A Bio-Psycho-Social Review of Usability Methods and their Applications in Healthcare

2011 ◽  
pp. 1874-1899 ◽  
Author(s):  
Morgan Price

The purpose of this chapter is to provide the reader with an overview of several models and theories from the general HCI literature, highlighting models at three levels of focus: biomechanical interactions, individual-cognitive interactions, and social interactions. This chapter will also explore how these models were or could be applied to the design and evaluation of clinical information systems, such as electronic medical records and hospital information systems. Finally, it will conclude with how an understanding at each level compliments the other two in order to create a more complete understanding of the interactions of information systems in healthcare.

Author(s):  
Morgan Price

The purpose of this chapter is to provide the reader with an overview of several models and theories from the general HCI literature, highlighting models at three levels of focus: biomechanical interactions, individual-cognitive interactions, and social interactions. This chapter will also explore how these models were or could be applied to the design and evaluation of clinical information systems, such as electronic medical records and hospital information systems. Finally, it will conclude with how an understanding at each level compliments the other two in order to create a more complete understanding of the interactions of information systems in healthcare.


2017 ◽  
Vol 5 (3) ◽  
pp. e26 ◽  
Author(s):  
Zilma Silveira Nogueira Reis ◽  
Thais Abreu Maia ◽  
Milena Soriano Marcolino ◽  
Francisco Becerra-Posada ◽  
David Novillo-Ortiz ◽  
...  

2019 ◽  
Vol 28 (01) ◽  
pp. 083-094 ◽  
Author(s):  
Carlo Combi ◽  
Giuseppe Pozzi

Objectives: This survey aims at reviewing the literature related to Clinical Information Systems (CIS), Hospital Information Systems (HIS), Electronic Health Record (EHR) systems, and how collected data can be analyzed by Artificial Intelligence (AI) techniques. Methods: We selected the major journals (11 journals) collecting papers (more than 7,000) over the last five years from the top members of the research community, and read and analyzed the papers (more than 200) covering the topics. Then, we completed the analysis using search engines to also include papers from major conferences over the same five years. Results: We defined a taxonomy of major features and research areas of CIS, HIS, EHR systems. We also defined a taxonomy for the use of Artificial Intelligence (AI) techniques on healthcare data. In the light of these taxonomies, we report on the most relevant papers from the literature. Conclusions: We highlighted some major research directions and issues which seem to be promising and to need further investigations over a medium- or long-term period.


Proceedings ◽  
2019 ◽  
Vol 31 (1) ◽  
pp. 13
Author(s):  
Nielsen ◽  
Saavedra ◽  
Villarreal ◽  
Muñoz ◽  
Castillo

The existing technologies, systems, or models in the hospital system, in certain aspects have, in terms of integrity, difficulties in carrying out an adequate, systematic, and automated record of patient data. To this end, the electronic health records (EHR) have been designed to provide updated information to the entire health system. This document is one of the most important that exists within the hospital system throughout the country, and its main objective is the care, treatment, and monitoring of peoples’ health in a simple and conceptualized way. This article proposes the design of a flexible electronic health record system (FLEXEHR), integrating generic systems and totally flexible, based on web services so that different hospital information systems can be interconnected, thus creating a patient data gateway in an orderly and structured way, considering its availability, confidentiality, and integrity. In Panama, existing health systems have the disadvantage that they are not interoperable, which generates duplication of EHR according to the type of health entity visited.


2017 ◽  
Vol 5 (1) ◽  
pp. 122
Author(s):  
Assist. Prof. Dr. Demokaan DEMİREL

The distinctive quality of the new social structure is that information becomes the only factor of production. In today's organizations, public administrators are directly responsible for applying information to administrative processes. In addition to his managerial responsibilities, a knowledge based organization requires every employee to take responsibility for achieving efficiency. This has increased the importance of information systems in the decision-making process. Information systems consist of computer and communication technology, data base management and model management and include activity processing system, management information system, decision support systems, senior management information system, expert systems and office automation systems. Information systems in the health sector aim at the management and provision of preventive and curative health services. The use of information systems in healthcare has the benefits of increasing service quality, shortening treatment processes, maximizing efficiency of the time, labour and medical devices. The use of information systems for clinical decision making and reducing medical errors in the healthcare industry dates back to the 1960s. Clinical information systems involve processing, storing and re-accessing information that supports patient care in a hospital. Clinical information systems are systems that are directly or indirectly related to patient care. These systems include electronic health/patient records, clinical decision support systems, nurse information systems, patient tracking systems, tele-medicine, case mix and smart card applications. Diagnosis-treatment systems are information-based systems used in the diagnosis and treatment of diseases. It consists of laboratory information systems, picture archiving and communication system, pharmacy information system, radiology information system, nuclear medicine information system. This study aims to evaluate the effectiveness of health information system applications in Turkey. The first part of the study focuses on the concept of information systems and the types of information systems in organization structures. In the second part, clinical information systems and applications for diagnosis-treatment systems in Turkey are examined. Finally, the study evaluates applications in the health sector qualitatively from the new organizational structure, which is formed by information systems.


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