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Meeting requirements and changing culture. The development of a web-based clinical skills evaluation system.

The Accreditation Council of Graduate Medical Education (ACGME) and the Residency Review Committee require a competency-based, accessible evaluation system. The paper system at our institution did not meet these demands and suffered from low compliance. A diverse committee of internal medicine faculty, program directors, and house staff designed a new clinical evaluation strategy based on ACGME competencies and utilizing a modular web-based system called ResEval. ResEval more effectively met requirements and provided useful data for program and curriculum development. The system is paperless, allows for evaluations at any time, and produces customized evaluation reports, dramatically improving our ability to analyze evaluation data. The use of this novel system and the inclusion of a robust technology infrastructure, repeated training and e-mail reminders, and program leadership commitment resulted in an increase in clinical skills evaluations performed and a rapid change in the workflow and culture of evaluation at our residency program.

Clinical Competence↗

[Manipulator assisted endoscope guidance in functional endoscopic sinus surgery: proof of concept].

BACKGROUND: Functional endoscopic sinus surgery (FESS) is characterized by single-handed preparation and guidance of the endoscope by the nondominant hand. This results in an additional extension of operation time by up to 15% and ergonomic deficits. The aim of this study is the conception of an automated assistance system for FESS in view of the following questions: (1) Which degree of surgical automation is suitable for FESS? (2) Which design is suitable? (3) What are the properties of the technical system (planning, time, accuracy, precision) of the selected system? (4) Does the system offer potential for a clinical application? METHODS: In all 49 FESS were analyzed for surgical workflows. Measurement of the maximum forces within FESS was performed with 40 trials on an anatomical model. Three different mechanical systems were used in ten FESS and evaluated using the ICCAS Human-Machine Evaluation Scale. For realization of automated endoscope guidance an engine-driven and -braked manipulator (PA10-6c, Mitsubishi, Japan) was used. The technical parameters determined were expenditure of time for the preoperative planning of workspace, surgical accuracy and precision of the intraoperative endoscope positioning, maximal forces, and time. RESULTS: Concept-conditioned instrument changes amount to an average of 41.1 and 18.9% (5.21 min) time requirement for each FESS side. Maximum forces on the mucous membrane during a conventional FESS were measured at 9.8 N (5.9-9.8). Usability of the mechanical endoscope holder was estimated in 18 of 20 cases to be inferior to the standard procedure. The time needed for segmenting the intranasal workspace was 15.2 min (10.0-23.0). The maximum deviation of the automatically driven endoscope from a planned position amounted to 0.85 mm (manually 4.64 mm). The maximum force was measured with 1.1 N in the z direction (manually 9.8 N). Automated guidance of the endoscope to an intranasal position needed 7.25 s (6.4-7.9); manually 12.64 s (5.9-43.0). CONCLUSION: Guidance of the endoscope for FESS by an automated motor-driven system is possible. The conception which is based on workflow analysis favors a system with automatic definition of the workspace and a manual movement of the endoscope. The examined system offers a potential for clinical application. Definition of the automation level and development of a man-machine interface is more important than selection or reconstruction of a special manipulator for endoscope guidance in FESS from a surgical point of view.

Endoscopes↗

Implementing customized genomic sequencing reports to empower providers in safety-net neonatal intensive care units.

PURPOSE: Through our implementation study providing rapid genomic sequencing (rGS) in safety-net neonatal intensive care units (NICUs), we investigated the feasibility and perceived usefulness of customized "clinical interpretive reports" (CIRs) to help neonatal providers with interpreting, disclosing, and managing care based on rGS results. METHODS: Enrolled infants received rGS through a clinically accredited vendor. We developed 5 CIR types to provide customized interpretation of rGS results and link results to clinical management considerations, research opportunities, and resources. We developed workflows to triage, create, and deliver CIRs within 3 business days. Providers received the vendor reports and CIRs, disclosed results, and completed post-disclosure surveys. We analyzed summary statistics for the first 100 cases. RESULTS: We delivered 97 of 100 CIRs (97%) within our goal time frame (average 1.3 days) and provided clinical management recommendations in 40 of 100 (40%). Neonatal providers completed the post-disclosure surveys for 86 of 100 disclosures (86%). Most reported using the CIR before disclosure (80/86, 93%) and found it helpful at providing useful information beyond the vendor report (79/80, 99%). CONCLUSION: It is feasible and useful to develop customized rGS reports to assist non-genetics providers in safety-net NICU settings. Similar approaches may hold promise for equitably advancing genomic care in non-NICU settings.

