Personal Health: The New Paradigm to Make Sustainable the Health Care System

2011 ◽  
pp. 3-11 ◽  
Author(s):  
Vicente Traver ◽  
Raquel Faubel
Keyword(s):  
Health Care ◽  
Health Care System ◽  
Personal Health ◽  
New Paradigm ◽  
Care System

scholarly journals Management strategy of healthcare organizations. PDRQ–9 method

2021 ◽  
pp. 243-248
Author(s):  
Ch. E. Karibdzhanov
Keyword(s):  
Health Care ◽  
Health Care System ◽  
Health Care Research ◽  
New Paradigm ◽  
Healthcare Organizations ◽  
Patient Centered ◽  
Brief Assessment ◽  
Centered Care ◽  
Physician Relationship ◽  
Care System

The main source of success for a customer-centric organization is the ability to identify its customers, identify their needs, and use that information to develop a customer-centric strategy. In this regard, there is a widespread change in attitudes toward the construction of management in organizations. Whereas previously the competitiveness of an organization could be measured by its financial performance, now the intellectual potential of an organization is at the forefront. As the role of the patient in the health care system has intensified, the importance of patient participation has received increasing attention and has become central to health care research. In this regard, in today’s environment, the foundation of success in the treatment and delivery of professional care in medicine is primarily the degree of patient satisfaction. Patient-centered care acts as a new paradigm for the development of the health care system, which is characterized by a shift in the center of gravity to the patient. In this regard, in the field of health care, the relationship between the patient and the doctor, as perceived by the patient, is one of the main elements of the methodology of scientific research. The purpose of this article is to review and analyze the results of the PDRQ–9, which assesses the patient-physician relationship. The PDRQ–9 provides researchers with a brief assessment of the therapeutic aspects of the patient-physician relationship in the primary care setting. It is a valuable tool for research and practice purposes that includes monitoring the patient-doctor relationship.

scholarly journals Mobile Personal Health Care System for Noninvasive, Pervasive, and Continuous Blood Pressure Monitoring: Development and Usability Study

10.2196/18012 ◽  
2020 ◽  
Vol 8 (7) ◽  
pp. e18012
Author(s):  
Luis J Mena ◽  
Vanessa G Félix ◽  
Rodolfo Ostos ◽  
Armando J González ◽  
Rafael Martínez-Peláez ◽  
...  
Keyword(s):  
Blood Pressure ◽  
Health Care ◽  
Health Care System ◽  
Blood Pressure Monitoring ◽  
Cost Effective ◽  
Machine Learning Techniques ◽  
Personal Health ◽  
Usability Study ◽  
British Hypertension Society ◽  
Care System

Background Smartphone-based blood pressure (BP) monitoring using photoplethysmography (PPG) technology has emerged as a promising approach to empower users with self-monitoring for effective diagnosis and control of hypertension. Objective This study aimed to develop a mobile personal health care system for noninvasive, pervasive, and continuous estimation of BP level and variability, which is user friendly for elderly people. Methods The proposed approach was integrated by a self-designed cuffless, calibration-free, wireless, and wearable PPG-only sensor and a native purposely designed smartphone app using multilayer perceptron machine learning techniques from raw signals. We performed a development and usability study with three older adults (mean age 61.3 years, SD 1.5 years; 66% women) to test the usability and accuracy of the smartphone-based BP monitor. Results The employed artificial neural network model had good average accuracy (>90%) and very strong correlation (>0.90) (P<.001) for predicting the reference BP values of our validation sample (n=150). Bland-Altman plots showed that most of the errors for BP prediction were less than 10 mmHg. However, according to the Association for the Advancement of Medical Instrumentation and British Hypertension Society standards, only diastolic blood pressure prediction met the clinically accepted accuracy thresholds. Conclusions With further development and validation, the proposed system could provide a cost-effective strategy to improve the quality and coverage of health care, particularly in rural zones, areas lacking physicians, and areas with solitary elderly populations.

