How to assure the quality of clinical records? A 7-year experience in a large academic hospital.

INTRODUCTION: Clinical record (CR) is the primary tool used by healthcare workers (HCWs) to record clinical information and its completeness can help achieve safer practices. CR is the most appropriate source in order to measure and evaluate the quality of care. In order to achieve a safety climate is fundamental to involve a responsive healthcare workforce thorough peer-review and feedbacks. This study aims to develop a peer-review tool for clinical records quality assurance, presenting the seven-year experience in the evolution of it; secondary aims are to describe the CR completeness and HCWs' diligence toward recording information in it. METHODS: To assess the completeness of CRs a peer-review tool was developed in a large Academic Hospital of Northern Italy. This tool included measurable items that examined different themes, moments and levels of the clinical process. Data were collected every three months between 2010 and 2016 by appointed and trained HCWs from 42 Units; the hospital Quality Unit was responsible for of processing and validating them. Variations in the proportion of CR completeness were assessed using Cochran-Armitage test for trends. RESULTS: A total of 9,408 CRs were evaluated. Overall CR completeness improved significantly from 79.6% in 2010 to 86.5% in 2016 (p<0.001). Doctors' attitude showed a trend similar to the overall completeness, while nurses improved more consistently (p<0.001). Most items exploring themes, moments and levels registered a significant improvement in the early years, then flattened in last years. Results of the validation process were always above the cut-off of 75%. CONCLUSIONS: This peer-review tool enabled the Quality Unit and hospital leadership to obtain a reliable picture of CRs completeness, while involving the HCWs in the quality evaluation. The completeness of CR showed an overall positive and significant trend during these seven years.

Why enterprise resource planning initiatives do succeed in the long run: A case-based causal network.

Despite remarkable academic efforts, why Enterprise Resource Planning (ERP) post-implementation success occurs still remains elusive. A reason for this shortage may be the insufficient addressing of an ERP-specific interior boundary condition, i.e., the multi-stakeholder perspective, in explaining this phenomenon. This issue may entail a gap between how ERP success is supposed to occur and how ERP success may actually occur, leading to theoretical inconsistency when investigating its causal roots. Through a case-based, inductive approach, this manuscript presents an ERP success causal network that embeds the overlooked boundary condition and offers a theoretical explanation of why the most relevant observed causal relationships may occur. The results provide a deeper understanding of the ERP success causal mechanisms and informative managerial suggestions to steer ERP initiatives towards long-haul success.

Módulo Medios diagnósticos para el Sistema de Información Hospitalaria XAVIA HIS / Diagnostic Means Module for the XAVIA HIS Hospital Information System

El Sistema de Información Hospitalaria XAVIA HIS desarrollado por el Centro de Informática Médica (CESIM) está compuesto por módulos que aseguran la informatización de los procesos de las áreas de la institución hospitalaria. En la actualidad la gestión de los principales medios de diagnóstico se realiza de forma dispersa en diferentes módulos o sistemas. En este trabajo se presenta el módulo de Medios de Diagnóstico, desarrollo que permite la gestión de informes de solicitudes y resultados de forma configurable, así como la planificación de horarios y gestión de citas. Se analizó el proceso de negocio asociado a la gestión de información de medios de diagnóstico, se realizó un estudio de sistemas existentes con propósitos similares y se evaluaron tecnologías para su implementación. Se utilizó AUP-UCI como metodología de desarrollo, Java como lenguaje de programación y otras tecnologías libres y multiplataforma. El patrón arquitectónico implementado fue modelo-vista-controlador. El módulo de Medios de Diagnóstico del sistema XAVIA HIS, permite el soporte de los procesos de atención al paciente y la integración de la información sobre los medios de diagnóstico, además fomenta un aumento en la calidad del servicio. El módulo facilita la configuración de aspectos de solicitud e informe de las pruebas diagnósticas y la planificación de horarios y citas(AU)

Hospital Information System XAVIA HIS developed by the Medical Informatics Center (CESIM) is made up of modules that ensure the computerization of hospital institution areas processes. Currently, the management of the main diagnostic means is realized in a dispersed way in different modules or systems. This paper presents the Diagnostic Means module, development that allows the requests and results reports management in a configurable way, as well as the schedules planning and appointments management. The business process associated with the diagnostic means information management was analyzed, an existing systems study with similar purposes was carried out, and technologies for their implementation were evaluated. AUP-UCI were used as development methodology, Java as programming language and other free and multiplatform technologies. The architectural pattern implemented was model-view-controller. The XAVIA HIS system Diagnostic Means module, allows the patient care processes support and integration of information regarding diagnostic means, also encourages an increase in the service quality. The module facilitates the request and report aspects configuration of the diagnostic tests and the schedules and appointments planning(AU)

Assessing the quality of clinical and administrative data extracted from hospitals: the General Medicine Inpatient Initiative (GEMINI) experience.

