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The purpose of this paper is to evaluate the utility of clinical processes in healthcare institutions of different sizes. The implications of adoption rate of computerized physicians order entry (CPOE) and electronic medical/health records (EMRs/EHRs) in different sized healthcare institutions in the USA were studied in terms of understanding its impact on enhancement of quality of patient care.

This study has used secondary data to obtain insights on the processes and technologies used in hospitals of different sizes in the USA and enlighten those in the developing countries to adopt a strategy that would be most appropriate for them. The Dorenfest Institute for H.I.T. Research and Education Analytics database (The Dorenfest Institute, 2011) provided the data for 5,038 US hospitals. Logistic regression was performed to study the impact of the different types of processes and technologies on institutions of different sizes, classified based on the number of beds, physicians, and nurses.

The findings show that small sized hospitals had a positive relationship with drug dosing interactions process and nursing and clinician content process. On the contrary, medium sized hospitals had a negative relationship with the usage of CPOE for entering medical records, i.e. <25 percent (p<0.05). In order to be effective, these institutions should increase the usage of EMRs by more than 25 percent to get positive outcomes. Large hospitals showed a positive relationship with the usage of >75 percent of CPOE to enter medical records and usage of medical records >75 percent.

The authors demonstrate the need for an evaluation of utility of acute care hospitals based on hospital size in terms of number of physicians, and nurses, which have not been dealt earlier by the past studies. Moreover, there is also a need for an evaluation of utility of acute care hospitals for implementation of CPOEs and EMRs that are integrated with clinical decision support systems.

Although the data are US-centric, the insights provided by the results are very much relevant to the Indian scenario to support the improvement of the quality of care. The findings may help those implementing processes in healthcare institutions in India. No study has addressed the measurement of the positive and negative outcomes arising due to the implementation of different percentages of CPOEs and EMRs in different sized institutions. Further the number of physicians and nurses have not been considered earlier. Therefore, the authors have classified the hospitals based on physicians and nurses and studied their impact on the adoption of CPOEs, clinical decision support systems, and EMRs.

Only 55% of patients receive recommended care, with little difference found between care recommended for prevention, to address acute episodes, or to treat chronic conditions (McGlynn et al, 2003). The lag time between the discovery of more effective forms of medical treatment and their incorporation into routine patient care averages seventeen (17) years (IOM). Computerized provider order entry (CPOE) has been widely documented as a necessary tool to reduce preventable medication and other related errors but only 7.4% of acute care hospitals in the United States utilize CPOE with appropriate rules and evidence (HIMSS Analytics). The most fundamental building block for CPOE is the evidence based order set, but complexities associated with creating, managing and updating order sets have introduced major obstacles to CPOE implementation efforts. Chronic conditions such as heart disease, diabetes or arthritis affect more than 130 million Americans directly, and account for 7 in 10 deaths. Further, these chronic conditions consume 75% of all healthcare spending, and account for nearly two-thirds of the growth in health spending over the past 20 years -costing the U. S. economy $1 trillion annually (Almanac of Chronic Conditions, 2008 Edition). Estimates suggest the average patient upon hospitalization has 2.75 diagnoses - meaning "appropriate care" must span and synthesize multiple morbidity-specific best practices to effectively administer care to that "average" patient. The traditional approach to treating patients with evidence based protocols requires a physician to perform an ad hoc exercise of "mental merging" - reconciling duplicate candidate orders across multiple order sets to treat a patient with co-morbidities (today's norm). A more clinically effective, productive, and patient safety-centric alternative is to employ a proprietary software merging algorithm. These advanced algorithms remove duplicate orders, resolve conflicts, completes validation of the appropriate medical evidence and organizes the resulting merged order set so the physician can succinctly address the patients' often complicated treatment by focusing on the unique combination of labs, medications, etc. appropriate for the specific presenting conditions. This article describes a patent-pending propriety method of algorithmically merging multiple independent order sets for patients with co-morbid and chronic conditions into a single, maintenance free and evidence-based order set that can be immediately implemented into physician workflow to satisfy "Meaningful Use" guidelines for incremental provider reimbursement based on the American Recovery and Reinvestment Act (ARRA) legislation.

The purpose of this paper is to better understand how and why adoption and implementation of healthcare IT innovations occur. The authors examine two IT applications, computerised physician order entry (CPOE) and picture archiving and communication systems (PACS) at the meso and micro levels, within the context of the National Programme for IT in the English National Health Service (NHS).

