Relevant bibliographies by topics / Personalised healthcare

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'Personalised healthcare'

Author: Grafiati
Published: 9 March 2023
Last updated: 10 March 2023

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Journal articles on the topic "Personalised healthcare"

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Gray, Muir, Jonathon Gray, and Jeremy Howick. "Personalised healthcare and population healthcare." Journal of the Royal Society of Medicine 111, no. 2 (September 18, 2017): 51–56. http://dx.doi.org/10.1177/0141076817732523.

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Sahal, Radhya, Saeed H. Alsamhi, and Kenneth N. Brown. "Personal Digital Twin: A Close Look into the Present and a Step towards the Future of Personalised Healthcare Industry." Sensors 22, no. 15 (August 8, 2022): 5918. http://dx.doi.org/10.3390/s22155918.

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Digital twins (DTs) play a vital role in revolutionising the healthcare industry, leading to more personalised, intelligent, and proactive healthcare. With the evolution of personalised healthcare, there is a significant need to represent a virtual replica for individuals to provide the right type of care in the right way and at the right time. Therefore, in this paper, we surveyed the concept of a personal digital twin (PDT) as an enhanced version of the DT with actionable insight capabilities. In particular, PDT can bring value to patients by enabling more accurate decision making and proper treatment selection and optimisation. Then, we explored the progression of PDT as a revolutionary technology in healthcare research and industry. However, although several research works have been performed for smart healthcare using DT, PDT is still at an early stage. Consequently, we believe that this work can be a step towards smart personalised healthcare industry by guiding the design of industrial personalised healthcare systems. Accordingly, we introduced a reference framework that empowers smart personalised healthcare using PDTs by bringing together existing advanced technologies (i.e., DT, blockchain, and AI). Then, we described some selected use cases, including the mitigation of COVID-19 contagion, COVID-19 survivor follow-up care, personalised COVID-19 medicine, personalised osteoporosis prevention, personalised cancer survivor follow-up care, and personalised nutrition. Finally, we identified further challenges to pave the PDT paradigm toward the smart personalised healthcare industry.
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Borro, Marina, Giovanna Gentile, Luigi Cipolloni, Zeno Foldes-Papp, Paola Frati, Alessandro Santurro, Luana Lionetto, and Maurizio Simmaco. "Personalised Healthcare: The DiMA Clinical Model." Current Pharmaceutical Biotechnology 18, no. 3 (April 16, 2017): 242–52. http://dx.doi.org/10.2174/1389201018666170208125131.

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Horgan, Denis. "Keeping the Person in Personalised Healthcare." Biomedicine Hub 2, Suppl. 1 (November 21, 2017): 1–9. http://dx.doi.org/10.1159/000481683.

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Proponents of personalised medicine believe that the involvement of the patients, including in “risk-sharing agreements,” will result in cost savings, the use of the genetic makeup of an individual patient as the starting point will save resources and, indirectly, there will be great potential for startups and new business in many areas. But how can Europe ensure that the “person” is central stage and allow us to focus on the development of personalised medicine for his or her ultimate benefit? The EU has a clear role to play, argues the author. One way for this to happen is for the EU to focus investment in guidelines for governance. This will go a long way to ensuring that the citizen is the principal factor when it comes to utilising the new wealth of innovation in health. The citizen must always come first when innovation is harnessed.
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Gray, Muir, Harpreet Sood, Mahiben Maruthappu, and Fiona Moss. "Training for population and personalised healthcare." Journal of the Royal Society of Medicine 110, no. 12 (November 24, 2017): 476–82. http://dx.doi.org/10.1177/0141076817741245.

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Nicholson, J. "Systems medicine, microbiomes and personalised healthcare." Toxicology Letters 238, no. 2 (October 2015): S12. http://dx.doi.org/10.1016/j.toxlet.2015.08.074.

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Posfay-Barbe, Klara M., Julia Bielicki, and Pascale Wenger. "Considerations on General Consent in paediatrics." Regulatory Affairs Watch 2, no. 3 (March 2020): 15–18. http://dx.doi.org/10.54920/scto.2020.rawatch.3.15.

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The general goal of the initiative launched by the Swiss Personalized Health Network (SPHN) is to establish the infrastructure needed to collect and provide data and samples from Swiss residents, to ultimately support personalised approaches to healthcare.
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Nardini, Christine, Venet Osmani, Paola G. Cormio, Andrea Frosini, Mauro Turrini, Christos Lionis, Thomas Neumuth, Wolfgang Ballensiefen, Elio Borgonovi, and Gianni D’Errico. "The evolution of personalized healthcare and the pivotal role of European regions in its implementation." Personalized Medicine 18, no. 3 (May 2021): 283–94. http://dx.doi.org/10.2217/pme-2020-0115.

