geometries, simulated mediastinum geometries, and simulated tumor in lung geometries. The data are reported as central axis depth doses. A number of parameters were varied, including the field size, the lung geometry, and the distance in and behind the lung.

Humans↗

Pararenal aortic aneurysms: the future of open aortic aneurysm repair.

PURPOSE: As endovascular stent graft repair of infrarenal abdominal aortic aneurysms (AAAs) becomes more common, an increasing proportion of patients who undergo open operation will have juxtarenal aneurysms (JR-AAAs), which necessitate suprarenal crossclamping, suprarenal aneurysms (SR-AAAs), which necessitate renal artery reconstruction, or aneurysms with associated renal artery occlusive disease (RAOD), which necessitate repair. To determine the current results of the standard operative treatment of these patterns of pararenal aortic aneurysms, we reviewed the outcome of 257 consecutive patients who underwent operation for JR-AAAs (n = 122), SR-AAAs (n = 58), or RAOD (n = 77). METHODS: The patients with SR-AAAs and RAOD were younger (67.5 +/- 8.8 years) than were the patients with JR-AAAs (70.5 +/- 8.3 years), and more patients with RAOD were women (43% vs 21% for JR-AAAs and SR-AAAs). The patient groups were similar in the frequency of coronary artery and pulmonary disease and in most risk factors for atherosclerosis, except hypertension, which was more common in the RAOD group. Significantly more patients with RAOD had reduced renal function before surgery (51% vs 23%). Supravisceral aortic crossclamping (above the superior mesenteric artery or the celiac artery) was needed more often in patients with SR-AAAs (52% vs 39% for RAOD and 17% for JR-AAAs). Seventeen patients (7%) had undergone a prior aortic reconstruction. The most common renal reconstruction for SR-AAA was reimplantation (n = 37; 64%) or bypass grafting (n = 12; 21%) and for RAOD was transaortic renal endarterectomy (n = 71; 92%). Mean AAA diameter was 6.7 +/- 2.1 cm and was larger in the JR-AAA (7.1 +/- 2.1 cm) and SR-AAA (6.9 +/- 2.1 cm) groups as compared with the RAOD group (5.9 +/- 1.7 cm). RESULTS: The overall mortality rate was 5.8% (n = 15) and was the same for all the groups. The mortality rate correlated (P <.05) with hematologic complications (bleeding) and postoperative visceral ischemia or infarction but not with aneurysm group or cardiac, pulmonary, or renal complications. Renal ischemia duration averaged 31.6 +/- 21.6 minutes and was longer in the SR-AAA group (43.6 +/- 38.9 minutes). Some postoperative renal function loss occurred in 104 patients (40.5%), of whom 18 (7.0%) required dialysis. At discharge or death, 24 patients (9.3%) still had no improvement in renal function and 11 of those patients (4.3%) remained on dialysis. Postoperative loss of renal function correlated (P <.05) with preoperative abnormal renal function and duration of renal ischemia but not with aneurysm type, crossclamp level, or type of renal reconstruction. CONCLUSION: These results showed that pararenal AAA repair can be performed safely and effectively. The outcomes for all three aneurysm types were similar, but there was an increased risk of loss of renal function when preoperative renal function was abnormal. These data provide a benchmark for expected treatment outcomes in patients with these patterns of pararenal aortic aneurysmal disease that currently can only be managed with open repair.

Aged↗

Sterilisation at caesarean section--an audit from a district general hospital.

Rochdale Infirmary serves a population of 210804, and the obstetric unit delivers approximately 1500 babies every year. There were 655 female sterilisation procedures performed here during 1997 - 2001, of which 134 were those performed at the time of caesarean section (20.5%). An audit of women undergoing sterilisation at caesarean section was undertaken in our unit over a 1-year period in 2001. The auditable standards used for benchmarking were the guidelines published by the Royal College of Obstetricians and Gynaecologists' (RCOG) Clinical Audit and Effectiveness Support Unit on female sterilisation, although other literature has been drawn in for the discussion. The results of the audit highlighted the gaps between rhetoric and reality in many of the standards, and offered a practical solution through recommendations based on the audit process.

