Difference between revisions of "HIPATCH"

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|ContactInformation=Antanas Verikas
 
|ContactInformation=Antanas Verikas
 
|ShortDescription=Halmstad Intelligent Patient-Centered Healthcare
 
|ShortDescription=Halmstad Intelligent Patient-Centered Healthcare
|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
 
|LogotypeFile=AI.jpg
 
|ProjectResponsible=Antanas Verikas
 
|ProjectResponsible=Antanas Verikas
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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}}
 
{{ShowProjectPublications}}

Revision as of 21:31, 22 October 2017



Halland Intelligent PATient-Centered Healthcare

HIPATCH
Project start:
3 October 2016
Project end:
30 September 2020
More info (PDF):
[[media: | pdf]]
Contact:
Awais Ashfaq
Application Area:
Healthcare Technology

Involved internal personnel
Involved external personnel
Involved partners

Abstract

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.