Standards Surrounding Medical Device Integration to Health IT Systems

2015 ◽  
pp. 149-174
Keyword(s):  
Medical Device ◽  
Health It ◽  
It Systems ◽  
Device Integration

scholarly journals Medical Device Integration Model Based on the Internet of Things

2015 ◽  
Vol 9 (1) ◽  
pp. 256-261 ◽  
Author(s):  
Aiyu Hao ◽  
Ling Wang
Keyword(s):  
Information System ◽  
Internet Of Things ◽  
Medical Device ◽  
Medical Devices ◽  
Medical Information ◽  
Medical Information System ◽  
The Internet ◽  
Model Based ◽  
Device Integration ◽  
The Internet Of Things

At present, hospitals in our country have basically established the HIS system, which manages registration, treatment, and charge, among many others, of patients. During treatment, patients need to use medical devices repeatedly to acquire all sorts of inspection data. Currently, the output data of the medical devices are often manually input into information system, which is easy to get wrong or easy to cause mismatches between inspection reports and patients. For some small hospitals of which information construction is still relatively weak, the information generated by the devices is still presented in the form of paper reports. When doctors or patients want to have access to the data at a given time again, they can only look at the paper files. Data integration between medical devices has long been a difficult problem for the medical information system, because the data from medical devices lack mandatory unified global standards and have outstanding heterogeneity of devices. In order to protect their own interests, manufacturers use special protocols, etc., thus causing medical devices to still be the "lonely island" of hospital information system. Besides, unfocused application of the data will lead to failure to achieve a reasonable distribution of medical resources. With the deepening of IT construction in hospitals, medical information systems will be bound to develop toward mobile applications, intelligent analysis, and interconnection and interworking, on the premise that there is an effective medical device integration (MDI) technology. To this end, this paper presents a MDI model based on the Internet of Things (IoT). Through abstract classification, this model is able to extract the common characteristics of the devices, resolve the heterogeneous differences between them, and employ a unified protocol to integrate data between devices. And by the IoT technology, it realizes interconnection network of devices and conducts associate matching between the data and the inspection with the terminal device in a timely manner.

Computer Virus Models and Analysis in M-Health IT Systems

2016 ◽  
pp. 284-297 ◽  
Author(s):  
Stelios Zimeras
Keyword(s):  
Health Systems ◽  
Computer Virus ◽  
The Internet ◽  
Virus Spread ◽  
Health It ◽  
Epidemiological Models ◽  
Computer Viruses ◽  
It Systems ◽  
Animal Populations ◽  
Long Time

Computer viruses have been studied for a long time both by the research and by the application communities. As computer networks and the Internet became more popular from the late 1980s on, viruses quickly evolved to be able to spread through the Internet by various means such as file downloading, email, exploiting security holes in software, etc. Epidemiological models have traditionally been used to understand and predict the outcome of virus outbreaks in human or animal populations. However, the same models were recently applied to the analysis of computer virus epidemics. In this work we present various computer virus spread models combined with applications to e-health systems.

scholarly journals An Analysis of Patient Safety Incident Reports Associated with Electronic Health Record Interoperability

2017 ◽  
Vol 08 (02) ◽  
pp. 593-602 ◽  
Author(s):  
Katharine Adams ◽  
Jessica Howe ◽  
Allan Fong ◽  
Joseph Puthumana ◽  
Kathryn Kellogg ◽  
...  
Keyword(s):  
Patient Safety ◽  
Electronic Health Record ◽  
Health Record ◽  
Health It ◽  
Specific Patient ◽  
It Systems ◽  
Safety Incident ◽  
Patient Safety Incident ◽  
Incident Reports ◽  
Electronic Health

