4 research outputs found
A model on factors affecting nurses adoption of health information technology
Healthcare organisations are using Health Information Technology (HIT) to
improve efficiency, reduce cost and reduce medical errors. This study focused on
the factors that influence the acceptance of HIT among nurses in Saudi hospitals.
This research used a 6 stage mixed-methods research approach. Literature was
used to search for established models and frameworks of technology
acceptance, and the many factors that could play a role. In the field study, the
nature of practical HIT issues at the Prince Sultan Military Medical City (PSMMC)
and the Heraa Hospital were studied, and combined with literature to create a
HIT Implementation Issues Framework. The framework consolidates elements
from the Technological, Organisational, Environmental and Human dimensions.
The researcher participated in further PSMMC projects in the design and
implementation of the new Cardio Pulmonary Resuscitation System and the
Nurses and Pharmacists’ Communication System. From the implementation
experience, pertinent factors were added to the Technology Acceptance Model
and the “Nurses Acceptance Model” was proposed. The proposed model has
eleven independent parameters, two dependent parameters, as well as seven
moderators of key relationships. A questionnaire with 71 entries was distributed
to over 2800 nurses in 52 wards in PSMMC. SPSS was used for data screening
and descriptive statistics. The SmartPLS software was used for analysis and
testing of the proposed hypotheses. The findings refined the “Nurses Acceptance
Model” and highlight the significance of User Involvement and Training.
The “Nurses Acceptance Model” enhances the scientific understanding of
variables that affect technology acceptance among nurses in Saudi hospitals.
The HIT Implementation Issues Framework helps hospital decision makers to
plan HIT projects to improve the likelihood of successful adoption
Using an integrated information system to reduce interruptions and the number of non-relevant contacts in the inpatient pharmacy at tertiary hospital
Patient care is provided by a multidisciplinary team of healthcare professionals intended for high-quality and safe patient care. Accordingly, the team must work synergistically and communicate efficiently. In many hospitals, nursing and pharmacy communication relies mainly on telephone calls. In fact, numerous studies have reported telephone calls as a source of interruption for both pharmacy and nursing operations; therefore, the workload increases and the chance of errors raises.
This report describes the implementation of an integrated information system that possibly can reduce telephone calls through providing real-time tracking capabilities and sorting prescriptions urgency, thus significantly improving traceability of all prescriptions inside pharmacy.
The research design is based on a quasi-experiment using pre-post testing using the continuous improvement approach. The improvement project is performed using a six-step method. A survey was conducted in Prince Sultan Military Medical City (PSMMC) to measure the volume and types of telephone calls before and after implementation to evaluate the impact of the new system. Beforehand of the system implementation, during the two-week measurement period, all pharmacies received 4466 calls and the majority were follow-up calls. Subsequently of the integrated system rollout, there was a significant reduction (p > 0.001) in the volume of telephone calls to 2630 calls; besides, the calls nature turned out to be more professional inquiries (p > 0.001). As a result, avoidable interruptions and workload were decreased
Investigation Interoperability Problems in Pharmacy Automation: A Case Study in Saudi Arabia
The aim of this case study is to investigate the nature of interoperability problems in hospital systems automation. One of the advanced healthcare providers in Saudi Arabia is the host of the study. The interaction between the pharmacy system and automated medication dispensing cabinets is the focus of the case system. The research method is a detailed case study where multiple data collection methods are used. The modelling of the processes of inpatient pharmacy systems is presented using Business Process Model Notation. The data collected is analysed to study the different interoperability problems. This paper presents a framework that classifies health informatics interoperability implementation problems into technical, semantic, organisational levels. The detailed study of the interoperability problems in this case illustrates the challenges to the adoption of health information system automation which could help other healthcare organisations in their system automation projects