Colorectal Surgery Surveillance: A Novel Method for Composing an Automated Real-time Prospective Registry.

BACKGROUND: Medical registries have been shown to be an effective way to improve patient care and reduce costs. Constructing such registries entails extraneous effort of either reviewing medical charts or creating tailored case report forms (CRF). While documentation has shifted from handwritten notes into electronic medical records (EMRs), the majority of information is logged as free text, which is difficult to extract. OBJECTIVES: To construct a tool within the EMR to document patient-related data as codified variables to automatically create a prospective database for all patients undergoing colorectal surgery. METHODS: The hospital's EMR was re-designed to include codified variables within the operative report and patient notes that documented pre-operative history, operative details, postoperative complications, and pathology reports. The EMR was programmed to capture all existing data of interest with manual completion of un-coded variables. RESULTS: During a 6-month pilot study, 130 patients underwent colorectal surgery. Of these, 104 (80%) were logged into the registry on the same day of surgery. The median time to log the rest of the 26 cases was 1 day. Forty-two patients had a postoperative complication. The most common cause for severe complications was an anastomotic leak with a cumulative rate of 12.3. CONCLUSIONS: Re-designing the EMR to enable prospective documentation of surgical related data is a valid method to create an on-going, real-time database that is recorded instantaneously with minimal additional effort and minimal cost.

Developing an Integrated Electronic Medication Reconciliation Platform and Evaluating its Effects on Preventing Potential Duplicated Medications and Reducing 30-Day Medication-Related Hospital Revisits for Inpatients.

The aims were to develop an integrated electronic medication reconciliation (ieMR) platform, evaluate its effects on preventing potential duplicated medications, analyze the distribution of the potential duplicated medications by the Anatomical Therapeutic and Chemical (ATC) code for all inpatients, and determine the rate of 30-day medication-related hospital revisits for a geriatric unit. The study was conducted in a tertiary medical center in Taiwan and involved a retrospective quasi pre-intervention (July 1-November 30, 2015) and post-intervention (October 1-December 31, 2016) study design. A multidisciplinary team developed the ieMR platform covering the process from admission to discharge. The ieMR platform included six modules of an enhanced computer physician order entry system (eCPOE), Pharmaceutical-care, Holistic Care, Bedside Display, Personalized Best Possible Medication Discharge Plan, and Pharmaceutical Care Registration System. The ieMR platform prevented the number of potential duplicated medications from pre (25,196 medications, 2.3%) to post (23,413 medications, 3.8%) phases (OR 1.71, 95% CI, 1.68-1.74; p < .001). The most common potential duplicated medications classified by the ATC codes were cardiovascular system (28.4%), alimentary tract and metabolism (26.4%), and nervous system (14.9%), and by chemical substances were sennoside (12.5%), amlodipine (7.5%), and alprazolam (7.4%). The rate of medication-related 30-day hospital revisits for the geriatric unit was significantly decreased in post-intervention compared with that in pre-intervention (OR = 0.12; 95% CI, 0.03-0.53; p < .01). This study indicated that the ieMR platform significantly prevented the number of potential duplicated medications for inpatients and reduced the rate of 30-day medication-related hospital revisits for the patients on the geriatric unit.

Electronic health record alerts for acute kidney injury: multicenter, randomized clinical trial.