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Personalized medicine (PM) moves at the same pace of data and technology and calls for important changes in healthcare. New players are participating, providing impulse to PM. We review the conceptual foundations for PM and personalized healthcare and their evolution through scientific publications where a clear definition and the features of the different formulations are identifiable. We then examined PM policy documents of the International Consortium for Personalised Medicine and related initiatives to understand how PM stakeholders have been changing. Regional authorities and stakeholders have joined the race to deliver personalized care and are driving toward what could be termed as the next personalized healthcare. Their role as a key stakeholder in PM is expected to be pivotal.
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Coyle, Shirley, King-Tong Lau, Niall Moyna, Donal O'Gorman, Dermot Diamond, Fabio Di Francesco, Daniele Costanzo, et al. "BIOTEX—Biosensing Textiles for Personalised Healthcare Management." IEEE Transactions on Information Technology in Biomedicine 14, no. 2 (March 2010): 364–70. http://dx.doi.org/10.1109/titb.2009.2038484.

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Bauer, Denis C., Clara Gaff, Marcel E. Dinger, Melody Caramins, Fabian A. Buske, Michael Fenech, David Hansen, and Lynne Cobiac. "Genomics and personalised whole-of-life healthcare." Trends in Molecular Medicine 20, no. 9 (September 2014): 479–86. http://dx.doi.org/10.1016/j.molmed.2014.04.001.

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Dissertations / Theses on the topic "Personalised healthcare"

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Ferreira, Gonzalez Javier. "Textile-enabled Bioimpedance Instrumentation for Personalised Health Monitoring Applications." Licentiate thesis, KTH, Medicinska sensorer, signaler och system (MSSS), 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-120373.

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A growing number of factors, including the costs, technological advancements, an ageing population, and medical errors are leading industrialised countries to invest in research on alternative solutions to improving their health care systems and increasing patients’ life quality. Personal Health System (PHS) solutions envision the use of information and communication technologies that enable a paradigm shift from the traditional hospital-centred healthcare delivery model toward a preventive and person-centred approach. PHS offers the means to follow patient health using wearable, portable or implantable systems that offer ubiquitous, unobtrusive bio-data acquisition, allowing remote access to patient status and treatment monitoring. Electrical Bioimpedance (EBI) technology is a non-invasive, quick and relatively affordable technique that can be used for assessing and monitoring different health conditions, e.g., body composition assessments for nutrition. EBI technology combined with state-of-the-art advances in sensor and textile technology are fostering the implementation of wearable bioimpedance monitors that use functional garments for the implementation of personalised healthcare applications. This research studies the development of a portable EBI spectrometer that can use dry textile electrodes for the assessment of body composition for the purposes of clinical uses. The portable bioimpedance monitor has been developed using the latest advances in system-on-chip technology for bioimpedance spectroscopy instrumentation. The obtained portable spectrometer has been validated against commercial spectrometer that performs total body composition assessment using functional textrode garments. The development of a portable Bioimpedance spectrometer using functional garments and dry textile electrodes for body composition assessment has been shown to be a feasible option. The availability of such measurement systems bring closer the real implementation of personalised healthcare systems.

QC 20130405

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Allenby, Mark Colin, Athanasios Mantalaris, and Nicki Panoskaltsis. "Development of a bio-inspired in silico-in vitro platform: Towards personalised healthcare through optimisation of a bone-marrow mimicry bioreactor." Thesis, Imperial College London, 2017. https://eprints.qut.edu.au/199969/1/Allenby_MC_2017_PhD_Thesis.pdf.

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Human red blood cell production, or erythropoiesis, occurs within bone marrow. Living animal and human cadaver models have demonstrated the marrow production of red blood cells is a spatially-complex process, where cells replicate, mature, and migrate between distinct niches defined by biochemical nutrient access, supportive neighboring cells, and environmental structure. Unfortunately, current research in understanding normal and abnormal human production of blood takes place in petri dishes and t-flasks as 2D liquid suspension cultures, neglecting the role of the marrow environment for blood production. The culture of blood on marrow-mimetic 3D biomaterials has been used as a laboratory model of physiological blood production, but lacks characterization. In this work, a 3D biomaterial platform is developed and to capture the in vivo blood production process and manufacture red blood cells from human umbilical cord blood. First ceramic hollow fibres were designed and tested to be incorporated and perfused in a 3D porous scaffold bioreactor to mimic marrow structure, provide a better expansion of cell numbers, a better diffusion of nutrients, and allow for the continuous, non-invasive harvest of small cells in comparison to static, unperfused biomaterials. Quantitative 3D image analysis tools were developed to spatially assess bioreactor distributions and associations of and between different cell types. Using these tools, the bioreactor distribution of red blood cell production were characterized within niches in collaboration with supportive, non-blood cell types and designed miniaturised, parallelised mini-bioreactors to further explore bioreactor capabilities. This thesis presents a hollow fibre bioreactor able to produce blood cells alongside supportive cells at 1,000-fold higher cell densities with 10-fold fewer supplemented factor than flask cultures, without serum, with one cell source, and continuously harvest enucleate red blood cell product to provide a physiologically-relevant model for cell expansion protocols.
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Adamu, Zulfikar A. "The feasibility of natural ventilation in healthcare buildings." Thesis, Loughborough University, 2013. https://dspace.lboro.ac.uk/2134/12600.

