Development of an electronic public health case report using HL7 v2.5 to meet public health needs

Association of serum magnesium levels with renal prognosis in patients with chronic kidney disease

BACKGROUND

Magnesium deficiency is associated with various health conditions, but its impact on the progression of chronic kidney disease (CKD) remains unclear. This study aimed to investigate the association between serum magnesium levels and prognosis of renal function in CKD patients.

METHODS

This is an analysis of the Japan Chronic Kidney Disease Database Ex　(J-CKD-DB-Ex), which is a multicenter prospective cohort including CKD patients enrolled from January 1, 2014 to December 31, 2020. We included adult outpatients with CKD stage G3 and G4 at the time of initial magnesium measurement. Patients were classified by magnesium levels as low (<1.7 mg/dl), normal (1.7-2.6 mg/dl), or high (>2.6 mg/dl). The primary outcomes were the composite of an eGFR < 15 ml/min/1.73 m2 or a ≥30% reduction in eGFR from the initial measurement, which was defined as CKD progression. We applied the Kaplan-Meier analysis and Cox regression hazard model to examine the association between magnesium levels and CKD progression.

RESULTS

The analysis included 9868 outpatients during the follow-up period. The low magnesium group was significantly more likely to reach CKD progression. Cox regression, adjusting for covariates and using the normal magnesium group as the reference, showed that the hazard ratio for the low magnesium group was 1.20 (1.08-1.34). High magnesium was not significantly associated with poor renal outcomes compared with normal magnesium.

CONCLUSION

Based on large real-world data, this study demonstrated that low magnesium levels are associated with poorer renal outcomes.

Kidney outcomes of SGLT2 inhibitors among older patients with diabetic kidney disease in real-world clinical practice: the Japan Chronic Kidney Disease Database Ex

INTRODUCTION

We compared the kidney outcomes between patients with diabetic kidney disease (DKD) aged ≥75 years initiating sodium-glucose cotransporter 2 (SGLT2) inhibitors versus other glucose-lowering drugs, additionally presenting with or without proteinuria.

RESEARCH DESIGN AND METHODS

Using the Japan Chronic Kidney Disease Database, we developed propensity scores, implementing a 1:1 matching protocol. The primary outcome included the decline rate in estimated glomerular filtration rate (eGFR), and secondary outcomes incorporated a composite of a 40% reduction in eGFR or progression to end-stage kidney disease.

RESULTS

At baseline, the mean age at initiation of SGLT2 inhibitors (n=348) or other glucose-lowering medications (n=348) was 77.7 years. The mean eGFR was 59.3 mL/min/1.73m2 and proteinuria was 230 (33.0%) patients. Throughout the follow-up period, the mean annual rate of eGFR change was -0.80 mL/min/1.73 m2/year (95% CI -1.05 to -0.54) among SGLT2 inhibitors group and -1.78 mL/min/1.73 m2/year (95% CI -2.08 to -1.49) in other glucose-lowering drugs group (difference in the rate of eGFR decline between the groups was 0.99 mL/min/1.73 m2/year (95% CI 0.5 to 1.38)), favoring SGLT2 inhibitors (p<0.001). Composite renal outcomes were observed 38 in the SGLT2 inhibitors group and 57 in the other glucose-lowering medications group (HR 0.64, 95% CI 0.42 to 0.97). There was no evidence of an interaction between SGLT2 inhibitors initiation and proteinuria.

CONCLUSIONS

The benefits of SGLT2 inhibitors on renal outcomes are also applicable to older patients with DKD aged≥75 years.

Evaluating the associations between compliance with CKD guideline component metrics and renal outcomes