OBJECTIVE: To determine whether electronic health record alerts for acute kidney injury would improve patient outcomes of mortality, dialysis, and progression of acute kidney injury. DESIGN: Double blinded, multicenter, parallel, randomized controlled trial. SETTING: Six hospitals (four teaching and two non-teaching) in the Yale New Haven Health System in Connecticut and Rhode Island, US, ranging from small community hospitals to large tertiary care centers. PARTICIPANTS: 6030 adult inpatients with acute kidney injury, as defined by the Kidney Disease: Improving Global Outcomes (KDIGO) creatinine criteria. INTERVENTIONS: An electronic health record based "pop-up" alert for acute kidney injury with an associated acute kidney injury order set upon provider opening of the patient's medical record. MAIN OUTCOME MEASURES: A composite of progression of acute kidney injury, receipt of dialysis, or death within 14 days of randomization. Prespecified secondary outcomes included outcomes at each hospital and frequency of various care practices for acute kidney injury. RESULTS: 6030 patients were randomized over 22 months. The primary outcome occurred in 653 (21.3%) of 3059 patients with an alert and in 622 (20.9%) of 2971 patients receiving usual care (relative risk 1.02, 95% confidence interval 0.93 to 1.13, P=0.67). Analysis by each hospital showed worse outcomes in the two non-teaching hospitals (n=765, 13%), where alerts were associated with a higher risk of the primary outcome (relative risk 1.49, 95% confidence interval 1.12 to 1.98, P=0.006). More deaths occurred at these centers (15.6% in the alert group v 8.6% in the usual care group, P=0.003). Certain acute kidney injury care practices were increased in the alert group but did not appear to mediate these outcomes. CONCLUSIONS: Alerts did not reduce the risk of our primary outcome among patients in hospital with acute kidney injury. The heterogeneity of effect across clinical centers should lead to a re-evaluation of existing alerting systems for acute kidney injury. TRIAL REGISTRATION: ClinicalTrials.gov NCT02753751.

Towards Interoperability in Clinical Research - Enabling FHIR on the Open-Source Research Platform XNAT.

This paper presents an approach to enable interoperability of the research data management system XNAT by the implementation of the HL7 standards framework Fast Healthcare Interoperability Resources (FHIR). The FHIR implementation is realized as an XNAT plugin (Source code: https://github.com/somnonetz/xnat-fhir-plugin ), that allows easy adoption in arbitrary XNAT instances. The approach is demonstrated on patient data exchange between a FHIR reference implementation and XNAT.

Feasibility of Using EN 13606 Clinical Archetypes for Defining Computable Phenotypes.

INTRODUCTION: Computable phenotypes are gaining importance as structured and reproducible method of using electronic health data to identify people with certain clinical conditions. A formal standard is not available for defining and formally representing phenotyping algorithms. In this paper, we have tried to build a formal representation of such phenotyping algorithm. METHODS: We built EN 13606 EHR standard for building clinical archetypes to represent the computable phenotyping algorithm for 'diagnosis of cardiac failure'. As part of this work, we created a set of new clinical archetypes for defining 'cardiac failure diagnosis'. The EN13606 editor called Object Dictionary Client was used which was in-house developed by University College London. We evaluated the ability of EN 13606 to provide clinical archetypes to define EHR phenotyping algorithms using the predefined desiderata for the purpose [Mo et al]. RESULTS: EN 13606 archetypes could represent phenotype components grouped and nested based on their logical meaning. It was possible to build the EHR phenotyping algorithm with the clinical elements and their interrelationships along with hierarchical structure and temporal criteria. But the specific mathematical calculation and temporal relations involved in the algorithm was difficult to incorporate. These will need to be coded and integrated within the clinical information system. These archetypes can be mapped for comparison with the openEHR models. Binding to external clinical terminology is fully supported. However, it does not satisfy all the desiderata defined by Mo et al. A possible way could be an approach using phenotype ontologies and its architectural representation integrated with ISO interoperability. CONCLUSION: The EN13606 archetypes can be used to define the phenotype algorithm that basically identifies patients by a set of clinical characteristics in their records. Phenotype representations defined in EN 13606 do not satisfy all the desiderata proposed by Mo et al. and thus currently has a limited ability to define the computable phenotyping algorithms. Further work is required to make the EN13606 standard to fully support the objective.

An Experience of Electronic Health Records Implementation in a Mexican Region.

