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Nursing admissions process redesigned to leverage EHR.

Among the challenges facing nurses in acute care facilities are duplicate documentation, complex rules for coordinating care, and pressure to accelerate patient discharge. Christiana Care, a two-hospital, 900-bed health system in Delaware, redesigned its nursing admissions process to address these issues and provide a centralized source of assessment information. An interdisciplinary team redesigned the assessment process to leverage the clinical documentation, decision support, and workflow tools of Christiana Care's evolving electronic health record. Nurses use a wireless device at the patient's bedside to enter admission information. A series of decision-support rules evaluate the information and send electronic referrals to appropriate ancillary departments. Departments electronically document interventions that can be tracked by nursing, closing the loop.A dedicated rollout coordinator and system-generated audit reports were critical to early identification and resolution of several implementation problems. The new process has not only simplified the work of nursing but led to more appropriate referrals to the ancillary departments. More than 25 percent of the patients have information imported from a previous encounter, eliminating duplicate documentation and improving patient satisfaction. Admission information also is being used to monitor and support a variety of quality efforts, including core measures.

Delaware↗

Impacts of computerized physician documentation in a teaching hospital: perceptions of faculty and resident physicians.

OBJECTIVE: Computerized physician documentation (CPD) has been implemented throughout the nation's Veterans Affairs Medical Centers (VAMCs) and is likely to increasingly replace handwritten documentation in other institutions. The use of this technology may affect educational and clinical activities, yet little has been reported in this regard. The authors conducted a qualitative study to determine the perceived impacts of CPD among faculty and housestaff in a VAMC. DESIGN: A cross-sectional study was conducted using semistructured interviews with faculty (n = 10) and a group interview with residents (n = 10) at a VAMC teaching hospital. MEASUREMENTS: Content analysis of field notes and taped transcripts were done by two independent reviewers using a grounded theory approach. Findings were validated using member checking and peer debriefing. RESULTS: Four major themes were identified: (1) improved availability of documentation; (2) changes in work processes and communication; (3) alterations in document structure and content; and (4) mistakes, concerns, and decreased confidence in the data. With a few exceptions, subjects felt documentation was more available, with benefits for education and patient care. Other impacts of CPD were largely seen as detrimental to aspects of clinical practice and education, including documentation quality, workflow, professional communication, and patient care. CONCLUSION: CPD is perceived to have substantial positive and negative impacts on clinical and educational activities and environments. Care should be taken when designing, implementing, and using such systems to avoid or minimize any harmful impacts. More research is needed to assess the extent of the impacts identified and to determine the best strategies to effectively deal with them.

Attitude of Health Personnel↗

Molecular Diagnostics for WHO Priority Bacterial Pathogens: A Bibliometric Mapping of Diagnostic Platforms, Resistance Markers, and Antimicrobial Resistance Research Trends.

Antimicrobial resistance (AMR) constrains effective treatment and carries implications for infection control, surveillance, and public health. The World Health Organization (WHO) priority bacterial pathogen framework has intensified the need for diagnostic innovation by redefining research priorities around organisms combining high disease burden with complex resistance profiles. Molecular diagnostics have accordingly moved beyond culture-based workflows, integrating rapid pathogen identification, resistance-marker detection, genomic surveillance, and clinical decision support. The present study conducted a bibliometric mapping of the literature on WHO priority pathogens. Rather than addressing resistance at a general level or a single pathogen or technology, it integrates priority pathogens, molecular platforms, and resistance markers within a single framework, tracing their joint thematic and temporal evolution along an explicit pathogen-platform-marker axis. Scopus-indexed articles and reviews (2000-2025) were retrieved, yielding 1746 publications after screening adapted from the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Analyses used Bibliometrix/Biblioshiny, R, and VOSviewer. The literature expanded markedly after 2018, led by China and the United States. Methicillin-resistant Staphylococcus aureus (MRSA), Mycobacterium tuberculosis, Enterococcus faecium, and the Enterobacterales-carbapenemase axis constituted the principal thematic cores, whereas conventional polymerase chain reaction (PCR)/nucleic acid amplification testing (NAAT) and whole-genome sequencing were the dominant platforms. Overall, the field has evolved from pathogen detection into an AMR-centered translational domain encompassing resistance prediction, genomic epidemiology, surveillance, and clinical decision support. Diagnostic development, stewardship, and surveillance depend on hybrid workflows coupling rapid marker-targeted assays with genome-based characterization, delivering actionable resistance within clinically meaningful timeframes, and extending coverage to underrepresented pathogens and platforms.

