Usage of Standards to Integration of Hospital Information Systems

Shahmoradi, Leila; Ebrahimi, Maryam; Shahmoradi, Somayeh; Farzanehnejad, Ahmadreza; Moammaie, Hajar; Habibi-koolaee, Mahdi

doi:10.30699/fhi.v9i1.215

Cited by 5 publications

(3 citation statements)

References 11 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The results have shown that the system optimizes the pediatric nursing process, improves the work efficiency of medical staff, and greatly reduces the loss of medical records, errors, and supervision problems [ 5 ]. Shahmoradi et al investigated the use of the Hospital Information System (HIS) standard in the Tehran University of Medical Sciences Hospital and found that the HIS system structure is not standardized [ 6 ]. Explanation: although HIS can bring great convenience to medical staff, there are still irregularities in its construction and use.…”

Section: Introductionmentioning

confidence: 99%

Design of an Intelligent Nursing Information Management System for Critically Ill Patients in Neurosurgery

Wang

Liu

2022

Journal of Healthcare Engineering

View full text Add to dashboard Cite

In hospitals, one of the dominant issues is the development of an accurate and precise nursing management system which is hard to implement due to the various problems in the implementation of the traditional manual system. For this purpose, we are to solve the imperfect functions of the traditional nursing information management system and the strong subjectivity and low accuracy of the way of manually judging the patient’s condition. Firstly, the Immune Genetic Algorithm (IGA) is used to optimize the Backpropagation Neural Network (BPNN). A mortality prediction model using IGA-BPNN is proposed. Secondly, a nursing information management system for critically ill patients in neurosurgery is designed. The IGA-BPNN prediction model is used as a part of the system to predict the mortality of critically ill patients. Finally, the performance of the predictive model and the system is tested using the Medical Information Mart for Intensive Care (MIMIC)-III data set design experiment. The results show the following: (1) Precision, Recall, and F1-score of mortality prediction using the IGA-BPNN model are 7.2%, 7.2%, and 7.3% higher than those of other prediction models. The designed model has better performance. (2) The comprehensive performance of the system during operation can reach the standard. The researched content aims to provide important technical support for the nursing information management of critically ill patients in neurosurgery and the intelligent analysis of patients’ condition.

show abstract

Section: Introductionmentioning

confidence: 99%

Design of an Intelligent Nursing Information Management System for Critically Ill Patients in Neurosurgery

Wang

Liu

2022

Journal of Healthcare Engineering

View full text Add to dashboard Cite

show abstract

“…Training was similarly emphasized as a key factor in the adoption of any HIS by end-users in a study conducted by Hamed Nadri and his colleagues [24]. Factors such as institutional, technological, individual, and logistical capacities have been shown to have a signi cant in uence on HMIS implementation and sustainability in Africa [25]. To enhance system usage and acceptance, the usefulness and ease of use of HMIS, as well as technological factors like user-friendliness, reliability, accessibility, and interoperability, need to be ensured.…”

Section: Factors Positively In Uencing the Acceptance And Use Of By Hdmsmentioning

confidence: 99%

The perceptions and acceptance of health management information system by health data managers in Rwanda: A Cross Sectional Study

Hagenimana,

Nishimwe,

Byungura

et al. 2023

Preprint

View full text Add to dashboard Cite

Background Health Management Information System (HMIS) has the unlimited potential to enhance the quality of healthcare. However, technology can be implemented and still face resistance from users. Since the introduction of Rwanda's HMIS, studies are still scarce to assess its adoption and level of acceptance from the end-users' perspective. This study aimed to assess the perceived usefulness and acceptance of HMIS by Health Data Managers (HDMs) in Rwanda. A cross-sectional study was conducted using the Technology Acceptance Model (TAM) to assess HMIS usage. A mixed-method approach was used to collect data from 280 HDMs. Data analysis utilized descriptive statistics for distribution and ANOVA to test the correlations between perceptions, institutional factors, technology, and the acceptability of HMIS. Results Perceived usefulness (PU), perceived ease of use (PEU), and technology factors were significantly inter-correlated with each other and with the acceptance of the HMIS system. The degree of HMIS acceptance by HDMs is at 64.4%. HDMs' perceived usefulness (PU) of HMIS highlights its core functionalities. Conclusion The significance of HMIS usefulness and acceptance among HDMs in Rwanda is evident but requires further improvement such as continuous training on the use of Health Management Information System, making the system more user-friendly, increasing user support when needed, and ensuring timely communication of updates. HDMs acknowledge the positive influence of HMIS on their achievements.

show abstract

“…However, most of the community health centers (puskesmas) in Indonesia have used a manual system [9], [10]. This system has acknowledged a risk of truth and data accuracy [11]. There is a possibility of intentional or unintentional errors, thereby reducing the accuracy of the information [12].…”

Section: Introductionmentioning

confidence: 99%

Development of a Surveilens System as a Means for Collection and Reporting of Infectious Diseases in Puskodono Health Center, Sragen

Sari,

Adi,

Agushybana

2023

j.electron.electromedical.eng.med.inform

View full text Add to dashboard Cite

Surveillance is an important activity in the context of disease data collection. The results of these surveillance activities can also be used as a consideration for making decisions related to disease management, especially infectious diseases. The aim of the research was to develop an information system for surveillance of infectious diseases for data collection and reporting to support management decision making at the Sukodono Health Center, Sragen.This research method is qualitative and quantitative. Prototype model research development. The research population is all parties involved in the development of an Infectious Disease Management Information System at the Sukodono Health Center, Sragen. The subjects of this study were the Head of the Community Health Center, the Head of the Infectious Diseases Program and the four Communicable Diseases Program Holders. the research object is the Communicable Disease Health Center Management Information System. This research method is qualitative and quantitative. Prototype model research development. The subjects of this study were one head of the health center, one head of the infectious disease program and four holders of the infectious disease program. the research object is the Communicable Disease Health Center Management Information System. Data analysis in this study was carried out by means of content analysis for qualitative and descriptive analysis methods for quantitative. The acquisition of the evaluation results from the total average percentage is Accurate at (62.19%), Complete at (83.89%), timeliness (84.44%), and Relevant at (95.20%). Meanwhile, in terms of data accuracy (accuracy) and completeness of content or data availability (content), information system users are very satisfied, as indicated by the results of the total average percentage of both 80.36 and 99.36% indicating that the user is very confident in the completeness and correctness of the examination data that has been inputted into the information system by paramedics. The results of the evaluation of the information system as a whole are 81.43%, meaning that the Information System for Surveillance of Communicable Diseases can be received and used by users of the information system very well

show abstract

Usage of Standards to Integration of Hospital Information Systems

Cited by 5 publications

References 11 publications

Design of an Intelligent Nursing Information Management System for Critically Ill Patients in Neurosurgery

Design of an Intelligent Nursing Information Management System for Critically Ill Patients in Neurosurgery

The perceptions and acceptance of health management information system by health data managers in Rwanda: A Cross Sectional Study

Development of a Surveilens System as a Means for Collection and Reporting of Infectious Diseases in Puskodono Health Center, Sragen

Contact Info

Product

Resources

About