scholarly journals Harnessing Data Science Through Healthcare IT Interoperability

Author(s):  
Sheryl L. Taylor

ObjectiveTo provide tools to generate national and local syndromic surveillance electronic messaging specifications and to test implementations in which the set of requirements have been implemented in order to confirm or refute the conformance to those requirements, thereby promoting healthcare information technology (HIT) interoperability in the public health sector.IntroductionThe ability to harness data science for use in improving population health and public health surveillance begins with the application of interoperability standards to electronic messaging for data exchange between HIT used by public health authorities (PHAs) and the providers who submit patient data to them. When electronic transmissions between these entities are not based on interoperability standards, the patient data that are exchanged may be incomplete, inaccurate, invalid, and/or untimely. As a result, local PHAs and the Centers for Disease Control and Prevention (CDC) may be unable to fulfill their goals of monitoring public health trends and improving population health.MethodsAs part of the effort to meet the need for the application of interoperability standards to electronic messaging for data exchange between HIT modules that submit and collect syndromic surveillance data for public health, the National Institute of Standards and Technology (NIST), in collaboration with the CDC and the International Society for Disease Surveillance (ISDS), developed and maintains a set of validation tools. These tools are focused on standardized syndromic surveillance messaging and are used for HIT certification testing by the Office of the National Coordinator (ONC) and for on-boarding by various public health jurisdictions in the US. In addition, ISDS informatics personnel are using the NIST Implementation Guide Authoring and Management Tool (IGAMT) for creating the first HL7-ballotted version of a guide for syndromic messaging, the HL7 2.5.1 Implementation Guide for Syndromic Surveillance Release 1. This guide is a messaging specification that defines how disparate healthcare applications are to codify and transmit administrative and clinical data for public health surveillance and response. IGAMT is part of an integrated platform that also includes the NIST Test Case Authoring and Management Tool (TCAMT), a Testing Infrastructure and Framework, and the NIST General Validation Tool (GVT). This Web-based platform enables domain experts, such as the ISDS informatics experts, to control the automatic process for generating computable standards and associated testing tools.ResultsDeveloped through collaboration between NIST, the CDC, and ISDS, the 2015 Edition Syndromic Surveillance Test Suite has been used in the ONC HIT Certification Program for validating over one hundred HIT modules against the syndromic messaging guide developed by the CDC and the Public Health Information Network, the PHIN Guide for Syndromic Surveillance Messaging Release 2.0 and the associated Erratum. During the collaborative process, NIST contributed expertise based on many years of co-authoring and using HIT interoperability specifications, and the CDC and ISDS contributed expertise pertaining to the syndromic surveillance domain. Outcomes of this process included increased awareness by all involved parties regarding the challenges of writing computable standards and the challenges associated with testing HIT under constrained circumstances, such as with the ONC HIT Certification Program. The recognition of the need for well-defined standards, as well as testing using real-world scenarios and clinical data, led to the development of IGAMT and TCAMT for automating the production of these artifacts; and with these tools came the ability to automate generation of testing resources, such as syndromic surveillance validation tools that are customized to national-level specifications as well as to state/local-level specifications for use in on-boarding procedures. As of early 2017, states with jurisdictions requiring providers to validate the ability of their HIT modules to generate syndromic messages using the NIST national-level Syndromic Surveillance Test Suite in their on-boarding process included Arkansas, Florida, Indiana, Kansas, Maryland, South Carolina, and Washington. Now that a national-level HL7-balloted syndromic surveillance implementation guide has been generated using IGAMT, representatives of several additional PHAs have expressed interest in using the components of the NIST Integrated Platform for generating local-level specifications and testing tools. State and local jurisdictions often require certain data to be submitted in addition to the data required by the national-level specification. Local-level testing tools used during the on-boarding process would enable jurisdictions to validate syndromic messages created by submitters in order to confirm or refute the conformance to the local-level requirements.ConclusionsImproving population health and public health surveillance by utilizing the power of data science requires the ubiquitous deployment of standards-based data exchange, that is, interoperability, between the numerous disparate HIT modules in use by providers and PHAs today. NIST has created a development platform that enables the domain experts at the CDC and ISDS to use automated tools to generate national- and local-level syndromic surveillance electronic messaging specifications and the associated testing tools that confirm or refute conformance to the requirements in these specifications. These tools promote interoperability as the foundation for harnessing data science for the benefit of the public and the public health entities that serve them. 

Author(s):  
Anne Fouillet ◽  
Vanina Bousquet ◽  
Isabelle Pontais ◽  
Anne Gallay ◽  
Céline Caserio- Schönemann

Implemented 10 years ago, the French syndromic surveillance system Oscour, based on emergency departments, has been assessed using four major evaluation criteria in syndromic surveillance: stability and regularity of data transmission, the coverage at the national level, data quality, particularly for medical information and the utility of the system for the public health surveillance. In 2014, about 40,000 daily attendances are extracted automatically from 600 ED departments located all over the territory, covering 80% of the national attendances. About 12,800 different ICD10 codes have been used in 2013, enabling a large public health surveillance.


