Integrating evidence-based thermal satisfaction in energy benchmarking: A data-driven approach for a whole-building evaluation

Decision making is such an integral aspect in health care routine that the ability to make the right decisions at crucial moments can lead to patient health improvements. Evidence-based practice, the paradigm used to make those informed decisions, relies on the use of current best evidence from systematic research such as randomized controlled trials. Limitations of the outcomes from RCT, such as “quantity” and “quality” of evidence generated, has lowered healthcare professionals' confidence in using EBP. An alternate paradigm of Practice-Based Evidence has evolved with the key being evidence drawn from practice settings. Through the use of health information technology, electronic health records capture relevant clinical practice “evidence”. A data-driven approach is proposed to capitalize on the benefits of EHR. The issues of data privacy, security and integrity are diminished by an information accountability concept. Data warehouse architecture completes the data-driven approach by integrating health data from multi-source systems, unique within the healthcare environment.

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Data-driven approach to using individual cattle weights to estimate mean adult dairy cattle weight

Veterinary Record ◽

10.1136/vr.105471 ◽

2019 ◽

Vol 185 (17) ◽

pp. 540-540 ◽

Cited By ~ 1

Author(s):

Hannah Schubert ◽

Sarah Wood ◽

Kristen Reyher ◽

Harriet Mills

Keyword(s):

Dairy Cattle ◽

Data Driven ◽

Average Weight ◽

Evidence Based ◽

Antimicrobial Use ◽

Data Driven Approach ◽

The Uk ◽

On Farm ◽

First Time ◽

Lactating Dairy Cattle

BackgroundKnowledge of accurate weights of cattle is crucial for effective dosing of individual animals and for reporting antimicrobial usage. For the first time, we provide an evidence-based estimate of the average weight of UK dairy cattle to better inform farmers, veterinarians and the scientific community.MethodsData were collected for 2747 lactating dairy cattle from 20 farms in the UK. Data were used to calculate a mean weight for lactating dairy cattle by breed and a UK-specific mean weight. Trends in weight by lactation number and production level were also explored.ResultsMean weight for adult dairy cattle in this study was 617 kg (sd=85.6 kg). Mean weight varied across breeds, with a range of 466 kg (sd=56.0 kg, Jersey) to 636 kg (sd=84.1, Holsteins). When scaled to UK breed proportions, the estimated UK-specific mean weight was 620 kg.ConclusionThis study is the first to calculate a mean weight of adult dairy cattle in the UK based on on-farm data. Overall mean weight was higher than that most often proposed in the literature (600 kg). Evidence-informed weights are crucial as the UK works to better monitor and report metrics to measure antimicrobial use and are useful to farmers and veterinarians to inform dosing decisions.

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Data-Driven and Practice-Based Evidence

Medical Education and Ethics ◽

10.4018/978-1-5225-0978-3.ch018 ◽

2016 ◽

pp. 336-368

Author(s):

Hamzah Osop ◽

Tony Sahama

Keyword(s):

Data Warehouse ◽

Data Privacy ◽

Health Data ◽

Data Driven ◽

Systematic Research ◽

Evidence Based ◽

Patient Health ◽

Data Driven Approach ◽

The Right

Decision making is such an integral aspect in health care routine that the ability to make the right decisions at crucial moments can lead to patient health improvements. Evidence-based practice, the paradigm used to make those informed decisions, relies on the use of current best evidence from systematic research such as randomized controlled trials. Limitations of the outcomes from RCT, such as “quantity” and “quality” of evidence generated, has lowered healthcare professionals' confidence in using EBP. An alternate paradigm of Practice-Based Evidence has evolved with the key being evidence drawn from practice settings. Through the use of health information technology, electronic health records capture relevant clinical practice “evidence”. A data-driven approach is proposed to capitalize on the benefits of EHR. The issues of data privacy, security and integrity are diminished by an information accountability concept. Data warehouse architecture completes the data-driven approach by integrating health data from multi-source systems, unique within the healthcare environment.

Download Full-text