HIPATCH - Revision history

Slawek at 17:42, 23 October 2017

2017-10-23T17:42:30Z

Awaash at 07:00, 23 October 2017

2017-10-23T07:00:49Z

Awaash at 03:54, 23 October 2017

2017-10-23T03:54:11Z

Awaash at 03:52, 23 October 2017

2017-10-23T03:52:54Z

Awaash at 19:49, 22 October 2017

2017-10-22T19:49:05Z

Awaash at 19:41, 22 October 2017

2017-10-22T19:41:17Z

Awaash at 19:38, 22 October 2017

2017-10-22T19:38:56Z

Awaash at 19:31, 22 October 2017

2017-10-22T19:31:21Z

Awaash at 19:29, 22 October 2017

2017-10-22T19:29:58Z

Awaash: Created page with "{{ResearchProjInfo |Title=HIPATCH |ContactInformation=Antanas Verikas |ShortDescription=Halmstad Intelligent Patient-Centered Healthcare |Description= |LogotypeFile=AI.jpg |P..."

2017-10-22T19:11:32Z

Created page with "{{ResearchProjInfo |Title=HIPATCH |ContactInformation=Antanas Verikas |ShortDescription=Halmstad Intelligent Patient-Centered Healthcare |Description= |LogotypeFile=AI.jpg |P..."

New page

{{ResearchProjInfo
|Title=HIPATCH
|ContactInformation=Antanas Verikas
|ShortDescription=Halmstad Intelligent Patient-Centered Healthcare
|Description=
|LogotypeFile=AI.jpg
|ProjectResponsible=Antanas Verikas
|ProjectStart=2016/10/01
|ProjectEnd=2020/09/30
|ApplicationArea=Healthcare Technology
|Lctitle=No
}}
__NOTOC__
{{ShowResearchProject}}
Advancement in computing technologies and machine learning algorithms has enabled us to analyze big amounts of data to enhance the efficiency and productivity of businesses in every industry. Healthcare is no different. The recent decade has witnessed huge advances in the amount of medical data generated and stored in almost every domain in the healthcare sector. The primary purpose of Electronic Health Records (EHR) is to facilitate and improve individual patient care. In addition to it, EHRs today, also serve as a data center for clinical research to improve healthcare management, patient safety and clinical decision support.

{{ShowProjectPublications}}

@@ Line 1: / Line 1: @@
 {{ResearchProjInfo
 |Title=HIPATCH
-|ContactInformation=Antanas Verikas
+|ContactInformation=Awais Ashfaq
 |ShortDescription=Halland Intelligent PATient-Centered Healthcare
 |LogotypeFile=AI.jpg
@@ Line 23: / Line 23: @@
 Read views from people involved in the project here [https://www.hh.se/english/universitynews/news/reshapinghealthcarethroughartificialintelligence.65446507.html]
-Text by: Awais Ashfaq
+Text by [[Awais Ashfaq]]

← Older revision		Revision as of 19:41, 22 October 2017
Line 18:		Line 18:

	Managed by Affecto and owned by Region Halland, we use the Strategic Healthcare Analysis and Research Platform (SHARP) which is a unique integration of data sources from all levels of the care chain including measurements from primary care, ambulance, emergency care, inpatient care as well as the traditional EHR’s. This enables us to have a system’s approach to healthcare delivery which has shown to be an effective methodology to promote better health at a lower cost.		Managed by Affecto and owned by Region Halland, we use the Strategic Healthcare Analysis and Research Platform (SHARP) which is a unique integration of data sources from all levels of the care chain including measurements from primary care, ambulance, emergency care, inpatient care as well as the traditional EHR’s. This enables us to have a system’s approach to healthcare delivery which has shown to be an effective methodology to promote better health at a lower cost.
		+
		+	Read views from people involved in the project here [https://www.hh.se/english/universitynews/news/reshapinghealthcarethroughartificialintelligence.65446507.html]
		+
	{{ShowProjectPublications}}		{{ShowProjectPublications}}

@@ Line 2: / Line 2: @@
 |Title=HIPATCH
 |ContactInformation=Antanas Verikas
-|ShortDescription=Hallland Intelligent PAtienT-Centered Healthcare
+|ShortDescription=Hallland Intelligent PATient-Centered Healthcare
 |LogotypeFile=AI.jpg
 |ProjectResponsible=Antanas Verikas

@@ Line 15: / Line 15: @@
 __NOTOC__
 {{ShowResearchProject}}
 Advancement in computing technologies and machine learning algorithms has enabled us to analyze big amounts of data to enhance the efficiency and productivity of businesses in every industry. Healthcare is no different. The recent decade has witnessed huge advances in the amount of medical data generated and stored in almost every domain in the healthcare sector. The primary purpose of Electronic Health Records (EHR) is to facilitate and improve individual patient care. In addition to it, EHRs today, also serve as a data center for clinical research to improve healthcare management, patient safety and clinical decision support.
@@ Line 20: / Line 22: @@
 Read views from people involved in the project here [https://www.hh.se/english/universitynews/news/reshapinghealthcarethroughartificialintelligence.65446507.html]
 {{ShowProjectPublications}}

@@ Line 3: / Line 3: @@
 |ContactInformation=Antanas Verikas
 |ShortDescription=Halmstad Intelligent Patient-Centered Healthcare
-|Description=
+|Description= Advancement in computing technologies and machine learning algorithms has enabled us to analyze big amounts of data to enhance the efficiency and productivity of businesses in every industry. Healthcare is no different. The recent decade has witnessed huge advances in the amount of medical data generated and stored in almost every domain in the healthcare sector. The primary purpose of Electronic Health Records (EHR) is to facilitate and improve individual patient care. In addition to it, EHRs today, also serve as a data center for clinical research to improve healthcare management, patient safety and clinical decision support.
 |LogotypeFile=AI.jpg
 |ProjectResponsible=Antanas Verikas
-|ProjectStart=2016/10/01
+|ProjectStart=2016/10/03
 |ProjectEnd=2020/09/30
 |ApplicationArea=Healthcare Technology
 |Lctitle=No
 }}
 __NOTOC__
 {{ShowResearchProject}}
 {{ShowProjectPublications}}