Data analytics for the sustainable use of resources in hospitals: Predicting the length of stay for patients with chronic diseases

2020 ◽  
pp. 103282 ◽  
Author(s):  
Hamed M. Zolbanin ◽  
Behrooz Davazdahemami ◽  
Dursun Delen ◽  
Amir Hassan Zadeh
Keyword(s):  
Length Of Stay ◽  
Chronic Diseases ◽  
Data Analytics ◽  
Sustainable Use ◽  
Use Of Resources

#69: Improving Communication About the Care and Prevention of Infections in a Pediatric Oncology Unit by Using Patient Daily Goals in Multidisciplinary Rounds

2021 ◽  
Vol 10 (Supplement_1) ◽  
pp. S22-S22
Author(s):  
Escobedo-Melendez Griselda ◽  
Martinez-Albarran Manuel ◽  
Magaña-Saldivar Isadora ◽  
Jimenez Norma ◽  
Gomez-Huerta Elizabeth ◽  
...  
Keyword(s):  
Length Of Stay ◽  
Pediatric Oncology ◽  
Multidisciplinary Team ◽  
Statistical Significance ◽  
Healthcare Providers ◽  
Multidisciplinary Teams ◽  
Use Of Resources ◽  
Multidisciplinary Rounds ◽  
Prevention Of Infections ◽  
Oncology Unit

Abstract Background In children with cancer infections are the most frequent complication, with fatal outcomes if not addressed promptly. Therefore, care and prevention of infections in these patients require multidisciplinary interventions, with effective communication among healthcare providers to reduce the morbidity, length of stay, and the inappropriate use of resources. We used the Institute of Healthcare Improvement (IHI) model for improving the communication among healthcare providers by using patient daily goals after the oncology pediatric unit multidisciplinary rounds. Methods A multidisciplinary team was identified in the pediatric oncology unit. The team received weekly coaching on the IHI methodology. The methodology used included the creation of a block diagram to understand the baseline processes and a key driver diagram. Then, after a literature review, a data collection plan and measures were identified. The team identified different ideas for changes and prioritized them using an impact-effort matrix. Finally, several rounds of Plan-Do-Study-Act (PDSA) cycles reached the desired changes that organized the patient daily goals for sharing in the form of a worksheet. This worksheet was shared with nurses and pharmacist staff, a chat group was created, and the routine use of the daily goals for patient management was taught and incorporated into the rest of the care team staff. The percentage of excellent communication among all multidisciplinary teams and outcomes (length of stay, intensive care unit admission, and mortality) were recorded at baseline and endline. We determined the statistical significance of the baseline vs. endline difference by using χ 2 and t-tests. Results A total of 105 patients with suspected infections were included over a 6-month period (June through November 2019). We found a significant increase per month in the percent of agreement in excellent communication in the patient daily goals between infectious diseases specialist faculty and fellows, nurses, pharmacist, and pediatric oncology faculty and fellows (33.3% vs. 91.3%) (P = 0.004). Length of stay decreased monthly after our interventions (baseline: mean 14.7 days [SD 12.4] vs. after intervention: mean 6.7 days [SD 2.7]) (P = 0.014). There were only one ICU admission and no deaths during the implementation period. Conclusions Our approach using patient daily goals improved communication among a multidisciplinary team, leading to decreased length of stay and supporting adequate outcomes.

scholarly journals Population Characteristics of Cats Adopted from an Urban Cat Shelter and the Influence of Physical Traits and Reason for Surrender on Length of Stay

Animals ◽  
2019 ◽  
Vol 9 (11) ◽  
pp. 940 ◽  
Author(s):  
Miller ◽  
Ward ◽  
Beatty
Keyword(s):  
Length Of Stay ◽  
Animal Welfare ◽  
Coat Color ◽  
Population Characteristics ◽  
Study Cohort ◽  
Potential Predictor ◽  
Use Of Resources ◽  
Stray Cats ◽  
Hazard Ratios ◽  
Physical Traits

Measures aimed at reducing the length of stay (LOS) of cats in shelters can promote animal welfare and more efficient use of resources. The extent to which variables shown to impact LOS are broadly applicable is unclear. The aim of this study was to describe a population of cats adopted from an urban shelter, and to analyze the association between potential predictor variables and LOS. A study cohort was identified retrospectively from shelter records (n = 2584), 48.8% of which were < 12 weeks old at admission, and 80.7% were stray. Among 445 cats relinquished by owners, reasons for surrender were primarily owner-related (87.2%). Overall, reason for surrender and coat color were significantly associated with LOS. Hazard ratios showed that all reasons for surrender for owner-relinquished cats were associated with a shorter LOS than stray cats and this association was significant (p < 0.05) for all except cat behavioral or medical reasons. In contrast to previous reports, white cats had a significantly (p < 0.05) longer LOS than black cats. This study highlights an important role for shelter-specific baseline data to inform and measure the effect of interventional studies aimed at improving animal welfare by reducing LOS in shelter-housed cats

scholarly journals PENGELOLAAN BIOMASSA TANAMAN DALAM BIOINDUSTRI PERKEBUNAN MENDUKUNG PENGEMBANGAN BIOENERGI Plant Biomass Management in Plantations Bioindustry Supporting Bioenergy Development