Cesarean Section↗

Development and Validation of Machine Learning Models for Predicting Early Cognitive Decline Using Home Sensor-Derived Behavioral Data: Sensors in-Home for Elder Wellbeing (SINEW) Cohort Study.

BACKGROUND: As the global population continues to age, the prevalence of geriatric conditions, including dementia and frailty, is also increasing. Early identification of individuals at an elevated risk of these conditions, such as those presenting with mild cognitive impairment (MCI) or prefrailty, can provide a critical window for prompt intervention aimed at preventing or reversing disease progression. To promote such early identification, there is a burgeoning interest in the use of digital sensor technology and predictive modeling. OBJECTIVE: This study aimed to use a continuous, home-based monitoring sensor system for older adults to distinguish those exhibiting normal aging from those with MCI, early dementia, prefrailty, or frailty, and to predict their transition from normal aging to one of these conditions. METHODS: This longitudinal cohort study will recruit 200 community-dwelling adults aged &#x2265;65 years with normal cognition or MCI at baseline. A multi-sensor system will be installed in participants' homes, including passive infrared motion sensors, door contact sensors, bed sensors, medication box sensors, wearable activity bands, and Bluetooth proximity beacons. These devices will continuously capture spatiotemporal activity patterns, mobility indicators, sleep behaviors, and medication-taking routines. Annual assessments will include standardized cognitive tests (eg, Montreal Cognitive Assessment, Mini-Mental State Examination, Rey Auditory-Verbal Learning Test, digit span, Color Trails Test, semantic fluency, Stroop), frailty measures (modified Fried phenotype, gait speed, grip strength), mental health scales, sleep quality, and psychosocial indicators. Sensor-derived features-such as gait variability, activity regularity, sleep fragmentation, and medication adherence patterns-will be integrated with clinical data to develop supervised machine learning models. Planned approaches include logistic regression, random forests, gradient boosting, and deep learning. Model performance will be evaluated using cross-validation and independent test sets. Primary metrics will include area under the receiver operating characteristic curve, sensitivity, specificity, precision, recall, and F1-score. Models will be benchmarked against gold-standard clinical diagnoses and validated using temporal subsets of the dataset. RESULTS: Enrollment for this study started in November 2019 and will continue until March 2030. As of June 2025, we have enrolled 138 participants. Full data analysis has yet to begin. CONCLUSIONS: We aim to develop a reliable and effective sensor system for in-home use that will facilitate the early detection of cognitive and physical decline. In so doing, it will add to our current understanding of digital biomarkers. It is common for older adults to seek clinical intervention only when their cognitive impairment has already reached an advanced stage. The implementation of readily deployable sensor systems within community settings presents us with opportunities for prompt intervention, which holds the potential for delaying or reversing disease progression and allowing for a greater number of functional and meaningful years.

Humans↗

Safeguarding biomedical AI: a critical scoping review of privacy-enhancing technologies, hybrid approaches, and deployment models.

