Difference between revisions of "Template:Article of the week"

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'''"[[Journal:Deployment of analytics into the healthcare safety net: Lessons learned|Deployment of analytics into the healthcare safety net: Lessons learned]]"'''
'''"[[Journal:Informatics metrics and measures for a smart public health systems approach: Information science perspective|Informatics metrics and measures for a smart public health systems approach: Information science perspective]]"'''


As payment reforms shift healthcare reimbursement toward value-based payment programs, providers need the capability to work with data of greater complexity, scope and scale. This will in many instances necessitate a change in understanding of the value of data and the types of data needed for analysis to support operations and clinical practice. It will also require the deployment of different infrastructure and analytic tools. [[Federally qualified health center|Community health centers]] (CHCs), which serve more than 25 million people and together form the nation’s largest single source of primary care for medically underserved communities and populations, are expanding and will need to optimize their capacity to leverage data as new payer and organizational models emerge.  
[[Public health informatics]] is an evolving domain in which practices constantly change to meet the demands of a highly complex public health and healthcare delivery system. Given the emergence of various concepts, such as learning health systems, smart health systems, and adaptive complex health systems, [[health informatics]] professionals would benefit from a common set of measures and capabilities to inform our modeling, measuring, and managing of health system “smartness.” Here, we introduce the concepts of organizational complexity, problem/issue complexity, and situational awareness as three codependent drivers of smart public health systems characteristics. We also propose seven smart public health systems measures and capabilities that are important in a public health informatics professional’s toolkit. ('''[[Journal:Informatics metrics and measures for a smart public health systems approach: Information science perspective|Full article...]]''')<br />
 
To better understand existing capacity and help organizations plan for the strategic and expanded uses of data, a project was initiated that deployed contemporary, Hadoop-based, analytic technology into several multi-site CHCs and a primary care association (PCA) with an affiliated data warehouse supporting health centers across the state. ('''[[Journal:Deployment of analytics into the healthcare safety net: Lessons learned|Full article...]]''')<br />
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''Recently featured'':  
''Recently featured'':  
: ▪ [[Journal:Deployment of analytics into the healthcare safety net: Lessons learned|Deployment of analytics into the healthcare safety net: Lessons learned]]
: ▪ [[Journal:The growing need for microservices in bioinformatics|The growing need for microservices in bioinformatics]]
: ▪ [[Journal:The growing need for microservices in bioinformatics|The growing need for microservices in bioinformatics]]
: ▪ [[Journal:Challenges and opportunities of big data in health care: A systematic review|Challenges and opportunities of big data in health care: A systematic review]]
: ▪ [[Journal:Challenges and opportunities of big data in health care: A systematic review|Challenges and opportunities of big data in health care: A systematic review]]
: ▪ [[Journal:The impact of electronic health record (EHR) interoperability on immunization information system (IIS) data quality|The impact of electronic health record (EHR) interoperability on immunization information system (IIS) data quality]]

Revision as of 17:23, 7 March 2017

Fig4 Carney CompMathMethMed2017.png

"Informatics metrics and measures for a smart public health systems approach: Information science perspective"

Public health informatics is an evolving domain in which practices constantly change to meet the demands of a highly complex public health and healthcare delivery system. Given the emergence of various concepts, such as learning health systems, smart health systems, and adaptive complex health systems, health informatics professionals would benefit from a common set of measures and capabilities to inform our modeling, measuring, and managing of health system “smartness.” Here, we introduce the concepts of organizational complexity, problem/issue complexity, and situational awareness as three codependent drivers of smart public health systems characteristics. We also propose seven smart public health systems measures and capabilities that are important in a public health informatics professional’s toolkit. (Full article...)

Recently featured:

Deployment of analytics into the healthcare safety net: Lessons learned
The growing need for microservices in bioinformatics
Challenges and opportunities of big data in health care: A systematic review