The adoption of ICT in Malaysian public hospitals: the interoperability of electronic health records and health information systems

There have been a number of researches that investigated ICT adoption in Malaysian healthcare. With the small number of hospitals that adopt ICT in their daily clinical and administrative operations, the possibility to enable data exchange across 131 public hospitals in Malaysia is still a long journey. In addition to those studies, this research was framed under six objectives, which aim to critically review existing literature on the subject matter, identify barriers of ICT adoption in Malaysia, understand the administrative context during the pre and post-ICT adoption, and recommend possible solutions to the Ministry of Health of Malaysia (MoHM) in its efforts to implement interoperable electronic health records (EHR) and health information systems (HTIS). Specifically, this research aimed to identify the factors that had significant impacts to the processes of implementing interoperable EHR and HTIS by the MoHM. Furthermore, it also aimed to propose relevant actors who should involve in the implementation phases. These factors and actors were used to develop a model for implementing interoperable EHR and HTIS in Malaysia. To gather the needed data, series of interviews were conducted with three groups of participants. They were ICT administrators of MoHM, ICT and medical record administrators of three hospitals, and physicians of three hospitals. To ensure the interview feedback was representing the context of EHR and HTIS implementation in Malaysia, two hospital categories were selected, which included the hospitals with HTIS and non-HTIS hospitals. The government documents were then used to triangulate the feedback to ensure dependability, credibility, transferability and conformity of the findings. Two techniques were used to analyse the data, which were thematic analysis and theme matching. These two techniques were modified from its original method, known as pattern matching. The originality of this research was presented in the findings and methods to transform them into solutions and provide recommendation to the MoHM. In general, the results showed that the technological factors contributed less to the success of the implementation of interoperable EHR and HTIS compared to the managerial and administrative factors. Four main practical and social contributions were identified from this research, which included synchronisation of managerial elements, political determination and change management transformation, optimisation of use of existing legacy system (Patient Management System) and finally the roles of actors. Nevertheless, the findings of this research would be more dependable and transferable if more participants had been willing to participate especially among the physicians and those who managed the ICT adoptions under the MoHM

The Effects of Structured Health Policy Education on Connecticut Registered Nurses\u27 Clinical Documentation

Registered Nurses use clinical documentation to describe care planning processes, measure quality outcomes, support reimbursement, and defend litigation. The Connecticut Department of Health, guided by federal Conditions of Participation, defines state-level healthcare policy to include required care planning processes. Nurses are educated in care planning process standards, however no policy-required competency verification processes in academia or employers exists. Guided by the advocacy coalition framework, the purpose of this quasi-experimental study was to determine if the quality of nurse coalition actors’ clinical documentation, a relatively stable parameter, would increase after attending policy-centered structured education. Data were extracted from 272 electronic medical records (136 pre - 136 post attendance) and mean quality scores were computed using the Müller-Staub Q-DIO scale from 17 nurse coalition actors. A two group dependent t test was used to examine quality score differences and linear regression was used to isolate process education subsections that significantly predicted post mean score improvements. Findings indicate a statistically significant difference between pre and post education quality scores (p \u3c .001) and improvement drivers of the post-education quality scores were identified in the subscales of ‘diagnosis as a process’ (p \u3c .001) and ‘interventions’ (p \u3c .001). Implications for positive social change include recommendations to state-level policy makers to mandate confirmation of graduating nurses’ documentation quality and to install continuing education requirements as a condition of bi-annual license renewal; each area acting to reduce non-compliant clinical documentation in light of federal Conditions of Participation rules

Understanding the use of standardized nursing terminology and classification systems in published research : a case study using the International Classification for Nursing Practice®