OBJECTIVE: Large clinical databases are increasingly used for research and quality improvement. We describe an approach to data quality assessment from the General Medicine Inpatient Initiative (GEMINI), which collects and standardizes administrative and clinical data from hospitals. METHODS: The GEMINI database contained 245 559 patient admissions at 7 hospitals in Ontario, Canada from 2010 to 2017. We performed 7 computational data quality checks and iteratively re-extracted data from hospitals to correct problems. Thereafter, GEMINI data were compared to data that were manually abstracted from the hospital's electronic medical record for 23 419 selected data points on a sample of 7488 patients. RESULTS: Computational checks flagged 103 potential data quality issues, which were either corrected or documented to inform future analysis. For example, we identified the inclusion of canceled radiology tests, a time shift of transfusion data, and mistakenly processing the chemical symbol for sodium ("Na") as a missing value. Manual validation identified 1 important data quality issue that was not detected by computational checks: transfusion dates and times at 1 site were unreliable. Apart from that single issue, across all data tables, GEMINI data had high overall accuracy (ranging from 98%-100%), sensitivity (95%-100%), specificity (99%-100%), positive predictive value (93%-100%), and negative predictive value (99%-100%) compared to the gold standard. DISCUSSION AND CONCLUSION: Computational data quality checks with iterative re-extraction facilitated reliable data collection from hospitals but missed 1 critical quality issue. Combining computational and manual approaches may be optimal for assessing the quality of large multisite clinical databases.

Patients want to be seen: The top 3 information needs of patients with inguinal hernia.

BACKGROUND: Good patient information has shown to improve surgical outcomes. In this study we explore what kind of pre-surgical information patients need and if the provision of a 360˚ video of a surgical procedure can be of added value to the information provided by the hospital. METHODS: An explorative qualitative study using semi-structured interviews on information needs was conducted among 17 inguinal hernia patients to gain more insight in the patients' present surgical information needs. Patients either were planned to receive or already had received a surgical procedure. Questions were asked about the current information provision and, after being shown a 360˚ video of the surgery, whether this would be of added value. RESULTS: Of the total group of 17 patients (mean age 56, interquartile range 45-64) 16 were male and one was female. Most had no previous experience with virtual reality (14/17), already had undergone a surgical procedure (11/17). Patient information needs were all about "seeing" which can be viewed from three different perspectives [1] being seen as a unique person in the treatment process, [2] being seen as a partner, and [3] seeing is understanding. Patients wanted the contact with the doctor to be more personal, with the possibility to see the anesthetist in person, the surgeon to see their wound in the recovery phase, and to receive personal answers to questions about their specific situation. Patients found the 360-video not fearsome, and believed that visual content could be beneficial as it appeals more to their imagination than written or oral information and increases their understanding. It also provided them with a better understanding of their treatment options, their pre-, peri-, and post-surgical procedures and identification of the cause of post-operative side effects. CONCLUSION: To address patients' information needs, complementary tools or services are needed that increase personal contact as well as tailor it to individual patient's needs. Even though video-apps are a partial alternative, hospitals should still offer patients the possibility of having face-to-face meetings with physicians as this is highly valued by patients and leads to increased trust in physicians' performance.

Routine Health Information System (RHIS) improvements for strengthened health system management.

