scholarly journals Influences of hospital information systems, indicator data collection and computation on reported Dutch hospital performance indicator scores

2013 ◽  
Vol 13 (1) ◽  
Author(s):  
Helen A Anema ◽  
Job Kievit ◽  
Claudia Fischer ◽  
Ewout W Steyerberg ◽  
Niek S Klazinga
1998 ◽  
Vol 21 (4) ◽  
pp. 15 ◽  
Author(s):  
David Cromwell ◽  
Larry Mays

Improvements in data collection and the types of statistics collected have enhancedthe usefulness of waiting list statistics as a measure of hospital performance. But thesechanges are not sufficient for waiting list statistics to be used effectively formanagement purposes. The statistics need to be viewed alongside activity data ifclinicians and managers are to identify specific areas that need improvement. Thismeans that how the data are analysed and presented is also important.During a study into the management of waiting lists, we observed that waiting listdata were typically presented in a way that made interpretation difficult. A simplebut effective solution was found by using available PC-based software, but obstaclesremain. These stem from limitations of current information systems and the awarenessamong staff of the potential of common software packages.


2021 ◽  
Vol In Press (In Press) ◽  
Author(s):  
Mohammad Javad Jamshidi ◽  
Mahdi Hosseinpour ◽  
Hamed Heshmati ◽  
Bahareh Fathi Zolmabadi

Background: Performance improvement in hospitals requires an appropriate model for performance evaluation. Because organizational goals cannot be achieved without a comprehensive model for evaluating and reviewing programs, organizations cannot apply effective management of programs without regard to the results of their activities. Objectives: The purpose of this study is to introduce a new model for improving the performance of hospital information systems using Six Sigma method in Kermanshah province hospitals. Methods: This is a qualitative research based on content analysis and Delphi method. The data are collected through semi-structured interviews and the participants are 19 experts in hospital performance systems which were selected by snowball sampling. After transcribing the interviews, three steps were done using content analysis: firstly, using line-by-line coding (or open coding) words and segments of interviews were coded, secondly, each code was conceptualized and categorized into some axial codes based on focused coding, and finally, selective coding was done in which categories were identified based on axial codes’ similarity, conceptual relationship and common characteristics. Results: The results of the coding of the interviews showed that variables such as reduction of medical errors, improvement of hospital quality of services, promotion of hospital efficiency and productivity, quick and easy access to information, increased patient satisfaction and safety, management and cost reduction, and time management and control influences the performance of hospital information systems. Conclusions: For improving hospital information systems, hospital managers and system developers should not only pay attention to variables which are controlled by the software and are least affected by the human resources of the organization; such as: cost control, quality control, information control and time control but also human based variables such as specialization of the staffs, their motivation, reduce errors and etc., which are sometimes neglected.


2012 ◽  
Vol 51 (03) ◽  
pp. 210-220 ◽  
Author(s):  
B. De La Iglesia ◽  
S. Donell ◽  
V. Rayward-Smith ◽  
J. Bettencourt-Silva

SummaryBackground: The information present in Hospital Information Systems (HIS) is heterogeneous and is used primarily by health practitioners to support and improve patient care. Conducting clinical research, data analyses or knowledge discovery projects using electronic patient data in secondary care centres relies on accurate data collection, which is often an ad-hoc process poorly described in the literature.Objectives: This paper aims at facilitating and expanding on the process of retrieving and collating patient-centric data from multiple HIS for the purpose of creating a research database. The development of a process roadmap for this purpose illustrates and exposes the constraints and drawbacks of undertaking such work in secondary care centres.Methods: A data collection exercise was carried using a combined approach based on segments of well established data mining and knowledge discovery methodologies, previous work on clinical data integration and local expert consultation. A case study on prostate cancer was carried out at an English regional National Health Service (NHS) hospital.Results: The process for data retrieval described in this paper allowed patient-centric data, pertaining to the case study on prostate cancer, to be successfully collected from multiple heterogeneous hospital sources, and collated in a format suitable for further clinical research.Conclusions: The data collection exercise described in this paper exposes the lengthy and difficult journey of retrieving and collating patient-centric, multi-source data from a hospital, which is indeed a non-trivial task, and one which will greatly benefit from further attention from researchers and hospital IT management.