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Wards occupy significant proportions of hospital floor areas and due to their constant use, represent a worthwhile focus of study. Single-bed wards are specifically of interest owing to the isolation aspect they bring to infection control, including airborne pathogens, but threats posed by airborne pandemics and family-involvement in hospital care means cross-infection is still a potential problem. In its natural mode, ventilation driven by combined wind and buoyancy forces can lead to energy savings and achieve thermal comfort and high air change rates through secure openings. These are advantageous for controlling indoor airborne pathogens and external air and noise pollution. However, there is lack of detailed evidence and guidance is needed to gain optimum performance from available natural ventilation systems. This research is a proof of concept investigation into the feasibility and impact of natural ventilation systems targeting airflow rates, thermal comfort, heating energy and control of pathogenic bio-aerosols in hospital wards. In particular, it provides insights into the optimal areas of vent openings which could satisfy the complex three-pronged criteria of contaminant dilution, low heating energy and acceptable thermal comfort for occupants in a naturally ventilated single bed ward. The main aim of this thesis is the structured study of four systems categorised into three groups: Simple Natural Ventilation (SNV) in which single and dual-openings are used on the same external wall; Advanced Natural Ventilation (ANV) which is an emerging concept; and finally Natural Personalised Ventilation (NPV) which is an entirely new concept borne out of the limitations of previous systems and gaps in literature. The focus of this research is in the exploratory study of the weaknesses and potentials of the four systems, based on multi-criteria performances metrics within three architecturally distinct single-bed ward designs. In contributing to the body of existing knowledge, this thesis provides a better understanding of the performances of three existing systems while presenting the new NPV system. The analysis is based on dynamic thermal modelling and computational fluid dynamics and in the case of the NPV system, salt-bath experiments for validation and visualisation of transient flows. In all cases, wards were assumed to be free of mechanical ventilation systems that might influence the natural flow of air. The thesis meets three major objectives which have resulted in the following contributions to current knowledge: An understanding of the limitations and potentials of same-side openings, especially why and how dual-openings can be useful when retrofitted into existing wards. Detailed analysis of bulk airflow, thermal comfort, heating energy and room air distribution achievable from existing SNV and ANV systems, including insights to acceptable trickle ventilation rates, which will be particular useful in meeting minimum dilution and energy requirements in winter. This also includes qualitative predictions of the airflow pattern and direction obtainable from both systems. The innovation and study of a new natural ventilation system called Natural Personalised Ventilation (NPV) which provides fresh air directly over a patient s bed, creating a mixing regime in the space and evaluation of its comfort and energy performances. A low-energy solution for airborne infection control in clinical spaces is demonstrated by achieving buoyancy-driven mixing ventilation via the NPV system, and a derivative called ceiling-based natural ventilation (CBNV) is shown. A comparative analysis of four unique natural ventilation strategies including their performance rankings for airflow rates, thermal comfort, energy consumption and contaminant dilution or removal using an existing single-bed ward design as case study. Development of design and operational recommendations for future guidelines on utilising natural ventilation in single-bed wards either for refurbishment or for proposed designs. These contributions can be extended to other clinical and non-clinical spaces which are suitable to be naturally ventilated including treatment rooms, office spaces and waiting areas. The findings signify that natural ventilation is not only feasible for ward spaces but that there is opportunity for innovation in its application through further research. Future work could focus on related aspects like: impacts of fan-assisted ventilation for a hybrid flow regime; pre-heating of supply air; integration with passive heat recovery systems as well the use of full-scale experiments to fine-tune and validate findings.
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Eccles, Abigail. "An exploration of the information and decision support needs of people with Multiple Sclerosis." Thesis, University of Oxford, 2017. https://ora.ox.ac.uk/objects/uuid:ffcb33fe-5d5c-4e85-b88d-a05ef0f5dd39.