BACKGROUND: A well-functioning routine health information system (RHIS) can provide the information needed for health system management, for governance, accountability, planning, policy making, surveillance and quality improvement, but poor information support has been identified as a major obstacle for improving health system management. OBJECTIVES: To assess the effects of interventions to improve routine health information systems in terms of RHIS performance, and also, in terms of improved health system management performance, and improved patient and population health outcomes. SEARCH METHODS: We searched the Cochrane Central Register of Controlled Trials (CENTRAL) in the Cochrane Library, MEDLINE Ovid and Embase Ovid in May 2019. We searched Global Health, Ovid and PsycInfo in April 2016. In January 2020 we searched for grey literature in the Grey Literature Report and in OpenGrey, and for ongoing trials using the International Clinical Trials Registry Platform (ICTRP) and ClinicalTrials.gov. In October 2019 we also did a cited reference search using Web of Science, and a 'similar articles' search in PubMed. SELECTION CRITERIA: Randomised and non-randomised trials, controlled before-after studies and time-series studies comparing routine health information system interventions, with controls, in primary, hospital or community health care settings. Participants included clinical staff and management, district management and community health workers using routine information systems. DATA COLLECTION AND ANALYSIS: Two authors independently reviewed records to identify studies for inclusion, extracted data from the included studies and assessed the risk of bias. Interventions and outcomes were too varied across studies to allow for pooled risk analysis. We present a 'Summary of findings' table for each intervention comparisons broadly categorised into Technical and Organisational (or a combination), and report outcomes on data quality and service quality. We used the GRADE approach to assess the certainty of the evidence. MAIN RESULTS: We included six studies: four cluster randomised trials and two controlled before-after studies, from Africa and South America. Three studies evaluated technical interventions, one study evaluated an organisational intervention, and two studies evaluated a combination of technical and organisational interventions. Four studies reported on data quality and six studies reported on service quality. In terms of data quality, a web-based electronic TB laboratory information system probably reduces the length of time to reporting of TB test results, and probably reduces the overall rate of recording errors of TB test results, compared to a paper-based system (moderate certainty evidence). We are uncertain about the effect of the electronic laboratory information system on the recording rate of serious (misidentification) errors for TB test results compared to a paper-based system (very low certainty evidence). Misidentification errors are inaccuracies in transferring test results between an electronic register and patients' clinical charts. We are also uncertain about the effect of the intervention on service quality (timeliness of starting or changing a patient's TB treatment) (very low certainty evidence). A hand-held electronic device probably improves the length of time to report TB test results, and probably reduces the total frequency of recording errors in TB test results between the laboratory notebook and the electronic information record system, compared to a paper-based system (moderate-certainty evidence). We are, however, uncertain about the effect of the intervention on the frequency of serious (misidentification) errors in recording between the laboratory notebook and the electronic information record, compared to a paper-based system (very low certainty evidence). We are uncertain about the effect of a hospital electronic health information system on service quality (length of time outpatients spend at hospital, length of hospital stay, and hospital revenue collection), compared to a paper-based system (very low certainty evidence). High-intensity brief text messaging (SMS) may make little or no difference to data quality (in terms of completeness of documentation of pregnancy outcomes), compared to low-intensity brief text messaging (low-certainty evidence). We are uncertain about the effect of electronic drug stock notification (with either data management support or product transfer support) on service quality (in terms of transporting stock and stock levels), compared to paper-based stock notification (very low certainty evidence). We are uncertain about the effect of health information strengthening (where it is part of comprehensive service quality improvement intervention) on service quality (health worker motivation, receipt of training by health workers, health information index scores, quality of clinical observation of children and adults) (very low certainty evidence). AUTHORS' CONCLUSIONS: The review indicates mixed effects of mainly technical interventions to improve data quality, with gaps in evidence on interventions aimed at enhancing data-informed health system management. There is a gap in interventions studying information support beyond clinical management, such as for human resources, finances, drug supply and governance. We need to have a better understanding of the causal mechanisms by which information support may affect change in management decision-making, to inform robust intervention design and evaluation methods.

Factors Influencing Information Service Quality of China Hospital: The Case Study of since 2017 of a Hospital Information Platform in China.

Background: As a country with the largest number of netizens around the world, China enjoys improving social information services based on the Internet. With such a large quantity of network users, it is inevitable for China's hospitals at various levels to provide patients and the public with information services by setting up their own official websites. But it is still elusive for the factors affecting the information service quality of China Hospital. Objective: Identifies the factors affecting the information service quality of the case of the Online website of a hospital in China.adding new content to the research fruits in this field. The research can effectively enhance the efficiency of hospital resource utilization, allocating limited resources to most efficient areas and leveling up the information service quality of hospitals to the largest extent. This ultimately improves patient satisfaction. Method: This research investigates the factors affecting the information service quality of the case of a Chinese hospital online website and by means of Delphi method, statistical analysis, and other research methods, formulates the Evaluation Indicator System for the Information Service Quality of the case of the Online website of a hospital in China. The research applies this system to the empirical research on the information service quality of the hospital's website and then makes a comparative analysis between the research results and traffic data of the websites of other hospitals over the same period. Results: By means of the Bivariate Correlation, the author carried out a correlation analysis of the comprehensive evaluations of the information service of the Online website of a hospital in China and the traffic data of the Online website of a hospital in China, including the total traffic, PV and UV. For details of the analysis results, indicates that the correlation coefficient among the three objects is 1, a significant correlation. It also suggests that the comprehensive evaluations of the information service of A Chinese hospital website and the traffic of A Chinese hospital website are positively correlated. The information service quality of China Hospital website is an important component of the hospital's overall service quality. This research on the information service quality of China Hospital website covers the website's service functions, service quality, resources and the front-end and back-end technology systems. Discussion and conclusion: In the case that the China Hospital information service function is still not perfect, perfecting the functions of China Hospital website plays a decisive role in improving the information service quality of the hospital. In addition, it can be inferred that after the information service function of China Hospital website is improved or the evaluation of the functional quality attribute of website information service scores higher, the supporting attribute of website information service will be the next key task for the hospital in enhancing its information service quality is the improvement ratio of Functional quality attribute of website information service and the supporting attribute of website information service tend to be the same., And even the improvement rate of the supporting attribute is sometimes higher than the improvement rate of Functional quality. So The construction of a model of the comprehensive evaluation system on the information service of has pointed out a new direction in China's research in this field, This model is both of high theoretical value and practical value.