BACKGROUND: Biomedical artificial intelligence (AI) requires the integration of privacy-enhancing technologies (PETs) to safeguard sensitive clinical, imaging, and genomic data while preserving analytical utility. OBJECTIVES: This review critically and systematically maps applications of PETs across the biomedical AI lifecycle in accordance with PRISMA-ScR guidelines and evaluates their technical trade-offs, deployment feasibility, and residual risks. METHODS: We systematically searched PubMed, IEEE Xplore, ACM Digital Library, and Scopus for studies published between 2015 and 2025. Eligible studies addressed differential privacy, federated learning, secure multiparty computation, homomorphic encryption, or hybrid approaches in biomedical AI. Data were charted on PET type, modality, lifecycle stage, utility metrics, privacy parameters, and deployment considerations. A critical appraisal rubric assessed threat-model adequacy, methodological clarity, reproducibility, privacy-utility transparency, and deployment realism. Additionally, we hand-searched major venues (USENIX Security, NeurIPS, AAAI) and screened Google Scholar for grey literature, applying de-duplication across sources. RESULTS: We identified 87 studies spanning clinical decision support, genomics, and medical imaging. From 25,761 initial records, 3,754 underwent title/abstract screening and 1,968 underwent full-text assessment. PETs demonstrated distinct strengths and limitations: differential privacy provided provable guarantees but reduced performance on imbalanced data; federated learning improved data access but remained vulnerable to gradient leakage; and cryptographic methods ensured confidentiality at high computational cost. Synthetic data generation supported privacy-conscious data sharing and benchmarking but remained sensitive to disclosure risk, fidelity loss, and subgroup representation. Hybrid and emerging approaches, including trusted execution environments, zero-knowledge proofs, and privacy-preserving transformer architectures, mitigated composability gaps yet lacked full end-to-end assurance. Case studies at hospital and biobank scale illustrated practical feasibility and infrastructure demands. CONCLUSIONS: Situating PETs within technical and operational contexts clarifies their capabilities, limitations, and deployment challenges. Residual risks persist, including fairness concerns, inference-time leakage, and overreliance on PETs as compliance proxies. Sustained technical innovation and institutional governance remain essential for the trustworthy integration of PETs in biomedical AI.

biomedical AI↗

Determinants of complete remission induction and maintenance in chemotherapy with or without irradiation of small cell lung cancer.

The possible influence of pretreatment patient characteristics upon the probabilities of complete remission (CR) induction and maintenance was investigated in a series of 815 nonresected patients with small cell lung cancer. All patients underwent pretreatment staging which enabled allocation of 391 patients to trials for limited stage disease and 424 patients to trials for extensive disease. Three controlled trials for each disease stage were conducted between 1973 and 1981. All therapeutic regimens consisted of combinations of between three and six agents (lomustine, cyclophosphamide, methotrexate, vincristine, doxorubicin, etoposide) with or without irradiation. Thirty-five % of the limited stage patients and 18% of the extensive stage patients were alive and had achieved a complete remission 16 weeks after initiation of the treatment, i.e., after four cycles of chemotherapy. Relationships between pretreatment characteristics and the probability to pass this benchmark were examined by logistic regression analysis. The probability of CR was negatively related to increased serum lactate dehydrogenase and male sex in both disease stages. Pretreatment anemia (less than 12 g/liter) and poor performance status were associated with a reduced CR rate in limited and extensive stage disease, respectively. Factors related to the maintenance of complete remission were subsequently examined in the 211 complete responders by use of Cox's regression analysis. Complete responders with extensive disease prior to treatment had greater cumulative risk of relapse than those with limited disease (P less than 0.01). Hyponatremia had a significant negative influence on the remission duration in limited disease while age greater than 60 years and bone marrow metastases had significantly negative influence in extensive disease. Using the models it was possible to identify subgroups of patients with CR rates ranging from 5 to 55% and to stratify complete responders according to estimated risks of subsequent relapse.

Adult↗

[Benchmark of a high-frequency jet ventilator, the Mistral].

