Archive:Health care analytics - Revision history

wikademia>Wikademia: moved Health care analytics to Archive:Health care analytics

2009-06-12T07:57:37Z

moved Health care analytics to Archive:Health care analytics

← Older revision	Revision as of 07:57, 12 June 2009
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wikademia>Wikademia at 16:46, 25 April 2009

2009-04-25T16:46:04Z

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	'''Health care analytics''' is a rapidly evolving field of health care business solutions that makes extensive use of data, statistical and qualitative analysis, explanatory and [[predictive modeling]].<ref>Galit Schmueli and Otto Koppius</ref>		'''Health care analytics''' is a rapidly evolving field of health care business solutions that makes extensive use of data, statistical and qualitative analysis, explanatory and [[predictive modeling]].<ref>Galit Schmueli and Otto Koppius</ref>
			{{ntnes}}
	== Theory ==		== Theory ==
	"Predictive vs. Explanatory Modeling in IS Research", and patient health information to drive medical decision making. The breadth of digital data available through point-of-care encounters, medical claims, pharmacy claims, lab values, HRAs, genetic markers, and biometrics has resulted in an increase in the capabilities of traditional analytical tools. This data is combined with medical guidelines and patient profiles to reveal contraindicated care, gaps in care, and opportunities for cost savings. John-David Lovelock, Research VP at Gartner, called health care analytics 'the first step in improving the overall efficiency of hospitals.'<ref> http://wistechnology.com/articles/4599/</ref>		"Predictive vs. Explanatory Modeling in IS Research", and patient health information to drive medical decision making. The breadth of digital data available through point-of-care encounters, medical claims, pharmacy claims, lab values, HRAs, genetic markers, and biometrics has resulted in an increase in the capabilities of traditional analytical tools. This data is combined with medical guidelines and patient profiles to reveal contraindicated care, gaps in care, and opportunities for cost savings. John-David Lovelock, Research VP at Gartner, called health care analytics 'the first step in improving the overall efficiency of hospitals.'<ref> http://wistechnology.com/articles/4599/</ref>

wikademia>Wikademia: 7 revisions

2009-04-25T16:45:31Z

7 revisions

← Older revision	Revision as of 16:45, 25 April 2009
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wikademia>Calliopejen1 at 02:37, 25 April 2009

2009-04-25T02:37:40Z

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	<!--Please do not overload this section; see [[Wikipedia:External links]] for instructions which links may be included-->		<!--Please do not overload this section; see [[Wikipedia:External links]] for instructions which links may be included-->

			[[Category:Data analysis]]
	~~{{uncategorized\|date=April 2009}}~~		[[Category:Biostatistics]]

wikademia>Ttonyb1: Added {{uncategorized}} tag to article. using Friendly

2009-04-24T21:00:03Z

Added {{uncategorized}} tag to article. using Friendly

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	* [http://wistechnology.com/articles/4599/ “Will business intelligence tools become healthcare analytics solutions?” ]		* [http://wistechnology.com/articles/4599/ “Will business intelligence tools become healthcare analytics solutions?” ]
	<!--Please do not overload this section; see [[Wikipedia:External links]] for instructions which links may be included-->		<!--Please do not overload this section; see [[Wikipedia:External links]] for instructions which links may be included-->


			{{uncategorized\|date=April 2009}}

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2009-04-24T20:59:24Z

period

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	'''Health care analytics''' is a rapidly evolving field of health care business solutions that makes extensive use of data, statistical and qualitative analysis, explanatory and [[predictive modeling]]<ref>Galit Schmueli and Otto Koppius.</ref>		'''Health care analytics''' is a rapidly evolving field of health care business solutions that makes extensive use of data, statistical and qualitative analysis, explanatory and [[predictive modeling]].<ref>Galit Schmueli and Otto Koppius</ref>

	== Theory ==		== Theory ==

wikademia>Ttonyb1: Fixed ref

2009-04-24T20:59:04Z

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	'''Health care analytics''' is a rapidly evolving field of health care business solutions that makes extensive use of data, statistical and qualitative analysis, explanatory and [[predictive modeling]]<ref>Galit Schmueli and Otto Koppius.		'''Health care analytics''' is a rapidly evolving field of health care business solutions that makes extensive use of data, statistical and qualitative analysis, explanatory and [[predictive modeling]]<ref>Galit Schmueli and Otto Koppius.</ref>