Understanding the association between compliance to the Chronic Kidney Disease (CKD) guidelines in real-world clinical settings and renal outcomes remains a critical gap in knowledge. A comprehensive analysis was conducted using data from a national, multicenter CKD registry. This study included 4,455 patients with an estimated glomerular filtration rate (eGFR) measurement on the index date and eight additional metrics recorded within six months. These metrics comprised serum electrolyte levels, low-density lipoprotein cholesterol, hemoglobin, and the use of renin-angiotensin system inhibitors. The primary outcome was a composite of renal events, defined by a decline in eGFR to < 15 mL/min/1.73 m2 or a reduction of ≥ 30% in eGFR, confirmed by follow-up tests. Over a median follow-up of 513 days, 838 renal events were observed. High serum potassium levels (> 5.4 mmol/L) were associated with increased event rates compared to lower levels. Similarly, low serum sodium-chloride levels (< 33) correlated with higher event rates. Usage of renin-angiotensin system inhibitors, low serum calcium (< 8.4 mg/dL), and high uric acid levels (> 7.0 mg/dL) were also linked to increased events. Conversely, higher hemoglobin levels (≥ 13 g/dL) were associated with lower event rates. Compliance to guidelines, categorized into quartiles based on the number of met metrics, revealed a significantly reduced risk of events in the highest compliance group (meeting 8 metrics) compared to the lowest (0-5 metrics). Compliance to CKD guidelines in clinical practice is significantly associated with improved renal outcomes, emphasizing the need for guideline-concordant care in the management of CKD.

An economic evaluation of the expansion of electronic case reporting in an academic healthcare setting

Objectives

Determine the economic cost or benefit of expanding electronic case reporting (eCR) for 29 reportable conditions beyond the initial eCR implementation for COVID-19 at an academic health center.

Materials and methods

The return on investment (ROI) framework was used to quantify the economic impact of the expansion of eCR from the perspective of an academic health system over a 5-year time horizon. Sensitivity analyses were performed to assess key factors such as personnel cost, inflation, and number of expanded conditions.

Results

The total implementation costs for the implementation year were estimated to be $5031.46. The 5-year ROI for the expansion of eCR for the 29 conditions is expected to be 142% (net present value of savings: $7166). Based on the annual ROI, estimates suggest that the savings from the expansion of eCR will cover implementation costs in approximately 4.8 years. All sensitivity analyses yielded a strong ROI for the expansion of eCR.

Discussion and conclusion

Our findings suggest a strong ROI for the expansion of eCR at UHealth, with the most significant cost savings observed implementing eCR for all reportable conditions. An early effort to ensure data quality is recommended to expedite the transition from parallel reporting to production to improve the ROI for healthcare organizations. This study demonstrates a positive ROI for the expansion of eCR to additional reportable conditions beyond COVID-19 in an academic health setting, such as UHealth. While this evaluation focuses on the 5-year time horizon, the potential benefit could extend further.

Kidney outcomes associated with haematuria and proteinuria trajectories among patients with IgA nephropathy in real-world clinical practice: The Japan Chronic Kidney Disease Database

AIM

Among patients with Immunoglobulin A (IgA) nephropathy, we aimed to identify trajectory patterns stratified by the magnitude of haematuria and proteinuria using repeated urine dipstick tests, and assess whether the trajectories were associated with kidney events.

METHODS

Using a nationwide multicentre chronic kidney disease (CKD) registry, we analysed data from 889 patients with IgA nephropathy (mean age 49.3 years). The primary outcome was a sustained reduction in eGFR of 50% or more from the index date and thereafter. During follow-up (median 49.0 months), we identified four trajectories (low-stable, moderate-decreasing, moderate-stable, and high-stable) in both urine dipstick haematuria and proteinuria measurements, respectively.

RESULTS

In haematuria trajectory analyses, compared to the low-stable group, the adjusted hazard ratios (HRs) (95% confidence interval [CI]) for kidney events were 2.59 (95% CI, 1.48-4.51) for the high-stable, 2.31 (95% CI, 1.19-4.50) for the moderate-stable, and 1.43 (95% CI, (0.72-2.82) for the moderate-decreasing groups, respectively. When each proteinuria trajectory group was subcategorized according to haematuria trajectories, the proteinuria group with high-stable and with modest-stable haematuria trajectories had approximately 2-times higher risk for eGFR reduction ≥50% compared to that with low-stable haematuria trajectory.

CONCLUSION

Assessments of both haematuria and proteinuria trajectories using urine dipstick could identify high-risk IgA nephropathy patients.

