Secure Scalable Disaster Electronic Medical Record and Tracking System

2013 ◽  
Vol 28 (5) ◽  
pp. 498-501 ◽  
Author(s):  
Gerard DeMers ◽  
Christopher Kahn ◽  
Per Johansson ◽  
Colleen Buono ◽  
Octav Chipara ◽  
...  

AbstractIntroductionElectronic medical records (EMRs) are considered superior in documentation of care for medical practice. Current disaster medical response involves paper tracking systems and radio communication for mass-casualty incidents (MCIs). These systems are prone to errors, may be compromised by local conditions, and are labor intensive. Communication infrastructure may be impacted, overwhelmed by call volume, or destroyed by the disaster, making self-contained and secure EMR response a critical capability.ReportAs the prehospital disaster EMR allows for more robust content including protected health information (PHI), security measures must be instituted to safeguard these data. The Wireless Internet Information System for medicAl Response in Disasters (WIISARD) Research Group developed a handheld, linked, wireless EMR system utilizing current technology platforms. Smart phones connected to radio frequency identification (RFID) readers may be utilized to efficiently track casualties resulting from the incident. Medical information may be transmitted on an encrypted network to fellow prehospital team members, medical dispatch, and receiving medical centers. This system has been field tested in a number of exercises with excellent results, and future iterations will incorporate robust security measures.ConclusionA secure prehospital triage EMR improves documentation quality during disaster drills.DeMersG, KahnC, JohanssonP, BuonoC, ChiparaO, GriswoldW, ChanT. Secure scalable disaster electronic medical record and tracking system. Prehosp Disaster Med. 2013;28(5):1-4.

2013 ◽  
Vol 380-384 ◽  
pp. 4084-4087
Author(s):  
Chun Hua Liu ◽  
Kai Yan Wang

Nowadays Radio Frequency Identification (RFID) technology is becoming more and more common in neonatal department. This paper proposes a patient Electronic Medical Record (EMR) System based on RFID technology in neonatal intensive care unit (NICU). The system is such a proactive step to enable fast sharing of medical information with the clinical staff and families and avoid human-based errors that it makes the management of the NICU more effective and efficient. Besides the system architecture and functions are described, the database design and several key features of the software development are introduced too.


2022 ◽  
Vol 12 (1) ◽  
pp. 0-0

The exponential growth of big data demands an efficient knowledge discovery. The electronic medical records of patients on medical data Clouds contain implicit medical information. Although the periodic health examination (PHE) reports describing a set of screening tests for healthy individuals performed periodically, common individuals require the assistance of an expert to interpret the results for a medical opinion. This research study proposes a metaphoric design of Electronic Medical Record (EMR) for PHE reports of patients. The outcomes of this study glimpses useful findings for the common people in the self-interpretation of their medical reports. Besides, among a variety of solutions, the study uses the metaphoric representation to convert the numerical data and medical terminology to familiar graphic representations from real life. The study identifies the detailed requirements to propose a conceptual architecture for metaphoric EMR reports. The future work will result in a prototype design, evaluation, and refinement of metaphors based on stakeholders' feedback.


Author(s):  
Omar Gutiérrez ◽  
Giordy Romero ◽  
Luis Pérez ◽  
Augusto Salazar ◽  
Marina Charris ◽  
...  

The current information systems for the registration and control of electronic medical records (EMR) present a series of problems in terms of the fragmentation, security, and privacy of medical information, since each health institution, laboratory, doctor, etc. has its own database and manages its own information, without the intervention of patients. This situation does not favor effective treatment and prevention of diseases for the population, due to potential information loss, misinformation, or data leaks related to a patient, which in turn may imply a direct risk for the individual and high public health costs for governments. One of the proposed solutions to this problem has been the creation of electronic medical record (EMR) systems using blockchain networks; however, most of them do not take into account the occurrence of connectivity failures, such as those found in various developing countries, which can lead to failures in the integrity of the system data. To address these problems, HealthyBlock is presented in this paper as an architecture based on blockchain networks, which proposes a unified electronic medical record system that considers different clinical providers, with resilience in data integrity during connectivity failure and with usability, security, and privacy characteristics. On the basis of the HealthyBlock architecture, a prototype was implemented for the care of patients in a network of hospitals. The results of the evaluation showed high efficiency in keeping the EMRs of patients unified, updated, and secure, regardless of the network clinical provider they consult.