Employing software engineering to build an integrated, standardized, and scalable solution is closely associated with the healthcare domain. Furthermore, new diagnostic techniques have been developed to obtain better results in less time, saving costs, and bringing services closer to the most unprotected areas. This paper presents the integration of a top-notch component, such as hardware, software, telecommunications, and medical equipment, to produce a complete system of Electronic Health Record (EHR). The EHR implementation aims to contribute to the expansion of the health services offer concerning people who live in locations where typically have difficult access to medical care. The methodology throughout the work is a Strategic Planning to set priorities, focus energy and resources, strengthen operations, ensure that directors, managers, employees, and other stakeholders are working toward common goals, establish agreement around intended outcomes/results. A medical and technical team is incorporated to complete the tasks of process and requirements analysis, software coding and design, technical support, training, and coaching for EHR system users throughout the implementation process. The adoption of those tools reflect notably some expected results and benefits on patient care. The EHR implementation ensures that information collection does not duplicate already existing information or duplicate effort and maximize the practical use of the data collected. Moreover, the EHR reduces mistakes in hospital readmissions, improves paperwork, promotes the progress of the state's health care system providing emergency, specialty, and primary health care in a rural area of Campeche. The EHR implementation is critical to support decision making and to promote public health. The total number of consults increased markedly from 2012 (14021) to 2019 (34751). The most commonly treated diseases in this region of Mexico are hypertension (17632) and diabetes (13156). The best results are obtained in the Nutrition (20,61%) and clinical psychology services (16,67%), and the worst levels are registered in pediatric and surgical oncology services where only 1,59% and 1,97% of the patients are admitted in less than 30 min, respectively.

The Development of Medical Markup Language Version 4 as a Clinical Document Exchange Format for Nationwide EHR Systems.

Medical Markup Language (MML) is a standard format for exchange of healthcare data among healthcare providers. Following the last major update (version 3), we developed new modules and discussed the requirements for the next major updates. Subsequently, in 2016 we released MML version 4 and used it to obtain clinical data from healthcare providers for a nationwide electronic health records (EHR) system. In this article we provide an overview of this major update of MML version 4 and discuss its interoperability for clinical data.

How, in what contexts, and why do quality dashboards lead to improvements in care quality in acute hospitals? Protocol for a realist feasibility evaluation.

INTRODUCTION: National audits are used to monitor care quality and safety and are anticipated to reduce unexplained variations in quality by stimulating quality improvement (QI). However, variation within and between providers in the extent of engagement with national audits means that the potential for national audit data to inform QI is not being realised. This study will undertake a feasibility evaluation of QualDash, a quality dashboard designed to support clinical teams and managers to explore data from two national audits, the Myocardial Ischaemia National Audit Project (MINAP) and the Paediatric Intensive Care Audit Network (PICANet). METHODS AND ANALYSIS: Realist evaluation, which involves building, testing and refining theories of how an intervention works, provides an overall framework for this feasibility study. Realist hypotheses that describe how, in what contexts, and why QualDash is expected to provide benefit will be tested across five hospitals. A controlled interrupted time series analysis, using key MINAP and PICANet measures, will provide preliminary evidence of the impact of QualDash, while ethnographic observations and interviews over 12 months will provide initial insight into contexts and mechanisms that lead to those impacts. Feasibility outcomes include the extent to which MINAP and PICANet data are used, data completeness in the audits, and the extent to which participants perceive QualDash to be useful and express the intention to continue using it after the study period. ETHICS AND DISSEMINATION: The study has been approved by the University of Leeds School of Healthcare Research Ethics Committee. Study results will provide an initial understanding of how, in what contexts, and why quality dashboards lead to improvements in care quality. These will be disseminated to academic audiences, study participants, hospital IT departments and national audits. If the results show a trial is feasible, we will disseminate the QualDash software through a stepped wedge cluster randomised trial.

Perspectives from the frontline: A pharmacy department's response to the COVID-19 pandemic.