Electronic Case Reporting (eCR) of COVID-19 to Public Health: Implementation Perspectives from the Minnesota Department of Health

Electronic case reporting (eCR) is the automated generation and transmission of case reports from electronic health records to public health for review and action. These reports (electronic initial case reports: eICRs) adhere to recommended exchange and terminology standards. eCR is a partnership of the Centers for Disease Control and Prevention (CDC), Association of Public Health Laboratories (APHL) and Council of State and Territorial Epidemiologists (CSTE). The Minnesota Department of Health (MDH) received eICRs for COVID-19 from April 2020 (3 sites, manual process), automated eCR implementation in August 2020 (7 sites) and on-boarded ∼1780 clinical units in 460 sites across 6 integrated healthcare systems (through March 2022). Approximately 20,000 eICRs/month were reported to MDH during high-volume timeframes. With increasing provider/health system implementation, the proportion of COVID-19 cases with an eICR increased to 30% (March 2022). Evaluation of data quality for select demographic variables (gender, race, ethnicity, email, phone, language) across the six reporting health systems revealed a high proportion of completeness (>80%) for half of variables and less complete data for rest (ethnicity, email, language) along with low ethnicity data (<50%) for one health system. Presently eCR implementation at MDH includes only one EHR vendor. Next steps will focus on onboarding other EHRs, additional eICR data extraction/utilization, detailed analysis, outreach to address data quality issues and expanding to other reportable conditions.

Development of a standards-based city-wide health information exchange for public health in response to COVID-19

Background

Disease surveillance is a critical function of public health, provides essential information about the disease burden and the clinical and epidemiologic parameters of disease, and is an important element of effective and timely case and contact tracing. The COVID-19 pandemic demonstrates the essential role of disease surveillance in preserving public health. In theory, the standard data formats and exchange methods provided by electronic health record (EHR) meaningful use should enable rapid health care data exchange in the setting of disruptive health care events, such as a pandemic. In reality, access to data remains challenging and, even if available, often lacks conformity to regulated standards.

Objective

We sought to use regulated interoperability standards already in production to generate awareness of regional bed capacity and enhance the capture of epidemiological risk factors and clinical variables among patients tested for SARS-CoV-2. We described the technical and operational components, governance model, and timelines required to implement the public health order that mandated electronic reporting of data from EHRs among hospitals in the Chicago jurisdiction. We also evaluated the data sources, infrastructure requirements, and the completeness of data supplied to the platform and the capacity to link these sources.

Methods

Following a public health order mandating data submission by all acute care hospitals in Chicago, we developed the technical infrastructure to combine multiple data feeds from those EHR systems—a regional data hub to enhance public health surveillance. A cloud-based environment was created that received ELR, consolidated clinical data architecture, and bed capacity data feeds from sites. Data governance was planned from the project initiation to aid in consensus and principles for data use. We measured the completeness of each feed and the match rate between feeds.

Results

Data from 88,906 persons from CCDA records among 14 facilities and 408,741 persons from ELR records among 88 facilities were submitted. Most (n=448,380, 90.1%) records could be matched between CCDA and ELR feeds. Data fields absent from ELR feeds included travel histories, clinical symptoms, and comorbidities. Less than 5% of CCDA data fields were empty. Merging CCDA with ELR data improved race, ethnicity, comorbidity, and hospitalization information data availability.

Conclusions

We described the development of a citywide public health data hub for the surveillance of SARS-CoV-2 infection. We were able to assess the completeness of existing ELR feeds, augment those feeds with CCDA documents, establish secure transfer methods for data exchange, develop a cloud-based architecture to enable secure data storage and analytics, and produce dashboards for monitoring of capacity and the disease burden. We consider this public health and clinical data registry as an informative example of the power of common standards across EHRs and a potential template for future use of standards to improve public health surveillance.

Kidney Outcomes Associated With SGLT2 Inhibitors Versus Other Glucose-Lowering Drugs in Real-world Clinical Practice: The Japan Chronic Kidney Disease Database

OBJECTIVE

Randomized controlled trials have shown kidney-protective effects of sodium-glucose cotransporter 2 (SGLT2) inhibitors, and clinical practice databases have suggested that these effects translate to clinical practice. However, long-term efficacy, as well as whether the presence or absence of proteinuria and the rate of estimated glomerular filtration rates (eGFR) decline prior to SGLT2 inhibitor initiation modify treatment efficacy among type 2 diabetes mellitus (T2DM) and chronic kidney disease (CKD) patients, is unknown.