Background In the era of evidenced based healthcare, nursing is required to demonstrate that care provided by nurses is associated with optimal patient outcomes, and a high degree of quality and safety. The use of standardized nursing terminologies and classification systems are a way that nursing documentation can be leveraged to generate evidence related to nursing practice. Several widely-reported nursing specific terminologies and classifications systems currently exist including the Clinical Care Classification System, International Classification for Nursing Practice®, Nursing Intervention Classification, Nursing Outcome Classification, Omaha System, Perioperative Nursing Data Set and NANDA International. However, the influence of these systems on demonstrating the value of nursing and the professions’ impact on quality, safety and patient outcomes in published research is relatively unknown. Purpose This paper seeks to understand the use of standardized nursing terminology and classification systems in published research, using the International Classification for Nursing Practice® as a case study. Methods A systematic review of international published empirical studies on, or using, the International Classification for Nursing Practice® were completed using Medline and the Cumulative Index for Nursing and Allied Health Literature. Results Since 2006, 38 studies have been published on the International Classification for Nursing Practice®. The main objectives of the published studies have been to validate the appropriateness of the classification system for particular care areas or populations, further develop the classification system, or utilize it to support the generation of new nursing knowledge. To date, most studies have focused on the classification system itself, and a lesser number of studies have used the system to generate information about the outcomes of nursing practice. Conclusions Based on the published literature that features the International Classification for Nursing Practice, standardized nursing terminology and classification systems appear to be well developed for various populations, settings and to harmonize with other health-related terminology systems. However, the use of the systems to generate new nursing knowledge, and to validate nursing practice is still in its infancy. There is an opportunity now to utilize the well-developed systems in their current state to further what is know about nursing practice, and how best to demonstrate improvements in patient outcomes through nursing care

Assessment of organizational readiness towards electronic health records in a tertiary care hospital, Karachi, Pakistan, a quantitative analytical cross-sectional study

Background: A medical error is one of the most preventable errors that occur frequently in hospitals, leading to millions of deaths yearly. Medical errors cost hospitals billions of dollars worldwide. Human error is also a common cause of medication errors, but this error is due to the failure of the system to detect errors. The electronic health record (EHR) is a complete set of computerized records of all information related to patient health that is used by one or more users in any care setting. This information includes demographic data of patients, patients’ progress notes, complaints and diagnoses, medications, vital signs history and records, past medical and immunization history, labs, and radiology data. Healthcare systems in Pakistan need proper and timely attention by utilizing technology. Technology can bring a positive change in the healthcare setup of Pakistan. For the time being, the most important factor that has been ignored by the government is the unavailability of technology in healthcare readiness. AKUH is planning to implement EHRs in 2024, which was an opportunity for us to assess the organizational readiness towards EHRs at AKUH before implantation.Purpose: The purpose of the study was to assess organizational readiness towards EHRs and to identify enabling factors and barriers towards their implementation.Methodology: A cross-sectional analytical study design was used for this study to respond to the research questions of the study. A universal sampling technique was used to recruit 4,146 population for the study through an online survey from a private tertiary care hospital. The targeted response rate was to recruit 60% of the sample size from the total population. Univariate and Multiple regression was run to find the association between the dependent and independent variables.Result: A total of 3,358 participants responded to the online survey, including both faculties and staff, responded to the study questionnaire through their workplace email addresses, which were kept confidential by the hospital\u27s human resource department. Thus, the response rate to the study was 81.4%. In this study, the overall readiness level for EHR adoption was 73.4% [95% CI: 95.5% and 51.3%]. Computer literacy, computer access at health facilities at home and work, awareness about EHRs, perceived benefit, and negative impact of EHRs were significantly associated with overall healthcare providers\u27 readiness for EHR adoption using a p-value less than 0.05 as a cut point.Conclusion: The study discovered significant factors in healthcare providers\u27 readiness for EHR deployment. The healthcare providers who were less than 35 years and greater than 26, those with more than six years and less than ten years of work experience, those who were familiar with EHRs, and those with higher computer literacy were more prepared. These findings offer useful insights into the characteristics of providers who are more likely to accept EHRs, underlining the importance of addressing concerns and adjusting policies to ensure effective EHR adoption

The prognosis of oral epithelial dysplasia and oral squamous cell carcinoma in individuals with oral lichen planus: a single-centre observational study and a pioneer preliminary exploration of UK national Electronic Health Records

