scholarly journals Human Factors in the Large: Experiences from Denmark, Finland and Canada in Moving Towards Regional and National Evaluations of Health Information System Usability

2014 ◽  
Vol 23 (01) ◽  
pp. 67-81 ◽  
Author(s):  
J. Kaipio ◽  
M. Nieminen ◽  
H. Hyppönen ◽  
T. Lääveri ◽  
C. Nohr ◽  
...  
Keyword(s):  
Information Systems ◽  
Health Information ◽  
Health Professionals ◽  
Large Scale ◽  
National Level ◽  
Health Information System ◽  
Health Information Systems ◽  
Small Scale ◽  
System Usability ◽  
Questionnaire Studies

Summary Objectives: The objective of this paper is to explore approaches to understanding the usability of health information systems at regional and national levels. Methods: Several different methods are discussed in case studies from Denmark, Finland and Canada. They range from small scale qualitative studies involving usability testing of systems to larger scale national level questionnaire studies aimed at assessing the use and usability of health information systems by entire groups of health professionals. Results: It was found that regional and national usability studies can complement smaller scale usability studies, and that they are needed in order to understand larger trends regarding system usability. Despite adoption of EHRs, many health professionals rate the usability of the systems as low. A range of usability issues have been noted when data is collected on a large scale through use of widely distributed questionnaires and websites designed to monitor user perceptions of usability. Conclusion: As health information systems are deployed on a widespread basis, studies that examine systems used regionally or nationally are required. In addition, collection of large scale data on the usability of specific IT products is needed in order to complement smaller scale studies of specific systems.

scholarly journals Utilisation of district health information system and its associated factors among health professionals working at public health facilities of the southwest of Ethiopia: cross-sectional survey

BMJ Open ◽  
2021 ◽  
Vol 11 (8) ◽  
pp. e046578
Author(s):  
Shuma Gosha Kanfe ◽  
Gebiso Roba Debele ◽  
Robera Demissie Berhanu ◽  
Habtamu Setegn Ngusie ◽  
Mohammedjud Hassen Ahmed
Keyword(s):  
Information System ◽  
Information Systems ◽  
Health Information ◽  
Health Professionals ◽  
Associated Factors ◽  
Health Information System ◽  
Health Information Systems ◽  
District Health ◽  
Cross Sectional ◽  
High Motivation

ObjectivesTo assess utilisation of district health information system and its associated factors among health professionals in the southwest of Ethiopia, 2020.SettingPublic health facilities in the southwest of Ethiopia.ParticipantsA facility-based cross-sectional study was conducted among a sample of 260 participants.Main outcome measuresThe main outcome measure was utilisation of the district health information system.ResultsOverall, 149 (57.3%) of study participants had good utilisation of district health information systems (95% CI 50 to 64.2). Sufficient skills (Adjusted Odds Ratio (AOR) 3.83, 95% CI 1.92 to 7.64), being trained (AOR 3.90, 95% CI 1.95 to 7.79), high motivation (AOR 3.93, 95% CI 1.99 to 7.76), feedback provided (AOR 2.93, 95% CI 1.53 to 5.77) and regular supervision (AOR 3.06, 95% CI 1.56 to 6.01) were associated with utilisation of district health information systems.ConclusionsIn general, more than half of the respondents had good utilisation of district health information systems. Providing regular supportive supervision and feedback, having good skills on district health information system use, high motivation and being trained on district health information system will help to bring good utilisation of district health information system for decision making.

scholarly journals CAF and CAMM analyses on the first 10 years of national Kanta services in Finland

2020 ◽  
Vol 12 (4) ◽  
Author(s):  
Vesa Jormanainen ◽  
Jarmo Reponen
Keyword(s):  
Health Information ◽  
Large Scale ◽  
National Level ◽  
Health Information System ◽  
Strong Support ◽  
Evaluation Framework ◽  
Macro Level ◽  
State Budget ◽  
Study Results ◽  
Clinical Adoption

We report the large-scale deployment, implementation and adoption of the nationwide centralized integrated and shared Kanta health information services by using the Clinical Adoption Framework (CAF). The meso and macro level dimensions of the CAF were incorporated early into our e-health evaluation framework to assess Health Information System (HIS) implementation at the national level. We found strong support for the CAF macro level model concepts in Finland. Typically, development programs were followed by government policy commitments, appropriate legislation and state budget funding before the CAF meso level implementation activities. Our quantitative data point to the fact that implementing large-scale health information technology (HIT) systems in practice is a rather long process. For HIT systems success in particular citizens’ and professionals’ acceptance are essential. When implementation of the national health information systems was evaluated against Clinical Adoption Meta-Model (CAMM), the results show that Finland has already passed many milestones in CAMM archetypes. According to our study results, Finland seems to be a good laboratory entity to study practical execution of HIT systems, CAF and CAMM theoretical constructs can be used for national level HIS implementation evaluation.

Towards Multi-Agent Health Information Systems

2015 ◽  
Vol 6 (4) ◽  
pp. 20-38 ◽  
Author(s):  
Andrea Claudi ◽  
Paolo Sernani ◽  
Aldo Franco Dragoni
Keyword(s):  
Information Systems ◽  
Health Information ◽  
New Technologies ◽  
Health Information System ◽  
Emergency Situation ◽  
Health Information Systems ◽  
International Standards ◽  
Radiology Workflow ◽  
Healthcare Sector ◽  
Multi Agent

One of the key challenges in the healthcare sector is to adapt Health Information Systems to requirements coming from changing societies. In recent years, governments and international healthcare organizations defined a series of requirements for new generation Health Information Systems: they have to preserve past investments on legacy systems, but must also integrate new technologies, include the patient among their users, and ensure that clinical information are available at all times, even in places far from where information are physically stored. This paper proposes a multi agent-oriented architecture for Health Information Systems, which uses international standards for communication and management of clinical documents. The architecture tries to effectively model a generic healthcare organization, and aims at being easily extensible and adaptable to the particularities of specific healthcare systems. The authors present two experimental scenarios to test the proposed multi-agent health information system. In the first, they show how to model a specific use case, a radiology workflow, using agents and well-known standards; in the second one the authors demonstrate how a mobile application can use the services provided by the agents to support the medical staff in an emergency situation.