To analyse these multi-level dynamics, the authors blend Rogers’ diffusion of innovations theory (DoIT) with Webster’s sociological critique of technological innovation in medicine and healthcare systems to illuminate a wider range of interacting factors. Qualitative data collected between 2004 and 2006 uses semi-structured, in-depth interviews with 72 stakeholders across four English NHS hospital trusts.

Overall, PACS was more successfully implemented (fully or partially in three out of four trusts) than CPOE (implemented in one trust only). Factors such as perceived benefit to users and attributes of the application – in particular speed, ease of use, reliability and flexibility and levels of readiness – were highly relevant but their influence was modulated through interaction with complex structural and relational issues.

Results reveal that combining contextual system level theories with DoIT increases understanding of real-life processes underpinning implementation of IT innovations within healthcare. They also highlight important drivers affecting success of implementation, including socio-political factors, the social body of practice and degree of “co-construction” between designers and end-users.

The originality of the study partly rests on its methodological innovativeness and its value on critical insights afforded into understanding complex IT implementation programmes.

The purpose of this study was to evaluate the status of US hospital Laboratory Information Systems. Laboratory Information Systems are critical to high quality healthcare service provision. Data show that the need for these systems is growing to meet accompanying technological and workload demands. Additionally, laboratory tests provide the majority of information for clinical decision‐making. Laboratory processes automation, including patient result verification, has greatly improved laboratory test throughput while decreasing turn‐around‐times, enabling critical results to reach physicians rapidly for improved clinical outcomes.

Data were drawn from the 2007 Healthcare Information and Management Systems Society (HIMSS) Analytics Database, which includes over 5,000 US healthcare organizations and provides extensive data on the hardware, software, and information technology infrastructure within healthcare organizations.

US hospitals are actively involved in laboratory systems planning to improve health service quality. Specifically, data show 76 new laboratory information systems are currently being installed in 2007 with another 399 under contract for future installation. As a result, increasing investment in laboratory information systems is providing state‐of‐the‐art clinical laboratory support, which enhances clinical care processes and improves quality. These state‐of‐the‐art Laboratory Information Systems, when linked with other clinical information systems such as Computerized Physician Order Entry and Electronic Medical Record, will support further healthcare quality improvement.

This article includes the most current information available on the US hospital laboratory information system applications.

The purpose of this paper is to discuss the challenges faced in Australia to maintain and sustain quality in pathology services, and present new strategic directions to address such challenges.

The paper is a review of the literature on pathology services and its quality of delivery and emerging issues.

Major issues are emerging in pathology services which threaten to impact on the quality of future service delivery. These issues include workforce shortages, growth in inappropriate testing, advancing technology, rural and remote region servicing, and a negative image of the sector. New strategic directions are shown to be necessary in terms of workforce planning and addressing the escalation of new technology and innovation. In order to sustain quality of services, a significant change from current practice is recommended, with strong leadership as the change driver.

This paper highlights the potential impact of emerging issues on future pathology‐service quality. Significant implications for service delivery and patient care quality are reviewed.

This paper provides valuable information on current strategic and planning issues impacting on pathology services. It provides new solutions from the perspective of leadership of health and health services.

The purpose of this paper is to examine how clinical handoffs affect clinical information quality (IQ) and medication administration quality.

A case study was conducted in a US hospital. The authors applied a business process management (BPM) perspective to analyze an end‐to‐end medication administration process and related handoffs, and accounting control theory (ACT) to examine the impact of handoffs on IQ and medication errors.

The study reveals how handoffs can lead to medication errors (by passing information that is not complete, accurate, timely or valid) and can help reduce errors (by preventing, detecting and correcting information quality flaws or prior clinical mistakes).

The paper reports on one case study on one hospital unit. Future studies can investigate the impact of clinical IQ on patient safety across the multitude of health information technologies (e.g. computerized provider order entry (CPOE), electronic medication administration records (EMAR), and barcode medication administration systems (BCMA)) and approaches to process design and support (e.g. use of clinical pathways and checklists).

The findings can contribute to more successful design, implementation and evaluation of medication administration and other clinical processes, ultimately improving patient safety.

The paper's main contribution is the use of accounting control theory to systematically focus on IQ to evaluate and improve end‐to‐end medical administration processes.

This paper aims to introduce a new acoustic positioning method to solve the problem of space positioning for online inspection robots within the storage tank.