Head and neck squamous cell carcinoma (HNSCC) is a significant public health problem worldwide due to its high mortality and morbidity. A notable proportion of HNSCC, particularly oral squamous cell carcinoma (OSCC), is preceded by several long-standing chronic oral mucosal diseases including oral lichen planus (OLP). However, it remains largely unknown regarding the impact of a pre-existing OLP upon the prognosis and behaviour of OSCC and its precursor, oral epithelial dysplasia (OED). Therefore, this PhD thesis has sought to determine the influence of OLP on the long-term behaviour and prognosis of oral epithelial dysplasia (OED) and oral squamous cell carcinoma (OSCC) using data from a single UK tertiary care centre. Additionally, this thesis has made the first steps towards providing understanding of the epidemiology of HNSCC in a representative sample with common chronic oral mucosal conditions including oral lichen planus, oral submucous fibrosis, leukoplakia and periodontal diseases of the UK population. A retrospective cohort study of 299 patients with OED revealed that individuals with OED arising on a background of OLP appeared to be at higher risk of developing new primary OEDs up to 3 years (in the early years) after the first diagnosis of OED compared to those without OLP. However, the risk of malignant progression was similar between the two groups. This thesis built on these findings by investigating the impact of OLP in determining the long-term behaviour and prognosis of OSCC using a retrospective cohort study of 285 patients with OSCC. The results indicated that patients with OSCC-associated OLP were more likely to develop multiple and multifocal new primary dysplastic and OSCC events following their first oral malignancy. Despite this, there seems to be no significant association between OLP and mortality. In order to reveal more about the relationship between long-standing oral mucosal conditions and HNSCC using national-scale data, this thesis went beyond single data sources. This project provides a detailed method for appropriate data handling and curation of a linked national database of a UK population (the CALIBER platform). This allowed the development and validation of a reliable phenotype algorithm to identify patients with HNSCC from this data platform. Taken together, these findings advance understanding of the impact of OLP on the behaviour and prognosis of OED and OSCC. In addition, the HSNCC phenotype algorithm developed here represents an important step towards understanding the association between common chronic oral mucosal conditions and HNSCC in the UK

Dynamic Resource Allocation For Coordination Of Inpatient Operations In Hospitals

Healthcare systems face difficult challenges such as increasing complexity of processes, inefficient utilization of resources, high pressure to enhance the quality of care and services, and the need to balance and coordinate the staff workload. Therefore, the need for effective and efficient processes of delivering healthcare services increases. Data-driven approaches, including operations research and predictive modeling, can help overcome these challenges and improve the performance of health systems in terms of quality, cost, patient health outcomes and satisfaction. Hospitals are a key component of healthcare systems with many scarce resources such as caregivers (nurses, physicians) and expensive facilities/equipment. Most hospital systems in the developed world have employed some form of an Electronic Health Record (EHR) system in recent years to improve information flow, health outcomes, and reduce costs. While EHR systems form a critical data backbone, there is a need for platforms that can allow coordinated orchestration of the relatively complex healthcare operations. Information available in EHR systems can play a significant role in providing better operational coordination between different departments/services in the hospital through optimized task/resource allocation. In this research, we propose a dynamic real-time coordination framework for resource and task assignment to improve patient flow and resource utilization across the emergency department (ED) and inpatient unit (IU) network within hospitals. The scope of patient flow coordination includes ED, IUs, environmental services responsible for room/bed cleaning/turnaround, and patient transport services. EDs across the U.S. routinely suffer from extended patient waiting times during admission from the ED to the hospital\u27s inpatient units, also known as ED patient `boarding\u27. This ED patient boarding not only compromises patient health outcomes but also blocks access to ED care for new patients from increased bed occupancy. There are also significant cost implications as well as increased stress and hazards to staff. We carry out this research with the goal of enabling two different modes of coordination implementation across the ED-to-IU network to reduce ED patient boarding: Reactive and Proactive. The proposed `reactive\u27 coordination approach is relatively easy to implement in the presence of modern EHR and hospital IT management systems for it relies only on real-time information readily available in most hospitals. This approach focuses on managing the flow of patients at the end of their ED care and being admitted to specific inpatient units. We developed a deterministic dynamic real-time coordination model for resource and task assignment across the ED-to-IU network using mixed-integer programming. The proposed \u27proactive\u27 coordination approach relies on the power of predictive analytics that anticipate ED patient admissions into the hospital as they are still undergoing ED care. The proactive approach potentially allows additional lead-time for coordinating downstream resources, however, it requires the ability to accurately predict ED patient admissions, target IU for admission, as well as the remaining length-of-stay (care) within the ED. Numerous other studies have demonstrated that modern EHR systems combined with advances in data mining and machine learning methods can indeed facilitate such predictions, with reasonable accuracy. The proposed proactive coordination optimization model extends the reactive deterministic MIP model to account for uncertainties associated with ED patient admission predictions, leading to an effective and efficient proactive stochastic MIP model. Both the reactive and proactive coordination methods have been developed to account for numerous real-world operational requirements (e.g., rolling planning horizon, event-based optimization and task assignments, schedule stability management, patient overflow management, gender matching requirements for IU rooms with double occupancy, patient isolation requirements, equity in staff utilization and equity in reducing ED patient waiting times) and computational efficiency (e.g., through model decomposition and efficient construction of scenarios for proactive coordination). We demonstrate the effectiveness of the proposed models using data from a leading healthcare facility in SE-Michigan, U.S. Results suggest that even the highly practical optimization enabled reactive coordination can lead to dramatic reduction in ED patient boarding times. Results also suggest that signification additional reductions in patient boarding are possible through the proposed proactive approach in the presence of reliable analytics models for prediction ED patient admissions and remaining ED length-of-stay. Future research can focus on further extending the scope of coordination to include admissions management (including any necessary approvals from insurance), coordination needs for admissions that stem from outside the ED (e.g., elective surgeries), as well as ambulance diversions to manage patient flows across the region and hospital networks