Perspektif ◽  
2020 ◽  
Vol 18 (2) ◽  
pp. 135
Author(s):  
Suci Wulandari ◽  
Sumanto Sumanto ◽  
Saefudin Saefudin
Keyword(s):  
Food Systems ◽  
Production Systems ◽  
Plant Biomass ◽  
System Development ◽  
Sustainable Use ◽  
Cropping System ◽  
Added Value ◽  
Plant Parts ◽  
Use Of Resources ◽  
Plantation Crops

<p>Biomassa tanaman perkebunan dapat dimanfaatkan untuk pangan, pakan, dan bioenergi. Hasil penelitian dan perkembangan teknologi telah mendorong pemanfaatan biomassa bagian-bagian tanaman tersebut. Tanaman perkebunan memiliki potensi besar untuk menghasilkan biomassa yang dapat dimanfaatkan dalam pengembangan energi terbarukan. Pemetaan potensi biomassa telah banyak dilakukan pada tanaman perkebunan, seperti pada: tebu, kakao, kelapa sawit, kemiri sunan, jarak pagar, kopi, kelapa dalam, karet dan teh. Pengembangan sistem produksi pangan dan biomassa untuk pembangkit energi melalui sistem multi tanam berbasis komoditas perkebunan telah dikembangkan.  Di Kabupaten Aceh Timur telah dilakukan pengembangan sistem agroindustri juga memanfaatkan semua produk samping, mendorong daur ulang dan pemanfaatan residu. Pemanfaatan potensi bioenergi masih dihadapkan pada berbagai kendala distribusi, kontinuitas pasokan bahan dan aspek ekonomi. Menyikapi hal tersebut langkah strategis dapat dilakukan melalui: analisis neraca karbon, alokasi lahan, pemanfaatan lahan, pemanfaatan sumber daya secara berkelanjutan, dukungan teknologi, fokus pada nilai tambah yang tinggi dan perbaikan tata kelola. Selanjutnya perbaikan pada pengembangan sistem pangan energi terpadu dapat ditempuh melalui: (1) sosialisasi dari inovasi teknologi, (2) membentuk kawasan-kawasan pertanian terpadu di daerah sentra pengembangan dan (3) memperkuat kelembagaan petani untuk mengembangkan agroindustri.</p><p> </p><p><strong> </strong><strong> </strong>ABSTRACT</p><p align="center">Biomass from estate crops can be used for food, feed, and bioenergy. The results of research and technological developments have encouraged the utilization of biomass of these plant parts. Plantation crops have great potential to produce biomass that can be utilized in the development of renewable energy. Mapping of biomass potential has been carried out in plantation crops, such as: sugar cane, cocoa, oil palm, candlenut, jatropha, coffee, deep coconut, rubber, and tea. The development of food and biomass production systems for energy generation through a commodity-based multi-cropping system has been developed. In East Aceh District an agro-industrial system development has also been carried out utilizing all byproducts, encouraging recycling and utilizing residues. The utilization of bioenergy is still faced with various distribution constraints, continuity of material supply and economic aspects. In response to this, strategic steps can be taken through carbon balance analysis, land allocation, land use, sustainable use of resources, technology support, focus on high added value and improved governance. Furthermore, improvements to the development of integrated energy food systems can be pursued through (1) socialization of technological innovations, (2) establishing integrated agricultural areas in plant centers and (3) strengthening farmer institutions to develop agro-industries.</p><p> </p>

scholarly journals Strategic Green HRM – The Integration of Environmental Management into HRM with reference to one of the Healthcare Industry

2017 ◽  
Vol 6 (1) ◽  
pp. 85 ◽  
Author(s):  
Shikha Yadav
Keyword(s):  
Environmental Management ◽  
Corporate Social Responsibility ◽  
Corporate Sustainability ◽  
Sustainable Use ◽  
Healthcare Sector ◽  
Healthcare Industry ◽  
Business Organisation ◽  
Use Of Resources ◽  
Pharmaceutical Industries ◽  
Corporate Social

<div><p><em>This paper studies one of the healthcare industry of India “Sun Pharmaceutical Industries Limited” which is ranked at 352 amongst the world’s largest 500 companies on corporate sustainability and environmental impact according to Newsweek in 2016. Sun Pharmaceutical Industries limited is the only company in the healthcare sector in India which has been listed as one of the Green companies in India. This paper mainly focuses on understanding and analysing the Green initiatives as a part of Corporate social responsibility (CSR) taken by the company which makes it the green company in India in Healthcare sector. </em></p></div><em>The green scores of the company has also increased by 4% compared to the previous year (2015), which shows that the company is always striving to incorporate strategic Green HRM. Strategic Green HRM is one of the growing innovative approaches which promotes the sustainable use of resources of the business organisation and thus integrates environmental management into HRM.</em>

scholarly journals Communication Among Harvesters Leads to Sustainable Fishing Behaviour in a Continuous Time Common Pool Resource Experiment