The Health Care System: A New Paradigm

2004 ◽  
Vol 39 (18) ◽  
pp. 19-19
Author(s):  
Rapheal Rovere ◽  
Jonathan Weker
Keyword(s):  
Health Care ◽  
Health Care System ◽  
New Paradigm ◽  
System A ◽  
Care System

scholarly journals De-Identified Personal Health Care System Using Hadoop

2015 ◽  
Vol 5 (6) ◽  
pp. 1492 ◽  
Author(s):  
Dasari Madhavi ◽  
B.V. Ramana
Keyword(s):  
Health Care ◽  
Big Data ◽  
Health Information ◽  
Health Care System ◽  
Demographic Data ◽  
Data File ◽  
Personal Health Information ◽  
Map Reduce ◽  
Personal Health ◽  
Care System

Hadoop technology plays a vital role in improving the quality of healthcare by delivering right information to right people at right time and reduces its cost and time. Most properly health care functions like admission, discharge, and transfer patient data maintained in Computer based Patient Records (CPR), Personal Health Information (PHI), and Electronic Health Records (EHR). The use of medical Big Data is increasingly popular in health care services and clinical research. The biggest challenges in health care centers are the huge amount of data flows into the systems daily. Crunching this Big Data and de-identifying it in a traditional data mining tools had problems. Therefore to provide solution to the de-identifying personal health information, Map Reduce application uses jar files which contain a combination of MR code and PIG queries. This application also uses advanced mechanism of using UDF (User Data File) which is used to protect the health care dataset. De-identified personal health care system is using Map Reduce, Pig Queries which are needed to be executed on the health care dataset. The application input dataset that contains the information of patients and de-identifies their personal health care.  De-identification using Hadoop is also suitable for social and demographic data.

scholarly journals Mobile Personal Health Care System for Noninvasive, Pervasive, and Continuous Blood Pressure Monitoring: Development and Usability Study (Preprint)

2020 ◽  
Author(s):  
Luis J Mena ◽  
Vanessa G Félix ◽  
Rodolfo Ostos ◽  
Armando J González ◽  
Rafael Martínez-Peláez ◽  
...  
Keyword(s):  
Blood Pressure ◽  
Health Care ◽  
Health Care System ◽  
Blood Pressure Monitoring ◽  
Cost Effective ◽  
Machine Learning Techniques ◽  
Personal Health ◽  
Usability Study ◽  
British Hypertension Society ◽  
Care System

BACKGROUND Smartphone-based blood pressure (BP) monitoring using photoplethysmography (PPG) technology has emerged as a promising approach to empower users with self-monitoring for effective diagnosis and control of hypertension. OBJECTIVE This study aimed to develop a mobile personal health care system for noninvasive, pervasive, and continuous estimation of BP level and variability, which is user friendly for elderly people. METHODS The proposed approach was integrated by a self-designed cuffless, calibration-free, wireless, and wearable PPG-only sensor and a native purposely designed smartphone app using multilayer perceptron machine learning techniques from raw signals. We performed a development and usability study with three older adults (mean age 61.3 years, SD 1.5 years; 66% women) to test the usability and accuracy of the smartphone-based BP monitor. RESULTS The employed artificial neural network model had good average accuracy (&gt;90%) and very strong correlation (&gt;0.90) (<i>P</i>&lt;.001) for predicting the reference BP values of our validation sample (n=150). Bland-Altman plots showed that most of the errors for BP prediction were less than 10 mmHg. However, according to the Association for the Advancement of Medical Instrumentation and British Hypertension Society standards, only diastolic blood pressure prediction met the clinically accepted accuracy thresholds. CONCLUSIONS With further development and validation, the proposed system could provide a cost-effective strategy to improve the quality and coverage of health care, particularly in rural zones, areas lacking physicians, and areas with solitary elderly populations.

Mobile Personal Health Care System for Patients with Diabetes

2010 ◽  
pp. 94-101 ◽  
Author(s):  
Fuchao Zhou ◽  
Hen-I Yang ◽  
José M. Reyes Álamo ◽  
Johnny S. Wong ◽  
Carl K. Chang
Keyword(s):  
Health Care ◽  
Health Care System ◽  
Personal Health ◽  
Patients With Diabetes ◽  
Care System

scholarly journals PERSONAL HEALTH-CARE SYSTEM.

2017 ◽  
Vol 5 (3) ◽  
pp. 1277-1280
Author(s):  
Shrijeeb Ghosh ◽  
◽  
Nikita Natesan ◽  
Disha Ware ◽  
Dhiraj Bhagwat. ◽  
...  
Keyword(s):  
Health Care ◽  
Health Care System ◽  
Personal Health ◽  
Care System
Sign in / Sign up

Export Citation Format

Share Document