HL7 Research Papers - Academia.edu (original) (raw)

The Ministry of Health and Social Services in Namibia under the division of epidemiology uses a manual paper-based approach to capture disease surveillance data through 5 levels of reporting which include the community level, the health... more

The Ministry of Health and Social Services in Namibia under the division of epidemiology uses a manual paper-based approach to capture disease surveillance data through 5 levels of reporting which include the community level, the health facility level, the district level, and the national level. As a result, this method of communicating and exchanging disease surveillance information is cost and time consuming, which delay disease surveillance information from reaching the head office on time. The current method that is being used to exchange and communicate disease surveillance data is a manual process which very time consuming due to the fact that surveillance officers have to organise and store the files and hunt down the information when it is needed and this can take time. Therefore , the study developed a prototype that aggregates disease surveillance data from the 14 regions in Namibia and can thus enable the disease service office to capture disease surveillance data through the use of mobile devices. The functionality of the prototype would allow a disease surveillance office in one regional office to access disease surveillance data of other regional office in real time. The method used to communicate disease surveillance data is through the excel spreadsheet (IDSR) which is called the integrated disease surveillance and response. Furthermore, the excel file will be sent to the relevant authority through email. However, we still do not have a web based system to report cases of diseases, instead this is a process starting from the intermediate hospital disease surveillance data which is captured then sent to the regional office and from the regional office the information is sent to the district office and then sent to the national office and from the national office the information is further sent to the WHO and other development partners as well as to the top management or to the highest authority. So it does not end at the national level but goes to management such as the Permanent Secretary, and the data is used to inform the development partners and the national surveillance office prepares official letters to the management as a form of reporting disease surveillance data. The symphonic surveillance office helps to detect a particular disease. The doctors send an investigation case form to the laboratory for testing the disease that has been identified.

HL7 Continuity of Care Document

Healthcare Information Systems are a big business. Currently there is an explosion of EHR/EMR products available on the market, and the best tools are really expensive. Many developing countries and healthcare providers cannot access such... more

Healthcare Information Systems are a big business. Currently there is an explosion of EHR/EMR products available on the market, and the best tools are really expensive. Many developing countries and healthcare providers cannot access such tools, and for those who can, there is not a clear strategy for the evolution, scaling, and cost of these electronic health products. The lack of standard-based implementations conduct to the creation of isolated information silos that cannot be exploited (i.e. shared between providers to promote a holistic view of each patient's medical history). This paper exposes the main elements behind a Standard-based Open Source EHR Platform that is future-proof and allows to evolve and scale with minimal cost. The proposed EHR Architecture is based on openEHR specifications, adding elements emerged from research and development experiences, leading to a design that can be implemented in any modern technology. Different implementations will be interoperable by design. This Platform will leverage contexts of scarce resources, reusing clinical knowledge, a common set of software components and services.

En los últimos años, los avances en ciencias biomédicas de la mano de nuevas disciplinas como la biología molecular o la ingeniería genética, unidos al crecimiento exponencial de la información médica disponible en línea y de los... more

En los últimos años, los avances en ciencias biomédicas de la mano de nuevas disciplinas como la biología molecular o la ingeniería genética, unidos al crecimiento exponencial de la información médica disponible en línea y de los registros de historia del paciente existentes en formato digital, y la colaboración internacional y el acceso libre de buena parte de la producción científica, han hecho imprescindible el desarrollo de sistemas informáticos que permitan indexar y navegar a través de las distintas bases de datos de conocimiento científico (publicaciones, artículos, protocolos), documentos clínicos del historial del paciente (casos clínicos, episodios, tratamientos, evolución) y de los resultados obtenidos en ensayos, terapias, nuevos fármacos y sus vías terapéuticas. Este objetivo exige dos premisas imprescindibles: (1) Ser capaz de acceder y hacer accesible toda la documentación que ya existe y se genera cada día por los profesionales sanitarios. Y (2) poder estructurar toda esa información de forma que sea posible acceder a ella de forma conjunta, e integrada. Integrar sistemas significa conseguir que operen de forma conjunta y coordinada. Para ello, la homogeneidad entendida como la uniformidad de los datos intercambiados es una premisa imprescindible. Desde el punto de vista operativo la interoperabilidad favorece que la inversión se rentabilice, evitando duplicidad de datos, reduciendo esfuerzos en el acceso a ellos y compartiendo la información de manera que esta pueda estar disponible para ser interrogada desde una fachada común. La inteligencia no es el producto de la suma de conocimientos, sin embargo, la acumulación de conocimientos, si estos se encuentran adecuadamente indexados, y accesibles y, si estos, pueden ser interrogados de forma comparada es una fuente primordial para inferir como estos datos se relacionan y ser capaces de extraer reglas de comportamiento o modelos de la realidad que permitan extrapolar los resultados en decisiones. Este es el fundamento del aprendizaje automático cuyas técnicas operan sólidamente apoyadas en los métodos tradicionales de minería y explotación de datos.