Humans↗

Clinical information systems: strategic imperatives driving IDNs forward.

Reviewing the "state of the art" of clinical information systems in healthcare, one can't help but be struck by how many promises remain unfulfilled. Yes, there have been advances in electronic medical information systems in the past three decades, but in many ways, the same problems exist today that have existed all along. Implementation of clinical information systems (CIS) still requires major changes in workflow. And those core problems continue to dog the progress of integrated healthcare delivery systems, which are struggling to demonstrate value to purchasers, payers, providers, and consumers as they aggregate vertically and horizontally across the continuum. At the same time, mastering the "people" issues, those that revolve around how technology is integrated into the clinical practice of medicine, continues to be the key success factor for producing a usable solution, even with all the advances in hardware and software.

Computer Communication Networks↗

The Age of CT Pulmonary Angiography.

With the introduction of multi detector-row CT (MDCT), computed tomography (CT) has been firmly established as the de facto first line test for imaging patients with suspected pulmonary embolism (PE). However, remaining concerns regarding CT's accuracy for diagnosis of isolated peripheral emboli have prevented the unanimous acceptance of this test as the standard of reference for imaging PE. Consequently, many patients with a chest CT scan negative for PE undergo additional testing for a definitive rule-out of PE, increasing radiation burden, risk of complications, and health care cost. After a decade of uncertainty, there is now conclusive evidence that computed tomography (CT), if positive, provides reliable confirmation of the presence of PE and, more importantly, if negative effectively rules out clinically significant PE. Current endeavors to streamline and facilitate workflow for CT diagnosis of PE will further improve the acceptance, utility, and importance of this test. Thus, rather than seeking further confirmation for the accuracy of CT for PE diagnosis, future efforts ought to be directed at harnessing the unique strengths of this test. Examples include improvements in workflow, CT derivation of right ventricular function parameters for triage and prognostication of patients with acute PE, and the comprehensive assessment of patients with acute chest pain for PE, coronary disease, aortic disease, and pulmonary disease by means of a single, contrast enhanced, ECG-synchronized CT scan. At the same time, efforts must be directed at refining clinical pathways to ensure appropriate use and avoid overutilization of this test.

Humans↗

Inaccessible information is useless information: addressing the knowledge gap.

The burdens of increasing information overload, time constraints, and the high human and financial costs of medical error, mean that doctors cannot practice high quality evidence-based medicine without the aid of decision support systems at the point of care. The physician's role is to formulate a management plan based on clinical judgment, the patient's unique circumstances and preferences, and the best available evidence. Clineguide is a clinical knowledge system that will integrate into the workflow to improve patient outcomes, reduce variability of care, and promote efficiency in the health care process. This article discusses some of the issues surrounding the provision of rapid, accurate, and accessible information to health care professionals.

Decision Support Techniques↗

Acceptability of capillary point-of-care testing: a systematic review.

