Person-centred Information for Discharge Home

Knowledge leakage is a key risk for start-ups particularly when that knowledge relates to the firm’s innovation and is therefore competitively sensitive. Leakage of competitively sensitive knowledge can lead to financial losses and erosion of competitive advantage. Start-ups are particularly vulnerable to knowledge leakage compared to mature enterprises since they have limited resources to devote to protective measures, rely on relatively fewer product/innovation lines to sustain business success, and experience greater organizational change making it difficult to control the complex and evolving security risk landscape. Current research on (knowledge) leakage mitigation methods don’t adequately address the needs of start-ups. This paper sets out to address the gaps in current research relating to leakage mitigation particularly focusing on IP protection in start-ups. We propose a new knowledge-leakage mitigation framework, the Risk Window, as a precursor to a process model designed to assist start-ups to secure their competitively sensitive knowledge

MEDICAL RECORD SUPPORT FOR EFFECTIVE DISCHARGE PLANNING

Little is known about the Information Technology artefacts which help inform decision-making to sup-port people returning home following a hospital stay. Content, delivery, timing and information about personal circumstances form integral components of person-centred discharge planning. From an Information Systems (IS) perspective, understanding barriers to information flow, artefacts in use and the context in which they are presented to health care professionals is the first step to explore how currently used IS support or fail to support the discharge process. This research-in-progress uses Roy’s Adaption Model and Adaptive Structuration Theory to explore to what extent patient infor-mation documented in the medical record supports and enables person-centred discharge planning. We aim specifically to understand how the medical record shapes discharge planning through clini-cian-to-clinician and clinician-to-patient information sharing to support a patient’s recovery journey when home. Findings suggest that the medical record is insufficient to support and enable person-centred discharge planning. We suggest how these limitations can be overcome to improve person-centred discharge planning to assist and facilitate patients’ transition home

Finishing the euchromatic sequence of the human genome

The sequence of the human genome encodes the genetic instructions for human physiology, as well as rich information about human evolution. In 2001, the International Human Genome Sequencing Consortium reported a draft sequence of the euchromatic portion of the human genome. Since then, the international collaboration has worked to convert this draft into a genome sequence with high accuracy and nearly complete coverage. Here, we report the result of this finishing process. The current genome sequence (Build 35) contains 2.85 billion nucleotides interrupted by only 341 gaps. It covers ∼99% of the euchromatic genome and is accurate to an error rate of ∼1 event per 100,000 bases. Many of the remaining euchromatic gaps are associated with segmental duplications and will require focused work with new methods. The near-complete sequence, the first for a vertebrate, greatly improves the precision of biological analyses of the human genome including studies of gene number, birth and death. Notably, the human enome seems to encode only 20,000-25,000 protein-coding genes. The genome sequence reported here should serve as a firm foundation for biomedical research in the decades ahead

Investigating the efficacy of an intelligent operation planning and support tool for acute healthcare contexts

Nurses are the largest group of healthcare professionals in hospitals providing 24-hour care to patients. Hence, nurses are pivotal in coordinating and communicating patient care information in the complex network of healthcare professionals, services and other care processes. Yet, despite nurses\u27 central role in health care delivery, intelligent systems have historically rarely been designed around nurses\u27 operational needs. This could explain the poor integration of technologies into nursing work processes and consequent rejection by nursing professionals. The complex nature of acute care delivery in hospitals and the frequently interrupted patterns of nursing work suggest that nurses require flexible intelligent systems that can support and adapt to their variable workflow patterns. This study is designed to explore nurses\u27 initial reactions to a new intelligent operational planning and support tool (IOPST) for acute healthcare. The following reports on the first stage of a longitudinal project to use an innovative approach involving nurses in the development of the IOPST; from conceptualization to implementation

Pelvic floor imaging in asymptomatic subjects

Aim: The aim of this work was to determine the range of normal imaging features during total pelvic floor ultrasound (TPFUS) (transperineal, transvaginal, endovaginal and endoanal) and defaecation MRI (dMRI). // Method: Twenty asymptomatic female volunteers (mean age 36.5 years) were prospectively investigated with dMRI and TPFUS. Subjects were screened with symptom questionnaires (ICIQ-B, St Mark's faecal incontinence score, obstructed defaecation syndrome score, ICIQ-V, BSAQ). dMRI and TPFUS were performed and interpreted by blinded clinicians according to previously published methods. // Results: The subjects comprised six parous and 14 nulliparous women, of whom three were postmenopausal. There were three with a rectocoele on both modalities and one with a rectocoele on dMRI only. There was one with intussusception on TPFUS. Two had an enterocoele on both modalities and one on TPFUS only. There were six with a cystocoele on both modalities, one on dMRI only and one on TPFUS only. On dMRI, there were 12 with functional features. Four also displayed functional features on TPFUS. Two displayed functional features on TPFUS only. // Conclusion: This study demonstrates the presence of abnormal findings on dMRI and TPFUS without symptoms. There was a high rate of functional features on dMRI. This series is not large enough to redefine normal parameters but is helpful for appreciating the wide range of findings seen in health