Informational Priorities in Health Information Systems

2011 ◽  
pp. 763-781
Author(s):  
Malgorzata Kisilowska
Keyword(s):  
Information System ◽  
Information Systems ◽  
Health Information ◽  
Health Professionals ◽  
Information Needs ◽  
Information Science ◽  
Health Information System ◽  
Information Structures ◽  
Information Professionals ◽  
Types Of Information

This chapter presents the model of a wide health information system, designed in accordance with information science theories and requirements. The model, based on modern ICT solutions, reflects the idea of information processes (collection, indexing, transfer) as seen in an information science perspective. It concentrates on optimal answering information needs of different categories of patrons, including adaptation of information-retrieval tools to their competencies. The author discusses different types of information indispensable in healthcare practice, analyzes methods of knowledge representation in health information system, proposes methodology of surveying information needs of health professionals, and describes challenges of linguistic tools used in information systems. The author hopes that such a model will emphasis the need of cooperation among ICT, health, and information professionals in designing information structures and processes.

scholarly journals Producing routine malaria data: an exploration of the micro-practices and processes shaping routine malaria data quality in frontline health facilities in Kenya

2019 ◽  
Vol 18 (1) ◽  
Author(s):  
George Okello ◽  
Sassy Molyneux ◽  
Scholastica Zakayo ◽  
Rene Gerrets ◽  
Caroline Jones
Keyword(s):  
Information Systems ◽  
Data Collection ◽  
Health Information ◽  
Low Income ◽  
Health Workers ◽  
National Level ◽  
Health Information Systems ◽  
Health Facilities ◽  
Careful Examination ◽  
Data Generation

Abstract Background Routine health information systems can provide near real-time data for malaria programme management, monitoring and evaluation, and surveillance. There are widespread concerns about the quality of the malaria data generated through routine information systems in many low-income countries. However, there has been little careful examination of micro-level practices of data collection which are central to the production of routine malaria data. Methods Drawing on fieldwork conducted in two malaria endemic sub-counties in Kenya, this study examined the processes and practices that shape routine malaria data generation at frontline health facilities. The study employed ethnographic methods—including observations, records review, and interviews—over 18-months in four frontline health facilities and two sub-county health records offices. Data were analysed using a thematic analysis approach. Results Malaria data generation was influenced by a range of factors including human resource shortages, tool design, and stock-out of data collection tools. Most of the challenges encountered by health workers in routine malaria data generation had their roots in wider system issues and at the national level where the framing of indicators and development of data collection tools takes place. In response to these challenges, health workers adopted various coping mechanisms such as informal task shifting and use of improvised tools. While these initiatives sustained the data collection process, they also had considerable implications for the data recorded and led to discrepancies in data that were recorded in primary registers. These discrepancies were concealed in aggregated monthly reports that were subsequently entered into the District Health Information Software 2. Conclusion Challenges to routine malaria data generation at frontline health facilities are not malaria or health information systems specific; they reflect wider health system weaknesses. Any interventions seeking to improve routine malaria data generation must look beyond just malaria or health information system initiatives and include consideration of the broader contextual factors that shape malaria data generation.

scholarly journals Implementation of Toddler Health Information Systems

2021 ◽  
Vol 7 (1) ◽  
pp. 1-4
Author(s):  
Teungku Nih Farisni ◽  
Keyword(s):  
Information System ◽  
Information Systems ◽  
Health Center ◽  
Health Information ◽  
Reporting System ◽  
Health Information System ◽  
Public Information ◽  
Health Information Systems ◽  
Integrated System

Health Information System is an integrated system that used to manage data and public information. Babahrot Health Center, has problems in the field of health information system and the health center of integrated recording and reporting system especially the system toddler health information

scholarly journals Health information systems´ usability-related use errors in patient safety incidents

2017 ◽  
Vol 9 (1) ◽  
pp. 6 ◽  
Author(s):  
Eija Hautamäki ◽  
Ulla-Mari Kinnunen ◽  
Sari Palojoki
Keyword(s):  
Patient Safety ◽  
Information Systems ◽  
Health Information ◽  
Health Information System ◽  
Health Information Systems ◽  
Identification Problems ◽  
Hospital District ◽  
Information System Design ◽  
The Relationship ◽  
Patient Safety Incidents

Health information systems contain usability issues that cause use errors, which may pose a risk to patient safety. The aim of this study was to identify what kind of usability issues in information systems cause use errors that lead to patient safety incidents. Patient safety incidents reported into an incident reporting system in a Finnish hospital district during the year 2014 (n=2500) were analyzed from the perspectives of usability and use errors. An inductive content analysis was carried out in order to gather information about the usability issues that may have led to a use error, thus causing patient safety incidents. The results showed that the main usability issues are the distribution of information into multiple views, identification problems with the selected patient, and basic daily tasks' reliance on users' memory. The results show that the relationship between usability, use errors, and patient safety should be understood and considered in the health information system design.

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