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Recent decades have seen increasing recognition of the importance of patient involvement during patient-professional interactions and promotion of preventative and long term approaches to healthcare for those with long-term conditions. The concepts of 'shared decision making' and 'personalised care planning' have both been advocated by patient groups, policy-makers, professional bodies and academia as best practice. During shared decision making, patients and healthcare professionals work in equal partnership to decide the best course of action. Shared decision making is a central tenet of personalised care planning, as it aims to foster partnerships between patients and healthcare professionals when making decisions, but personalised care planning also describes an overall approach to healthcare that is forward-planning and preventative, rather than episodic and reactive. Despite the breadth of support for such approaches, in reality they are not routinely adopted. Multiple Sclerosis (MS) is a heterogeneous neurodegenerative long term condition, which is unpredictable with limited treatments available. Such uncertainty and complexity position MS as an interesting long term condition to explore decisional and information needs. This doctoral research comprises of three methods stages. Firstly, two systematic reviews assessing the effectiveness of personalised care planning for people with long-term conditions and people with MS were carried out. Secondly, 22 in-depth semi-structured qualitative interviews were carried out with people with MS across the UK to explore experiences of decision making and interactions with healthcare professionals. Purposive sampling was carried out and data saturation determined sample size. A modified grounded theory approach was used and thematic analysis of interview data was carried out. Lastly, a series of structured qualitative interviews were carried out with 6 consultant neurologists. This stage was iterative in that problematic areas identified during analysis of interview data from stage 2 were presented to neurologists in infographic form to further examine issues raised. Framework analysis was carried out on neurologist interview data to examine their interpretations and potential solutions. Although there appears to be some evidence demonstrating that personalised care planning is effective for people with long term conditions, such favourable effects were not demonstrated in the context of MS. Based on the findings from the systematic reviews it is unclear whether personalised care planning is effective for people with MS and there is a clear gap in the literature examining this. Findings from the interview stages suggest there are key areas which are lacking in terms of information and decisional support. Such areas included the type and amount of information around the time of diagnosis, support when choosing disease modifying drugs and discussions about approaches outside mainstream medicine. Findings from neurologist interview data corroborated those from MS interview data, but through examination of issues raised it also highlighted some of the complexities and challenges of involving patients and enacting shared decision making in reality. This research identified key areas that require improvement for people with MS in terms of provision of the information and decisional support. Although in theory personalised care planning and shared decision making are positioned as best practice, in reality it is unclear whether they are effective or appropriate for people with MS. The way in which such approaches are enacted are complex and require careful consideration. Potential barriers and pitfalls identified within this study suggest a lack of clarity in how to respond to challenges and further investigation into how patient involvement is enacted is needed.
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Galozy, Alexander. "Data-driven personalized healthcare : Towards personalized interventions via reinforcement learning for Mobile Health." Licentiate thesis, Högskolan i Halmstad, CAISR Centrum för tillämpade intelligenta system (IS-lab), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-44091.

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Medical and technological advancement in the last century has led to the unprecedented increase of the populace's quality of life and lifespan. As a result, an ever-increasing number of people live with chronic health conditions that require long-term treatment, resulting in increased healthcare costs and managerial burden to the healthcare provider. This increase in complexity can lead to ineffective decision-making and reduce care quality for the individual while increasing costs. One promising direction to tackle these issues is the active involvement of the patient in managing their care. Particularly for chronic diseases, where ongoing support is often required, patients must understand their illness and be empowered to manage their care. With the advent of smart devices such as smartphones, it is easier than ever to provide personalised digital interventions to patients, help them manage their treatment in their daily lives, and raise awareness about their illness. If such new approaches are to succeed, scalability is necessary, and solutions are needed that can act autonomously without costly human intervention. Furthermore, solutions should exhibit adaptability to the changing circumstances of an individual patient's health, needs and goals. Through the ongoing digitisation of healthcare, we are presented with the unique opportunity to develop cost-effective and scalable solutions through Artificial Intelligence (AI). This thesis presents work that we conducted as part of the project improving Medication Adherence through Person-Centered Care and Adaptive Interventions (iMedA) that aims to provide personalised adaptive interventions to hypertensive patients, supporting them in managing their medication regiment. The focus lies on inadequate medication adherence (MA), a pervasive issue where patients do not take their medication as instructed by their physician. The selection of individuals for intervention through secondary database analysis on Electronic Health Records (EHRs) was a key challenge and is addressed through in-depth analysis of common adherence measures, development of prediction models for MA and discussions on limitations of such approaches for analysing MA. Furthermore, providing personalised adaptive interventions is framed in the contextual bandit setting and addresses the challenge of delivering relevant interventions in environments where contextual information is significantly corrupted.        The contributions of the thesis can be summarised as follows: (1) Highlighting the issues encountered in measuring MA through secondary database analysis and providing recommendations to address these issues, (2) Investigating machine learning models developed using EHRs for MA prediction and extraction of common refilling patterns through EHRs and (3) formal problem definition for a novel contextual bandit setting with context uncertainty commonly encountered in Mobile Health and development of an algorithm designed for such environments.
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Márquez, Ruiz Juan Carlos. "Sensor-Based Garments that Enable the Use of Bioimpedance Technology : Towards Personalized Healthcare Monitoring." Doctoral thesis, Högskolan i Borås, Institutionen Ingenjörshögskolan, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:hb:diva-3645.