Estrategia para la implantación del Sistema XAVIA HIS en instituciones hospitalarias / Strategy to Implant the System XAVIA HIS in Hospital Institutions

El Centro de Informática médica (CESIM) de la Universidad de las Ciencias Informáticas (UCI) desarrolla el Sistema de Información Hospitalaria XAVIA HIS. El éxito en la implantación es de gran importancia para el CESIM, no obstante, los proyectos de implantación se han visto incididos por un conjunto de insuficiencias. El objetivo de la investigación es desarrollar una estrategia que contribuya a aumentar el éxito en la definición del alcance de los proyectos de implantación del sistema XAVIA HIS, en instituciones de salud. Se realizó un estudio descriptivo, que incluyó como escenario de aplicación el Centro Nacional de Cirugía de Mínimo Acceso, entre 2015 y 2017. Como resultado se obtuvo una estrategia para la implantación del sistema XAVIA HIS en instituciones de salud, que impacta positivamente en la disminución del tiempo necesario para este fin(AU)

University of Computer Sciences (UCI) develops the XAVIA HIS Hospital Information System. The implement success of the system is of great importance for CESIM, however, this stage have been affected by a set of insufficiencies. The objective of the research is to develop a strategy that contributes to increasing success in defining the scope of projects to implement XAVIA HIS system in health institutions. A descriptive study was carried out, which included as an application scenario the National Center for Minimally Access Surgery, between 2015 and 2017. As a result, a strategy to implement XAVIA HIS system in health institutions was obtained, which positively impacts the decrease of time necessary for this purpose(AU)

Developing a national minimum data set for hospital information systems in the Islamic Republic of Iran.

BACKGROUND: Standardized data collection supports disease information management and leads to better quality of care. The Islamic Republic of Iran lacks a standard data set for data collection in hospitals. AIMS: The aim of this study was to design a minimum data set for hospital information systems in the Islamic Republic of Iran. METHODS: This study was conducted in 2015. Data sets of other countries, hospital records, hospital information systems and electronic health record systems in the Islamic Republic of Iran were reviewed for data elements for the minimum data set. Data elements were collected using a data extraction form and were categorized into similar classes, which were divided into administrative and clinical sections. The list of data elements was reviewed by experts in technical offices of the Iranian Ministry of Health and Medical Education, and a minimum data set was drawn up. RESULTS: There were nine and 18 data classes in the administrative and clinical sections with a total of 166 and 684 data elements respectively. After review by the expert panel, 159 administrative and 621 clinical data elements were retained as the minimum data set for the Iranian hospital information system. CONCLUSION: Our dataset can be used by the Iranian health ministry, hospital information system companies and health surveillance centres for more efficient management of health data.

Anesthesia Information Management Systems in the Czech Republic from the Perspective of Early Adopters.

Although theoretical studies on Anesthesia Information Management Systems (AIMS) have proved their benefits, much less attention has been paid to researching the actual adoption of AIMS. Only a few studies from the USA and Western Europe have been published up to now. The purpose of this article is to assess the adoption, motivation for, and barriers to, usage of AIMS from the perspective of early Czech adopters of these systems. A questionnaire was used to gather adopters' views on motivating factors, benefits encountered after introduction and obstacles perceived to adopting AIMS. Data about usage, costs and functionalities of each of the AIMS was obtained using semi-structured telephone interviews prior to sending out the questionnaire. Five AIMS from three different vendors in four academic hospitals (20% of Czech hospitals of this type) were identified. Improved clinical documentation and convenience for anesthesiologists was reported from every site. Lack of funds, however, was identified as the primary barrier to further adoption. The cost of introduction of AIMS per operating room varied between 1000 and 40,000 US dollars. Although the number of AIMS in the Czech Republic is limited, findings suggest that benefits have been experienced on every site. Findings corroborate previous studies from the USA and Western Europe.

