scholarly journals Analysis of Risk Factor Domains in Psychosis Patient Health Records

2019 ◽  
Author(s):  
Eben Holderness ◽  
Nicholas Miller ◽  
Philip Cawkwell ◽  
Kirsten Bolton ◽  
James Pustejovsky ◽  
...  
Keyword(s):  
Psychiatric Patients ◽  
Topic Extraction ◽  
Health Records ◽  
Psychiatric Readmission ◽  
Data Pipeline ◽  
Wide Range ◽  
Patient Health ◽  
Document Vector ◽  
Extraction Model

AbstractReadmission after discharge from a hospital is disruptive and costly, regardless of the reason. However, it can be particularly problematic for psychiatric patients, so predicting which patients may be readmitted is critically important but also very difficult. Clinical narratives in psychiatric electronic health records (EHRs) span a wide range of topics and vocabulary; therefore, a psychiatric readmission prediction model must begin with a robust and interpretable topic extraction component. We created a data pipeline for using document vector similarity metrics to perform topic extraction on psychiatric EHR data in service of our long-term goal of creating a readmission risk classifier. We show initial results for our topic extraction model and identify additional features we will be incorporating in the future.

scholarly journals Analysis of risk factor domains in psychosis patient health records

2019 ◽  
Vol 10 (1) ◽  
Author(s):  
Eben Holderness ◽  
Nicholas Miller ◽  
Philip Cawkwell ◽  
Kirsten Bolton ◽  
Marie Meteer ◽  
...  
Keyword(s):  
Risk Factor ◽  
Psychiatric Patients ◽  
Training Data ◽  
Learning Approaches ◽  
Topic Extraction ◽  
Health Records ◽  
Psychiatric Readmission ◽  
Multiword Expressions ◽  
Wide Range ◽  
Readmission Risk

Abstract Background Readmission after discharge from a hospital is disruptive and costly, regardless of the reason. However, it can be particularly problematic for psychiatric patients, so predicting which patients may be readmitted is critically important but also very difficult. Clinical narratives in psychiatric electronic health records (EHRs) span a wide range of topics and vocabulary; therefore, a psychiatric readmission prediction model must begin with a robust and interpretable topic extraction component. Results We designed and evaluated multiple multilayer perceptron and radial basis function neural networks to predict the sentences in a patient’s EHR that are associated with one or more of seven readmission risk factor domains that we identified. In contrast to our baseline cosine similarity model that is based on the methodologies of prior works, our deep learning approaches achieved considerably better F1 scores (0.83 vs 0.66) while also being more scalable and computationally efficient with large volumes of data. Additionally, we found that integrating clinically relevant multiword expressions during preprocessing improves the accuracy of our models and allows for identifying a wider scope of training data in a semi-supervised setting. Conclusion We created a data pipeline for using document vector similarity metrics to perform topic extraction on psychiatric EHR data in service of our long-term goal of creating a readmission risk classifier. We show results for our topic extraction model and identify additional features we will be incorporating in the future.

The Practice of Community Psychiatric Nursing and Mental Health Social Work in Salford Some Implications for Community Care

1988 ◽  
Vol 152 (6) ◽  
pp. 783-792 ◽  
Author(s):  
K. Wooff ◽  
D. P. Goldberg ◽  
T. Fryers
Keyword(s):  
Mental Health ◽  
Psychiatric Symptoms ◽  
Psychiatric Patients ◽  
Psychiatric Nurses ◽  
Health Staff ◽  
Mental Health Staff ◽  
Term Care ◽  
Community Psychiatric ◽  
Wide Range