2019 ◽  
Vol 49 (2-3) ◽  
pp. 117-126 ◽  
Author(s):  
Halima Samra ◽  
Alice Li ◽  
Ben Soh ◽  
Mohammed Al Zain

Background: Although in recent times the Saudi government has paid much attention to the adaptation of hospital information systems (HIS) and electronic medical records (EMR), the importance of utilising HIS to enhance medical research has been neglected. Objective: We aimed to (i) investigate the current state of medical research in Saudi Arabia, (ii) identify possible issues that hinder improvement of medical research and (iii) identify possible solutions to enhance the role of HIS in medical research in Saudi Arabia. Method: We used a questionnaire and structured interview approach. Questionnaires were distributed to Saudi healthcare professionals. One hundred responses to our questionnaire were captured by the online Google Form designed specifically for our survey. Structured interviews with two IT professionals were conducted regarding technical aspects of their hospital data management systems. Results: Six themes contributing to the inefficacy of HIS in medical research in Saudi Arabia emerged from the data: incorrect datasets, difficult data collection and storage, poor data analytics, a lack of system interoperability across different HIS for universal access and negative perception of the usefulness of HIS for medical research. Conclusion and implications: Our findings suggest (i) cloud-based HIS would support efficient, reliable and integrated data collection and storage across all hospitals in Saudi Arabia; (ii) EMR data sources should be seamlessly linked to avoid incomplete, fragmented or erroneous EMR in Saudi Arabia; and (iii) collaboration between all hospitals in Saudi Arabia to adopt a uniform standard to support interoperability and improve data exchange and integration is necessary.


1999 ◽  
Vol 38 (03) ◽  
pp. 200-206 ◽  
Author(s):  
Y. Ogushi ◽  
Y. Okada ◽  
M. Kimura ◽  
I Kumamoto ◽  
Y. Sekita ◽  
...  

AbstractQuestionnaire surveys were sent to hospital managers, designed to shape the policy for future hospital information systems in Japan. The answers show that many hospitals use dedicated management systems, especially for patient registration and accounting, and personnel, food control, pharmacy and financial departments. In many hospitals, order-entry systems for laboratory tests and prescriptions are well developed. Half of the hospitals have patient databases used for inquiries of basic patient information, history of outpatient care and hospital care. The most obvious benefit is the reduction of office work, due to effective hospital information system. Many hospital managers want to use the following sub systems in the future for automatic payment, waiting time display, patient records search, automatic prescription verification, drug side-effect monitoring, and graphical display of patient record data.


1998 ◽  
Vol 37 (01) ◽  
pp. 16-25 ◽  
Author(s):  
P. Ringleb ◽  
T. Steiner ◽  
P. Knaup ◽  
W. Hacke ◽  
R. Haux ◽  
...  

Abstract:Today, the demand for medical decision support to improve the quality of patient care and to reduce costs in health services is generally recognized. Nevertheless, decision support is not yet established in daily routine within hospital information systems which often show a heterogeneous architecture but offer possibilities of interoperability. Currently, the integration of decision support functions into clinical workstations is the most promising way. Therefore, we first discuss aspects of integrating decision support into clinical workstations including clinical needs, integration of database and knowledge base, knowledge sharing and reuse and the role of standardized terminology. In addition, we draw up functional requirements to support the physician dealing with patient care, medical research and administrative tasks. As a consequence, we propose a general architecture of an integrated knowledge-based clinical workstation. Based on an example application we discuss our experiences concerning clinical applicability and relevance. We show that, although our approach promotes the integration of decision support into hospital information systems, the success of decision support depends above all on an adequate transformation of clinical needs.


1974 ◽  
Author(s):  
Stanley E. Jacobs ◽  
Lou Phillips ◽  
Marion J. Ball ◽  
John W. Anderson

2019 ◽  
Vol 26 (1) ◽  
pp. 420-434 ◽  
Author(s):  
Lizawati Salahuddin ◽  
Zuraini Ismail ◽  
Ummi Rabaah Hashim ◽  
Nor Haslinda Ismail ◽  
Raja Rina Raja Ikram ◽  
...  

This study aims to investigate healthcare practitioner behaviour in adopting Health Information Systems which could affect patients’ safety and quality of health. A qualitative study was conducted based on a semi-structured interview protocol on 31 medical doctors in three Malaysian government hospitals implementing the Total Hospital Information Systems. The period of study was between March and May 2015. A thematic qualitative analysis was performed on the resultant data to categorize them into relevant themes. Four themes emerged as healthcare practitioners’ behaviours that influence the unsafe use of Hospital Information Systems. The themes include (1) carelessness, (2) workarounds, (3) noncompliance to procedure, and (4) copy and paste habit. By addressing these behaviours, the hospital management could further improve patient safety and the quality of patient care.


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