2016 ◽  
Vol 8 (1) ◽  
Author(s):  
Peter Hicks ◽  
Julie A. Pavlin ◽  
Atar Baer ◽  
David J. Swenson ◽  
Rebecca Lampkins ◽  
...  

The "Preliminary Look into the Icd9/10 Transition Impact on Public Health Surveillance" roundtable will provide a forum for the syndromic surveillance Community of Practice (CoP) to discuss the public health impacts from the ICD-10-CM conversion, and to support jurisdictional public health practices with this transition. The discussion will be aimed at identifying conversion challenges, solutions, and best practices.


2019 ◽  
Vol 11 (1) ◽  
Author(s):  
Peter Hicks

Colleagues,I am delighted to present to you the summary abstracts and presentations from the 2019 International Society of Disease Surveillance (ISDS) Conference which was held San Diego, CA from January 30th – February 2nd, 2019.  Over the past several years, the concept of investing in data science and data scientists has been touted as a transformational endeavor for governmental organizations, non-profits, as well as private sector and commercial markets. How “true” data science is harnessed to influence and improve public health surveillance and population health remains to be seen. Data science has great potential to provide a new lens to inform and improve public health surveillance and population health. However, this lens needs to focus upon more than just “Big Data” analytics and information technology. It must also focus on fostering organizational environments and multi-agency collaborations that invigorate curiosity and experimentation and development of cross-disciplinarian partnerships to address multifactorial and multidimensional health and disparity challenges. It also must hone in on producing evidence-based analytic results to improve measurable health outcomes. Analysis and summary results are not the end products for surveillance. The concept of data science needs to be leveraged across public health to better communicate the findings of disease surveillance through the “storytelling of illness and disease” to influence public health policy, and ultimately improve population health.This year, with these ideas in mind, and with the support of a dynamic, engaged, and multi-disciplinary Scientific Planning Committee (SPC) - ISDS has expanded its conference scope beyond traditional tracks which historically focused on surveillance, informatics, and analysis, to include tracks related to:One HealthNon – Human Health SurveillanceEcologyCommunications, Medical Rhetoric, Visualization, and ReportingChronic Disease / Mental HealthSubstance AbuseData QualityInjury SurveillanceSubstance Abuse – Opioid SurveillanceRecognizing that Public Health is a collaborative and multi-disciplinary team sport, we have expanded our outreach efforts to include new partners across academia, the private sector, state, local, and tribal partners, as well as federal agencies.  During the 2019 ISDS Conference, we had a significant increase in overall attendance (~375) and abstracts submissions compared to prior years; with 29 countries represented and 130 oral presentations and 95 poster presentations provided over the three-day conference.   We held a number of sessions on Opioid Use and Prescribing Surveillance as well as Medical Rhetoric, Communications, and Visualization that were standing-room only and beyond.Our keynote speakers on the intersection of Data Science and Public Health included: William J. Kassler, MD, MPH, IBM Watson Health – Deputy Chief Health OfficerWilma J. Wooten, MD, MPH, Public Health Officer for the County of San DiegoMichael Hogarth, MD, FACP, FACMI, Chief Clinical Research Information Officer for University of California San Diego HealthSome of the key take-aways from the presentations at the 2019 ISDS Conference were that data science and the act of data collections and analysis are NOT the end goals of public health surveillance; they are just the beginning.  Data do NOT speak for themselves; they require context, curation, interpretation, and ultimately need to effectively communicating findings through the story telling of illness and disease to officials, policy makers, and the public with the objective to inform and influence public health policy, motivate health behavior change, drive public health action, and ultimately improve population health.I encourage you to review the abstracts submitted here in the Online Journal of Public Health Informatics which were presented at the 2019 International Society for Disease Surveillance 2019 Conference and to engage multi-dimensional and multi-disciplinary conversations (reach out directly to authors and presenters) around these important topics, expand your networks and opportunities in the public health community. Regards,Peter Hicks, MA, MPHScientific Program Chair International Society for Disease Surveillance (ISDS) 2019Centers for Disease Control and Prevention**Information included in this statement are those of the author and do not represent the official position of the Centers for Disease Control and Prevention (CDC)


2019 ◽  
Vol 36 (8) ◽  
pp. 459-464
Author(s):  
Roger Morbey ◽  
Helen Hughes ◽  
Gillian Smith ◽  
Kirsty Challen ◽  
Thomas C Hughes ◽  
...  