RESEARCH DESIGN AND METHODS

Using the Japan Chronic Kidney Disease Database (J-CKD-DB), a nationwide multicenter CKD registry, we developed propensity scores for SGLT2 inhibitor initiation, with 1:1 matching with patients who were initiated on other glucose-lowering drugs. The primary outcome included rate of eGFR decline, and the secondary outcomes included a composite outcome of 50% eGFR decline or end-stage kidney disease.

RESULTS

At baseline, mean age at initiation of the SGLT2 inhibitor (n = 1,033) or other glucose-lowering drug (n = 1,033) was 64.4 years, mean eGFR was 68.1 mL/min per 1.73 m², and proteinuria was apparent in 578 (28.0%) of included patients. During follow-up, SGLT2 inhibitor initiation was associated with reduced eGFR decline (difference in slope for SGLT2 inhibitors vs. other drugs 0.75 mL/min/1.73 m² per year [0.51 to 1.00]). During a mean follow-up of 24 months, 103 composite kidney outcomes occurred: 30 (14 events per 1,000 patient-years) among the SGLT2 inhibitors group and 73 (36 events per 1,000 patient-years) among the other drugs group (hazard ratio 0.40, 95% CI 0.26-0.61). The benefit provided by SGLT2 inhibitors was consistent irrespective of proteinuria and rate of eGFR decline before initiation of SGLT2 inhibitors (P _{heterogeneity} ≥ 0.35).

CONCLUSIONS

The benefits of SGLT2 inhibitors on kidney function as observed in clinical trials translate to patients treated in clinical practice with no evidence that the effects are modified by the underlying rate of kidney function decline or the presence of proteinuria.

J-CKD-DB: a nationwide multicentre electronic health record-based chronic kidney disease database in Japan

The Japan Chronic Kidney Disease (CKD) Database (J-CKD-DB) is a large-scale, nation-wide registry based on electronic health record (EHR) data from participating university hospitals. Using a standardized exchangeable information storage, the J-CKD-DB succeeded to efficiently collect clinical data of CKD patients across hospitals despite their different EHR systems. CKD was defined as dipstick proteinuria ≥1+ and/or estimated glomerular filtration rate <60 mL/min/1.73 m² base on both out- and inpatient laboratory data. As an initial analysis, we analyzed 39,121 CKD outpatients (median age was 71 years, 54.7% were men, median eGFR was 51.3 mL/min/1.73 m²) and observed that the number of patients with a CKD stage G1, G2, G3a, G3b, G4 and G5 were 1,001 (2.6%), 2,612 (6.7%), 23,333 (59.6%), 8,357 (21.4%), 2,710 (6.9%) and 1,108 (2.8%), respectively. According to the KDIGO risk classification, there were 30.1% and 25.5% of male and female patients with CKD at very high-risk, respectively. As the information from every clinical encounter from those participating hospitals will be continuously updated with an anonymized patient ID, the J-CKD-DB will be a dynamic registry of Japanese CKD patients by expanding and linking with other existing databases and a platform for a number of cross-sectional and prospective analyses to answer important clinical questions in CKD care.

Evaluation of Data Exchange Process for Interoperability and Impact on Electronic Laboratory Reporting Quality to a State Public Health Agency

Background

Past and present national initiatives advocate for electronic exchange of health data and emphasize interoperability. The critical role of public health in the context of disease surveillance was recognized with recommendations for electronic laboratory reporting (ELR). Many public health agencies have seen a trend towards centralization of information technology services which adds another layer of complexity to interoperability efforts.

Objectives

The study objective was to understand the process of data exchange and its impact on the quality of data being transmitted in the context of electronic laboratory reporting to public health. This was conducted in context of Minnesota Electronic Disease Surveillance System (MEDSS), the public health information system for supporting infectious disease surveillance in Minnesota. Data Quality (DQ) dimensions by Strong et al., was chosen as the guiding framework for evaluation.