2019 ◽  
Vol 14 (2) ◽  
pp. 292-302
Author(s):  
Yuji Kondo ◽  
Manabu Ichikawa ◽  
Hisayoshi Kondo ◽  
Yuichi Koido ◽  
Yasuhiro Otomo ◽  
...  

The biggest agenda in disaster medicine in Japan is considered as the collection and sharing of information. Sharing Information Platform for Disaster Management (SIP4D) is the platform that can connect the information system of each government agency in the event of a disaster. The purpose of the present study is to clarify the damage estimation in a Disaster Medical Assistance Team (DMAT) operation, information sharing within headquarters for disaster control, information for the level of damage in hospital, conditions for a DMAT dispatch request, safest route to reach the operation site, and improvements in patient medical information sharing and to assess the utility of introducing electronic health record by SIP Disaster Resilience: Theme 4. We used the information of SIP4D and Health Crisis and Risk Information Supporting Internet system (H-CRISIS) assistance to clarify the variables. We also examined the utility of using an electronic medical record system at the time of a disaster via creating a patient evacuation medical record cloud system in a 2016 Large-scale disaster drill. We requested Staging Care Unit (SCU) members to enter patient information by using a tablet. In SCUs that were outside the afflicted area, we browsed the electronic medical record on the cloud system and compared the time to send patient information using an electronic medical record in SCU to the time to send the same without using an electronic medical record and examined the superiority of the operation. In the statistical analysis, we used the Wilcoxon rank-sum test by MEPHAS. The significance level was set as P < 0.01. Based on the information for personnel damage estimation through SIP4D, the damage estimates are compiled for each prefecture, secondary medical zone, municipality, and school district. Additionally, it is possible to compile the number of predictive and serious patients per disaster hospital and to display it as a WEB service via the geographic information system (GIS). The information in the headquarters for disaster control is shared and visualized on the map, and thus, it is possible to use common information in each section. Furthermore, hospital damage situation, DMAT dispatch conditions, access route, and safety can also be visualized on the map. With respect to the usefulness of introducing an electronic health record at the time of a disaster, the median time to transfer medical information corresponded to 23.5 min in the group that used electronic health records (8 cases) and 41 min in the group that did not use electronic health records (8 cases). The results indicated a significantly shortened time in the group that used the electronic health record (P = 0.0073). It is ideal to estimate the number of patients and hospital damage from information that can grasp the scale of the disaster, such as intensity of an earthquake, set up appropriate headquarters, calculate the required number of DMATs, and instantaneously determine dispatch means and safety routes accordingly. Furthermore, patient information is digitalized from the point of triage, linked to the medical chart for disaster, managed collectively, and entered into the cloud. It is desirable to share patient information across the country. Based on the medical needs predicted from the information, it is also desirable to calculate the appropriate destination and means of transporting the patient in line with the actual damage situation such as infrastructure and road information. Another goal involves building a system that can calculate the aforementioned measures by using artificial intelligence. SIP4D is recognized as useful in terms of the integration and sharing of disaster information, damage situation, and hazard information gathering. It is assumed that SIP4D will lead to a major change in the existing DMAT operation regime. Additionally, the creation of an electronic medical record at the time of disaster and sharing it on the cloud system decreases the time of handover of a patient’s medical information when medical evacuation to a remote place occurs. It is expected that this can aid in improving the efficiency of the medical support team, and thereby, reduce preventable disaster deaths.