Accuracy of Administrative Hospital Data to Identify Use of Life Support Modalities. A Canadian Study.

Rationale: Accurately identifying use of life support in hospital administrative data enhances the data's value for quality improvement and research in critical illness.Objectives: To assess the accuracy of administrative hospital data for identifying invasive mechanical ventilation (IMV), acute renal replacement therapy (RRT), and intravenous vasoactive drugs in unselected adult intensive care unit (ICU) patients.Methods: We employed the administrative dataset of the Discharge Abstract Database from the Province of Manitoba during 2007-2012, using nationally standardized diagnosis and procedure codes to identify the three types of life support. The criterion standard was the Winnipeg ICU Database, which contains daily clinical information about all admissions to all 11 adult ICUs within the Winnipeg Regional Health Authority. For all individuals aged 40 years or older at ICU admission, we calculated sensitivity, specificity, positive predictive value (PPV), and negative predictive value of the administrative data for identifying life support. We also assessed the ability of the administrative data to identify overlapping use of the forms of life support.Results: Over the study period, there were 20,764 eligible ICU admissions; 52.6% (10,914) involved IMV, 46.8% (9,724) involved vasoactive agents, and 4.4% (907) involved acute RRT. Identification of IMV from administrative data procedure codes was good, with all four parameters exceeding 90%. The procedure code for use of selected vasoactive drugs had a sensitivity of zero; addition of diagnosis codes for shock raised the sensitivity to only 23% (95% confidence interval [CI], 22-24%). Both the sensitivity and specificity for acute RRT procedure codes exceeded 92%, but owing to low prevalence of RRT, the PPV was only 55% (95% CI, 53-58%). Addition of diagnosis codes for acute renal failure did not appreciably improve performance. Overlapping use of the three types of life support was substantial. Among those receiving any one of the types of life support, 68-76% received at least one of the two other types assessed. Considering use of any one or more of the three forms of life support, the administrative data had a PPV of 97% (95% CI, 96-97%) and a negative predictive value of 69% (95% CI, 68-70%).Conclusions: Administrative data accurately identify IMV but not use of vasoactive drugs or acute RRT.

General Data Protection Regulation in Health Clinics.

The focus on personal data has merited the EU concerns and attention, resulting in the legislative change regarding privacy and the protection of personal data. The General Data Protection Regulation (GDPR) aims to reform existing measures on the protection of personal data of European Union citizens, with a strong impact on the rights and freedoms of individuals in establishing rules for the processing of personal data. The GDPR considers a special category of personal data, the health data, being these considered as sensitive data and subject to special conditions regarding treatment and access by third parties. This work presents the evolution of the applicability of the Regulation (EU) 2016/679 six months after its application in Portuguese health clinics. The results of the present study are discussed in the light of future literature and work are identified.

Perceptions and Experiences of Hospital Nurses During Transition to an Electronic Handover Informatics System.

An effective patient transfer, or handover, among healthcare professionals can help prevent communication-related medical errors, and a reliable electronic handover informatics system can standardize the handoff process. Adapting to a new handover system may cause stress for nurses. This descriptive qualitative study aimed to explore the perceptions and transition experiences of hospital nurses in adopting and adapting to a new handover informatics system. Thirty-eight nurses at a medical center in Taiwan participated in the study from December 2016 to January 2017. The researcher conducted five focus group interviews and analyzed all responses using content analysis. Results showed three major themes: "Perceptions of challenges and barriers related to the transition to a new handover informatics system," "Perceptions of benefits and strategies to the transition to a new handover informatics system," and "Suggestions for successful implementation of a new handover informatics system." Five subthemes emerged from the first theme, and six subthemes emerged from the second theme. The results of this study could enhance our understanding of nurses' perceptions and experiences with transition to a new handover informatics system and could provide a reference for hospitals to develop individualized strategies to facilitate the implementation of a handover informatics system.

A Smartphone App for Improving Clinical Photography in Emergency Departments: Comparative Study.

