scholarly journals Impact of Health Information Systems on Organizational Health Communication and Behavior

2011 ◽  
Author(s):  
Vibha Kumar
Keyword(s):  
Information Systems ◽  
Health Information ◽  
Communication Technologies ◽  
Health Information Systems ◽  
Handheld Computers ◽  
Great Promise ◽  
Health Records ◽  
Electronic Alerts ◽  
Health Related ◽  
Electronic Health

Information is critical in making health-related decisions. New communication technologies show great promise in providing ways to develop and deliver changes in health behaviors. The behavioral and communication changes in consumers, patients, providers, and organizations are being noticed at individual, community, and organizational levels due to innovations in electronic health information systems, such as personal health records (PHRs), electronic medical records (EMRs), and electronic health records (EHRs). The noted behavioral/communication changes include improved quality patient care; easy, accurate, and quick information retrieval; rapid information sharing; quick decision making; reduced medical errors due to electronic alerts; increased storage of data and records electronically; and improved information screening and reporting. Literature was reviewed using Pub Med and an internet search. RogerIn recent years, new developments have resulted in the rapid growth of communication technologies such as computer software, the Internet, email, mobile telephones, information systems, and handheld computers. Previously, computer use was predominantly available in high-level government agencies, research laboratories, and large companies. Today, computers and advanced technologies in connection with health data are the new way to manage diseases. Hospitals, healthcare organizations, health departments, and small healthcare facilities, are adopting health information systems and average citizens are using computers to access health-related information. User interfaces have improved and are being interactive with other information systems. The rate of adoption continues to increase as technology becomes cheaper and more accessible. This article discusses the effect of innovation in health information technology on the public

scholarly journals Consumer Informatics:

2011 ◽  
Vol 20 (01) ◽  
pp. 142-145
Author(s):  
C. Boyer ◽  
Keyword(s):  
Information Systems ◽  
Health Information ◽  
Negative Impact ◽  
Quality Standards ◽  
Health Information Systems ◽  
The Internet ◽  
Online Health Information ◽  
Health Related ◽  
Consumer Informatics ◽  
Source Of Information

SummaryTo explore how the Internet is being used as a source of information, but also as a source of consumption in certain health-related fields. Determine the negative and positive impacts of this trend, depending on the topic or quality standards of websites.Synopsis of the articles selected for the IMIA Yearbook 2011.Six papers from international peer reviewed journals have been selected for the section on health information systems.The articles selected discuss issues of major concern for online health information seekers, because of their positive or negative impact on health outputs.

Information Security Standards for Health Information Systems

2011 ◽  
pp. 113-145
Author(s):  
Evangelos Kotsonis ◽  
Stelios Eliakis
Keyword(s):  
Health Care ◽  
Information Systems ◽  
Information Security ◽  
Health Information ◽  
Health Care Organization ◽  
Security Management ◽  
Health Information Systems ◽  
Care Organization ◽  
Information Security Management ◽  
Health Related

Current developments in the field of integrated treatment show the need for IS security approaches within the healthcare domain. Health information systems are called to meet unique demands to remain operational in the face of natural disasters, system failures and denial-of-service attacks. At the same time, the data contained in health information systems are strictly confidential and, due to the ethical, judicial and social implications in case of data loss, health related data require extremely sensitive handling. The purpose of this chapter is to provide an overview of information security management standards in the context of health care information systems and focus on the most widely accepted ISO/IEC 27000 family of standards for information security management. In the end of the chapter, a guide to develop a complete and robust information security management system for a health care organization will be provided, by mentioning special implications that are met in a health care organization, as well as special considerations related to health related web applications. This guide will be based on special requirements of ISO/IEC 27799:2008 (Health informatics — Information security management in health using ISO/IEC 27002).

scholarly journals A Provable and Secure Patient Electronic Health Record Fair Exchange Scheme for Health Information Systems

2021 ◽  
Vol 11 (5) ◽  
pp. 2401
Author(s):  
Ming-Te Chen ◽  
Tsung-Hung Lin
Keyword(s):  
Information Systems ◽  
Health Information ◽  
Personal Information ◽  
Health Information Systems ◽  
Fair Exchange ◽  
Certification Authority ◽  
Session Key ◽  
Help Desk ◽  
Patient Will ◽  
Electronic Health

In recent years, several hospitals have begun using health information systems to maintain electronic health records (EHRs) for each patient. Traditionally, when a patient visits a new hospital for the first time, the hospital’s help desk asks them to fill in relevant personal information on a piece of paper and verifies their identity on the spot. This patient will find that many of her personal electronic records are in many hospital’s health information systems that she visited in the past, and each EHR in these hospital’s information systems cannot be accessed or shared between these hospitals. This is inconvenient because this patient will again have to provide their personal information. This is time-consuming and not practical. Therefore, in this paper, we propose a practical and provable patient EHR fair exchange scheme for each patient. In this scheme, each patient can securely delegate the information system of a current hospital to a hospital certification authority (HCA) to apply migration evidence that can be used to transfer their EHR to another hospital. The delegated system can also establish a session key with other hospital systems for later data transmission, and each patient can protect their anonymity with the help of the HCA. Additionally, we also provide formal security proofs for forward secrecy and functional comparisons with other schemes.