Creating a Quality Improvement Toolkit to Identify & Address Gaps in the Care of Older Adults with Hip Fracture

Introduction: Traumatic hip fracture remains a major cause of disability, decline, and mortality for adults over 65. Gaps remain in the consistency of care and services hip fracture patients receive during hospitalization and post-discharge, leading to adverse outcomes, including MI, surgical site infection, poorly managed pain, and increased mortality. To help address these inconsistencies, the AAOS released updated clinical practice guidelines for management of hip fracture care in the elderly in 2014. These guidelines examine the entire hospitalization process for this population and set forth evidence-based standards to assist with improving outcomes for hip fracture patients. Objectives: Five of the highest-strength AAOS guidelines were deemed as priority by the parent company of the hospital of interest, because of a desire to move toward system-wide standardization in caring for hip fracture patients. Standardization of hip fracture care across all organizations could help to reduce adverse events, improve patient satisfaction, reduce costs, and decrease length of hospital stay for this population. To prepare for standardization, a local hospital organization where this doctoral project took place was interested in evaluating care currently provided to their hip fracture population. The purpose of this project was to create a quality improvement toolkit to assist the organization in evaluating their current hip fracture care, allowing them to identify and address any current gaps in care this population may experience. On completion, the toolkit was presented to the organization and could be used as a future guide to improve care provided to their hip fracture patients. Implications: Literature supports evidence-based standards of care all older adult hip fracture patients should receive throughout hospitalization. To provide patients with the best care possible, organizations must routinely examine their care of these patients against best practice and adjust and improve as needed. Doing so may help improve outcomes for this population

Issues of the adoption of HIT related standards at the decision-making stage of six tertiary healthcare organisations in Saudi Arabia

Due to interoperability barriers between clinical information systems, healthcare organisations are facing potential limitations with regard to acquiring the benefits such systems offer; in particular, in terms of reducing the cost of medical services. However, to achieve the level of interoperability required to reduce these problems, a high degree of consensus is required regarding health data standards. Although such standards essentially constitute a solution to the interoperability barriers mentioned above, the level of adoption of these standards remains frustratingly low. One reason for this is that health data standards are an authoritative field in which marketplace mechanisms do not work owing to the fact that health data standards developed for a particular market cannot, in general, be applied in other markets without modification. Many countries have launched national initiatives to develop and promote national health data standards but, although certain authors have mapped the landscape of the standardisation process for health data in some countries, these studies have failed to explain why the healthcare organisations seem unwilling to adopt those standards. In addressing this gap in the literature, a conceptual model of the adoption process of HIT related standards at the decision-making stage in healthcare organisations is proposed in this research. This model was based on two predominant theories regarding IT related standards in the IS field: Rogers paradigm (1995) and the economics of standards theory. In addition, the twenty one constructs of this model resulted from a comprehensive set of factors derived from the related literature; these were then grouped in accordance with the Technology-Organisation Environment (TOE), a well-known taxonomy within innovation adoption studies in the IS field. Moving from a conceptual to an empirical position, an interpretive, exploratory, multiple-case study methodology was conducted in Saudi Arabia to examine the proposed model. The empirical qualitative evidence gained necessitated some revision to be made to the proposed model. One factor was abandoned, four were modified and eight new factors were added. This consistent empirical model makes a novel contribution at two levels. First, with regard to the body of knowledge in the IS area, this model offers an in-depth understanding of the adoption process of HIT related standards which the literature still lacks. It also examines the applicability of IS theories in a new area which allows others to relate their experiences to those reported. Secondly, this model can be used by decision makers in the healthcare sector, particularly those in developing countries, as a guideline while planning for the adoption of health data standards