Waste in health information systems: a systematic review

2017 ◽  
Vol 30 (4) ◽  
pp. 341-357 ◽  
Author(s):  
Nadia Awang Kalong ◽  
Maryati Yusof

Purpose The purpose of this paper is to discuss a systematic review on waste identification related to health information systems (HIS) in Lean transformation. Design/methodology/approach A systematic review was conducted on 19 studies to evaluate Lean transformation and tools used to remove waste related to HIS in clinical settings. Findings Ten waste categories were identified, along with their relationships and applications of Lean tool types related to HIS. Different Lean tools were used at the early and final stages of Lean transformation; the tool selection depended on the waste characteristic. Nine studies reported a positive impact from Lean transformation in improving daily work processes. The selection of Lean tools should be made based on the timing, purpose and characteristics of waste to be removed. Research limitations/implications Overview of waste and its category within HIS and its analysis from socio-technical perspectives enabled the identification of its root cause in a holistic and rigorous manner. Practical implications Understanding waste types, their root cause and review of Lean tools could subsequently lead to the identification of mitigation approach to prevent future error occurrence. Originality/value Specific waste models for HIS settings are yet to be developed. Hence, the identification of the waste categories could guide future implementation of Lean transformations in HIS settings.

2018 ◽  
Vol 119 (7/8) ◽  
pp. 358-376
Author(s):  
Cathrine Tambudzai Nengomasha ◽  
Ruth Abankwah ◽  
Wilhelm Uutoni ◽  
Lilian Pazvakawambwa

Purpose This paper aims to report some findings of a study that investigated health information systems (HISs) in Namibia with a view of establishing the nature of these systems and coming up with recommendations on how these could be enhanced. Design/methodology/approach This study applied a mixed methods research approach, using interviews and survey questionnaire to collect data. Survey data were analysed for descriptive statistics using SPSS and data from interviews were analysed applying content analysis for data analysis. Findings The findings of this study indicate fragmented HISs resulting in duplication of diagnosis, tests and treatment. The findings show that there were errors in capturing data into the systems, which could compromise the reliability of the data and compromise service delivery. Research limitations/implications This study was limited to two (Khomas and Oshana) of the fourteen regions in Namibia; therefore, further studies could look at other regions, as the study findings cannot be generalised to the entire country. Practical implications The findings and recommendations, particularly those relating to the public health sector, could inform policies and procedures, especially those relating to the patient health passport (card), and the way health information is shared within and across health sectors. Originality/value This study focused on health information sharing, whereas a previous study on HISs concentrated on quality of healthcare.


2016 ◽  
Vol 24 (1) ◽  
pp. 1-9 ◽  
Author(s):  
Raul Luna ◽  
Emily Rhine ◽  
Matthew Myhra ◽  
Ross Sullivan ◽  
Clemens Scott Kruse

2017 ◽  
Vol 97 ◽  
pp. 195-209 ◽  
Author(s):  
Amirhossein Eslami Andargoli ◽  
Helana Scheepers ◽  
Diana Rajendran ◽  
Amrik Sohal

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Gangadhar Ch ◽  
Nama Ajay Nagendra ◽  
Syed Mutahar Aaqib ◽  
C.M. Sulaikha ◽  
Shaheena Kv ◽  
...  

Purpose COVID-19 would have a far-reaching impact on the international health-care industry and the patients. For COVID-19, there is a need for unique screening tests to reliably and rapidly determine who is infected. Medical COVID images protection is critical when data pertaining to computer images are being transmitted through public networks in health information systems. Design/methodology/approach Medical images such as computed tomography (CT) play key role in the diagnosis of COVID-19 patients. Neural networks-based methods are designed to detect COVID patients using chest CT scan images. And CT images are transmitted securely in health information systems. Findings The authors hereby examine neural networks-based COVID diagnosis methods using chest CT scan images and secure transmission of CT images for health information systems. For screening patients infected with COVID-19, a new approach using convolutional neural networks is proposed, and its output is simulated. Originality/value The required patient’s chest CT scan images have been taken from online databases such as GitHub. The experiments show that neural networks-based methods are effective in the diagnosis of COVID-19 patients using chest CT scan images.


Author(s):  
Felipe Mejia Medina ◽  
Zenaida Cucaita Vergara ◽  
Ruben Dario Castro Acuña ◽  
Jair Tellez

Patient safety is one of the most important challenges facing healthcare organizations in the world. Patient safety programs aim to avoid the events caused to the patient during their care, through strategies aimed at guaranteeing infection control, safe use of medications, equipment, clinical practice and environment. However, errors in health care are often due to weak information systems and their causes can be corrected by identifying the incidents and events presented during the care. Each country must have solid and reliable health information systems (HIS) to generate its own data, in order to monitor the different health programs and thus report on their management. In many countries, SISs are weak, incomplete and fragmented, with problems related to infrastructure, interoperability, connectivity, lack of training and availability to health care personnel. The objective of this study was to conduct a rapid systematic review of the literature about the experiences reported by users or health professionals with the Health Information Systems of Patient Safety Programs (PSP). 98 articles were identified in the Medline database, of which 5 articles with a qualitative approach were included. The results showed problems with the definition of concepts related to patient safety, fear of professionals to report events or incidents, reluctance to use SIS due to interoperability or communication problems. The qualitative studies related to HIS of the PSP are scarce and the publications found have been carried out in countries such as Iran, Taiwan, Austria, Spain and the Netherlands.


2016 ◽  
Vol 7 (3) ◽  
pp. 330-345 ◽  
Author(s):  
Shadrack Katuu

Purpose The purpose of this paper is to explore the challenges of transforming South Africa’s health sector through the country’s eHealth Strategy and particularly one of its key components, the implementation of an integrated Electronic Document and Records Management System (EDRMS). Design/methodology/approach The study conducted an extensive review of literature and used it as a basis to analyse the challenges as well as opportunities in South Africa’s transformation path within its health sector based on the nation’s eHealth Strategy. Findings South Africa’s health sector faces three main transformation challenges: inequity, legacy of fragmentation and a service delivery structure biased towards curative rather than preventive services. Health information systems provide a solid platform for improving efficiency but, within South Africa, these systems have been highly heterogeneous. A recent study showed the country had more than 40 individual health information systems scattered in all provinces, with over 50 per cent not adhering to any national or international standards and more than 25 per cent being stand-alone applications that shared information neither locally nor externally. The eHealth Strategy offers a robust platform to start addressing the legacy of fragmentation and lack of interoperability. However, it also raises a few other concerns, including the use of different terminology such as Electronic Medical Record (EMR) interchangeable with Electronic Health Record (EHR), or EDRMS parallel with Electronic Content Management (ECM). In addition, there is the opportunity to explore the use of the maturity model concept in the EDRMS implementation experiences within South Africa. Originality/value This paper demonstrated the complex nature of the legacy of fragmentation in South Africa’s health information systems and explored three aspects relating to terminology as well as maturity models that should be considered in the country’s future eHealth Strategy.


2017 ◽  
Vol 2 (1) ◽  
pp. 121-121
Author(s):  
Haleh Ayatollahi ◽  
Mehraeen Esmaeil ◽  
Maryam Ahmadi

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