A Comparison of Modern Frameworks for the Development of Interoperable Healthcare Information Systems

2020 ◽  
Author(s):  
Julio C. G. Pimentel ◽  
Eric C. Pimentel ◽  
Son Dao
Keyword(s):  
Goal Setting ◽  
Industry 4.0 ◽  
Closed Loop ◽  
Healthcare Industry ◽  
Clinical Environment ◽  
Healthcare Information ◽  
Healthcare Information Systems ◽  
Healthcare Information System ◽  
Strong Consensus ◽  
Physiological Systems

Abstract Despite the strong consensus behind the need for an interoperable Healthcare Information System (HIS), the universal acceptance of a standard HIS framework has advanced very little and is yet to become a market reality. In an effort to advance this endeavor, this work provides a systematic comparison regarding two of the most relevant HIS frameworks recently proposed: The Integrated Clinical Environment (ICE) and the Healthcare Industry 4.0 Framework. The paper analyzes their differences and similarities and proposes a minimum set of requirements for prospective interoperable HIS architectures compliant with the Industry 4.0 design principles, goal-setting pillars, as well as support for closed-loop physiological systems. Finally, the paper discusses future works in the field.

scholarly journals The Barriers and Facilitators to the Adoption of New Technologies in Public Healthcare Sector: A Qualitative Investigation

2016 ◽  
Vol 12 (1) ◽  
pp. 159 ◽  
Author(s):  
Waleed KH Mohamed AL-Hadban ◽  
Shafiz Affendi Mohd Yusof ◽  
Kamarul Faizal Hashim
Keyword(s):  
Information Systems ◽  
New Technologies ◽  
Healthcare Sector ◽  
Public Healthcare ◽  
Structured Interviews ◽  
Healthcare Information ◽  
Healthcare Information Systems ◽  
Healthcare Information System ◽  
Public Healthcare Sector ◽  
Healthcare Practice

The use of new technologies and information systems within healthcare practice provides several advantages and functionalities for healthcare institutions. However, the use of these advanced technologies is not an easy task and the literature has documented several cases of resistance to adopting such technologies by the healthcare staff. Furthermore, governmental reports stated that Iraq healthcare sector is enduring challenges in this regard. For this reason, the current study explored the opinions of healthcare professionals using semi-structured interviews to highlight the important factors and issues that influence the use and adoption of new technologies within Iraq public healthcare sector. To our best knowledge, this empirical study is the first to employ a qualitative approach to address the issue of healthcare information system adoption in Iraq healthcare domain. Twenty six themes have emerged in the findings of this qualitative study which can be helpful for healthcare seniors in order to overcome the present challenges related to the adoption of healthcare information systems and to improve the healthcare practice in general.

Identifying Requirements for Healthcare Information Systems with Focus Groups

2013 ◽  
pp. 491-510 ◽  
Author(s):  
Carla Farinha ◽  
Miguel Mira da Silva
Keyword(s):  
Information System ◽  
Information Systems ◽  
Focus Groups ◽  
Healthcare Industry ◽  
Functional Requirements ◽  
Healthcare Information ◽  
Healthcare Information Systems ◽  
Preliminary Results ◽  
Hospital Managers ◽  
High Level

Healthcare Information Systems (HIS) are essential in the healthcare industry since they manipulate vital information. For example, HIS may keep track of the patient’s medical history, avoiding mistakes with medications, dosages, and treatments. However, the traditional methods for identifying HIS requirements focus on specifying functional requirements for the software. Moreover, system scope should be fully understood by stakeholders, such as healthcare workers and hospital managers, something extremely difficult to achieve in practice. As such, many requirements are incomplete, missing, or not needed, leading to expensive and inadequate HIS. The authors identify requirements for Healthcare Information System using Focus Groups. They evaluate this method with experiments, applying a variety of techniques and having encouraging preliminary results. In particular, they verify that stakeholders can reach consensus on high-level requirements by discussing different perspectives about the system scope. The authors conclude that Focus Groups are really effective.

scholarly journals Version-Compatible HL7 Parser Based on Object-Oriented Design

2019 ◽  
Vol 06 (04) ◽  
pp. 457-470
Author(s):  
Dinh Tuyen Hoang ◽  
In Keun Lee ◽  
Dosam Hwang
Keyword(s):  
Complex Structure ◽  
Computer Software ◽  
International Standards ◽  
Software Module ◽  
Healthcare Information ◽  
Healthcare Information Systems ◽  
Object Oriented Design ◽  
Backward Compatibility ◽  
Healthcare Information System ◽  
Definition Of

International standards for the exchange of healthcare information, known as Health Level Seven (HL7), were developed for the interoperability of healthcare information systems. Because of HL7’s complex structure and syntax, HL7 messages are processed by computer software. HL7 defines that, when the version is updated, it should be compatible with the previous version. However, most of the HL7 interface software that is currently in development does not consider the version compatibility of HL7 messages. Instead, a separate conversion software module has been used to handle the version compatibility of HL7 messages for the healthcare information system. However, such a method is inefficient, because it requires several hours and incurs a huge cost. Therefore, in this study, an HL7 parser was developed that not only supports backward compatibility with older versions in accordance with the version compatibility definition of the HL7 V2 messages but also guarantees forward compatibility with newer versions to enhance its utilization. The developed parser was used to test conversion between different versions of HL7 V2 messages which were created to transmit information from one healthcare device to another. Through this test, the usefulness of the developed parser was verified.

scholarly journals Sustainable Smart Healthcare Information Portfolio Strategy Evaluation: An Integrated Activity-Based Costing Decision Model

2020 ◽  
Vol 12 (24) ◽  
pp. 10662
Author(s):  
Chih-Hao Yang ◽  
Hsiu-Li Lee ◽  
Wen-Hsien Tsai ◽  
Sophia Chuang
Keyword(s):  
Decision Making ◽  
Information System ◽  
Decision Model ◽  
Policy Support ◽  
Healthcare Industry ◽  
Activity Based Costing ◽  
Healthcare Information ◽  
Smart Healthcare ◽  
Portfolio Strategy ◽  
Healthcare Information System

Smart city and smart hospital development comprise a mainstream strategy worldwide to enhance the achievement of Sustainable Development Goals (SDGs) and Corporate Social Responsibility (CSR) practices. The smart healthcare industry needs to optimize its smart healthcare information strategies, creating the process-activity value and reducing the cost of healthcare without sacrificing the quality of patient care. This study proposes an decision model of Activity-Based Costing (ABC) concept and Multi-Criteria Decision-Making (MCDM) techniques that integrates the Decision-Making Trial and Evaluation Laboratory (DEMATEL), Analytic Network Processes (ANP), the VlseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) and Zero-One Goal Programming (ZOGP) to achieve optimal smart healthcare information system portfolio strategy decisions. The resulting data shows that the perspective of government policy support and the criterion of Minimize Equipment Maintenance Costs are the most significant evaluation factors, and that the Health Data Informational System and Hospital Device and Drug Management System comprise by far the optimal portfolio of smart healthcare information system which strengthen the connection between ABC and MCDM techniques in evaluation process. The major contributions of this study are as follows: (1) the proposed model contributes to the management accounting innovation development of a sustainable city and Operation Research (OR) application; (2) the integrated model can promote the smart healthcare industry development and help decision makers to more accurately understand how to allocate resources and planning for intelligent-related activities to each smart healthcare information system through appropriate cost drivers.

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