OBJECTIVE: To test a high-frequency jet ventilator, the Mistral (Acutronic Laboratory) on a lung model. METHODS: The jet ventilator Mistral was tested with two connectors (7 and 20 ml) and four catheters. Pressure and flow measurements were performed by varying the driving pressure (1 to 3 bars), the I/T ratio (0.25, 0.35, 0.45) and the frequency (1 to 5 Hz). Recorded data were: the volume delivered by the ventilator, the pressure measured in the connecting line between the ventilator and the injector and the difference between the end expiratory pressure measured by the ventilator through the injector and the tracheal pressure. RESULTS: An increase in driving pressure induced a proportional increase in minute volume whatever the injection catheter used. After insufflation, when a Seldicath catheter was used, the pressure decrease was the slowest and the time constant the longest. Increase in frequency or I/T ratio, particularly beyond 0.35, was associated with an increase of the end expiratory pressure measured by the respirator. The gradient of pressure measured by the respirator and by an external sensor was lower with the 7 ml connector whatever the catheter used, and was larger with the Seldicath catheter. CONCLUSION: The use of a low volume connector should be preferred, because it allows the measurement of the end expiratory pressure for a larger range of driving pressure, expiratory time and catheters. The performances of the Seldicath catheter are below those of the other catheters studied.

High-Frequency Jet Ventilation↗

Benchmarking urinary cell transcriptomes for noninvasive differentiation of BK polyomavirus-associated nephropathy from T cell-mediated rejection.

BK polyomavirus-associated nephropathy (BKVN) adversely impacts kidney allograft survival and often mimics acute T cell-mediated rejection (TCMR), confounding diagnosis and management. To address this conundrum, we performed unbiased RNA sequencing of urinary cells matched to biopsies classified as BKVN with intragraft inflammation (BKVN-P), BKVN without inflammation (BKVN-N), TCMR, or no rejection (NR). BKVN-N displayed dominant host DNA replication, cell cycle, and repair programs, while BKVN-P samples exhibited expansive innate immune activation, antigen presentation, chemokine upregulation, and epithelial injury. Both BKVN subtypes shared signatures of T cell exhaustion and mature and tolerogenic dendritic cell activation but differed in immune orientation - Th1 predominance in BKVN-N versus Treg and CD8 enrichment in BKVN-P. Compared with TCMR samples, BKVN-P lacked robust TCR/CD28 signaling and was enriched for viral and innate modules; BKVN-N lacked alloimmune activation. B cell exhaustion characterized BKVN-N, while BKVN-P displayed robust B cell activation with metabolic downregulation. A ratiometric urinary cell biomarker, CXCL10 mRNA/CD3E mRNA, distinguished both BKVN subtypes from TCMR with diagnostic accuracy, replicated by quantitative reverse transcription PCR for clinical translation, and confirmed in an independent cohort. These findings demonstrate the utility of urinary cell transcriptomics for resolving viral injury from alloimmunity, enabling precision diagnostics and targeted immunomodulation in kidney transplantation.

Humans↗

Profiling nursing homes using Bayesian hierarchical modeling.

OBJECTIVES: New methods developed to improve the statistical basis of provider profiling may be particularly applicable to nursing homes. We examine the use of Bayesian hierarchical modeling in profiling nursing homes on their rate of pressure ulcer development. DESIGN: Observational study using Minimum Data Set data from 1997 and 1998. SETTING: A for-profit nursing home chain. PARTICIPANTS: Residents of 108 nursing homes who were without a pressure ulcer on an index assessment. MEASUREMENTS: Nursing homes were compared on their performance on risk-adjusted rates of pressure ulcer development calculated using standard statistical techniques and Bayesian hierarchical modeling. RESULTS: Bayesian estimates of nursing home performance differed considerably from rates calculated using standard statistical techniques. The range of risk-adjusted rates among nursing homes was 0% to 14.3% using standard methods and 1.0% to 4.8% using Bayesian analysis. Fifteen nursing homes were designated as outliers based on their z scores, and two were outliers using Bayesian modeling. Only one nursing home had greater than a 50% probability of having a true rate of ulcer development exceeding 4%. CONCLUSIONS: Bayesian hierarchical modeling can be successfully applied to the problem of profiling nursing homes. Results obtained from Bayesian modeling are different from those obtained using standard statistical techniques. The continued evaluation and application of this new methodology in nursing homes may ensure that consumers and providers have the most accurate information regarding performance.

Bayes Theorem↗