Humans↗

Correction of patient positioning errors based on in-line cone beam CTs: clinical implementation and first experiences.

BACKGROUND: The purpose of the study was the clinical implementation of a kV cone beam CT (CBCT) for setup correction in radiotherapy. PATIENTS AND METHODS: For evaluation of the setup correction workflow, six tumor patients (lung cancer, sacral chordoma, head-and-neck and paraspinal tumor, and two prostate cancer patients) were selected. All patients were treated with fractionated stereotactic radiotherapy, five of them with intensity modulated radiotherapy (IMRT). For patient fixation, a scotch cast body frame or a vacuum pillow, each in combination with a scotch cast head mask, were used. The imaging equipment, consisting of an x-ray tube and a flat panel imager (FPI), was attached to a Siemens linear accelerator according to the in-line approach, i.e. with the imaging beam mounted opposite to the treatment beam sharing the same isocenter. For dose delivery, the treatment beam has to traverse the FPI which is mounted in the accessory tray below the multi-leaf collimator. For each patient, a predefined number of imaging projections over a range of at least 200 degrees were acquired. The fast reconstruction of the 3D-CBCT dataset was done with an implementation of the Feldkamp-David-Kress (FDK) algorithm. For the registration of the treatment planning CT with the acquired CBCT, an automatic mutual information matcher and manual matching was used. RESULTS AND DISCUSSION: Bony landmarks were easily detected and the table shifts for correction of setup deviations could be automatically calculated in all cases. The image quality was sufficient for a visual comparison of the desired target point with the isocenter visible on the CBCT. Soft tissue contrast was problematic for the prostate of an obese patient, but good in the lung tumor case. The detected maximum setup deviation was 3 mm for patients fixated with the body frame, and 6 mm for patients positioned in the vacuum pillow. Using an action level of 2 mm translational error, a target point correction was carried out in 4 cases. The additional workload of the described workflow compared to a normal treatment fraction led to an extra time of about 10-12 minutes, which can be further reduced by streamlining the different steps. CONCLUSION: The cone beam CT attached to a LINAC allows the acquisition of a CT scan of the patient in treatment position directly before treatment. Its image quality is sufficient for determining target point correction vectors. With the presented workflow, a target point correction within a clinically reasonable time frame is possible. This increases the treatment precision, and potentially the complex patient fixation techniques will become dispensable.

Automation↗

A patient-controlled journal for an electronic medical record: issues and challenges.

Partners Healthcare System, Boston, MA, has developed a patient Web portal that features a patient-controlled electronic "journal" to allow patients to interact with their physician's electronic medical record. Patients can view and respond to health reminders, critique electronic chart information maintained by their doctor's office, enter additional clinical information, and prepare information summaries before an office visit. Creating shared information resources to support a collaborative care model required analysis of the business, architectural, and workflow requirements of the patient-controlled clinical portal and the physician-controlled electronic medical record system. In this paper we describe the challenges in aligning the two systems and serving the different user groups. Coupling the Patient Gateway system, serving over 8700 patients of 90 physicians as of September, 2003, with the Longitudinal Medical Record system, serving over 4000 physicians, has required a clear definition of user goals and workflow, well-defined interfaces, and careful consideration of system assumptions to succeed.

Ambulatory Care Information Systems↗

A generic concept for large-scale microarray analysis dedicated to medical diagnostics.