BACKGROUND: Digital photography is crucial for electronic medical records (EMRs), particularly for documenting dermatological diseases and traumatic wounds. In modern emergency departments (EDs), digital cameras are commonly used for photography, but the process is time-consuming. The problems of addressing patient privacy issues and that of interruptions and heavy workloads can cause archival errors when uploading photos. However, smartphones are widely available and cheap, so with a suitable app many errors could be mitigated. OBJECTIVE: The aim of this study is to design and test a smartphone app to improve the efficiency of clinical photography and improve patient privacy in the ED. The app is connected to the hospital information system to verify patient identification and enable archiving, and the app can automatically delete images after upload to the patient's EMR. METHODS: This study enrolled 48 experienced ED nurses trained in clinical photography. Each nurse was first assigned a digital camera for photography and then a smartphone with the app preinstalled after it was launched. The time taken to upload images to a patient's EMR was then recorded and the efficiency of the digital camera and app groups were compared. RESULTS: The average time taken to upload images to a patient's EMR for the camera and app groups were 96.3 s (SD 19.3; P<.001) and 26.3 s (SD 4.7; P<.001), respectively. CONCLUSIONS: The app effectively reduced processing time and improved clinical photography efficiency in the ED. Some issues of patient privacy in the camera group were revealed and resolved in the app group.

[Comparison of current critical care information systems from the perspective of clinical users : Summary of the results of a German nationwide survey]. / Vergleich aktueller Patientendatenmanagementsysteme in der Intensivmedizin aus Sicht der klinischen Nutzer : Zusammenfassung der Ergebnisse einer deutschlandweiten Umfrage.

BACKGROUND: Critical care information systems (CCIS) are computer-based systems designed to process the growing amount of complex medical data in intensive care units (ICU). Previous studies have shown that CCICs can increase the quality of patient care by reducing errors and improving work efficiency; however, other studies have shown that CCISs can also cause harmful effects by disrupting workflow, facilitating medication errors or increasing charting time. The factors that decide whether a CCIS has a positive or negative impact on patient care are summarized under the term "usability". This article summarizes the results of three previously published papers on this topic. OBJECTIVE: The aim of the study was to identify which CCIS functions were considered useful by clinical ICU staff and how well these functions are implemented in the CCISs currently used in German ICUs. MATERIAL AND METHODS: An online survey was performed targeting nurses and physicians working in German ICUs using a previously validated questionnaire. The questionnaire included a list of functions (36 for physicians/31 for nurses) that were preselected by experts based on a comprehensive model of ICU work processes. Each of these functions was rated by the study participants on a Likert scale ranging from 0 (worst rating) to 5 (best rating) with respect to the usefulness to identify which functions of CCIS can truly be considered as useful by clinical ICU staff. Furthermore, the participants rated how well these functions were implemented in the CCIS currently in use on the ICU, also using a Likert scale of 0-5. Further questions were provided to rate specific technical usability aspects of the CCISs currently in use. In addition, to capture possible confounders the questionnaire recorded 18 individual and workspace characteristics which might influence the ratings. RESULTS: A total of 171 nurses and 741 physicians participated in the survey of which 535 used CCISs. Of the functions 33 were rated as useful for doctors and 28 functions for nurses with median scores between 4 and 5. Participants currently using CCISs gave higher ratings compared to participants not using CCISs. The quality of the functions was rated relatively lower than the usefulness and the availability. Furthermore, currently used CCISs in Germany differ greatly in their technical and task-specific usability. Of the CCISs investigated, the system ICUData had the best overall rating and technical usability followed by the systems ICM and MetaVision. The same three CCIS were rated best in task-specific functions without significant differences between them. CONCLUSION: Those functions that were identified as useful based on the ratings of clinical ICU staff should be implemented in current CCIS. The list of these functions might be regarded as a first step towards providing a catalog of functional requirements for CCISs. Furthermore, as the results show that the quality of the available functions was rated lower than the availability of the functions, manufacturers should shift more of the effort away from the development of new features and focus on improving the user-friendliness and quality of existing functions.

[Quality of the diagnoses' coding (main or associated diagnoses) in the medico-administrative database for psychiatric care (RIM-P) in 2015 and 2016, France]. / Qualité du codage des diagnostics et motifs de prise en charge (principal et associés) dans le recueil d'informations médicalisé en psychiatrie (RIM-P) en 2015 et 2016, France.