PURPOSE: The global coronavirus disease 2019 (COVID-19) pandemic has created unprecedented strains on healthcare systems around the world. Challenges surrounding an overwhelming influx of patients with COVID-19 and changes in care dynamics prompt the need for care models and processes that optimize care in this medically complex patient population. The purpose of this report is to describe our institution's strategy to deploy pharmacy resources and standardize pharmacy processes to optimize the management of patients with COVID-19. METHODS: This retrospective, descriptive report characterizes documented pharmacy interventions in the acute care of patients admitted for COVID-19 during the period April 1 to April 15, 2020. Patient monitoring, interprofessional communication, and intervention documentation by pharmacy staff was facilitated through the development of a COVID-19-specific care bundle integrated into the electronic medical record. RESULTS: A total of 1,572 pharmacist interventions were documented in 197 patients who received a total of 15,818 medication days of therapy during the study period. The average number of interventions per patient was 8. The most common interventions were regimen simplification (15.9%), timing and dosing adjustments (15.4%), and antimicrobial therapy and COVID-19 treatment adjustments (15.2%). Patients who were admitted to an intensive care unit care at any point during their hospital stay accounted for 66.7% of all interventions documented. CONCLUSION: A pharmacy department's response to the COVID-19 pandemic was optimized through standardized processes. Pharmacists intervened to address a wide scope of medication-related issues, likely contributing to improved management of COVID-19 patients. Results of our analysis demonstrate the vital role pharmacists play as members of multidisciplinary teams during times of crisis.

Reflections on implementing a hospital-wide provider-based electronic inpatient mortality review system: lessons learnt.

IMPORTANCE: Death due to preventable medical error is a leading cause of death, with varying estimates of preventable death rates (14%-56% of total deaths based on national extrapolated estimates, 3%-11% based on single-centre estimates). Yet, how best to reduce preventable mortality in hospitals remains unknown. OBJECTIVE: In this article, we detail lessons learnt from implementing a hospital-wide, automated, real-time, electronic mortality reporting system that relies on the opinions of front-line clinicians to identify opportunities for improvement. We also summarise data obtained regarding possible preventability, systems issues identified and addressed, and challenges with implementation. We outline our process of survey, evaluation, escalation and tracking of opportunities identified through the review process. METHODS: We aggregated and analysed 7 years of review data regarding deaths, review responses categorised by ratings of possible preventability and inter-rater reliability of possible preventability. A qualitative analysis of reviews was performed to identify care delivery opportunities and institutional response. RESULTS: Over the course of 7 years, 7856 inpatient deaths occurred, and 91% had at least one review completed. 5.2% were rated by front-line clinicians as potentially being preventable (likely or possibly), and this rate was consistent over time. However, there was only slight inter-rater agreement regarding potential preventability (Cohen's kappa=0.185). Nevertheless, several major systems-level opportunities were identified that facilitated care delivery improvements, such as communication challenges, need for improved end-of-life care and interhospital transfer safety. CONCLUSIONS: Through implementation, we found that a hospital-wide mortality review process that elicits feedback from front-line providers is feasible, and provides valuable insights regarding potential preventable mortality and prioritising actionable opportunities for care delivery improvements.

The experience and challenges of healthcare-reform-driven medical consortia and Regional Health Information Technologies in China: A longitudinal study.