	== Theory ==		== Theory ==

wikademia>Ttonyb1: Copyedits

2009-04-24T20:58:33Z

Copyedits

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	== Theory ==		== Theory ==
	"Predictive vs. Explanatory Modeling in IS Research"~~</ref>~~, and patient health information to drive medical decision making. The breadth of digital data available through point-of-care encounters, medical claims, pharmacy claims, lab values, HRAs, genetic markers, and biometrics has resulted in an increase in the capabilities of traditional analytical tools. This data is combined with medical guidelines and patient profiles to reveal contraindicated care, gaps in care, and opportunities for cost savings. John-David Lovelock, Research VP at Gartner, called health care analytics ~~“the~~ first step in improving the overall efficiency of hospitals.<ref> http://wistechnology.com/articles/4599/</ref>”		"Predictive vs. Explanatory Modeling in IS Research", and patient health information to drive medical decision making. The breadth of digital data available through point-of-care encounters, medical claims, pharmacy claims, lab values, HRAs, genetic markers, and biometrics has resulted in an increase in the capabilities of traditional analytical tools. This data is combined with medical guidelines and patient profiles to reveal contraindicated care, gaps in care, and opportunities for cost savings. John-David Lovelock, Research VP at Gartner, called health care analytics 'the first step in improving the overall efficiency of hospitals.'<ref> http://wistechnology.com/articles/4599/</ref>

	==Real-time Health Care Analytics==		==Real-time Health Care Analytics==
	Currently the most prevalent application for '''real-time health care analytics''' is within [[clinical decision support]] (CDS) system solutions. These programs analyze clinical information at the point of care and support health providers as they make prescriptive decisions. These real-time systems are “active knowledge systems, which use two or more items of patient data to generate case-specific advice.” <ref>"Decision support systems." 26 July 2005. 17 Feb. 2009 http://www.openclinical.org/dss.html</ref>		Currently the most prevalent application for '''real-time health care analytics''' is within [[clinical decision support]] (CDS) system solutions. These programs analyze clinical information at the point of care and support health providers as they make prescriptive decisions. These real-time systems are “active knowledge systems, which use two or more items of patient data to generate case-specific advice.”<ref>"Decision support systems." 26 July 2005. 17 Feb. 2009 http://www.openclinical.org/dss.html</ref>

	==Batch Health Care Analytics==		==Batch Health Care Analytics==
	~~'''~~Batch health care analytics~~'''~~ is a technical application that retrospectively evaluates population data sets (i.e. records of patients in a large medical system, or claims data from an insured population). These evaluations can be used to supplement [[disease management]] or [[population health management]] efforts.		Batch health care analytics is a technical application that retrospectively evaluates population data sets (i.e. records of patients in a large medical system, or claims data from an insured population). These evaluations can be used to supplement [[disease management]] or [[population health management]] efforts.

	A benefit of batch health care analytics is the use of "predictive modeling across multiple clinical conditions <ref>Howe, Rufus, and Christopher Spence. Population health management: Healthways' PopWorks. HCT Project 2004-07-17, volume 2, chapter 5, pages 291-297. Retrieved 2008-10-12.</ref>. This process can identify undiagnosed conditions for patients within an insurer's patient population, or suggest interventions to prevent conditions from developing.		A benefit of batch health care analytics is the use of "predictive modeling across multiple clinical conditions <ref>Howe, Rufus, and Christopher Spence. Population health management: Healthways' PopWorks. HCT Project 2004-07-17, volume 2, chapter 5, pages 291-297. Retrieved 2008-10-12.</ref>. This process can identify undiagnosed conditions for patients within an insurer's patient population, or suggest interventions to prevent conditions from developing.