A Study of Gene Expression, Structure, and Contractility of iPSC-Derived Cardiac Myocytes from a Family with Heart Disease due to LMNA Mutation.

Genetic mutations to the Lamin A/C gene (LMNA) can cause heart disease, but the mechanisms making cardiac tissues uniquely vulnerable to the mutations remain largely unknown. Further, patients with LMNA mutations have highly variable presentation of heart disease progression and type. In vitro patient-specific experiments could provide a powerful platform for studying this phenomenon, but the use of induced pluripotent stem cell-derived cardiomyocytes (iPSC-CM) introduces heterogeneity in maturity and function thus complicating the interpretation of the results of any single experiment. We hypothesized that integrating single cell RNA sequencing (scRNA-seq) with analysis of the tissue architecture and contractile function would elucidate some of the probable mechanisms. To test this, we investigated five iPSC-CM lines, three controls and two patients with a (c.357-2A>G) mutation. The patient iPSC-CM tissues had significantly weaker stress generation potential than control iPSC-CM tissues demonstrating the viability of our in vitro approach. Through scRNA-seq, differentially expressed genes between control and patient lines were identified. Some of these genes, linked to quantitative structural and functional changes, were cardiac specific, explaining the targeted nature of the disease progression seen in patients. The results of this work demonstrate the utility of combining in vitro tools in exploring heart disease mechanics

Multivariable prognostic modelling to improve prediction of colorectal cancer recurrence:the PROSPeCT trial

OBJECTIVE: Improving prognostication to direct personalised therapy remains an unmet need. This study prospectively investigated promising CT, genetic, and immunohistochemical markers to improve the prediction of colorectal cancer recurrence.MATERIAL AND METHODS: This multicentre trial (ISRCTN 95037515) recruited patients with primary colorectal cancer undergoing CT staging from 13 hospitals. Follow-up identified cancer recurrence and death. A baseline model for cancer recurrence at 3 years was developed from pre-specified clinicopathological variables (age, sex, tumour-node stage, tumour size, location, extramural venous invasion, and treatment). Then, CT perfusion (blood flow, blood volume, transit time and permeability), genetic (RAS, RAF, and DNA mismatch repair), and immunohistochemical markers of angiogenesis and hypoxia (CD105, vascular endothelial growth factor, glucose transporter protein, and hypoxia-inducible factor) were added to assess whether prediction improved over tumour-node staging alone as the main outcome measure.RESULTS: Three hundred twenty-six of 448 participants formed the final cohort (226 male; mean 66 ± 10 years. 227 (70%) had ≥ T3 stage cancers; 151 (46%) were node-positive; 81 (25%) developed subsequent recurrence. The sensitivity and specificity of staging alone for recurrence were 0.56 [95% CI: 0.44, 0.67] and 0.58 [0.51, 0.64], respectively. The baseline clinicopathologic model improved specificity (0.74 [0.68, 0.79], with equivalent sensitivity of 0.57 [0.45, 0.68] for high vs medium/low-risk participants. The addition of prespecified CT perfusion, genetic, and immunohistochemical markers did not improve prediction over and above the clinicopathologic model (sensitivity, 0.58-0.68; specificity, 0.75-0.76).CONCLUSION: A multivariable clinicopathological model outperformed staging in identifying patients at high risk of recurrence. Promising CT, genetic, and immunohistochemical markers investigated did not further improve prognostication in rigorous prospective evaluation.CLINICAL RELEVANCE STATEMENT: A prognostic model based on clinicopathological variables including age, sex, tumour-node stage, size, location, and extramural venous invasion better identifies colorectal cancer patients at high risk of recurrence for neoadjuvant/adjuvant therapy than stage alone.KEY POINTS: Identification of colorectal cancer patients at high risk of recurrence is an unmet need for treatment personalisation. This model for recurrence, incorporating many patient variables, had higher specificity than staging alone. Continued optimisation of risk stratification schema will help individualise treatment plans and follow-up schedules.</p