BACKGROUND: The development of diagnostic procedures based on microarray analysis confronts the bioinformatician and the biomedical researcher with a variety of challenges. Microarrays generate a huge amount of data. There are many, not yet clearly defined, data processing steps and many clinical response variables which may not match gene expression patterns. OBJECTIVES: To design a generic concept for largescale microarray experiments dedicated to medical diagnostics; to create a system capable of handling several 1000 microarrays per analysis and more than 100 clinical response variables; to design a standardized workflow for quality control, data calibration, identification of differentially expressed genes and estimation of classification accuracy; and to provide a user-friendly interface for clinical researchers with respect to biomedical interpretation. METHODS: We designed a database structure suitable for the storage of microarray data and analysis results. We applied statistical procedures to identify differential genes and developed a technique to estimate classification accuracy of gene patterns with confidence intervals. RESULTS: We implemented a Gene Analysis Management System (GAMS) based on this concept, using MySQL for data storage, R/Bioconductor for analysis and PHP for a web-based front-end for the exploration of microarray data and analysis results. This system was utilized with large data sets from several medical disciplines, mainly from oncology (approximately 2000 microarrays). CONCLUSIONS: A systematic approach is necessary for the analysis of microarray experiments in a medical diagnostics setting to get comprehensible results. Due to the complexity of the analysis, data processing (by bioinformaticians) and interactive exploration of results (by biomedical experts) should be separated.

Adult↗

ERP (enterprise resource planning) systems can streamline healthcare business functions.

Enterprise resource planning (ERP) software applications are designed to facilitate the systemwide integration of complex processes and functions across a large enterprise consisting of many internal and external constituents. Although most currently available ERP applications generally are tailored to the needs of the manufacturing industry, many large healthcare systems are investigating these applications. Due to the significant differences between manufacturing and patient care, ERP-based systems do not easily translate to the healthcare setting. In particular, the lack of clinical standardization impedes the use of ERP systems for clinical integration. Nonetheless, an ERP-based system can help a healthcare organization integrate many functions, including patient scheduling, human resources management, workload forecasting, and management of workflow, that are not directly dependent on clinical decision making.

Delivery of Health Care, Integrated↗

A balanced evaluation perspective: picture archiving and communication system impacts on hospital workflow.

Around the world, hospitals are faced with both budget and regulatory pressures, forcing them to re-examine the way clinical practice is carried out. Proposed technologies that provide workflow enhancements include Picture Archiving and Communications Systems (PACS); however, is PACS really effective in improving hospital workflow and the flow onto patient care, and how should this be evaluated? An acknowledged and successful approach for organizational evaluation is the Balanced Scorecard (BSC), providing the fundamental features for assessing organizations from various perspectives. In this research, the impact of PACS on the workflow of a large public hospital in Melbourne, Australia, is examined using an adapted version of the BSC. Empirically, this model was applied as an evaluation instrument through a series of in-depth interviews with PACS users. Results show that PACS did improve hospital workflow considerably and that the organizational alignment of PACS in hospitals is an important critical success factor.

Efficiency, Organizational↗

Applying workflow analysis tools to assess immunization delivery in outpatient primary care settings.

BACKGROUND: As health care organizations face increasing pressure to institute quality assurance activities, the already-underfunded community clinics that treat the poor and underserved are challenged to perform these activities within tight constraints of human and financial resources. With pediatric immunizations as a marker, a workflow observation tool was used to identify causal processes affecting immunization delivery. METHODS: Ten clinics and five private practices, located in areas designated as health professional shortage areas, participated in the study, gaining access to a tool that would have been unaffordable to them from the private sector. Trained observers followed families through the clinic, using a 127-item workflow observation form--the Observational Checklist of Patient Encounters (OCPE)--assessing discrete activities that families encountered during the checkin/pre-exam, exam, discharge, and billing processes. A convenience sampling of the targeted population--children younger than three years of age--included observations of scheduled acute, scheduled well-child, follow-up, and walk-in visits. In the feedback session, a summary of each clinic's immunization delivery patterns was presented, with an emphasis on the individual health center's operational issues. RESULTS: The workflow observation tool was used to identify operational errors affecting both clinical and fiscal processes in each of the clinics that had not been previously apparent to either clinic management or the quality improvement (QI) teams. DISCUSSION: Feedback addressed and encouraged process-oriented improvements in response to the workflow observations, which were incorporated into the clinics' QI procedures. Twelve of the 15 clinics have formed process action teams to address QI issues on an ongoing basis.