Methods

The process of assessing data exchange for electronic lab reporting and its impact was a mixed methods approach with qualitative data obtained through expert discussions and quantitative data obtained from queries of the MEDSS system. Interviews were conducted in an open-ended format from November 2017 through February 2018. Based on these discussions, two high level categories of data exchange process which could impact data quality were identified: onboarding for electronic lab reporting and internal data exchange routing. This in turn comprised of ten critical steps and its impact on quality of data was identified through expert input. This was followed by analysis of data in MEDSS by various criteria identified by the informatics team.

Results

All DQ metrics (Intrinsic DQ, Contextual DQ, Representational DQ, and Accessibility DQ) were impacted in the data exchange process with varying influence on DQ dimensions. Some errors such as improper mapping in electronic health records (EHRs) and laboratory information systems had a cascading effect and can pass through technical filters and go undetected till use of data by epidemiologists. Some DQ dimensions such as accuracy, relevancy, value-added data and interpretability are more dependent on users at either end of the data exchange spectrum, the relevant clinical groups and the public health program professionals. The study revealed that data quality is dynamic and on-going oversight is a combined effort by MEDSS Informatics team and review by technical and public health program professionals.

Conclusion

With increasing electronic reporting to public health, there is a need to understand the current processes for electronic exchange and their impact on quality of data. This study focused on electronic laboratory reporting to public health and analyzed both onboarding and internal data exchange processes. Insights gathered from this research can be applied to other public health reporting currently (e.g. immunizations) and will be valuable in planning for electronic case reporting in near future.

A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts

Clinical case reports (CCRs) are a valuable means of sharing observations and insights in medicine. The form of these documents varies, and their content includes descriptions of numerous, novel disease presentations and treatments. Thus far, the text data within CCRs is largely unstructured, requiring significant human and computational effort to render these data useful for in-depth analysis. In this protocol, we describe methods for identifying metadata corresponding to specific biomedical concepts frequently observed within CCRs. We provide a metadata template as a guide for document annotation, recognizing that imposing structure on CCRs may be pursued by combinations of manual and automated effort. The approach presented here is appropriate for organization of concept-related text from a large literature corpus (e.g., thousands of CCRs) but may be easily adapted to facilitate more focused tasks or small sets of reports. The resulting structured text data includes sufficient semantic context to support a variety of subsequent text analysis workflows: meta-analyses to determine how to maximize CCR detail, epidemiological studies of rare diseases, and the development of models of medical language may all be made more realizable and manageable through the use of structured text data.

Health Care Provider Knowledge and Attitudes Regarding Reporting Diseases and Events to Public Health Authorities in Tennessee

CONTEXT

In the United States, state laws require health care providers to report specific diseases and events to public health authorities, a fundamental facet of disease surveillance. However, reporting by providers is often inconsistent, infrequent, and delayed.

OBJECTIVE

To examine knowledge, attitudes, and practices regarding provider disease reporting and to understand current barriers to provider disease reporting.

DESIGN

A cross-sectional study was conducted via an anonymous, standardized electronic survey.

SETTING

The survey was conducted at Vanderbilt University Medical Center, a large, tertiary academic medical center in Nashville, Tennessee.

PARTICIPANTS

Health care providers in 4 specialties (internal medicine, pediatrics, obstetrics-gynecology, and emergency medicine).

MAIN OUTCOME MEASURE(S)

Knowledge of and attitudes regarding provider reporting of diseases to public health authorities in Tennessee.

RESULTS

The majority of providers acknowledged they cared for patients with reportable diseases (362/435, 83.2%) and believed that it was their responsibility to report to public health authorities (429/436, 98.4%); however, less than half had ever reported a case (206/436, 47.2%). The median percent correct on the knowledge assessment of Tennessee reportable diseases and conditions was 81.3% (interquartile range = 68.8-87.5). Providers cited a lack of knowledge of which diseases are reportable (186/429, 43.3%) and the logistics of reporting (153/429, 35.7%) as the primary barriers for compliance.