2018 ◽  
Vol 7 (4) ◽  
pp. 60
Author(s):  
Hanen Ghorbel ◽  
Sirine Farjallah

The meta-modeling of medical records helps standardize and capitalize the expert’s knowledge domain. It promotes the interoperability knowledge and the reuse of clinical concepts, i.e., archetypes. It also promotes high quality electronic medical record system (EMRS) design, which helps provide better care service delivery. As a result, different standards of medical informatics use the dual model to support interoperability between Medical Information Systems. We particularly quote ISO/EN 13606 and OpenEHR. However, the use of these standards still presents challenges. Apart from political reasons, the main obstacles to the adoption of these standards include: (1) a lack of guides and methodological tools to facilitate the construction of EMRS using two conceptual levels. Designers must have languages, approaches and tools to assist them in the modeling of archetypal EMRS; (2) a lack of methodologies for semantic activities on the content of electronic health records in the semantic web environment; (3) and a lack of management of uncertainties and inaccuracies that may exist in the medical field. Theconstruction of an approach to modeling EMRS according to the dual model approach, considering the uncertainties, inaccuracies and semantics of these systems, is a difficult task, given the challenges to emancipate. In literature, we don’t find such an approach. We, therefore, defined one in this paper. Our goal is to guide the designer in all stages of developing a new generation of EMRS, from analysis and specification of requirements to implementation. To achieve this goal, we have created an approach to support the following activities: (1) clinical concepts and information management and meta-modeling in accordance with the openEHR standard, (2) integration of the semantic dimension into EMRS considered to enable the execution of semantic activities in the semantic web environment; and (3) integration of the fuzzy dimension into electronic medical record data structures. As a contribution, we defined an approach called Fuzzy SemanticOpenEHR allowing the integration of semantic and fuzzy dimensions into EMRS modeled using the openEHR standard. Fuzzy SemanticOpenEHR intends to help and equip the designer during the different phases of creating a fuzzy ontology. Thanks to the mechanisms offered by this approach, we have been able to obtain a fuzzy ontological basis that can serve as a knowledge base that can support the semantic interoperability between EMRS, the deduction of new knowledge and the taking of knowledge’s clinical decision. To test our contribution, we proceeded to the realization of a prototype of tools realized for the pediatric neurology service of the university hospital “Hédi Chaker Sfax - Tunisia” and the association of the handicapped persons safeguard of Sfax. This prototype is a framework called “XML 2 FuzzyOWL”. Then, we tested this framework using a case of a disease which is “Cerebral Palsy”.


2016 ◽  
Vol 50 (4) ◽  
Author(s):  
Arturo M. Ongkeko, Jr. ◽  
Randy G. Fernandez ◽  
Patrick G. Sylim ◽  
Abegail Jayne P. Amoranto ◽  
Marie-Irene Ronquillo-Sy ◽  
...  

The CHITS (Community Health Information and Tracking System), the first electronic medical record system in the Philippines that is used widely, has persevered through time and slowly extended its geographic footprint, even without a national policy. This study describes the process of CHITS development, its enabling factors and challenges affecting its adoption, and its continuing use and expansion through eight years of implementation (2004 to 2012) using the HOT-fit model. This paper used a case study approach. CHITS was developed through a collaborative and participative user-centric strategies. Increased efficiency, improved data quality, streamlined records management and improved morale among government health workers are benefits attributed to CHITS. Its longevity and expansion through peer and local policy adoption speaks of an eHealth technology built for and by the people. While computerization has been adapted by an increasing number of local governments, needs of end-users, program managers and policy-makers continue to evolve. Challenges in keeping CHITS technically robust, up-to-date and scalable are already encountered. Lack of standards hampers meaningful data exchange and use across different information systems. Infrastructure for electricity and connectivity especially in the countryside must be established more urgently to meet over-all development goals specially. Policy and operational gaps identified in this study have to be addressed using peoplecentric perspective and participatory strategies with the urgency to achieve universal health care. Further rigorous research studies need be done to evaluate CHITS' effects on public health program management, and on clinical outcomes.


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