Blueprint: a scalable healthcare data strategy

Author:   Bonny P McClain
Publisher:   Createspace Independent Publishing Platform
ISBN:  

9781537038070


Pages:   36
Publication Date:   01 December 2016
Format:   Paperback
Availability:   Temporarily unavailable   Availability explained
The supplier advises that this item is temporarily unavailable. It will be ordered for you and placed on backorder. Once it does come back in stock, we will ship it out to you.

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Blueprint: a scalable healthcare data strategy


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Full Product Details

Author:   Bonny P McClain
Publisher:   Createspace Independent Publishing Platform
Imprint:   Createspace Independent Publishing Platform
Dimensions:   Width: 15.20cm , Height: 0.20cm , Length: 22.90cm
Weight:   0.082kg
ISBN:  

9781537038070


ISBN 10:   1537038079
Pages:   36
Publication Date:   01 December 2016
Audience:   General/trade ,  General
Format:   Paperback
Publisher's Status:   Active
Availability:   Temporarily unavailable   Availability explained
The supplier advises that this item is temporarily unavailable. It will be ordered for you and placed on backorder. Once it does come back in stock, we will ship it out to you.

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Bonny has been a professional published author reporting on topics reflective of a variety of stakeholder perspectives. We read about health literacy and initiatives to improve the understanding of complicated language reserved for discussing medicine. Patients are becoming shared-decision makers and we need to foster and clarify dialogue to improve the translation of research findings, health policy, medical education, and healthcare. Health literacy measures the ability to comprehend, evaluate, and negotiate the data to make informed healthcare decisions. Although we tend to think of health literacy as central to societal concerns, numeracy crosses both professional and patient populations. For example, peer-reviewed clinical research often discusses risk-benefit analyses without the clarification that risk is defined as both benefits and harms. How do we calculate the harms of treatment to arrive at an informed clinical decision central to the patient's best interests, values, and wishes? How does numeracy influence standard care? What does the data show us about screening healthy individuals upstream from actual medical necessity? What do the results in technical medical literature really tell us? Is the message scrambled by the media? We can't consistently blame the pharmaceutical industry. A scalable data plan from the patient, event, medical provider, payer, or hospital perspective can be a powerful resource for closing knowledge and practice gaps. I facilitate discussions about health policy, health economics, and clinical medicine informed by proprietary and non-proprietary data.

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