Arctic health-care architecture

The Lancet ◽  
2014 ◽  
Vol 384 (9946) ◽  
pp. 845 ◽  
Author(s):  
Colin Martin
Keyword(s):  
Health Care ◽  
Health Care Architecture

Fusion of Health Care Architecture for Predicting Vulnerable Diseases Using Automated Decision Support Systems

2019 ◽  
Vol 11 (2) ◽  
pp. 53-66
Author(s):  
Abirami L. ◽  
Karthikeyan J.
Keyword(s):  
Health Care ◽  
Decision Support ◽  
Decision Support Systems ◽  
Treatment Plan ◽  
Electronic Records ◽  
Healthcare Industry ◽  
History Of ◽  
Component Extraction ◽  
Health Care Architecture ◽  
The Ideal

The healthcare industry is a stage which is presented with tremendous innovative headways consistently. With the perfect learning of foundation data, writing, and proposed calculation, the proposition conveys engineering for supporting computerized choices to medicinal services organizations. Electronic records are constantly gathered and sorted out to give a point by point history of patients, their sicknesses and determination plans. From the acquired data, the virtual doctoring engine (VDE) endeavors to break down the discernible attributes from the datasets utilizing the known-yet-predict (KYP) calculation to propose an ideal finding plan. This treatment plan will later be directed by a specialist for treating the patients. The exhibition of VDE framework is tried against patients experiencing cardiovascular infections. This methodology has been examined against different component extraction calculations and observed to be 18.2% progressively exact in anticipating the ideal treatment plan.

scholarly journals COVID- 19 and Female Health-Care Workers: An Exploration of Challenges

2020 ◽  
Vol 8 (2) ◽  
Author(s):  
Shazaf Masood Sidhu
Keyword(s):  
Health Care ◽  
Gender Equity ◽  
Health Care Workers ◽  
Policy Planning ◽  
Male Health ◽  
Care Workers ◽  
Unpaid Leave ◽  
Multiple Challenges ◽  
Health Care Architecture ◽  
Depth Interviews

While the COVID-19 pandemic continues to surge unabated across the world, an important dimension to the entire health-care architecture is the challenge faced by female health-care workers. The risks and rigors involved in the care of Covid-19 patients are enormous both for female and male health-care workers and professionals. However, female health-care workers face more complex challenges like having to deal with work-life balance, inadequate representation in senior policy planning structures of health-care institutions and in many cases being at a disadvantageous position in situations of unpaid leave. This paper through in-depth interviews of female health-care workers will try to explore the multiple challenges they face and what can be done to ensure gender equity in the health-care architecture.

Fusion of Health Care Architecture for Predicting Vulnerable Diseases Using Automated Decision Support Systems

2021 ◽  
pp. 1076-1090
Author(s):  
Abirami L. ◽  
Karthikeyan J.
Keyword(s):  
Health Care ◽  
Decision Support ◽  
Decision Support Systems ◽  
Support Systems ◽  
Treatment Plan ◽  
Electronic Records ◽  
Healthcare Industry ◽  
History Of ◽  
Component Extraction ◽  
Health Care Architecture

The healthcare industry is a stage which is presented with tremendous innovative headways consistently. With the perfect learning of foundation data, writing, and proposed calculation, the proposition conveys engineering for supporting computerized choices to medicinal services organizations. Electronic records are constantly gathered and sorted out to give a point by point history of patients, their sicknesses and determination plans. From the acquired data, the virtual doctoring engine (VDE) endeavors to break down the discernible attributes from the datasets utilizing the known-yet-predict (KYP) calculation to propose an ideal finding plan. This treatment plan will later be directed by a specialist for treating the patients. The exhibition of VDE framework is tried against patients experiencing cardiovascular infections. This methodology has been examined against different component extraction calculations and observed to be 18.2% progressively exact in anticipating the ideal treatment plan.

Sign in / Sign up

Export Citation Format

Share Document