CONCLUSION

Most providers acknowledged they cared for patients with reportable diseases and believed they had an obligation to report to public health authorities. However, a lack of knowledge about reporting was frequently described as a limitation to report effectively. Many knowledge deficits were significantly greater among residents than other providers.The policy and practice implications of these findings include a demonstrated need for education of providers about disease reporting as well as development of more convenient reporting mechanisms. Fundamental knowledge of reportable disease requirements and procedures is critical for participation in the broader public health system.

Identification of the necessary data elements to report AIDS: a systematic review

Background

The main focus of the surveillance system of AIDS in Iran is on direct clinical care for HIV, and other supportive facilities and secondary programmes have been somewhat neglected. Creating templates for reporting AIDS in Iran that can fulfil the needs of all information stakeholders, is a necessity for the Public Health Information Exchange (PHIE) system.

Objective

The aim of this study was to develop a comprehensive reporting template of the PHIE system for HIV/AIDS in Iran.

Methods

This study was performed in 2017. Through a systematic review of the Web of Science, Science Direct, Scopus, PubMed databases and Google Scholar search engine from 2000 to 2016, the necessary data elements are identified by the main keywords of the “Minimum Data Set” and HIV / AIDS collection.

Results

As many as 28 studies were enrolled in the research. The MDS was designed for the following categories: 1) administrative, managerial, and policy-makers (with 10 data classes and 90 data elements), 2) Clinical and medical (six data classes and 83 data elements), and 3) support services, counselling and subsidiary (three data classes and 32 data elements).

Conclusion

Iran stands in a fortunate position in terms of clinical and care programmes for AIDS treatment. A fundamental challenge is the insufficient attention to support and consulting programmes as well as the lack of information for accurate and efficient policy and decision-making. A reporting format has been designed to meet the needs of all information requirements of beneficiaries related to HIV/AIDS care and management.

Transitioning From Paper to Digital: State Statutory and Regulatory Frameworks for Health Information Technology

OBJECTIVES

In all health system sectors, electronic health information (EHI) is created, used, released, and reused. We examined states' efforts to address EHI uses in law to provide an understanding of the EHI legal environment.

METHODS

Attorney researchers used WestlawNext to search for EHI-related statutes and regulations of the US states, US territories, and the District of Columbia in effect as of January 2014. The researchers independently catalogued provisions by the EHI use described in the law. Researchers resolved discrepancies through peer review meetings and recorded the consensus codes for each law.

RESULTS

This study identified 2364 EHI-related laws representing 49 EHI uses in 54 jurisdictions. A total of 18 EHI uses were regulated by ≥10 jurisdictions. More than 750 laws addressed 2 or more EHI uses. Jurisdictions varied by the number of EHI laws in effect, with a mean of 44 laws. Texas had the most EHI laws (n = 145). Hawaii and South Carolina had the fewest (n = 14 each).

CONCLUSIONS

The EHI legal landscape is complex. The large quantity and diversity of laws complicate legal analysis, likely delay implementation of public health solutions, and might be detrimental to the development of emerging health information technology. Research is needed to understand the effect of EHI-related laws.

Survey of Communicable Diseases Surveillance System in Hospitals of Iran: A Qualitative Approach

Background:

Communicable Disease Surveillance and reporting is one of the key elements to combat against diseases and their control. Fast and timely recognition of communicable diseases can be helpful in controlling of epidemics. One of the main sources of management of communicable diseases reporting is hospitals that collect communicable diseases’ reports and send them to health authorities. One of the focal problems and challenges in this regard is incomplete and imprecise reports from hospitals. In this study, while examining the implementation processes of the communicable diseases surveillance in hospitals, non-medical people who were related to the program have been studied by a qualitative approach.

Methods:

This study was conducted using qualitative content analysis method. Participants in the study included 36 informants, managers, experts associated with health and surveillance of communicable diseases that were selected using targeted sampling and with diverse backgrounds and work experience (different experiences in primary health surveillance and treatment, Ministry levels, university staff and operations (hospitals and health centers) and sampling was continued until arrive to data saturation.

Results:

Interviews were analyzed after the elimination of duplicate codes and integration of them. Finally, 73 codes were acquired and categorized in 6 major themes and 21 levels. The main themes included: policy making and planning, development of resources, organizing, collaboration and participation, surveillance process, and monitoring and evaluation of the surveillance system. In point of interviewees, attention to these themes is necessary to develop effective and efficient surveillance system for communicable diseases.