SummaryBackground: With the widespread use of electronic health records (EHRs) for many clinical tasks, interoperability with other health information technology (health IT) is critical for the effective delivery of care. While it is generally recognized that poor interoperability negatively impacts patient care, little is known about the specific patient safety implications. Understanding the patient safety implications will help prioritize interoperability efforts around architectures and standards.Objectives: Our objectives were to (1) identify patient safety incident reports that reflect EHR interoperability challenges with other health IT, and (2) perform a detailed analysis of these reports to understand the health IT systems involved, the clinical care processes impacted, whether the incident occurred within or between provider organizations, and the reported severity of the patient safety events.Methods: From a database of 1.735 million patient safety event (PSE) reports spanning multiple provider organizations, 2625 reports that were indicated as being health IT related by the event reporter were reviewed to identify EHR interoperability related reports. Through a rigorous coding process 209 EHR interoperability related events were identified and coded.Results: The majority of EHR interoperability PSE reports involved interfacing with pharmacy systems (i.e. medication related), followed by laboratory, and radiology. Most of the interoperability challenges in these clinical areas were associated with the EHR receiving information from other health IT systems as opposed to the EHR sending information to other systems. The majority of EHR interoperability challenges were within a provider organization and while many of the safety events reached the patient, only a few resulted in patient harm.Conclusions: Interoperability efforts should prioritize systems in pharmacy, laboratory, and radiology. Providers should recognize the need to improve EHRs interfacing with other health IT systems within their own organization.Citation: Adams KT, Howe JL, Fong A, Puthumana JS, Kellogg KM, Gaunt M, Ratwani RM. An analysis of patient safety incident reports associated with electronic health record interoperability. Appl Clin Inform 2017; 8: 593–602 https://doi.org/10.4338/ACI-2017-01-RA-0014

scholarly journals Opportunities at the intersection of work and health: Developing the occupational data for health information model

2020 ◽  
Vol 27 (7) ◽  
pp. 1072-1083
Author(s):  
Stacey Marovich ◽  
Genevieve Barkocy Luensman ◽  
Barbara Wallace ◽  
Eileen Storey
Keyword(s):  
Public Health ◽  
Patient Care ◽  
Health Information ◽  
Population Health ◽  
Information Model ◽  
Classification Systems ◽  
Health It ◽  
It Systems ◽  
Value Sets ◽  
Data Elements

Abstract Objective The study sought to develop an information model of data describing a person’s work for use by health information technology (IT) systems to support clinical care, population health, and public health. Materials and Methods Researchers from the National Institute for Occupational Safety and Health worked with stakeholders to define relationships and structure, vocabulary, and interoperability standards that would be useful and collectable in health IT systems. Results The Occupational Data for Health (ODH) information model illustrates relationships and attributes for a person’s employment status, retirement dates, past and present jobs, usual work, and combat zone periods. Key data about the work of a household member that could be relevant to the health of a minor were also modeled. Existing occupation and industry classification systems were extended to create more detailed value sets that enable self-reporting and support patient care. An ODH code system, available in the Public Health Information Network Vocabulary Access and Distribution System, was established to identify the remaining value sets. ODH templates were prepared in all 3 Health Level 7 Internationalinteroperability standard formats. Discussion The ODH information model suggests data elements ready for use by health IT systems in the United States. As new data elements and values are better defined and refined by stakeholders and feedback is obtained through experience using ODH in clinical settings, the model will be updated. Conclusion The ODH information model suggests standardized work information for trial use in health IT systems to support patient care, population health, and public health.

Emotional Intelligence and Online Healthcare

2019 ◽  
Vol 4 (2) ◽  
pp. 1-14 ◽  
Author(s):  
Khadijeh Roya Rouzbehani
Keyword(s):  
Emotional Intelligence ◽  
Health Information ◽  
Healthcare System ◽  
Online Health Information ◽  
Health It ◽  
The North ◽  
Subjective Satisfaction ◽  
It Systems ◽  
Value Based Care

As the North American healthcare system moves to online value-based care, the importance of engaging patients and families continues to intensify. However, simply engaging patients and families to improve their subjective satisfaction will not be enough for providers who want to maximize value. True optimization entails developing deep and long-term relationships with patients through understanding their needs. This article discusses the result of a research conducted in Canada. Out of 1100 questionnaires which were distributed, 850 valid returns were obtained. The collected data were analyzed using a SPSS 20.0 statistical. The findings indicate that IT healthcare is rapidly growing. However, despite a significant number of initiatives in Canada related to online health information, lack of interoperability remains one of the major challenges in implementing successful health IT systems at this time.

The Effects of Information Sharing in Health IT Systems on Hospital Efficiency

2016 ◽  
Vol 2016 (1) ◽  
pp. 11706
Author(s):  
Na-Eun Cho ◽  
Weiling Ke ◽  
Bebonchu Atems ◽  
Jongwha Chang
Keyword(s):  
Information Sharing ◽  
Hospital Efficiency ◽  
Health It ◽  
It Systems
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