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Functional garments for physiological sensing purposes have been utilized in several disciplinesi.e. sports, firefighting, military and medical. In most of the cases textile electrodes (Textrodes)embedded in the garment are employed to monitor vital signs and other physiologicalmeasurements. Electrical Bioimpedance (EBI) is a non-invasive and effective technology that canbe used for detection and supervision of different health conditions. In some specific applicationssuch as body composition assessment EBIS has shown encouraging results proving good degreeof effectiveness and reliability. In a similar way Impedance Cardiography (ICG) is anothermodality of EBI primarily concerned with the determination of Stroke Volume SV, indices ofcontractility, and other aspects of hemodynamics.EBI technology in the previously mentioned modalities can benefit from a integration with agarment; however, a successful implementation of EBI technology depends on the goodperformance of textile electrodes. The main weakness of Textrodes is a deficient skin-electrodeinterface which produces a high degree of sensitivity to signal disturbances. This sensitivity canbe reduced with a suitable selection of the electrode material and an intelligent and ergonomicgarment design that ensures an effective skin-electrode contact area.This research work studies the performance of textile electrodes and garments for EBIspectroscopy for Total Body Assessment and Transthoracic Electrical Bioimpedance (TEB) forcardio monitoring. Their performance is analyzed based on impedance spectra, estimation ofparameters, influence of electrode polarization impedance Zep and quality of the signals using asreference Ag/AgCl electrodes. The study includes the analysis of some characteristics of thetextile electrodes such as conductive material, skin-electrode contact area size and fabricconstruction.The results obtained in this research work present evidence that textile garments with a dry skinelectrodeinterface like the ones used in research produce reliable EBI measurements in bothmodalities: BIS for Total Body Assessment and TEB for Impedance Cardiography. Textiletechnology, if successfully integrated, may enable the utilization of EBI in both modalities andconsequently implementing wearable applications for home and personal health monitoring.
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Petersen, Katelin E. "Physicians' Perceptions of the Elements, Barriers, and Availability of Personalized Medicine." University of Cincinnati / OhioLINK, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1367942619.

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Cheng, Chih-Wen. "Development of integrated informatics analytics for improved evidence-based, personalized, and predictive health." Diss., Georgia Institute of Technology, 2015. http://hdl.handle.net/1853/54872.

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Advanced information technologies promise a massive influx of individual-specific medical data. These rich sources offer great potential for an increased understanding of disease mechanisms and for providing evidence-based and personalized clinical decision support. However, the size, complexity, and biases of the data pose new challenges, which make it difficult to transform the data to useful and actionable knowledge using conventional statistical analysis. The so-called “Big Data” era has created an emerging and urgent need for scalable, computer-based data mining methods that can turn data into useful, personalized decision support knowledge in a flexible, cost-effective, and productive way. The goal of my Ph.D. research is to address some key challenges in current clinical deci-sion support, including (1) the lack of a flexible, evidence-based, and personalized data mining tool, (2) the need for interactive interfaces and visualization to deliver the decision support knowledge in an accurate and effective way, (3) the ability to generate temporal rules based on patient-centric chronological events, and (4) the need for quantitative and progressive clinical predictions to investigate the causality of targeted clinical outcomes. The problem statement of this dissertation is that the size, complexity, and biases of the current clinical data make it very difficult for current informatics technologies to extract individual-specific knowledge for clinical decision support. This dissertation addresses these challenges with four overall specific aims: Evidence-Based and Personalized Decision Support: To develop clinical decision support systems that can generate evidence-based rules based on personalized clinical conditions. The systems should also show flexibility by using data from different clinical settings. Interactive Knowledge Delivery: To develop an interactive graphical user interface that expedites the delivery of discovered decision support knowledge and to propose a new visualiza-tion technique to improve the accuracy and efficiency of knowledge search. Temporal Knowledge Discovery: To improve conventional rule mining techniques for the discovery of relationships among temporal clinical events and to use case-based reasoning to evaluate the quality of discovered rules. Clinical Casual Analysis: To expand temporal rules with casual and time-after-cause analyses to provide progressive clinical prognostications without prediction time constraints. The research of this dissertation was conducted with frequent collaboration with Children’s Healthcare of Atlanta, Emory Hospital, and Georgia Institute of Technology. It resulted in the development and adoption of concrete application deliverables in different medical settings, including: the neuroARM system in pediatric neuropsychology, the PHARM system in predictive health, and the icuARM, icuARM-II, and icuARM-KM systems in intensive care. The case studies for the evaluation of these systems and the discovered knowledge demonstrate the scope of this research and its potential for future evidence-based and personalized clinical decision support.
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Kembou, Nzale Samuel. "Essays on healthcare providers' incentives and motivations." Thesis, Aix-Marseille, 2019. http://www.theses.fr/2019AIXM0330.