scholarly journals Data Incompleteness Preventing Information Communication from Hospital Information Systems to the Iranian National Electronic Health Record (SEPAS)

2021 ◽  
Vol 10 (1) ◽  
pp. 97
Author(s):  
Reza Abbasi ◽  
Reza Khajouei ◽  
Monireh Sadeghi Jabali ◽  
Moghadameh Mirzaei
Keyword(s):  
Information System ◽  
Information Systems ◽  
Electronic Health Record ◽  
Health Information ◽  
Information Quality ◽  
Clinical Information ◽  
Health Information Systems ◽  
Hospital Information Systems ◽  
Health Record ◽  
Electronic Health

Introduction: One of the well-known problems related to the information quality is the information incompleteness in health information systems. The purpose of this study was to investigate the completeness rate of patients’ information recorded in the hospital information system, sending information from which to Iranian electronic health record system (SEPAS) seemed to be unsuccessful.Methods: This study was conducted in six hospitals associated with Kerman University of Medical Sciences (KUMS) in Iran. In this study, 882 records which had failed to be sent from three hospital information systems to SEPAS were reviewed and the data were collected using a checklist. Data were analyzed using the descriptive and inferential statistics with SPSS.18.Results: A total of 18758 demographic and clinical information elements were examined. The rate of completeness was 55%. The highest completeness rate of demographic information was related to name, surname, gender, nationality, date of birth, father's name, marital status, place of residence, telephone number (79-100%), and in clinical information it was related to the final diagnosis (74%). The completeness rate of some information elements was significantly different among the hospitals (p <0.05). The completeness rate of information communicated to the Iranian national electronic health record was at a moderate level.Conclusion: This study showed that completeness rate is different among hospitals using the same hospital information system. The results of this study can help the health policymakers and developers of the national electronic health record in developing countries to improve completeness rate and also information quality in health information systems.

scholarly journals Most Influential Qualities in Creating Satisfaction Among the Users of Health Information Systems: Study in Seven European Union Countries (Preprint)

2018 ◽  
Author(s):  
Shahryar Eivazzadeh ◽  
Johan S Berglund ◽  
Tobias C Larsson ◽  
Markus Fiedler ◽  
Peter Anderberg
Keyword(s):  
European Union ◽  
Information Systems ◽  
Health Information ◽  
User Satisfaction ◽  
Health Information Systems ◽  
Evaluation Framework ◽  
Equation Modeling ◽  
Satisfaction Index ◽  
Quality Aspects ◽  
Electronic Health

BACKGROUND Several models suggest how the qualities of a product or service influence user satisfaction. Models such as the Customer Satisfaction Index (CSI), Technology Acceptance Model (TAM), and Delone and McLean Information Systems Success demonstrate those relations and have been used in the context of health information systems. OBJECTIVE This study aimed to investigate which qualities foster greater satisfaction among patient and professional users. In addition, we are interested in knowing to what extent improvement in those qualities can explain user satisfaction and whether this makes user satisfaction a proxy indicator of those qualities. METHODS The Unified eValuation using ONtology (UVON) method was used to construct an ontology of the required qualities for 7 electronic health (eHealth) apps being developed in the Future Internet Social and Technological Alignment Research (FI-STAR) project, a European Union (EU) project in electronic health (eHealth). The eHealth apps were deployed across 7 EU countries. The ontology included and unified the required qualities of those systems together with the aspects suggested by the Model for ASsessment of Telemedicine apps (MAST) evaluation framework. Moreover, 2 similar questionnaires for 87 patient users and 31 health professional users were elicited from the ontology. In the questionnaires, the user was asked if the system has improved the specified qualities and if the user was satisfied with the system. The results were analyzed using Kendall correlation coefficients matrices, incorporating the quality and satisfaction aspects. For the next step, 2 partial least squares structural equation modeling (PLS-SEM) path models were developed using the quality and satisfaction measure variables and the latent construct variables that were suggested by the UVON method. RESULTS Most of the quality aspects grouped by the UVON method are highly correlated. Strong correlations in each group suggest that the grouped qualities can be measures that reflect a latent quality construct. The PLS-SEM path analysis for the patients reveals that the effectiveness, safety, and efficiency of treatment provided by the system are the most influential qualities in achieving and predicting user satisfaction. For the professional users, effectiveness and affordability are the most influential. The parameters of the PLS-SEM that are calculated allow for the measurement of a user satisfaction index similar to CSI for similar health information systems. CONCLUSIONS For both patients and professionals, the effectiveness of systems highly contributes to their satisfaction. Patients care about improvements in safety and efficiency, whereas professionals care about improvements in the affordability of treatments with health information systems. User satisfaction is reflected more in the users’ evaluation of system output and fulfillment of expectations but slightly less in how far the system is from ideal. Investigating satisfaction scores can be a simple and fast way to infer if the system has improved the abovementioned qualities in treatment and care.

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