Conclusion:

Surveillance system in hospitals is important in developing proper macro - policies in health sector, adoption of health related decisions and preventive plans appropriate to the existing situation. Compilation, changing, improving, monitoring and continuous updating of surveillance systems can play a significant role in its efficiency and effectiveness. In the meantime, policy makers’ and senior managers’ support in development and implementation of communicable disease surveillance’ plans and their reporting plays a key and core role.

Completing Death Certificates from an EMR: Analysis of a Novel Public-Private Partnership

With the objective of increasing electronic death registration, Intermountain Healthcare and the Utah Office of Vital Records and Statistics have developed a system enabling death certification from within Intermountain's electronic medical record (EMR), consisting of an EMR module and an HL7 interface. Comparison of post-intervention death certification at Intermountain Healthcare against a baseline study found a slight increase in the percentage of deaths certified electronically (73% pre vs. 77% post). Analysis of deaths certified using the EMR-module found that they were completed significantly sooner than those certified on paper or using the state's web-based electronic death registration system (EDRS) (Mean time: Paper = 114.72 hours, EDRS = 81.84 hours, EMR = 43.92 hours; p < 0.0001). EMR-certified deaths also contained significantly more causes of deaths than either alternative method (Mean number of causes: Paper = 3.9 causes, EDRS = 4.0 causes, EMR = 5.5 causes; p < 0.0001).

Communicable Disease Reporting Systems in the World: A Systematic Review Article

BACKGROUND

Communicable disease reporting and surveillance system has poor infrastructure and supporters in most of countries. Its quality improvement is a challenge and requires an accurate and efficient care and reporting systems at all levels to achieve new and simple models. This study evaluates reporting systems of communicable diseases using systematic review.

METHODS

This was a systematic review study. For data collection, we used the following database and search engines: Proquest, Science direct, Pub MED, Scopes, Springer, and EBESCO. For Persian databases, we used SID, Iranmedex and Magiran. Our key words were "Communicable Diseases", "Notifiable Disease", "Disease Notification", "Reporting System"," Surveillance Systems" and "evaluation". Two independent researchers reviewed the resources and the results were classified in different domains.

RESULTS

From 1889 cases, only 66 resources were studied. The results were classified in several domains, including those who were reporting, reporting methods and procedures, responsibilities and reporting system characteristics, problems and solutions of the report, the reporting process, and receptor level.

CONCLUSION

Disease-reporting system has similar problems in all parts of the world. Change, improve, update and continuous monitoring of the reporting system are very important. Although the reporting process can vary in different regions, but being perfect and timely are important principles in system design. Detailed explanations of tasks and providing appropriate instructions are the most important points to integrate an efficient reporting system.

A new model for collaboration: building CDA documents in MDHT

Clinical Document Architecture implementation guides (IGs) specify a standard format for electronic submission and are typically developed by a few standards specialists working in national committees that do not have the resources to address the range of use cases needed for community-wide document-based health information exchange. To accommodate the variation inherent in these use cases we must be able to customize a base IG according to state and local rules, and to document ownership of these constrained guides. Model Driven Health Tools (MDHT) is an open source framework that enables community authoring. The Public Health Data Standards Consortium assembled a cross-disciplinary team to develop Public Health Case Report IGs for 15 reportable conditions using MDHT, with the goal of supporting state and local customization. This paper describes our experience learning MDHT and evaluates how well MDHT meets our objectives.

The Hub Population Health System: distributed ad hoc queries and alerts

The Hub Population Health System enables the creation and distribution of queries for aggregate count information, clinical decision support alerts at the point-of-care for patients who meet specified conditions, and secure messages sent directly to provider electronic health record (EHR) inboxes. Using a metronidazole medication recall, the New York City Department of Health was able to determine the number of affected patients and message providers, and distribute an alert to participating practices. As of September 2011, the system is live in 400 practices and within a year will have over 532 practices with 2500 providers, representing over 2.5 million New Yorkers. The Hub can help public health experts to evaluate population health and quality improvement activities throughout the ambulatory care network. Multiple EHR vendors are building these features in partnership with the department's regional extension center in anticipation of new meaningful use requirements.