wikademia>Ttonyb1 at 20:57, 24 April 2009

2009-04-24T20:57:06Z

← Older revision		Revision as of 20:57, 24 April 2009
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	~~=Health Care Analytics=~~		'''Health care analytics''' is a rapidly evolving field of health care business solutions that makes extensive use of data, statistical and qualitative analysis, explanatory and [[predictive modeling]]<ref>Galit Schmueli and Otto Koppius.
	'''Health care analytics''' is a rapidly evolving field of health care business solutions that makes extensive use of data, statistical and qualitative analysis, explanatory and [[predictive modeling]]<ref>Galit Schmueli and Otto Koppius. "Predictive vs. Explanatory Modeling in IS Research"</ref>, and patient health information to drive medical decision making. The breadth of digital data available through point-of-care encounters, medical claims, pharmacy claims, lab values, HRAs, genetic markers, and biometrics has resulted in an increase in the capabilities of traditional analytical tools. This data is combined with medical guidelines and patient profiles to reveal contraindicated care, gaps in care, and opportunities for cost savings. John-David Lovelock, Research VP at Gartner, called health care analytics “the first step in improving the overall efficiency of hospitals.<ref> http://wistechnology.com/articles/4599/</ref>”
			== Theory ==
			"Predictive vs. Explanatory Modeling in IS Research"</ref>, and patient health information to drive medical decision making. The breadth of digital data available through point-of-care encounters, medical claims, pharmacy claims, lab values, HRAs, genetic markers, and biometrics has resulted in an increase in the capabilities of traditional analytical tools. This data is combined with medical guidelines and patient profiles to reveal contraindicated care, gaps in care, and opportunities for cost savings. John-David Lovelock, Research VP at Gartner, called health care analytics “the first step in improving the overall efficiency of hospitals.<ref> http://wistechnology.com/articles/4599/</ref>”

	==Real-time Health Care Analytics==		==Real-time Health Care Analytics==

wikademia>Dherman652: ←Created page with '=Health Care Analytics= '''Health care analytics''' is a rapidly evolving field of health care business solutions that makes extensive use of data, statistical and …'

2009-04-24T19:49:45Z

←Created page with '=Health Care Analytics= '''Health care analytics''' is a rapidly evolving field of health care business solutions that makes extensive use of data, statistical and …'

New page

=Health Care Analytics=
'''Health care analytics''' is a rapidly evolving field of health care business solutions that makes extensive use of data, statistical and qualitative analysis, explanatory and [[predictive modeling]]<ref>Galit Schmueli and Otto Koppius. "Predictive vs. Explanatory Modeling in IS Research"</ref>, and patient health information to drive medical decision making. The breadth of digital data available through point-of-care encounters, medical claims, pharmacy claims, lab values, HRAs, genetic markers, and biometrics has resulted in an increase in the capabilities of traditional analytical tools. This data is combined with medical guidelines and patient profiles to reveal contraindicated care, gaps in care, and opportunities for cost savings. John-David Lovelock, Research VP at Gartner, called health care analytics “the first step in improving the overall efficiency of hospitals.<ref> http://wistechnology.com/articles/4599/</ref>”

==Real-time Health Care Analytics==
Currently the most prevalent application for '''real-time health care analytics''' is within [[clinical decision support]] (CDS) system solutions. These programs analyze clinical information at the point of care and support health providers as they make prescriptive decisions. These real-time systems are “active knowledge systems, which use two or more items of patient data to generate case-specific advice.” <ref>"Decision support systems." 26 July 2005. 17 Feb. 2009 http://www.openclinical.org/dss.html</ref>

==Batch Health Care Analytics==
'''Batch health care analytics''' is a technical application that retrospectively evaluates population data sets (i.e. records of patients in a large medical system, or claims data from an insured population). These evaluations can be used to supplement [[disease management]] or [[population health management]] efforts.

A benefit of batch health care analytics is the use of "predictive modeling across multiple clinical conditions <ref>Howe, Rufus, and Christopher Spence. Population health management: Healthways' PopWorks. HCT Project 2004-07-17, volume 2, chapter 5, pages 291-297. Retrieved 2008-10-12.</ref>. This process can identify undiagnosed conditions for patients within an insurer's patient population, or suggest interventions to prevent conditions from developing.

==Future of Health Care Analytics==
The application of analytical tools is growing within the health care marketplace. As more data is available digitally, solutions to benefits the clinical and financial aspects of health care delivery are being developed.

==References==
{{reflist|2}}

==External links==

* [http://wistechnology.com/articles/4599/ “Will business intelligence tools become healthcare analytics solutions?” ]