The proposed positioning system comprises two acoustic signal emitters and two receivers. Emitters are brought by the robot into the storage tank. Receivers are mounted on the external edge of the storage tank floor. The spatial coordinate values and motion directions of the robot in the storage tank are calculated by using the proposed acoustic positioning algorithm.

The experiment results and positioning error analysis indicate that the method can obtain the data of robotic space coordinates and motion orientation, while the positioning error of the method can be less than 20 cm. The accuracy reaches the positioning technology level of other tank online inspection robots.

This method not only expands the positioning of the inspection robots from 2D plane to 3D space but also significantly reduces the number of positioning sensors carried by a robot and improves the safety of a robot in the tank.

Adoption of Clinical Decision Support Systems (CDSS) is a crucial step towards the digital transition of the healthcare sector. This review aims to determine and synthesise the influential factors in CDSS adoption in inpatient healthcare settings in order to grasp an understanding of the phenomenon and identify future research gaps.

A systematic literature search of five databases (Medline, EMBASE, PsycINFO, Web of Science and Scopus) was conducted between January 2010 and June 2023. The search strategy was a combination of the following keywords and their synonyms: clinical decision support, hospital or secondary care and influential factors. The quality of studies was evaluated against a 40-point rating scale.

Thirteen papers were systematically reviewed and synthesised and deductively classified into three main constructs of the Technology–Organisation–Environment theory. Scarcity of papers investigating CDSS adoption and its challenges, especially in developing countries, was evident.

This study offers a summative account of challenges in the CDSS procurement process. Strategies to help adopters proactively address the challenges are: (1) Hospital leaders need a clear digital strategy aligned with stakeholders' consensus; (2) Developing modular IT solutions and conducting situational analysis to achieve IT goals; and (3) Government policies, accreditation standards and procurement guidelines play a crucial role in navigating the complex CDSS market.

To the best of the authors’ knowledge, this is the first review to address the adoption and procurement of CDSS. Previous literature only addressed challenges and facilitators within the implementation and post-implementation stages. This study focuses on the firm-level adoption phase of CDSS technology with a theory refining lens.

Key findings from recent and relevant studies on patient safety and clinical handoffs are summarized and analyzed. After briefly reviewing process management and accounting control theory, the aim of this paper is to discuss how these latter two disciplines can be combined to further improve patient safety in handoffs.

A literature review on studies of patient safety, clinical processes and clinical handoffs was conducted in leading medical, quality, and information systems journals.

This paper issues a call for research using a trans‐disciplinary methodology to shed new light on information quality issues in clinical handoff processes, which in turn should improve patient safety.

The literature review employed systematic, heuristic, iterative and practical criteria for identifying and selecting papers, trading off completeness for multi‐disciplinarity. No prior empirical patient safety studies combined process management and accounting control theory.

The above‐noted trans‐disciplinary analytic approach may help medical professionals develop more effective handoff processes, checklists, standard operating procedures (SOPs), clinical pathways, and supporting software, and audit and continuously monitor their implementation.

This paper responds to recent calls for trans‐disciplinary research on healthcare quality improvement. The literature review is valuable for understanding clinical handoff problems and solutions from multiple perspectives. The proposed combination of two theories – accounting control theory and business process management – is novel and useful for describing, improving and monitoring handoff processes in the broader context of clinical processes, using a common terminology for information quality traits.

The purpose of this paper is to illustrate the use of Lean Six Sigma (LSS) and its associated tools to reduce dispensing errors in an inpatient pharmacy of a teaching hospital in Thailand.

The action research methodology was used to illustrate the implementation of Lean Six Sigma through the collaboration between the researcher and participants. The project team followed the Lean Six Sigma Define, Measure, Analyze, Improve, Control (DMAIC) methodology and applied its tools in various phases of the methodology.

The number of dispensing errors decreased from 6 to 2 incidents per 20,000 inpatient days per month between April 2018 and August 2019 representing a 66.66% reduction. The project has improved the dispensing process performance resulting in dispensing error reduction and improved patient safety. The communication channels between the hospital pharmacy and the pharmacy technicians have also been improved.

This study was conducted in an inpatient pharmacy of a teaching hospital in Thailand. Therefore, the findings from this study cannot be generalized beyond the specific setting. However, the findings are applicable in the case of similar contexts and/or situations.

This is the first study that employs a continuous improvement methodology for the purpose of improving the dispensing process and the quality of care in a hospital. This study contributes to an understanding of how the application of action research can save patients' lives, improve patient safety and increase work satisfaction in the pharmacy service.