OBJECTIVE: To achieve universal access to medical resources-a partial goal of the second ambitious health reform since 2010-the Chinese government aimed to build a regional medical consortium and enhance the efficiency of health information exchange (HIE). We analyzed the experience of constructing a medical consortium in Chinese hospitals, which was based on regional health information technology (RHIT) promoted by HIE. METHOD: In this longitudinal study, we analyzed the results of the annual surveys that were conducted by the China Hospital Information Management Association from 2006 to 2015. The survey results mainly concerned whether hospitals should join the regional medical consortium, the methods used for sharing inter-hospital medical data, and the out-of-hospital information interaction system. The Bass diffusion model was adopted to fit and predict the proportion of Chinese hospitals joining the consortium from 2006 to 2025. RESULT: As of 2015, the survey results of 7272 hospitals were obtained. The proportion of hospitals in partnership systems increased from 3.0% in 2007 to 57.2% in 2015. There has been a rapid development in the electronic sharing of medical data between hospitals. The proportion of hospitals that relied solely on paper documents for data interaction decreased from 43.3% in 2011 to 8.0% in 2015. There was a strong positive linear correlation between hospitals joining the consortium and the accessibility of electronic medical data exchange within hospitals (r = 0.925). The proportions of hospitals that supported dual referral systems and appointments, data browsing between hospitals and regional information systems, and remote consultation services increased to 65.0%, 61.6%, and 81.9% in 2015, as compared to 18.8%, 16.8%, and 10.9% in 2011, respectively. The Bass prediction model showed that the goal of recruiting 90% of the hospitals to the consortium by 2020 will likely be achieved (adjusted R2 = 0.93). CONCLUSION: The Chinese government has applied a top-down, high-level design model to promote the rapid development of a medical consortium, in which the RHIT technologies are crucial technical enabler.

[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.

Effect of Restriction of the Number of Concurrently Open Records in an Electronic Health Record on Wrong-Patient Order Errors: A Randomized Clinical Trial.

Importance: Recommendations in the United States suggest limiting the number of patient records displayed in an electronic health record (EHR) to 1 at a time, although little evidence supports this recommendation. Objective: To assess the risk of wrong-patient orders in an EHR configuration limiting clinicians to 1 record vs allowing up to 4 records opened concurrently. Design, Setting, and Participants: This randomized clinical trial included 3356 clinicians at a large health system in New York and was conducted from October 2015 to April 2017 in emergency department, inpatient, and outpatient settings. Interventions: Clinicians were randomly assigned in a 1:1 ratio to an EHR configuration limiting to 1 patient record open at a time (restricted; n = 1669) or allowing up to 4 records open concurrently (unrestricted; n = 1687). Main Outcomes and Measures: The unit of analysis was the order session, a series of orders placed by a clinician for a single patient. The primary outcome was order sessions that included 1 or more wrong-patient orders identified by the Wrong-Patient Retract-and-Reorder measure (an electronic query that identifies orders placed for a patient, retracted, and then reordered shortly thereafter by the same clinician for a different patient). Results: Among the 3356 clinicians who were randomized (mean [SD] age, 43.1 [12.5] years; mean [SD] experience at study site, 6.5 [6.0] years; 1894 females [56.4%]), all provided order data and were included in the analysis. The study included 12 140 298 orders, in 4 486 631 order sessions, placed for 543 490 patients. There was no significant difference in wrong-patient order sessions per 100 000 in the restricted vs unrestricted group, respectively, overall (90.7 vs 88.0; odds ratio [OR], 1.03 [95% CI, 0.90-1.20]; P = .60) or in any setting (ED: 157.8 vs 161.3, OR, 1.00 [95% CI, 0.83-1.20], P = .96; inpatient: 185.6 vs 185.1, OR, 0.99 [95% CI, 0.89-1.11]; P = .86; or outpatient: 7.9 vs 8.2, OR, 0.94 [95% CI, 0.70-1.28], P = .71). The effect did not differ among settings (P for interaction = .99). In the unrestricted group overall, 66.2% of the order sessions were completed with 1 record open, including 34.5% of ED, 53.7% of inpatient, and 83.4% of outpatient order sessions. Conclusions and Relevance: A strategy that limited clinicians to 1 EHR patient record open compared with a strategy that allowed up to 4 records open concurrently did not reduce the proportion of wrong-patient order errors. However, clinicians in the unrestricted group placed most orders with a single record open, limiting the power of the study to determine whether reducing the number of records open when placing orders reduces the risk of wrong-patient order errors. Trial Registration: clinicaltrials.gov Identifier: NCT02876588.