BACKGROUND: Based on the observation of the misuse of ICD-10 to code the diagnoses in the RIM-P (lack of completeness, conformity and diversity), the Technical Agency for information on Hospital Care (ATIH), which provides tools for collecting medical information, conducted two actions in 2016. First, a chapter devoted to the instructions of coding has been written in the methodological guide of production of the RIM-P, second, a variable "type psy" was added to the ICD-10 nomenclature's file framing ICD-10 coding in the RIM-P. The purpose of this study is to describe the quality of diagnosis coding using ICD-10 in the RIM-P in 2015 and 2016. METHODS: The quality of diagnosis coding using ICD-10 in the summaries of activity of the RIM-P national databases was described in 2015 and 2016. The study focused on the completeness, the conformity and the diversity of coding. RESULTS: Between 2015 and 2016, the percentage of summaries without primary diagnosis ("DP") decreased slightly for full-time (5.2% vs. 3.8%), part-time (6.3% vs. 4.9%) inpatient stays and outpatient care (9.9% vs. 8.9%). ICD-10 codes used to code DP or associated diagnosis ("DA"), while prohibited, mainly belong to Chapter V Mental and behavioral disorders. Per year, only one-third of the summaries and one-half of patients had two or more ICD-10 codes reported for inpatient stays (one-fifth of the summaries and one-fourth of the patients for outpatient care). In addition, per year and per facility, the average number of distinct ICD-10 codes used to fill "DP" or "DA" was approximately half as important in part-time hospitalization, as in full-time hospitalization or for outpatient care. Moreover, 90% of the health facilities used<550 distinct ICD-10 codes in full-time inpatient stays,<270 in part-time inpatient stays and<950 for outpatient care to code the "DP" or the "DA". The diversity of ICD-10 codes used was low and similar between 2015 and 2016, especially to describe the socio-economic environment, resistance to treatment or non-compliance. CONCLUSION: This study emphasizes the need for a collective effort to improve the diversity of the diagnoses' coding in the RIM-P.

Assessment of Employee Susceptibility to Phishing Attacks at US Health Care Institutions.

Importance: Cybersecurity is an increasingly important threat to health care delivery, and email phishing is a major attack vector against hospital employees. Objective: To describe the practice of phishing simulation and the extent to which health care employees are vulnerable to phishing simulations. Design, Setting, and Participants: Retrospective, multicenter quality improvement study of a convenience sample of 6 geographically dispersed US health care institutions that ran phishing simulations from August 1, 2011, through April 10, 2018. The specific institutions are anonymized herein for security and privacy concerns. Exposures: Simulated phishing emails received by employees at US health care institutions. Main Outcomes and Measures: Date of phishing campaign, campaign number, number of emails sent, number of emails clicked, and email content. Emails were classified into 3 categories (office related, personal, or information technology related). Results: The final study sample included 6 anonymized US health care institutions, 95 simulated phishing campaigns, and 2 971 945 emails, 422 062 of which were clicked (14.2%). The median institutional click rates for campaigns ranged from 7.4% (interquartile range [IQR], 5.8%-9.6%) to 30.7% (IQR, 25.2%-34.4%), with an overall median click rate of 16.7% (IQR, 8.3%-24.2%) across all campaigns and institutions. In the regression model, repeated phishing campaigns were associated with decreased odds of clicking on a subsequent phishing email (adjusted OR, 0.511; 95% CI, 0.382-0.685 for 6-10 campaigns; adjusted OR, 0.335; 95% CI, 0.282-0.398 for >10 campaigns). Conclusions and Relevance: Among a sample of US health care institutions that sent phishing simulations, almost 1 in 7 simulated emails sent were clicked on by employees. Increasing campaigns were associated with decreased odds of clicking on a phishing email, suggesting a potential benefit of phishing simulation and awareness. With cyberattacks increasing against US health care systems, these click rates represent a major cybersecurity risk for hospitals.

Electronic whiteboards improve the acute surgical patient admission process.

BACKGROUND: Electronic whiteboards have largely replaced the use of traditional whiteboards in many hospital departments. They are used to electronically record and display a variety of patient information to streamline the admission process and the quality of handover between relevant staff. We assessed the impact of such a system upon the patient admission process in a busy general surgery department. METHODS: A survey of 12 qualitative questions was completed by surgical registrars working within a general surgery department in 2013 prior to the introduction of electronic whiteboards and again in 2016 after introduction. The questions compared the satisfaction of the admission process before and after its introduction. RESULTS: There was an improvement in staff satisfaction with the admissions process after the introduction of electronic whiteboards (78% vs 9% high level of satisfaction, p<0.05). A statistically non-significant rise was also seen in individual areas of the admissions and handover process. No change was seen in staff attitude to security of patient details (50% vs 42% high level of satisfaction, p=0.671). CONCLUSION: Electronic whiteboards assist in the process of admitting patients to a general surgical department. This strengthens the case for the introduction of electronic whiteboards across a range of hospital departments.