Age Factors↗

Clinical, information and business process modeling to promote development of safe and flexible software.

Using a factorial vignette survey and modeling methodology, we developed clinical and information models - incorporating evidence base, key concepts, relevant terms, decision-making and workflow needed to practice safely and effectively - to guide the development of an integrated rule-based knowledge module to support prescribing decisions in asthma. We identified workflows, decision-making factors, factor use, and clinician information requirements. The Unified Modeling Language (UML) and public domain software and knowledge engineering tools (e.g. Protégé) were used, with the Australian GP Data Model as the starting point for expressing information needs. A Web Services service-oriented architecture approach was adopted within which to express functional needs, and clinical processes and workflows were expressed in the Business Process Execution Language (BPEL). This formal analysis and modeling methodology to define and capture the process and logic of prescribing best practice in a reference implementation is fundamental to tackling deficiencies in prescribing decision support software.

Asthma↗

X-ray volume imaging in image-guided radiotherapy.

Treatment simulation has significantly improved the accuracy and precision of radiation therapy delivery. A new generation of therapy systems promises to take the simulation and imaging process to a new level of accuracy; however, this will require changes in the workflow process. We describe the first generation of these devices, review the various imaging options and how they might be used in the clinic to improve treatment outcomes, and suggest several workflow approaches. Workflows discussed include on-line interventional, off-line adaptive, and off-line predictive approaches, with both geometric and dosimetric considerations. These changes will place new knowledge requirements on the medical dosimetrist and will necessitate involvement in the development of new departmental processes.

Computer Simulation↗

AdaptFlow: protocol-based medical treatment using adaptive workflows.

OBJECTIVES: In many medical domains investigator-initiated clinical trials are used to introduce new treatments and hence act as implementations of guideline-based therapies. Trial protocols contain detailed instructions to conduct the therapy and additionally specify reactions to exceptional situations (for instance an infection or a toxicity). To increase quality in health care and raise the number of patients treated according to trial protocols, a consultation system is needed that supports the handling of the complex trial therapy processes efficiently. Our objective was to design and evaluate a consultation system that should 1) observe the status of the therapies currently being applied, 2) offer automatic recognition of exceptional situations and appropriate decision support and 3) provide an automatic adaptation of affected therapy processes to handle exceptional situations. METHODS: We applied a hybrid approach that combines process support for the timely and efficient execution of the therapy processes as offered by workflow management systems with a knowledge and rule base and a mechanism for dynamic workflow adaptation to change running therapy processes if induced by changed patient condition. RESULTS AND CONCLUSIONS: This approach has been implemented in the AdaptFlow prototype. We performed several evaluation studies on the practicability of the approach and the usefulness of the system. These studies show that the AdaptFlow prototype offers adequate support for the execution of real-world investigator-initiated trial protocols and is able to handle a large number of exceptions.

Clinical Protocols↗

A patient workflow management system built on guidelines.

To provide high quality, shared, and distributed medical care, clinical and organizational issues need to be integrated. This work describes a methodology for developing a Patient Workflow Management System, based on a detailed model of both the medical work process and the organizational structure. We assume that the medical work process is represented through clinical practice guidelines, and that an ontological description of the organization is available. Thus, we developed tools 1) for acquiring the medical knowledge contained into a guideline, 2) to translate the derived formalized guideline into a computational formalism, precisely a Petri Net, 3) to maintain different representation levels. The high level representation guarantees that the Patient Workflow follows the guideline prescriptions, while the low level takes into account the specific organization characteristics and allow allocating resources for managing a specific patient in daily practice.

Artificial Intelligence↗

Clinical implementation of the IHE presentation of grouped procedures integration profile in a multivendor environment--workflow modification and barriers to implementation.

The implementation of presentation of grouped procedures (PGP) integration profile, as described in the Integrating the Healthcare Enterprise (IHE) Technical Framework, on computed tomography (CT) and magnetic resonance (MR) scanners as well as the picture archiving communication system (PACS) addresses the problem faced by many institutions in which there are multiple-requested procedures performed in one acquisition. It is a solution that, just like the initial implementation of PACS, requires substantial modification to workflow. Implementation of PGP not only speeds access to relevant images for the requested procedure, it reduces network traffic and is less demanding on workstation hardware because of the smaller data sets transmitted. These workflow issues show that PGP implementation is not complete when the vendors install the necessary hardware and software modifications. This report discusses the workflow modifications and the barriers to implementing the PGP solution.