Highly drug-resistant bacteria: Is intra- and inter-hospital communication optimal?

OBJECTIVES: Communication represents a key component of the control of highly drug-resistant bacteria (HDRB) in healthcare settings. This survey assessed communication strategies developed and adopted in a large hospital network. METHODS: An online survey was sent to 83 infection control specialists working in hospitals of the Pays de la Loire region, France, in June 2016. Internal and external systems of identification and communication of HDRB status (colonized and contact patients) were assessed at the following steps of the hospital pathway: patient admission, during the stay, at discharge, and at readmission. RESULTS: Sixty-one hospitals (73%) participated in the survey: 31 (51%) had recently managed colonized patients and 51 (93%) had recently managed contact patients. At patient admission, 28 (46%) hospitals had an identification system for repatriated patients. During hospital stay, the colonized or contact status was informed in computerized patient records for 47/57 (82%) and 43 (75%) hospitals, respectively. At patient discharge, 56/61 (92%) hospitals declared transmitting the HDRB status to the downstream ward. Twenty-six and 25/60 (43% and 42%) hospitals had an automated alert system at readmission of colonized or contact patients, respectively. This strategy met the expectations of 15/61 (26%) infection control specialists. CONCLUSION: Efforts are still required in terms of communication for HDRB control. Sharing experiences and tools developed by hospitals may be beneficial for the entire hospital network.

Architecture of the Japan Ischemic Heart Disease Multimodal Prospective Data Acquisition for Precision Treatment (J-IMPACT) System.

The utilization of electronic medical records and multimodal medical data is an ideal approach to build a real-time and precision registry type study with a smaller effort and cost, which may fill a gap between evidence-based medicine and the real-world clinical practice. The Japan Ischemic heart disease Multimodal Prospective data Acquisition for preCision Treatment (J-IMPACT) project aimed to build an clinical data registry system that electronically collects not only medical records, but also multimodal data, including coronary angiography and percutaneous coronary intervention (PCI) report, in standardized data formats for clinical studies.The J-IMPACT system comprises the standardized structured medical information exchange (SS-MIX), coronary angiography and intervention reporting system (CAIRS), and multi-purpose clinical data repository system (MCDRS) interconnected within the institutional network. In order to prove the concept, we acquired multimodal medical data of 6 consecutive cases that underwent PCI through the J-IMPACT system in a single center. Data items regarding patient background, laboratory data, prescriptions, and PCI/cardiac catheterization report were correctly acquired through the J-IMPACT system, and the accuracy of the multimodal data of the 4 categories was 100% in all 6 cases.The application of J-IMPACT system to clinical studies not only fills the gaps between randomized clinical trials and real-world medicine, but may also provide real-time big data that reinforces precision treatment for each patient.

Comprehensive overview of computer-based health information tailoring: a systematic scoping review.

OBJECTIVES: To explore the scope of the published literature on computer-tailoring, considering both the development and the evaluation aspects, with the aim of identifying and categorising main approaches and detecting research gaps, tendencies and trends. SETTING: Original researches from any country and healthcare setting. PARTICIPANTS: Patients or health consumers with any health condition regardless of their specific characteristics. METHOD: A systematic scoping review was undertaken based on the York's five-stage framework outlined by Arksey and O'Malley. Five leading databases were searched: PubMed, Scopus, Science Direct, EBSCO and IEEE for articles published between 1990 and 2017. Tailoring concept was investigated for three aspects: system design, information delivery and evaluation. Both quantitative (ie, frequencies) and qualitative (ie, theme analysis) methods have been used to synthesis the data. RESULTS: After reviewing 1320 studies, 360 articles were identified for inclusion. Two main routes were identified in tailoring literature including public health research (64%) and computer science research (17%). The most common facets used for tailoring were sociodemographic (73 %), target behaviour status (59%) and psycho-behavioural determinants (56%), respectively. The analysis showed that only 13% of the studies described the tailoring algorithm they used, from which two approaches revealed: information retrieval (12%) and natural language generation (1%). The systematic mapping of the delivery channel indicated that nearly half of the articles used the web (57%) to deliver the tailored information; printout (19%) and email (10%) came next. Analysis of the evaluation approaches showed that nearly half of the articles (53%) used an outcome-based approach, 44% used process evaluation and 3% assessed cost-effectiveness. CONCLUSIONS: This scoping review can inform researchers to identify the methodological approaches of computer tailoring. Improvements in reporting and conduct are imperative. Further research on tailoring methodology is warranted, and in particular, there is a need for a guideline to standardise reporting.