OBJECTIVE: To identify and synthesise evidence on the acceptability and perceived experience of finger-prick point-of-care testing (POCT) among patients and clinicians across healthcare settings. DESIGN: Systematic review conducted in accordance with Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA 2020) guidelines. DATA SOURCES: Medline, Embase, PsycInfo, CINAHL, Cochrane and Web of Science were searched from inception to January 2024 and re-run in July 2025, supplemented by citation tracking of relevant studies. ELIGIBILITY CRITERIA: Studies reporting patient and clinicians' experiences, perceptions, satisfaction or acceptability relating to finger-prick POCT for any health condition or blood parameter were eligible. Quantitative, qualitative and mixed-methods designs were included. DATA EXTRACTION AND SYNTHESIS: Data were extracted independently by two reviewers and synthesised using thematic analysis and narrative synthesis. Methodological quality was appraised using the Mixed-Methods Appraisal Tool. RESULTS: 21 studies met the inclusion criteria, encompassing 9128 participants (17 quantitative, 3 qualitative, 1 mixed methods). Across diverse clinical contexts, finger-prick POCT was reported as generally acceptable, less distressing and perceived as a convenient alternative to venous sampling in comparative studies. Thematic synthesis identified two major themes: (1) enhancing the patient-clinician relationship through improved engagement, communication and understanding of care and (2) clinical implications of finger-prick POCT on clinicians' workflow, confidence and skill acquisition. Finger-prick POCT was perceived to promote personalised consultations, enable immediate discussion of results and streamline decision-making. Clinicians highlighted its potential to expand task sharing, improve efficiency and strengthen continuity of care, although concerns regarding training, reliability and quality assurance were identified. CONCLUSIONS: Finger-prick POCT is generally acceptable to patients and clinicians, improving comfort, convenience, engagement and perceived efficiency. Implementation should prioritise training, infrastructure and quality assurance frameworks to maximise clinical and experiential benefits. PROSPERO REGISTRATION NUMBER: CRD42024512130.

Humans↗

Using adaptive turnaround documents to electronically acquire structured data in clinical settings.

We developed adaptive turnaround documents (ATDs) to address longstanding challenges inherent in acquiring structured data at the point of care. These computer-generated paper forms both request and receive patient tailored information specifically for electronic storage. In our pilot, we evaluated the usability, accuracy, and user acceptance of an ATD designed to enrich a pediatric preventative care decision support system. The system had an overall digit recognition rate of 98.6% (95% CI: 98.3 to 98.9) and a marksense accuracy of 99.2% (95% CI: 99.1 to 99.3). More importantly, the system reliably extracted all data from 56.6% (95% CI: 53.3 to 59.9) of our pilot forms without the need for a verification step. These results translate to a minimal workflow burden to end users. This suggests that ATDs can serve as an inexpensive, workflow-sensitive means of structured data acquisition in the clinical setting.

Ambulatory Care Information Systems↗

[Effective use of a laboratory database: quality assurance and laboratory workflow applications].

Recent laboratory information systems have usually adopted a client server system. Computing tools which can provide easy access to a database using simple language are now strongly needed. These functions are provided in an End User Computing (EUC) system. An EUC is defined as follows: 1) General end users can easily access the database of the laboraotry system and extract objective data stored in database. 2) The extracted data will be easily converted to files that can be processed by commercially available software. In this paper, we demonstrate the examples how to use the EUC for a quality assurance system and analyses of laboratory workflow. In the case of quality assurance, we demonstrate the setting of reference intervals from stored laboratory data concerning health care examination programs at our university. Secondly, we developed a system of monitoring quality control data, and set parameters for delta checking and actual zone QC method. We can estimate and design an outline of laboratory workflow from extraction of the time currently required for each task. We can measure the turn-around time for laboratory testing and rate of requests for laboratory tests received from physicians via order entry system. Moreover, we can estimate and simulate the waiting time and time required for analyses by outpatient clinics. These time monitoring systems reflect the design of laboratory workflow such as the labor and equipment time required in laboratory work. These uses of laboratory data are currently expanding further and further in the fields of education and laboratory research. We believe that information technology will facilitate future advances of laboratory medicine.

Clinical Laboratory Information Systems↗

Building man-man-machine synergies: experiences from the Vanderbilt and Geneva clinical information systems.

OBJECTIVES: To demonstrate how a transition to an open hospital information system architecture can help foster stronger collaborations between computer-based clinical tools and the network of care process stakeholders. METHODS: Description of two evolution strategies towards an open, component-based architecture: the vertical decomposition of a monolithic system, and the transversal integration of foundation components such as terminology servers, documentation management, prescription, scheduling, workflow and notification engines. CONCLUSION: The progressive migration of production clinical systems towards a component-based architecture is feasible at a reasonable cost and leads to substantial benefits in terms of user acceptance through participative design and collaborative maintenance of knowledge bases, as well as improved ability to evolve, scale and share individual components. A taxonomy of the components of a health information system and their interactions should be developed to realize the collaborative potential of a marketplace of interoperable components.