En los últimos años, los avances en ciencias biomédicas de la mano de nuevas disciplinas como la biología molecular o la ingeniería genética, unidos al crecimiento exponencial de la información médica disponible en línea y de los... more

En los últimos años, los avances en ciencias biomédicas de la mano de nuevas disciplinas como la biología molecular o la ingeniería genética, unidos al crecimiento exponencial de la información médica disponible en línea y de los registros de historia del paciente existentes en formato digital, y la colaboración internacional y el acceso libre de buena parte de la producción científica, han hecho imprescindible el desarrollo de sistemas informáticos que permitan indexar y navegar a través de las distintas bases de datos de conocimiento científico (publicaciones, artículos, protocolos), documentos clínicos del historial del paciente (casos clínicos, episodios, tratamientos, evolución) y de los resultados obtenidos en ensayos, terapias, nuevos fármacos y sus vías terapéuticas. Este objetivo exige dos premisas imprescindibles: (1) Ser capaz de acceder y hacer accesible toda la documentación que ya existe y se genera cada día por los profesionales sanitarios. Y (2) poder estructurar toda esa información de forma que sea posible acceder a ella de forma conjunta, e integrada. Integrar sistemas significa conseguir que operen de forma conjunta y coordinada. Para ello, la homogeneidad entendida como la uniformidad de los datos intercambiados es una premisa imprescindible. Desde el punto de vista operativo la interoperabilidad favorece que la inversión se rentabilice, evitando duplicidad de datos, reduciendo esfuerzos en el acceso a ellos y compartiendo la información de manera que esta pueda estar disponible para ser interrogada desde una fachada común. La inteligencia no es el producto de la suma de conocimientos, sin embargo, la acumulación de conocimientos, si estos se encuentran adecuadamente indexados, y accesibles y, si estos, pueden ser interrogados de forma comparada es una fuente primordial para inferir como estos datos se relacionan y ser capaces de extraer reglas de comportamiento o modelos de la realidad que permitan extrapolar los resultados en decisiones. Este es el fundamento del aprendizaje automático cuyas técnicas operan sólidamente apoyadas en los métodos tradicionales de minería y explotación de datos.

Information sharing between the RIS, HIS, and reporting systems is addressed by HL-7 standard designed specifically to facilitate text-based information systems’ communication. DICOM, on the other hand, was designed to address the sharing... more

Information sharing between the RIS, HIS, and reporting systems is addressed by HL-7 standard designed specifically to facilitate text-based information systems’ communication. DICOM, on the other hand, was designed to address the sharing of images between different vendors' equipment with little regard for sharing patient information. Hence, another application is required to broker the communication between the PACS and the information systems. Since patient and examination information changes frequently, it is critical to keep the databases involved in transactions synchronized. MRIMS is a complete solution that synchronizes medical imaging and clinical information workflow, by means of creating, viewing and distributing a report, regarding a patient and his/her medical examinations. It ensures the integration between HL7 and DICOM standards by implementing a new protocol model for communication compatibility between those two standards. Specifically designed for the imaging centre or hospital enterprise, this integrated solution will automate processes at every point of patient search, image acquisition, diagnostic reading, and results delivery.