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Nous étudions les propriétés incitatives des contrats des médecins dans différents contextes et en mobilisant différentes méthodes. Au chapitre 1, nous proposons un modèle ``principal-agent’’ dans lequel il existe une sélection adverse sur l’altruisme des agents, une responsabilité limitée et une technologie fournie par le régulateur et pouvant améliorer la qualité de l’effort des médecins. Dans un tel contexte (caractérisant le secteur de la santé avec un accès à la médecine personnalisée par exemple), nous montrons que les contrats optimaux impliquent des salaires plus élevés pour les agents altruistes et une technologie d'amélioration de l’effort de meilleure qualité pour les agents égoïstes. Au chapitre 2, nous proposons une expérience dans laquelle les médecins peuvent accéder gratuitement ou à un coût donné à des techniques de médecine personnalisée. Nous évaluons pour différents systèmes de paiement, la probabilité que les médecins prennent la décision d'un accès payant à la médecine personnalisée, et nous nous concentrons également sur la manière dont ils utilisent ces technologies, selon que leur accès est gratuit ou coûteux. Nous trouvons que les médecins ont tendance à mieux utiliser les techniques de médecine personnalisée lorsqu’ils l’ont acquis à un coût. Au chapitre 3, nous étudions les propriétés incitatives des systèmes de rémunération à la performance. En utilisant la même expérience du chapitre 2, nous trouvons que les systèmes de paiement à la performance renforcent l’attention des médecins sur ce qui est pertinent pour le patient, mais sont associés à une érosion de leur motivation intrinsèque
We study incentive properties of healthcare providers' contracts in different contexts and using a range of methods. In Chapter 1, we propose a ``regulator-agent'' model with adverse selection on altruism, limited liability and a possible effort enhancing input provided by the regulator. In such a context (characterizing the healthcare sector with a free access to personalized medicine, for example), we show that the optimal contracts entail higher salaries for the altruistic agents and higher effort-enhancing technology for selfish agents. In Chapter 2, we propose an experiment in which healthcare providers can access for free or at a given cost, personalized medicine techniques. For different payment systems, we assess the likelihood of making the decision to access personalized medicine when it is paid. We also focus on how healthcare providers use these technologies, depending on whether their access is free or costly. We find that healthcare providers tend to make better use of personalized medicine techniques when they acquire it at a cost. In Chapter 3, we study incentive properties of performance pay systems. Using the same experiment as in Chapter 2, we find that performance-based systems increase healthcare providers' attention on what is relevant to the patient. It however destroys their intrinsic motivation
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Kadariya, Dipesh. "kBot: Knowledge-Enabled Personalized Chatbot for Self-Management of Asthma in Pediatric Population." Wright State University / OhioLINK, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=wright1565944979193573.

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Books on the topic "Personalised healthcare"

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European Commission. Information Society DG. A healthy approach: Technology for personalised, preventative healthcare. Luxembourg: Publications Office of the European Union, 2010.

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Hays, Priya. Advancing Healthcare Through Personalized Medicine. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-80100-7.

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Bodiroga-Vukobrat, Nada, Daniel Rukavina, Krešimir Pavelić, and Gerald G. Sander, eds. Personalized Medicine in Healthcare Systems. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-16465-2.

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Krishna, P. Venkata, Sasikumar Gurumoorthy, and Mohammad S. Obaidat. Internet of Things and Personalized Healthcare Systems. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-0866-6.

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Quality assurance in healthcare service delivery, nursing, and personalized medicine: Technologies and processes. Hershey, PA: Medical Information Science Reference, 2012.

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(2007), Healthgrid 2007. From genes to personalized healthcare: Grid solutions for the life sciences : proceedings of HealthGrid 2007. Amsterdam: IOS Press, 2007.

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(2007), Healthgrid 2007. From genes to personalized healthcare: Grid solutions for the life sciences : proceedings of HealthGrid 2007. Amsterdam: IOS Press, 2007.

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Jain, Vishal, Jyotir Moy Chatterjee, Salahddine Krit, Omer Deperlioglu, and Hadi Hedayati. Deep Learning for Personalised Healthcare Services. de Gruyter GmbH, Walter, 2021.

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Jain, Vishal, Jyotir Moy Chatterjee, Salahddine Krit, Omer Deperlioglu, and Hadi Hedayati. Deep Learning for Personalised Healthcare Services. de Gruyter GmbH, Walter, 2021.

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Jain, Vishal, Jyotir Moy Chatterjee, Salahddine Krit, Omer Deperlioglu, and Hadi Hedayati. Deep Learning for Personalised Healthcare Services. de Gruyter GmbH, Walter, 2021.

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Book chapters on the topic "Personalised healthcare"

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Chan, Willie Sai Ho. "Taiwan’s Healthcare Report." In Advances in Predictive, Preventive and Personalised Medicine, 189–232. Dordrecht: Springer Netherlands, 2012. http://dx.doi.org/10.1007/978-94-007-4602-2_11.

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Döring, Andrea, and Friedemann Paul. "The German Healthcare System." In Advances in Predictive, Preventive and Personalised Medicine, 45–67. Dordrecht: Springer Netherlands, 2012. http://dx.doi.org/10.1007/978-94-007-4602-2_4.

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Tajnikar, Maks, and Petra Došenović Bonča. "Personalised Medicine in Public Healthcare Systems." In Personalized Medicine in Healthcare Systems, 269–81. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-16465-2_22.

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Zucko, Jurica, Antonio Starcevic, Janko Diminic, and Damir Oros. "Microbiota: Novel Gateway Towards Personalised Medicine." In Personalized Medicine in Healthcare Systems, 107–20. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-16465-2_9.

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Spiru, Luiza, Răzvan Ioan Traşcu, Ileana Turcu, and Mircea Mărzan. "Perpetual Transitions in Romanian Healthcare." In Advances in Predictive, Preventive and Personalised Medicine, 111–31. Dordrecht: Springer Netherlands, 2012. http://dx.doi.org/10.1007/978-94-007-4602-2_7.