Data Display↗

Integrating multi-omics technologies to decipher microbiome functions.

Multi-omics approaches have revolutionized our understanding of microbial communities by enabling simultaneous interrogation of genomic, transcriptomic, proteomic, and metabolomic data. The systematic integration and analysis of these deep datasets help decipher the functional roles of microbiomes, providing critical insights into microbial activities, interactions, and dynamics across diverse environments. Biological complexity makes multi-omics analysis of a single, isolated organism demanding but highly informative, yet this complexity increases further when samples comprise hundreds to thousands of individual species. As microbiome research continues to expand into clinical, environmental, and engineered systems, standardized workflows, benchmarked datasets, and community-driven initiatives are essential to ensure reproducibility, standardization and interpretability. Establishing and disseminating best practices for experimental design, data processing, and integrative analyses will be critical for maximizing comparability and scientific rigor across studies. This perspective highlights recent advances in multi-omics microbiome research, outlines key obstacles in data integration and metadata harmonization, and proposes a collaborative roadmap for scalable, FAIR-compliant multi-omics investigations and potentially disruptive Artificial Intelligence (AI) advances comparable to those of AlphaFold in the field of microbiome science.

Multiomics↗

Comparison of PCR/nucleic acid hybridization and EIA for the detection of Chlamydia trachomatis in different populations in a regional centre.

Culture on McCoy cell monolayers has been accepted as the reference method for the detection of Chlamydia trachomatis. Recent studies have shown that polymerase chain reaction (PCR)/nucleic acid hybridization based methods have increased sensitivity over culture while still retaining specificity. In situations where organism viability is of concern, due to factors such as transportation delays, culture is inappropriate. Regional laboratories therefore have not been able to utilize the reference method and have been forced to use less reliable methods. The aims of our study were to assess the feasibility of performing PCR to diagnose infections due to C. trachomatis in a regional laboratory using a new commercial kit--Amplicor (Roche Molecular Systems, Branchburg, NJ) and to compare the current enzyme-immunoassay (EIA) based-methods used in our laboratory (VIDAS [bioMerieux Vitek, Hazelwood MO] and IDEIA [Novo Nordisk Diagnostics, Cambridge, UK]) against PCR. Thirteen positive Amplicor specimens were found in 267 urine specimens collected from asymptomatic adolescent males and females. All 13 were confirmed positive using major outer membrane protein gene PCR (MOMP). VIDAS and IDEIA showed 100% correlation to each other but only detected 5/13 positives. Of 140 consecutive patients attending the regional sexual health clinic, 13 were Amplicor positive, 11/13 MOMP positive and 10/13 positive by VIDAS. Five of 254 patients attending the hospital antenatal clinic were positive by Amplicor, all being confirmed by MOMP. No PCR inhibition was detected in a random sample of 100 varied negative Amplicor tests using a modification of the Amplicor kit. No contamination was experienced. The Amplicor kit was shown to be suitable for use in the routine clinical laboratory with minimal disruption to workflow. For regional laboratories this kit should provide more accurate results than EIA based methods, particularly in the detection of asymptomatic persons.

Adolescent↗

Bioinformatics for medical diagnostics: assessment of microarray data in the context of clinical databases.

MOTIVATION: To identify genes suitable for medical diagnostics microarray data is assessed in the context of clinical databases, which store complex information about the patient phenotype. The wealth of data and lacking standards make it difficult to analyse this kind of data. RESULTS: We present a workflow for exploratory analysis of microarray data together with clinical data consisting of four steps: definition of clinically meaningful research questions in a masterfile, generation of analysis files, selection and characterization of differentially expressed genes, and estimation of classification accuracy. We applied this workflow to large data sets from the field of cardiology and oncology (n~500 patients). Systematic data management of microarray data and clinical data helps to make results more transparent and comparable.

Cardiology↗