Decision Support Systems, Clinical↗

Computerized clinical decision-support in respiratory care.

Computers were initially used in health care for billing and administrative functions. More recently computers have been used to present clinical information such as laboratory results and pharmacy orders. Many medical informatics researchers believe that the ultimate goal of the "electronic health record" should be to advance computerized clinical decision-support. This report considers the challenges of developing electronic-health-record systems and integrating them into useful computerized decision-support systems and presents a "pyramid of progress" concept that involves 5 steps: (1) to gather electronic health data into a standardized and coded format, (2) to validate the quality of that electronic health data, (3) to optimize presentation of electronic health data and explore computerized decision-support, (4) to develop and share computerized knowledge bases that are based on clinical evidence as well as consensus, and (5) to tailor and to implement the computerized strategies so that they fit into the workflow process of patient care. This report discusses 3 examples of successful computerized clinical decision-support (use of antibiotics, laboratory alerting, and ventilator management) and discusses strategies essential to making computerized clinical decision-support more widely available and useful.

Data Collection↗

[Selection of a hospital information system--experiences and critical aspects].

Due to typical problems (heterogeneity, lack of clinical functionality, Y2K problems) the board of directors of the university hospital of Marburg decided in 1997 to replace major components of the existing system by commercially available software. The products available on the market were analyzed, and, under participation of different user groups, a comprehensive functional specification was generated. This was the basis for a Europe-wide vendor selection process. In this context, several key aspects were identified, which are critically important for realizing a HIS that fulfills the specified functional requirements. Among these key aspects are the integration of heterogeneous system components, the support of cross-departmental workflow, and flexibility as well as adaptability to specific clinical requirements. As a result, we found that with today's commercially available products and standards there is no single solution that fully meets all requirements. However, some "generalist" vendors are offering integrated systems with acceptable clinical functionality. Tools are emerging which enable the clinical user to generate forms for data input and data flow. Still, a hospital information system will consist of separate components that have to be integrated, but the role of integrated, component-based approaches is becoming more important.

Computer Systems↗

Vocabulary requirements for implementing clinical guidelines in an electronic medical record: a case study.

As part of a larger effort to automate guidelines we determined the number and types of clinical variables required to implement two complex clinical guidelines and the adequacy of the electronic medical record (EMR) to capture them. 178 unique variables were required by both guidelines. Variables were classified as simple (existing observation terms in the EMR), calculated (transformations of simple variables), and complex (requiring multiple simple variables and logical rules for combining them). Many variables are unlikely to be instantiated in an EMR without focused efforts to collect them. In addition, many variables required knowledge that was neither provided in the guideline nor referenced. We conclude that, although the EMR contains the necessary variables to implement these guidelines, successful automated implementation requires unambiguous definition of required terms, incorporation of additional knowledge not provided in the guideline and modification of workflow to collect variables not normally captured in routine clinical care.

Decision Support Systems, Clinical↗

Artificial intelligence agents and agentic artificial intelligence applied to precision medicine.

Precision medicine seeks to individualise care by integrating multimodal biomedical data, yet most deployed clinical artificial intelligence (AI) remains assistive, providing predictions without managing workflows or adapting autonomously. Agentic AI, built on large language models (LLMs), has emerged as a paradigm characterised by autonomy, goal-directed reasoning, memory, planning and tool use. This review synthesises evidence on agentic AI and LLMs applied to precision medicine, encompassing drug discovery, genomics, oncology, rare disease diagnostics and clinical pharmacology. This review also examines architectural components, recent validation milestones and emerging challenges, including hallucination, sociodemographic bias and evolving regulatory frameworks across the FDA, the EU AI Act and the WHO.

agentic AI↗

Genomic Analysis of Circulating Tumor Cells at the Single-Cell Level.