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Muzur, Amir, and Iva Rinčić. "(Bio)ethical Aspects of Personalised Medicine: Revealing an “Inconvenient Truth”?" In Personalized Medicine in Healthcare Systems, 211–16. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-16465-2_17.

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Dundar, Munis, and Sevda Yesim Ozdemir. "Overview of the Healthcare System in Turkey." In Advances in Predictive, Preventive and Personalised Medicine, 167–87. Dordrecht: Springer Netherlands, 2012. http://dx.doi.org/10.1007/978-94-007-4602-2_10.

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Vukobrat, Nada Bodiroga, and Hana Horak. "Patient–Doctor Relationship: Data Protection in the Context of Personalised Medicine." In Personalized Medicine in Healthcare Systems, 55–65. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-16465-2_5.

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Shapira, Niva. "A Gender-Specific Nutritional Approach to Women’s Healthcare." In Advances in Predictive, Preventive and Personalised Medicine, 269–305. Dordrecht: Springer Netherlands, 2012. http://dx.doi.org/10.1007/978-94-007-4602-2_15.

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Rukhadze, Tamari. "An Overview of the Healthcare System in Georgia." In Advances in Predictive, Preventive and Personalised Medicine, 133–52. Dordrecht: Springer Netherlands, 2012. http://dx.doi.org/10.1007/978-94-007-4602-2_8.

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Conference papers on the topic "Personalised healthcare"

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Chaczko, Zenon, Christopher Chiu, and Anup Kale. "Cooperative agent-based SANET architecture for personalised healthcare monitoring." In 2010 4th International Conference on Signal Processing and Communication Systems (ICSPCS 2010). IEEE, 2010. http://dx.doi.org/10.1109/icspcs.2010.5709690.

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Michailidis, Charalampos, Ioannis Smanis, Kostas Stamatis, Christos Bergeles, and Antonios Kouris. "Development of a Smartphone-Enabled Spirometer for Personalised Respiratory Health." In 4th International Conference on Wireless Mobile Communication and Healthcare - "Transforming healthcare through innovations in mobile and wireless technologies". ICST, 2014. http://dx.doi.org/10.4108/icst.mobihealth.2014.257512.

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Konstantinidis, E. I., A. S. Billis, I. Th Paraskevopoulos, and P. D. Bamidis. "The interplay between IoT and serious games towards personalised healthcare." In 2017 9th International Conference on Virtual Worlds and Games for Serious Applications (VS-Games). IEEE, 2017. http://dx.doi.org/10.1109/vs-games.2017.8056609.

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Poh, Norman, Santosh Tirunagari, and David Windridge. "Challenges in designing an online healthcare platform for personalised patient analytics." In 2014 IEEE Symposium on Computational Intelligence in Big Data (CIBD). IEEE, 2014. http://dx.doi.org/10.1109/cibd.2014.7011526.

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Iram, Shamaila, Dhiya Al-Jumeily, Paul Fergus, Martin Randles, and Michael Davies. "E-Health: The Potential of Linked Data and Stream Reasoning for Personalised Healthcare." In 2011 Developments in E-systems Engineering (DeSE). IEEE, 2011. http://dx.doi.org/10.1109/dese.2011.25.

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Yu, Hong Qing, Xia Zhao, Zhikun Deng, and Feng Dong. "Semantic Lifting and Reasoning on the Personalised Activity Big Data Repository for Healthcare Research." In 2017 IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData). IEEE, 2017. http://dx.doi.org/10.1109/ithings-greencom-cpscom-smartdata.2017.125.

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Spazzapan, Martina, Byrave Vijayakumar, and Claire Stewart. "49 The use of personalised bedside boards to improve patient-centered care in paediatric intensive care units." In Leadership in Healthcare conference, 14th to 16th November 2018, Birmingham, UK. BMJ Publishing Group Ltd, 2018. http://dx.doi.org/10.1136/leader-2018-fmlm.47.

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O'Caoimh, Rónán, D. William Molloy, Carol Fitzgerald, Lex Van Velsen, Miriam Cabrita, Mohammad Hossein Nassabi, Frederiek de Vette, et al. "Healthcare Recommendations from the Personalised ICT Supported Service for Independent Living and Active Ageing (PERSSILAA) Study." In 3rd International Conference on Information and Communication Technologies for Ageing Well and e-Health. SCITEPRESS - Science and Technology Publications, 2017. http://dx.doi.org/10.5220/0006331800910103.

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Ettema, Roelof, Goran Gumze, Katja Heikkinen, and Kirsty Marshall. "European Integrated Care Horizon 2020: increase societal participation; reduce care demands and costs." In CARPE Conference 2019: Horizon Europe and beyond. Valencia: Universitat Politècnica València, 2019. http://dx.doi.org/10.4995/carpe2019.2019.10175.

