Integrating “big data” into surgical practice

Mathias, Brittany; Lipori, Gigi; Moldawer, Lyle L.; Efron, Philip A.

doi:10.1016/j.surg.2015.08.043

Cited by 23 publications

(12 citation statements)

References 14 publications

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“…This novel method of data management will have an incredible impact on patient care, diagnosis and treatment which will result in a reduction in patient morbidity and mortality as well as population outbreaks and in nosocomial infections within hospitals (Forkan et al, 2017). Big Data offers opportunities in clinical medicine including: (1) patient involvement is increased by creating accessible and understandable data, (2) personalized medicine is translated into healthcare and (3) new knowledge is generated and disseminated (Mathias et al, 2016). Table 3 (Nydegger et al, 2016) shows advantages, disadvantages/drawbacks and measures (for drawbacks) of big data in EHRs.…”

Section: Resultsmentioning

confidence: 99%

“…Genomic medicine incorporates genomics-based diagnostics into practice. The entire human genomic and exomic sequence (i.e., whole-genome sequencing), is now available and can be used for less expensive and rapid individual analysis (Mathias et al, 2016). Table 4 (Wooden et al, 2017) shows some publicly available big data resources and their description.…”

Section: Resultsmentioning

confidence: 99%

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Healthcare Driven by Big Data Analytics

Alexander

Wang²

2018

American Journal of Engineering and Applied Sciences

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Text messages and social network posts are often included in big data and are frequently invaluable sources of health data. When machine learning or data mining is used, it is important to perform an automatic process for integrating all available and related health data. Artificial Neural Network (ANN) is one of the machine learning methods flexible in using algorithms to detect complicated nonlinear relationships within huge datasets. Pharmacokinetics uses genetics to individualize drug therapy. Because genetic and pharmacological analysis often require large scale computation, Big Data analytics has shown potential in this area. Personal data from various sensors can often be used for making health and treatment recommendations, taking appropriate action for a patient's lifestyle choices and early diagnosis vital to advancing quality of care. Big data techniques such as hadoop and spark have been used in various areas of healthcare and big data analytics has been employed in great datasets to expose hidden patterns or correlations for effective decision-making. Challenges of big data in healthcare, concerned with gathering material from multifaceted heterogonous patient sources still exist, although hadoop has been employed as the processing unit for heterogeneous data gathered from various body sensors. The most critical necessity in a healthcare big data system is the data security; however, users are continuously applying big data-driven strategies to solve the various problems and challenges.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Healthcare Driven by Big Data Analytics

Alexander

Wang²

2018

American Journal of Engineering and Applied Sciences

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“…Similar to studies of sepsis in adults, there is active research examining both clinical and research measurements applicable to a pediatric population. One current tool which may be available in the near future is the implementation of biomarkers or ‘-omic’ (including genomics, transcriptomics, proteomics, and metabolomics) information that may provide diagnostic and prognostic capability early in the course of sepsis (14). This information may also help stratify this heterogeneous patient population into subgroups for more tailored therapeutic approaches (15).…”

Section: Defining Sepsismentioning

confidence: 99%

“…All one needs to do is watch television and see the advertisements from large information warehouses, like IBM, General Electric, Google and Microsoft. As this information database grows and the tools to extract biological information from this data improve, we will see the advent of personalized medicine where treatment is tailor-made to the individuals unique physiology (14). Although this technology seems far off, there are already genomic markers that can identify which patients will benefit from corticosteroid therapies (15).…”

Section: Managementmentioning

confidence: 99%

Pediatric sepsis

Mathias

Mira

Larson

2016

Current Opinion in Pediatrics

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Purpose of Review Sepsis is the leading cause of pediatric death worldwide. In the United States alone, there are 72,000 children hospitalized for sepsis annually with a reported mortality rate of 25% and an economic cost estimated to be $4.8 billion. However, it is only recently that the definition and management of pediatric sepsis has been recognized as being distinct from adult sepsis. Recent Findings The definition of pediatric sepsis is currently in a state of evolution and there is a large disconnect between the clinical and research definitions of sepsis which impacts the application of research findings into clinical practice. Despite this, it is the speed of diagnosis and the timely implementation of current treatment guidelines that has been shown to improve outcomes. However, adherence to treatment guidelines is currently low and it is only through the implementation of protocols that improved care and outcomes have been demonstrated. Summary Current management of pediatric sepsis is largely based on adaptations from adult sepsis treatment; however, distinct physiology demands more prospective pediatric trials to tailor management to the pediatric population. Adherence to current and emerging practice guidelines will require that protocolized care pathways become commonplace.

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“…BG is a key structural polysaccharide of the cell wall of most fungi and the authors have revealed that it can be used as a marker of gastrointestinal leakage and sepsis, even during/after bacterial infections (10). As clinicians are moving towards precision medicine (11), this type of biomarker will prove vital as scientists tailor therapy only to those individuals that require intervention.…”

mentioning

confidence: 99%