The context and content of work undertaken with individual clients by community psychiatric nurses (CPNs) and mental health social workers (MHSWs) in Salford were found to be significantly different. Although there were some areas of overlap, the ways in which the two professions worked were quite distinct. MHSWs discussed a wide range of topics and were as concerned with clients' interactions with family and community networks as they were with symptoms. Their interviews with schizophrenic clients followed a similar pattern to those with other groups, and they worked closely with psychiatrists and other mental health staff. CPNs, on the other hand, focused mainly on psychiatric symptoms, treatment arrangements, and medications, and spent significantly less time with individual psychotic clients than they did with patients suffering from neuroses. They were as likely to be in contact with general practitioners as they were with psychiatrists, and had fewer contacts with other mental health staff than the MHSWs. There was evidence that the long-term care of chronic psychiatric patients living outside hospital required more co-ordinated long-term multidisciplinary input.

scholarly journals Review of Wearable Devices and Data Collection Considerations for Connected Health

Sensors ◽  
2021 ◽  
Vol 21 (16) ◽  
pp. 5589
Author(s):  
Vini Vijayan ◽  
James Connolly ◽  
Joan Condell ◽  
Nigel McKelvey ◽  
Philip Gardiner
Keyword(s):  
Functional Ability ◽  
Wearable Sensors ◽  
Disease Diagnosis ◽  
Self Report ◽  
Sensor Technology ◽  
Self Assessment ◽  
Patient Recall ◽  
Wide Range ◽  
Patient Health

Wearable sensor technology has gradually extended its usability into a wide range of well-known applications. Wearable sensors can typically assess and quantify the wearer’s physiology and are commonly employed for human activity detection and quantified self-assessment. Wearable sensors are increasingly utilised to monitor patient health, rapidly assist with disease diagnosis, and help predict and often improve patient outcomes. Clinicians use various self-report questionnaires and well-known tests to report patient symptoms and assess their functional ability. These assessments are time consuming and costly and depend on subjective patient recall. Moreover, measurements may not accurately demonstrate the patient’s functional ability whilst at home. Wearable sensors can be used to detect and quantify specific movements in different applications. The volume of data collected by wearable sensors during long-term assessment of ambulatory movement can become immense in tuple size. This paper discusses current techniques used to track and record various human body movements, as well as techniques used to measure activity and sleep from long-term data collected by wearable technology devices.

scholarly journals Challenges in defining Long COVID: Striking differences across literature, Electronic Health Records, and patient-reported information

2021 ◽  
Author(s):  
Halie M. Rando ◽  
Tellen D. Bennett ◽  
James Brian Byrd ◽  
Carolyn Bramante ◽  
Tiffany J. Callahan ◽  
...  
Keyword(s):  
Electronic Health Records ◽  
Multiple Organ ◽  
Health Records ◽  
Health Crisis ◽  
Organ Systems ◽  
Wide Range ◽  
Patient Reported ◽  
Electronic Health ◽  
Novel Coronavirus

Since late 2019, the novel coronavirus SARS-CoV-2 has introduced a wide array of health challenges globally. In addition to a complex acute presentation that can affect multiple organ systems, increasing evidence points to long-term sequelae being common and impactful. As the worldwide scientific community forges ahead with efforts to characterize a wide range of outcomes associated with SARS-CoV-2 infection, the proliferation of available data has made it clear that formal definitions are needed in order to design robust and consistent studies of Long COVID that consistently capture variation in long-term outcomes. In the present study, we investigate the definitions used in the literature published to date and compare them against data available from electronic health records and patient-reported information collected via surveys. Long COVID holds the potential to produce a second public health crisis on the heels of the pandemic. Proactive efforts to identify the characteristics of this heterogeneous condition are imperative for a rigorous scientific effort to investigate and mitigate this threat.

scholarly journals A hospital based study: is the prescription of Benzodiazepine consistent with the guidelines?