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Abstract:
BackgroundCare recipients in care and welfare are increasingly presenting themselves with complex needs (Huber et al., 2016). An answer to this is the integrated organization of care and welfare in a way that personalized care is the measure (Topol, 2016). The reality, however, is that care and welfare are still mainly offered in a standardized, specialized and fragmented way. This imbalance between the need for care and the supply of care not only leads to under-treatment and over-treatment and thus to less (experienced) quality, but also entails the risk of mis-treatment, which means that patient safety is at stake (Berwick, 2005). It also leads to a reduction in the functioning of citizens and unnecessary healthcare cost (Olsson et al, 2009).Integrated CareIntegrated care is the by fellow human beings experienced smooth process of effective help, care and service provided by various disciplines in the zero line, the first line, the second line and the third line in healthcare and welfare, as close as possible (Ettema et al, 2018; Goodwin et al, 2015). Integrated care starts with an extensive assessment with the care recipient. Then the required care and services in the zero line, the first line, the second line and / or the third line are coordinated between different care providers. The care is then delivered to the person (fellow human) at home or as close as possible (Bruce and Parry, 2015; Evers and Paulus, 2015; Lewis, 2015; Spicer, 2015; Cringles, 2002).AimSupport societal participation, quality of live and reduce care demand and costs in people with complex care demands, through integration of healthcare and welfare servicesMethods (overview)1. Create best healthcare and welfare practices in Slovenia, Poland, Austria, Norway, UK, Finland, The Netherlands: three integrated best care practices per involved country 2. Get insight in working mechanisms of favourable outcomes (by studying the contexts, mechanisms and outcomes) to enable personalised integrated care for meeting the complex care demand of people focussed on societal participation in all integrated care best practices.3. Disclose program design features and requirements regarding finance, governance, accountability and management for European policymakers, national policy makers, regional policymakers, national umbrella organisations for healthcare and welfare, funding organisations, and managers of healthcare and welfare organisations.4. Identify needs of healthcare and welfare deliverers for creating and supporting dynamic partnerships for integrating these care services for meeting complex care demands in a personalised way for the client.5. Studying desired behaviours of healthcare and welfare professionals, managers of healthcare and welfare organisations, members of involved funding organisations and national umbrella organisations for healthcare and welfare, regional policymakers, national policy makers and European policymakersInvolved partiesAlma Mater Europaea Maribor Slovenia, Jagiellonian University Krakow Poland, University Graz Austria, Kristiania University Oslo Norway, Salford University Manchester UK, University of Applied Sciences Turku Finland, University of Applied Sciences Utrecht The Netherlands (secretary), Rotterdam Stroke Service The Netherlands, Vilans National Centre of Expertise for Long-term Care The Netherlands, NIVEL Netherlands Institute for Health Services Research, International Foundation of Integrated Care IFIC.References1. Berwick DM. The John Eisenberg Lecture: Health Services Research as a Citizen in Improvement. Health Serv Res. 2005 Apr; 40(2): 317–336.2. Bruce D, Parry B. Integrated care: a Scottish perspective. London J Prim Care (Abingdon). 2015; 7(3): 44–48.3. Cringles MC. Developing an integrated care pathway to manage cancer pain across primary, secondary and tertiary care. International Journal of Palliative Nursing. 2002 May 8;247279.4. Ettema RGA, Eastwood JG, Schrijvers G. Towards Evidence Based Integrated Care. International journal of integrated care 2018;18(s2):293. DOI: 10.5334/ijic.s22935. Evers SM, Paulus AT. Health economics and integrated care: a growing and challenging relationship. Int J Integr Care. 2015 Jun 17;15:e024.6. Goodwin N, Dixon A, Anderson G, Wodchis W. Providing integrated care for older people with complex needs: lessons from seven international case studies. King’s Fund London; 2014.7. Huber M, van Vliet M, Giezenberg M, Winkens B, Heerkens Y, Dagnelie PC, Knottnerus JA. Towards a 'patient-centred' operationalisation of the new dynamic concept of health: a mixed methods study. BMJ Open. 2016 Jan 12;6(1):e010091. doi: 10.1136/bmjopen-2015-0100918. Lewis M. Integrated care in Wales: a summary position. London J Prim Care (Abingdon). 2015; 7(3): 49–54.9. Olsson EL, Hansson E, Ekman I, Karlsson J. A cost-effectiveness study of a patient-centred integrated care pathway. 2009 65;1626–1635.10. Spicer J. Integrated care in the UK: variations on a theme? London J Prim Care (Abingdon). 2015; 7(3): 41–43.11. Topol E. (2016) The Patient Will See You Now. The Future of Medicine Is in Your Hands. New York: Basic Books.
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Markakis, Evangelos, Yannis Nikoloudakis, Evangelos Pallis, and Marco Manso. "Security Assessment as a Service Cross-Layered System for the Adoption of Digital, Personalised and Trusted Healthcare." In 2019 IEEE 5th World Forum on Internet of Things (WF-IoT'19). IEEE, 2019. http://dx.doi.org/10.1109/wf-iot.2019.8767249.

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