IntroductionFor the London Olympic and Paralympic Games in 2012, a sentinel ED syndromic surveillance system was established to enhance public health surveillance by obtaining data from a selected network of EDs, focusing on London. In 2017, a new national standard Emergency Care Dataset was introduced, which enabled Public Health England (PHE) to initiate the expansion of their sentinel system to national coverage. Prior to this initiative, we estimated the added value, and potential additional resource use, of an expansion of the sentinel surveillance system.MethodsThe detection capabilities of the sentinel and national systems were compared using the aberration detection methods currently used by PHE. Different scenarios were used to measure the impact on health at a local, subnational and national level, including improvements to sensitivity and timeliness, along with changes in specificity.ResultsThe biggest added value was found to be for detecting local impacts, with an increase in sensitivity of over 80%. There were also improvements found at a national level with outbreaks being detected earlier and smaller impacts being detectable. However, the increased number of local sites will also increase the number of false alarms likely to be generated.ConclusionWe have quantified the added value of national ED syndromic surveillance systems, showing how they will enable detection of more localised events. Furthermore, national systems add value in enabling timelier public health interventions. Finally, we have highlighted areas where extra resource may be required to manage improvements in detection coverage.


2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
M Coman ◽  
O Oltean ◽  
M Palianopoulou ◽  
D Plancikova ◽  
C Zedini ◽  
...  

Abstract Over the past years, Tunisia has experienced important reforms in the field of public health. The Tunisian medical faculties (Universities of Sfax, Tunis el Manar, Sousse and Monastir) play a key role in this endeavor by training public health professionals who can contribute to the modernization of the health system. Funded by the EC through Erasmus+ programme, the CONFIDE project (coordinated by Babes-Bolyai University, having as EU partners the Universities of Southern Denmark and Trnava, and the above mentioned Tunisian universities) has established the Research into Policy training programme by strengthening their capacity to provide public health training. The Research into Policy training programme has been delivered by the Centres for Evidence into Health Policy (C4EHPs) established within the Tunisian partner universities for the needs of CONFIDE. The training programme was implemented in four steps: (1) train the trainer sessions - the European experts trained 18 Tunisian trainers; (2) shadowing sessions - the trainers participated in shadowing sessions in the European partner institutions; (3) training delivery - the CONFIDE trainers, assisted by the European experts, delivered the training to an interdisciplinary group of 25 students and professionals; (4) internships - the students participated in internships in local health institutions. Three modules have been built within the Research into Policy training programme: Public health research, Health promotion policies and Evidence based public health policy. They contributed to increasing the public health knowledge and skills of the professionals trained. The training programme was well received by the Tunisian universities and the material developed so far during the project was adapted to the Tunisian context in the third step of implementation. On the long term, the project is expected to have an impact at the national level and produce updates at curricula level in the Tunisian medical faculties. Key messages Research into Policy training programme developed by the EC partners and culturally adapted by the Tunisian partners to the Tunisian public health context. Research into Policy training is a well-received tool for the high quality learning process in the public health field in Tunisian medical faculties.


Author(s):  
Androutsou Lorena ◽  
Androutsou Foulvia

The political context in Europe is changing including health. Among the priorities in seeking to influence the future of healthcare is a renewed attachment to health for all, health in all policies and a better coordination between social and health policy. Health issues are by definition international, and Europe has a duty to extend solidarity to the wider world population, in strategy and in delivery. Ensuring equitable access to high-quality healthcare constitutes a key challenge for health systems throughout Europe. The chapter will emphasise the importance of European public health policies. The chapter will offer a real opportunity to address public health areas and values such as right to access to healthcare into the detailed mechanisms of European policy. The chapter will form a tool for health leaders, to enrich their knowledge in the public health spectrum from a European perspective, to support, promote and improve healthcare access at a national level.


1999 ◽  
Vol 19 (2) ◽  
pp. 76-83 ◽  
Author(s):  
ET Bloom ◽  
AD Moulton ◽  
J McCoy ◽  
LE Chapman ◽  
AP Patterson

Clinical use of xenotransplants is a potential way to provide care for a population of seriously ill patients and alleviate the demand for human organs. However, xenotransplantation also presents a spectrum of concerns, not only for individual patients but also for the public health, that must be discussed and dealt with in a science-based and public manner. Such discussions should take place on a national level and should include scientists, physicians, and policy makers from all countries in which the clinical use of xenografts is being considered.


2011 ◽  
Vol 21 (6) ◽  
pp. 1031-1043 ◽  
Author(s):  
C. M. Bann ◽  
R. Kobau ◽  
M. A. Lewis ◽  
M. M. Zack ◽  
C. Luncheon ◽  
...  

Author(s):  
Moise C. Ngwa ◽  
Song Liang ◽  
Leonard Mbam ◽  
Mouhaman Arabi ◽  
Andrew Teboh ◽  
...  

Public health surveillance is essential for early detection and rapid response to cholera outbreaks. In 2003, Cameroon adopted the integrated disease surveillance and response (IDSR) strategy. We describe cholera surveillance within IDSR-strategy in Cameroon. Data is captured at health facility, forwarded to health district that compiles and directs data to RDPH in paper format. RDPH sends the data to the national level via internet and from there to the WHO. The surveillance system is passive with no data analysis at districts. Thus the goal of IDSR-strategy of data analysis and rapid response at the district has not been met yet.


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