2014 ◽  
Vol 2 (1) ◽  
pp. 30-34
Author(s):  
DK Thapa ◽  
N Lammichhane ◽  
S Subedi
Keyword(s):  
Past History ◽  
Psychiatric Patients ◽  
Cross Sectional Study ◽  
Cross Sectional ◽  
Medical College ◽  
Wide Range ◽  
Benzodiazepine Use ◽  
History Of ◽  
The Mean

OBJECTIVE: Benzodiazepines are one of the most frequently prescribed psychotropic drugs. They confer a therapeutic value in a wide range of conditions. They exert sedative/ hypnotic, anxiolytic, anticonvulsant, muscle relaxant and amnesic action. Nearly all of the disadvantages of benzodiazepines result from long term use leading to development of tolerance, dependence and withdrawal. This study was done to determine if the pattern of benzodiazepines prescription among the psychiatric patients is consistent with the guideline. METHODS: This was a descriptive, hospital based cross- sectional study done in the psychiatry department at Gandaki Medical College. The consecutive 50 patients who either had a past history of treatment with or were still regularly on prescription for any of the following medication; alprazolam, chlordiazepoxide, clonazepam,diazepam, and lorazepam were included in the study. The psychiatric diagnosis of the patients, duration and types of benzodiazepines dispensed to patients were worked up. The duration of study was 6 months (Jan- June 2013). RESULTS: The total numbers of subjects enrolled in the study was 50. Female constituted 28 (56%), majority were married 45 (90%) and most of the subjects 31 (62%), were from the local district of Kaski. The mean age of the subjects was 41.1 ± 15 .3 years. Among the types of benzodiazepines prescribed, clonazepam was the most frequently prescribed benzodiazepine. Dispensing of less than 30-days or 1 month supply of benzodiazepines, a practice typically recommended by practice guidelines, occurred in only 5 ( 10%) of the users. The study showed that there was a huge variation regarding the duration of benzodiazepines use, ranging from the period of less than of 1 month to the maximum duration of 192 months or 16 years. The mean duration of the benzodiazepine use was 34.8 ± 50 months i.e. near about 3 years. CONCLUSIONS: Despite guideline cautions, long-term benzodiazepines use remains a common treatment pattern. DOI: http://dx.doi.org/10.3126/jucms.v2i1.10489   Journal of Universal College of Medical Sciences (2014) Vol.2(1): 30-34

scholarly journals Comparing Optimization Criteria in Antibiotic Allocation Protocols

2021 ◽  
Author(s):  
Alastair D Jamieson-Lane ◽  
Alexander Friedrich ◽  
Bernd Blasius
Keyword(s):  
Asymptotic Methods ◽  
Treatment Protocol ◽  
Resistant Bacteria ◽  
Treatment Protocols ◽  
Optimization Criteria ◽  
Wide Range ◽  
Patient Health ◽  
Evolution Of Resistance ◽  
Modelling Assumptions

Clinicians prescribing antibiotics in a hospital context follow one of several possible "treatment protocols" - heuristic rules designed to balance the immediate needs of patients against the long term threat posed by the evolution of antibiotic resistance and multi-resistant bacteria. Several criteria have been proposed for assessing these protocols, unfortunately these criteria frequently conflict with one another, each providing a different recommendation as to which treatment protocol is best. Here we review and compare these optimization criteria. We are able to demonstrate that criteria focused primarily on slowing evolution of resistance are directly antagonistic to patient health both in the short and long term. We provide a new optimization criteria of our own, intended to more meaningfully balance the needs of the future and present. Asymptotic methods allow us to evaluate this criteria and provide insights not readily available through the numerical methods used previously in the literature. When cycling antibiotics, we find an antibiotic switching time which proves close to optimal across a wide range of modelling assumptions.

Modern prevention and active longevity programs on the basis of disruptive domestic technologies: positive experience and prospects for application

2020 ◽  
pp. 66-73
Author(s):  
A. Simonova ◽  
S. Chudakov ◽  
R. Gorenkov ◽  
V. Egorov ◽  
A. Gostry ◽  
...  
Keyword(s):  
Personalized Medicine ◽  
Early Detection ◽  
Laboratory Diagnostics ◽  
Positive Experience ◽  
Practical Application ◽  
Wide Range ◽  
Integrated Program ◽  
Long Term Experience ◽  
Early Detection And Prevention

The article summarizes the long-term experience of practical application of domestic breakthrough technologies of preventive personalized medicine for laboratory diagnostics of a wide range of socially significant non-infectious diseases. Conceptual approaches to the formation of an integrated program for early detection and prevention of civilization diseases based on these technologies are given. A vision of the prospects for the development of this area in domestic and foreign medicine has been formed.