In earlier times the communication between doctor and patient used to be complex task, giving a right treatment to patient was time consuming as doctors could not get details of patient case until and unless full diagnosis was done. EHR... more

In earlier times the communication between doctor and patient used to be complex task, giving a right treatment to patient was time consuming as doctors could not get details of patient case until and unless full diagnosis was done. EHR came as solution to resolve these problems by enabling the clinicians to store data in electronic form making it globally accessible and easily shareable among different organizations. The main objective of this
paper is to produce a set of specifications that allows free communication and exchange of data between medical software applications in order to eliminate or reduce incompatibility among different applications and to convert the standard patient data to XML/HL7 messaging using CDA for interoperability of HIS. Communication among different EHR’s is carried out by HL7 standard, who aims to provide interoperability among different systems.

—The development of eHealth technologies over the last few years has been pushing healthcare institutions to evolve their own infrastructures. Along with this evolution, critical systems now need to use communication standards such as HL7... more

—The development of eHealth technologies over the last few years has been pushing healthcare institutions to evolve their own infrastructures. Along with this evolution, critical systems now need to use communication standards such as HL7 or DICOM in order to exchange information in a more meaningful and efficient way. However, healthcare institutions often experience complications when different systems communicate directly even when using communication standards. We aim to assess the quality of the data present in HL7 messages exchanged between different critical systems in a large healthcare facility and therefore propose an integration infrastructure that allows a real time and centralized way to manage, route and monitor the integration flows between various systems.

Introduction: The improvements made to healthcare IT systems made over the past years led to the creation of a multitude of different applications essential to the institutions daily operations. Aim: We aim to create and install a system... more

Introduction: The improvements made to healthcare IT systems made over the past years led to the creation of a multitude of different applications essential to the institutions daily operations. Aim: We aim to create and install a system capable of displaying production metrics for healthcare management with little requirements, efforts and software providers involved. Methods: We propose a system capable of displaying production metrics for healthcare facilities, by extracting HL7 messages and other eHealth relevant protocols directly from the institution's network infrastructure. Our system is then able to populate a knowledge database with meaningful information derived from the gathered data. Results: Our system is currently being tested on a large healthcare facility where it extracts and analyses a daily average of 44,000 HL7 messages. The system is currently capable of inferring and displaying the daily distribution of healthcare related activities such as laboratory orders or even relevant billing information. Conclusion: HL7 messages moving over the network contain valuable information that can then be used to assess many relevant production metrics for the entire facility and from otherwise non-interoperable production systems that, in most cases, can only be seen as black boxes by other system integrators.

—The development of eHealth technologies over the last few years has been pushing healthcare institutions to evolve their own infrastructures. Along with this evolution, critical systems now need to use communication standards such as HL7... more

—The development of eHealth technologies over the last few years has been pushing healthcare institutions to evolve their own infrastructures. Along with this evolution, critical systems now need to use communication standards such as HL7 or DICOM in order to exchange information in a more meaningful and efficient way. However, healthcare institutions often experience complications when different systems communicate directly even when using communication standards. We aim to assess the quality of the data present in HL7 messages exchanged between different critical systems in a large healthcare facility and therefore propose an integration infrastructure that allows a real time and centralized way to manage, route and monitor the integration flows between various systems.

In this paper we test the hypothesis that a domain reference ontology of the electrocardiogram (ECG) can be employed in an effective manner to achieve semantic integration between ECG data standards. Several standardization initiatives,... more

In this paper we test the hypothesis that a domain reference ontology of the electrocardiogram (ECG) can be employed in an effective manner to achieve semantic integration between ECG data standards. Several standardization initiatives, namely AHA/MIT-BIH (Physionet), SCP-ECG and HL7 aECG, have led to heter- ogeneous conceptualizations of the ECG domain. We then argue that a shared anchor, the biomedical reality under scrutiny, can effectively support the semantic integration of these ECG standards into a coherent ECG representation for the sake of a unified Electronic Health Record (EHR) model. Our hypoth- esis is tested by means of an integration experiment that uses, on the one hand, an ECG Ontology and, on the other hand, elicited conceptual models of the ECG standards. As a conclusion, we attest the hypoth- esis and also provide an integration table depicting correspondence links between entities in the ECG Ontology and elements in the ECG standards.