Circulating tumor cells (CTCs) have a great potential for noninvasive diagnosis and real-time monitoring of cancer. A comprehensive evaluation of four whole genome amplification (WGA)/next-generation sequencing workflows for genomic analysis of single CTCs, including PCR-based (GenomePlex and Ampli1), multiple displacement amplification (Repli-g), and hybrid PCR- and multiple displacement amplification-based [multiple annealing and loop-based amplification cycling (MALBAC)] is reported herein. To demonstrate clinical utilities, copy number variations (CNVs) in single CTCs isolated from four patients with squamous non-small-cell lung cancer were profiled. Results indicate that MALBAC and Repli-g WGA have significantly broader genomic coverage compared with GenomePlex and Ampli1. Furthermore, MALBAC coupled with low-pass whole genome sequencing has better coverage breadth, uniformity, and reproducibility and is superior to Repli-g for genome-wide CNV profiling and detecting focal oncogenic amplifications. For mutation analysis, none of the WGA methods were found to achieve sufficient sensitivity and specificity by whole exome sequencing. Finally, profiling of single CTCs from patients with non-small-cell lung cancer revealed potentially clinically relevant CNVs. In conclusion, MALBAC WGA coupled with low-pass whole genome sequencing is a robust workflow for genome-wide CNV profiling at single-cell level and has great potential to be applied in clinical investigations. Nevertheless, data suggest that none of the evaluated single-cell sequencing workflows can reach sufficient sensitivity or specificity for mutation detection required for clinical applications.

Carcinoma, Non-Small-Cell Lung↗

A study of medical emergency workflow.

In this paper, the authors introduce a workflow model. The development of computer network technology enables us to share the distributed data in real time. It is a considerable significance in the practical application of network capabilities not only to office work but also to the medical environment. In order to construct a well-connected, managed post (environment, scene), a model is needed to design the workflow. Here we propose a workflow model to cope with the scene of unforeseen events that we usually encounter in daily clinical activities. We give careful consideration to the ability of this model to manage dynamic changes within the workflow and describe its application to a medical scene (triage) and then carry out simulations based on this model. The authors are able to demonstrate the validity of this model through this simulation.

Computer Simulation↗

Computers in imaging and health care: now and in the future.

Early picture archiving and communication systems (PACS) were characterized by the use of very expensive hardware devices, cumbersome display stations, duplication of database content, lack of interfaces to other clinical information systems, and immaturity in their understanding of the folder manager concepts and workflow reengineering. They were implemented historically at large academic medical centers by biomedical engineers and imaging informaticists. PACS were nonstandard, home-grown projects with mixed clinical acceptance. However, they clearly showed the great potential for PACS and filmless medical imaging. Filmless radiology is a reality today. The advent of efficient softcopy display of images provides a means for dealing with the ever-increasing number of studies and number of images per study. Computer power has increased, and archival storage cost has decreased to the extent that the economics of PACS is justifiable with respect to film. Network bandwidths have increased to allow large studies of many megabytes to arrive at display stations within seconds of examination completion. PACS vendors have recognized the need for efficient workflow and have built systems with intelligence in the management of patient data. Close integration with the hospital information system (HIS)-radiology information system (RIS) is critical for system functionality. Successful implementation of PACS requires integration or interoperation with hospital and radiology information systems. Besides the economic advantages, secure rapid access to all clinical information on patients, including imaging studies, anytime and anywhere, enhances the quality of patient care, although it is difficult to quantify. Medical image management systems are maturing, providing access outside of the radiology department to images and clinical information throughout the hospital or the enterprise via the Internet. Small and medium-sized community hospitals, private practices, and outpatient centers in rural areas will begin realizing the benefits of PACS already realized by the large tertiary care academic medical centers and research institutions. Hand-held devices and the Worldwide Web are going to change the way people communicate and do business. The impact on health care will be huge, including radiology. Computer-aided diagnosis, decision support tools, virtual imaging, and guidance systems will transform our practice as value-added applications utilizing the technologies pushed by PACS development efforts. Outcomes data and the electronic medical record (EMR) will drive our interactions with referring physicians and we expect the radiologist to become the informaticist, a new version of the medical management consultant.

Computers↗