To the 70th anniversary of World Meteorological Organization. Scientific and technical cooperation of Hydrometeorological Center of the USSR/Russia in the Programs of World Meteorological Organization

2020 ◽  
pp. 117-138
Author(s):  
S.V. Borshch ◽  
◽  
R.M. Vil’fand ◽  
D.B. Kiktev ◽  
V.M. Khan ◽  
...  
Keyword(s):  
Environmental Monitoring ◽  
High Efficiency ◽  
World Meteorological Organization ◽  
70Th Anniversary ◽  
Technical Level ◽  
Technical Cooperation ◽  
Wide Range

The paper presents the summary and results of long-term and multi-faceted experience of international scientific and technical cooperation of Hydrometeorological Center of Russia in the field of hydrometeorology and environmental monitoring within the framework of WMO programs, which indicates its high efficiency in performing a wide range of works at a high scientific and technical level. Keywords: World Meteorological Organization, major WMO programs, representatives of Hydrometeorological Center of Russia in WMO

Research on the Economic Organization Environmental Impact

2017 ◽  
Vol 68 (3) ◽  
pp. 599-601
Author(s):  
Dan Paul Stefanescu ◽  
Oana Roxana Chivu ◽  
Claudiu Babis ◽  
Augustin Semenescu ◽  
Alina Gligor
Keyword(s):  
Economic Activity ◽  
Economic Organization ◽  
Economic Activities ◽  
Environmental Implications ◽  
Minimal Impact ◽  
Wide Range ◽  
Material Environment ◽  
Negative Effect ◽  
Harmful Effects

Any economic activity carried out by an organization, can generate a wide range of environmental implications. Particularly important, must be considered the activities that have a significant negative effect on the environment, meaning those which pollute. Being known the harmful effects of pollution on the human health, the paper presents two models of utmost importance, one of the material environment-economy interactions balance and the other of the material flows between environmental factors and socio-economic activities. The study of these models enable specific conditions that must be satisfied for the economic processes friendly coexist to the environment for long term, meaning to have a minimal impact in that the residues resulting from the economic activity of the organization to be as less harmful to the environment.

Long-term Effects of Triazol Growth Regulators on Stem Elongation of Rhododendron and Kalmia

HortScience ◽  
1997 ◽  
Vol 32 (3) ◽  
pp. 436E-436
Author(s):  
Martin P.N. Gent
Keyword(s):  
Dose Response ◽  
Growth Regulator ◽  
Stem Elongation ◽  
Spray Application ◽  
Long Term Effects ◽  
Potted Plants ◽  
Response Coefficient ◽  
Wide Range ◽  
Second Year

The persistence of effects of paclobutrazol or uniconazol on stem elongation was determined for several years after large-leaf Rhododendron and Kalmia latifolia were treated with a single-spray application of these triazol growth-regulator chemicals. Potted plants were treated in the second year from propagation, and transplanted into the field in the following spring. The elongation of stems was measured in the year of application and in the following 2 to 4 years. Treatments with a wide range of doses were applied in 1991, 1992, or 1995. For all except the most-dilute applications, stem elongation was retarded in the year following application. At the highest doses, stem growth was inhibited 2 years following application. The results could be explained by a model of growth regulator action that assumed stem elongation was inversely related to amount of growth regulator applied. The dose response coefficient for paclobutrazol was less than that for uniconazol. The dose that inhibited stem elongation one-half as much as a saturating dose was about 0.5 and 0.05 mg/plant, for paclobutrazol and uniconazol, respectively. The dose response coefficient decreased exponentially with time after application, with an exponential time constant of about 2/year. The model predicted a dose of growth regulator that inhibited 0.9 of stem elongation immediately after application would continue to inhibit 0.5 of stem elongation in the following year.

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