Toxin assay is more reliable than ICD-9 data and less time-consuming than chart review for public reporting of Clostridium difficile hospital case rates

OBJECTIVE

Clostridium difficile-associated disease (CDAD) is common and has a 6.1% mortality. Governmental agencies have recommended surveillance, but reporting increases health care costs. We sought to identify a reliable method of reporting CDAD that will not significantly increase health care costs.

METHODS

Patients were identified via database query for International Statistical Classification of Diseases and Related Health Problems, 9th Edition (ICD-9) codes and C. difficile toxin positivity. All identified patients underwent a chart review, which was used to determine the accuracy of the database query methods. Methods of determining whether CDAD was acquired at the reporting institution were studied, and time required to perform each method was measured.

RESULTS

The toxin assay reported 96.1% (369/384) of cases and had a positive predictive value of 100%. No difference was found in comparison of the toxin assay case rate of 15.7 per 1000 discharged patients to the rate of 16.3 identified by chart review (P = 0.440; 95% confidence interval [CI], 14.1-17.4), whereas the ICD-9 method was found to be significantly different by reporting 116.1% (446/384) of cases for a case rate of 19.0 per 1000 discharges (P = 0.001; 95% CI, 17.3-20.8). The time for data extraction via the toxin assay method required only 842 minutes, while the chart review method consumed 21,899 minutes.

CONCLUSION

A positive C. difficile toxin assay accurately reports the institutional incidence of disease and is more reliable than ICD-9 query. This process can be instituted at a fraction of the cost of the standard chart review, and enables governmental agencies to inexpensively add CDAD to their list of reportable diseases.

Applying the XForms Standard to Public Health Case Reporting and Alerting

Notifiable condition reporting and alerting are two important public health functions. Today, a variety of methods are used to transfer these types of information. The increasing use of electronic health record systems by healthcare providers makes new types of electronic communication possible. We used the XForms standard and nationally recognized technical profiles to demonstrate the communication of both notifiable condition reports and patient-tailored public health alerts. This demonstration of bi-directional communication took placein a prototypical health information exchange environment. We successfully transferred information between provider electronic health record systems and public health systems for notifiable condition reporting. Patient-specific alerts were successfully sent from public health to provider systems. In this paper we discuss the benefits of XForms, including the use of XML, advanced form controls, form initialization and reduction in scripting. We also review implementation challenges, the maturity of the technology and its suitability for use in public health.

Evaluation of HL7 v2.5.1 electronic case reports transmitted from a healthcare enterprise to public health

Public health surveillance is necessary to prevent and control communicable and non-communicable diseases. An electronic reporting system using HL7 v2.5.1 was implemented between Intermountain Healthcare and the Utah Department of Health. We conducted prospective and retrospective studies to evaluate the timeliness, completeness of content information, and completeness of the electronic reporting process, and compared these metrics against other reporting entities. The electronic reporting system was more timely than other clinical reporting facilities and included more complete information in initial case reports. During a four month period, the electronic reporting system captured 8% of the cases not reported by the paper-based reporting system but missed 5% of the cases reported by the paper-based reporting system. We believe it would be more efficient for Infection Preventionists at hospitals to use their resources to detect cases not captured by the electronic reporting system instead of manually re-reporting cases already transmitted to public health electronically.

Improving oncology outcomes through targeted therapeutics will require electronic delivery systems

Typically, chemotherapy selection takes into account patient demographic data, including disease symptoms, family history, environmental factors and concurrent medications. Although validated and approved genomics tests are available for targeted therapeutics, a major challenge facing healthcare is the ability to process the genomic data in the patient’s context and to return clinically interpretable dosing guidance to the physician in a realistic time frame. Delivery of these targeted therapeutics, made possible by clinical decision support systems connected to an electronic health record may help drive both the acceptance and adaptation of an electronic health record system, as well as provide personalized information at point-of-care, as part of the routine workflow. The realization of targeted therapeutics will depend on the concerted efforts of stakeholder groups as they address political, ethical, socioeconomical and technical challenges to achieve personalized medicine adoption through real-world implementation.