Hodges' Model: Welcome to the QUAD: aggregated

Hodges' model is a conceptual framework to support reflection and critical thinking. Situated, the model can help integrate all disciplines (academic and professional). Amid news items, are posts that illustrate the scope and application of the model. A bibliography and A4 template are provided in the sidebar. Welcome to the QUAD ...

Showing posts with label aggregated. Show all posts
Showing posts with label aggregated. Show all posts

Sunday, December 10, 2017

EHR Individual - Group: Aggregator

People probably look at Hodges' model and see something that is simplistic. There is a great power, however, in the scenarios that the structure of Hodges' model can readily encompass. Not just in the hospital, but across all care contexts.

"Where is the great value promised by the transition to EHR [Electronic Health Record]? Where is the huge surplus from all those lives saved? Without an actor who can find it, and deploy it to shift the doctors into surplus, nothing will happen. 
If the ecosystem* includes just the five traditional players, EHR will remain an academic dream. The answer, then, requires introducing a new player - an aggregator. Because the odds of mistakes are so low, the benefits of EHR are invisible to the individual patient. They become material only when we aggregate outcomes over a large enough number of patients. We need to find an actor whose surplus is affected by patients not as individuals but as a group, and who is able to both capture and distribute this benefit; insurers, health-care systems, and governments all fit the bill. And the larger the group, the larger the surplus." p.130.

*The ecosystem illustrated by Adner is simplified and includes:
Payer/ Insurer, IT Provider, Hospital Administration, Hospital Department, Doctor, Nurse, Patient
(I have added Nurse)

Adner, R. (2012). The Wide Lens: A New Strategy for Innovation. London: Portfolio/Penguin.

Saturday, December 02, 2017

Data, Information, Knowledge defined c/o McGonigle & Mastrian

Graves and Corcoran (1989) drew from Blum (1986) to define the three concepts as follows: (1) data are discrete entities described objectively without interpretation; (2) information is data that are interpreted, organised, or structured; and (3) knowledge is information that is synthesized so that relationships are identified and formalized. Drawing on this work, Nelson (1982, 2002) defined wisdom as the appropriate application of knowledge to the management and solution of human problems.  
Data, which are processed to create information and then knowledge, may be obtained from individuals, familes, communities, and populations and the environment in which they exist. Data, information, knowledge, and wisdom are of concern to nurses in all areas of practice. For example, data derived from direct care of an individual may then be compiled across persons and aggregated for decision making by nurses, nurse administrators, or other health professionals. Further aggregation may address communities and populations. Nurse educators may create case studies using these data, and nurse researchers may access aggregated data for systematic study. pp.97-98.

McGonigle, D., Mastrian, K.G. (2012) Nursing Informatics and the Foundation of Knowledge, Second Edition. Jones & Bartlett Learning, Burlington, MA.

Fourth edition: http://www.jblearning.com/catalog/9781284121247/

See also:
Jones, P. (1996) Humans, Information, and Science, Journal of Advanced Nursing, 24(3),591-598.