2021 ◽  
Vol 8 ◽  
Author(s):  
Kwabena A. Owusu ◽  
Micaela M. Kulesz ◽  
Agostino Merico
Keyword(s):  
Resource Availability ◽  
Continuous Time ◽  
Empirical Studies ◽  
Sustainable Use ◽  
Large Body ◽  
Common Pool ◽  
Use Of Resources ◽  
Extraction Behaviour ◽  
The Commons ◽  
Resource Levels

The sustainable use of common pool resources (CPRs) such as fisheries constitutes a major challenge for society. A large body of empirical studies conducted in discrete time indicates that resource users are able to prevent the ‘tragedy of the commons' under institutional arrangements that can promote cooperation. However, the variability exhibited by the human behaviour and the dynamic nature of renewable resources require continuous time experiments to fully explain the mechanisms underpinning the sustainable use of resources. We conducted CPR experiments in continuous time to investigate how the extraction behaviour of resource users changes in real-time in response to changes in resource availability under communication and no communication. We find that when communication is allowed, users adjust their extraction efforts based on knowledge of previous resource availability. In contrast, when communication is not allowed, users do not incorporate resource availability into their utility function. These results suggest that communication does not merely provide a forum for coordination but mediates a causal relationship between resource levels and extraction behaviour. Our findings may help the development of effective resource management policies.

scholarly journals Impact of Big Data Analytics on People’s Health: Overview of Systematic Reviews and Recommendations for Future Studies (Preprint)

2021 ◽  
Author(s):  
Israel Júnior Borges do Nascimento ◽  
Milena Soriano Marcolino ◽  
Hebatullah Mohamed Abdulazeem ◽  
Ishanka Weerasekara ◽  
Natasha Azzopardi-Muscat ◽  
...  
Keyword(s):  
Big Data ◽  
Chronic Diseases ◽  
Systematic Reviews ◽  
Data Analytics ◽  
Big Data Analytics ◽  
Health Indicators ◽  
High Accuracy ◽  
Patient Data ◽  
Suicide Mortality ◽  
Cochrane Library

BACKGROUND Although the potential of big data analytics for health care is well recognized, evidence is lacking on its effects on public health. OBJECTIVE The aim of this study was to assess the impact of the use of big data analytics on people’s health based on the health indicators and core priorities in the World Health Organization (WHO) General Programme of Work 2019/2023 and the European Programme of Work (EPW), approved and adopted by its Member States, in addition to SARS-CoV-2–related studies. Furthermore, we sought to identify the most relevant challenges and opportunities of these tools with respect to people’s health. METHODS Six databases (MEDLINE, Embase, Cochrane Database of Systematic Reviews via Cochrane Library, Web of Science, Scopus, and Epistemonikos) were searched from the inception date to September 21, 2020. Systematic reviews assessing the effects of big data analytics on health indicators were included. Two authors independently performed screening, selection, data extraction, and quality assessment using the AMSTAR-2 (A Measurement Tool to Assess Systematic Reviews 2) checklist. RESULTS The literature search initially yielded 185 records, 35 of which met the inclusion criteria, involving more than 5,000,000 patients. Most of the included studies used patient data collected from electronic health records, hospital information systems, private patient databases, and imaging datasets, and involved the use of big data analytics for noncommunicable diseases. “Probability of dying from any of cardiovascular, cancer, diabetes or chronic renal disease” and “suicide mortality rate” were the most commonly assessed health indicators and core priorities within the WHO General Programme of Work 2019/2023 and the EPW 2020/2025. Big data analytics have shown moderate to high accuracy for the diagnosis and prediction of complications of diabetes mellitus as well as for the diagnosis and classification of mental disorders; prediction of suicide attempts and behaviors; and the diagnosis, treatment, and prediction of important clinical outcomes of several chronic diseases. Confidence in the results was rated as “critically low” for 25 reviews, as “low” for 7 reviews, and as “moderate” for 3 reviews. The most frequently identified challenges were establishment of a well-designed and structured data source, and a secure, transparent, and standardized database for patient data. CONCLUSIONS Although the overall quality of included studies was limited, big data analytics has shown moderate to high accuracy for the diagnosis of certain diseases, improvement in managing chronic diseases, and support for prompt and real-time analyses of large sets of varied input data to diagnose and predict disease outcomes. CLINICALTRIAL International Prospective Register of Systematic Reviews (PROSPERO) CRD42020214048; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=214048

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