Design and Implementation of a Message-Based Regional Telemedicine System to Achieve High Availability and Scalability.

BACKGROUND: Different levels of telemedicine systems have been built across China. To share high-quality medical resources and conduct centralized management of telemedicine systems, a regional telemedicine system (RTS) (such as a provincial level system) has been developed to integrate with small-scale telemedicine systems. Although the established systems offer integration services, they are tightly coupled systems, and not easily integrated with new systems. Meanwhile, with the increasing of input/output, it is difficult for them to run with high scalability, considering the cost of architecture redesign and further development. This article presents the design and implementation of regional integration system through a study in Henan, China, mainly aimed to integrate with heterogeneous small-scale telemedicine systems and provide high efficiency. METHODS: A provincial telemedicine system and some city-level telemedicine systems have already been established. The provincial system has been built to act as a regional integration system to connect city-level systems. Adopting message-based technology, the provincial system achieves high availability and high scalability, respectively, through LevelDB + ZooKeeper and multicast. RESULTS: The system achieved the centralized management of established telemedicine systems without restructuring their framework, improving high availability of RTS when one ActiveMQ service node in a group failed, and it did not negatively influence normal business logic when adding a new service node. At the same time, two "Master" state ActiveMQ service nodes provided services simultaneously, which enable the RTS to achieve high scalability. CONCLUSIONS: The message-based regional integration system enriched the RTS with high availability, easy extensibility, and provided a convenient way to integrate new small-scale telemedicine systems.

Deep Learning and Online Video: Advances in Transcription, Automated Indexing, and Manipulation.

In recent years, the amount of video content created and uploaded to the Internet has grown exponentially. Video content has unique accessibility challenges: indexing, transcribing, and searching video has always been very labor intensive, and there were no automated ways of searching videos for specific content. New software tools that use deep learning methods are automating some of these processes, making video content more discoverable and useful. There are also many new tools for processing and manipulating video in interesting ways. This column will briefly discuss the idea of deep learning and how deep learning tools can be used to transcribe, translate, search, and even manipulate videos. It will suggest ways that librarians can use these tools to help their institutions better manage video content. It also includes a list of video-related software tools.

[Challenges of Digital Medicine]. / Herausforderungen der digitalen Medizin.

Challenges of Digital Medicine Abstract. Digitization is increasingly covering more and more sectors, including medicine. To ensure medical operation 365 × 24 hours, progressively more human and financial resources are necessary. The transformation of patient histories from paper into electronic patient records focused initially on documentation. Today, hospital information systems are increasingly used as a platform for the communication of all professionals involved in the patient process - in Switzerland, however, so far without providing patients direct access to their data. Digititizing processes intend to increase efficiency, but also to enhance clinical and administrative decision support and quality assurance. The introduction of the electronic patient record in Switzerland in 2020 is expected to provide cross-company, more complete documentation of patient care. Multimorbid patients, often treated in different institutions and by different specialists, should benefit from this in particular. Advances in artificial intelligence offer new opportunities in medicine. Challenges include ensuring reliable data protection, and better interoperability of the systems involved. Semantically structured, machine-readable data exchange is a necessity for both networked services and internationally competitive research.