Integración de técnicas de Minería de procesos para la detección de la variabilidad en procesos hospitalarios desde sistemas automatizados / Integrating mining processes techniques in hospital procedures for the detection of variability from their information systems

Los sistemas de información hospitalaria cuentan con un volumen importante de datos, sin embargo, carecen de mecanismos que permitan analizar la ejecución de los procesos e identificar variabilidad. La variabilidad puede observarse en prácticamente cada paso del proceso asistencial y a varios niveles de agrupación: poblacional e individual. Desde el punto de vista poblacional se comparan tasas de realización de un procedimiento clínico, como pueden ser intervenciones quirúrgicas o ingresos hospitalarios en un período de tiempo. Las técnicas de minería de procesos analizan los datos reales de sistemas informáticos y son útiles para la detección de variabilidad en la ejecución de los procesos de negocio. La presente investigación propone la aplicación de técnicas de minería de procesos, seleccionadas a partir de un riguroso estudio del estado del arte, para el análisis de los procesos hospitalarios desde sus sistemas de información y materializadas en un modelo computacional. El Modelo para la Detección de Variabilidad (MDV) se instrumentó exitosamente en el sistema XAVIA HIS desarrollado por la Universidad de las Ciencias Informáticas UCI, donde fueron adaptadas e integradas las técnicas de minería de procesos. El modelo MDV contribuye al proceso de informatización de la salud en Cuba. La solución propicia la utilización de una tecnología emergente en áreas como la industrial y empresarial en el entorno sanitario. Esta beneficia importantes funciones gerenciales como la gestión, control y planificación de recursos y servicios sanitarios(AU)

The hospital information systems collect an important volume of data, however, they lack mechanisms to analyze the execution of the processes and identify variability. In practically every step of the care process and at various levels of grouping: population and individual the variability is present. From a population point of view, performance rates of a clinical procedure such as surgical interventions or hospital admissions, are compared over time. Process mining techniques analyze the real data of computer systems and are useful for the detection of variability in the execution of business processes. Based on a rigorous study of the state of the art, this research proposes the application of process mining techniques for the analysis of hospital processes from their information systems, providing a computational model. Model for Variability Detection (MDV) implemented successfully in the XAVIA HIS system developed by the UCI University of Informatics Sciences, where techniques of process mining were adapted and integrated. The MDV model contributes to the process of computerization of health in Cuba. The solution encourages the use of an emerging technology in areas such as industrial and business in the healthcare environment. This benefits important management functions such as control and planning of resources and health services(AU)

Integración de técnicas de Minería de procesos para la detección de la variabilidad en procesos hospitalarios desde sistemas automatizados / Integrating mining processes techniques in hospital procedures for the detection of variability from their information systems

Los sistemas de información hospitalaria cuentan con un volumen importante de datos, sin embargo, carecen de mecanismos que permitan analizar la ejecución de los procesos e identificar variabilidad. La variabilidad puede observarse en prácticamente cada paso del proceso asistencial y a varios niveles de agrupación: poblacional e individual. Desde el punto de vista poblacional se comparan tasas de realización de un procedimiento clínico, como pueden ser intervenciones quirúrgicas o ingresos hospitalarios en un período de tiempo. Las técnicas de minería de procesos analizan los datos reales de sistemas informáticos y son útiles para la detección de variabilidad en la ejecución de los procesos de negocio. La presente investigación propone la aplicación de técnicas de minería de procesos, seleccionadas a partir de un riguroso estudio del estado del arte, para el análisis de los procesos hospitalarios desde sus sistemas de información y materializadas en un modelo computacional. El Modelo para la Detección de Variabilidad (MDV) se instrumentó exitosamente en el sistema XAVIA HIS desarrollado por la Universidad de las Ciencias Informáticas UCI, donde fueron adaptadas e integradas las técnicas de minería de procesos. El modelo MDV contribuye al proceso de informatización de la salud en Cuba. La solución propicia la utilización de una tecnología emergente en áreas como la industrial y empresarial en el entorno sanitario. Esta beneficia importantes funciones gerenciales como la gestión, control y planificación de recursos y servicios sanitarios(AU)

The hospital information systems collect an important volume of data, however, they lack mechanisms to analyze the execution of the processes and identify variability. In practically every step of the care process and at various levels of grouping: population and individual the variability is present. From a population point of view, performance rates of a clinical procedure such as surgical interventions or hospital admissions, are compared over time. Process mining techniques analyze the real data of computer systems and are useful for the detection of variability in the execution of business processes. Based on a rigorous study of the state of the art, this research proposes the application of process mining techniques for the analysis of hospital processes from their information systems, providing a computational model. Model for Variability Detection (MDV) implemented successfully in the XAVIA HIS system developed by the UCI University of Informatics Sciences, where techniques of process mining were adapted and integrated. The MDV model contributes to the process of computerization of health in Cuba. The solution encourages the use of an emerging technology in areas such as industrial and business in the healthcare environment. This benefits important management functions such as control and planning of resources and health services(AU)