Health software and health IT systems safety, effectiveness and security

2021 ◽  
Keyword(s):  
Health It ◽  
It Systems ◽  
Safety Effectiveness

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

scholarly journals Towards Open Collaborative Health Informatics - The Role of Free/Libre Open Source Principles

2011 ◽  
Vol 20 (01) ◽  
pp. 63-72
Author(s):  
H. Schmuhl ◽  
A. Marcelo ◽  
J. Dal Molin ◽  
G. Wright ◽  
T. Karopka
Keyword(s):  
Health Care ◽  
Open Source ◽  
Health Informatics ◽  
Medical Knowledge ◽  
Legal Framework ◽  
Health It ◽  
It Systems ◽  
Group Data ◽  
Diverse Application ◽  
Critical Problems

SummaryTo analyze the contribution of Free/Libre Open Source Software in health care (FLOSS-HC) and to give perspectives for future developments.The paper summarizes FLOSS-related trends in health care as anticipated by members of the IMIA Open Source Working Group. Data were obtained through literature review and personal experience and observations of the authors in the last two decades. A status quo is given by a frequency analysis of the database of Medfloss.org, one of the world’s largest platforms dedicated to FLOSS-HC. The authors discuss current problems in the field of health care and finally give a prospective roadmap, a projection of the potential influences of FLOSS in health care.FLOSS-HC already exists for more than 2 decades. Several projects have shown that FLOSS may produce highly competitive alternatives to proprietary solutions that are at least equivalent in usability and have a better total cost of ownership ratio. The Medfloss.org database currently lists 221 projects of diverse application types.FLOSS principles hold a great potential for addressing several of the most critical problems in health care IT. The authors argue that an ecosystem perspective is relevant and that FLOSS principles are best suited to create health IT systems that are able to evolve over time as medical knowledge, technologies, insights, workflows etc. continuously change. All these factors that inherently influence the development of health IT systems are changing at an ever growing pace. Traditional models of software engineering are not able to follow these changes and provide up-to-date systems for an acceptable cost/value ratio. To allow FLOSS to positively influence Health IT in the future a "FLOSS-friendly" environment has to be provided. Policy makers should resolve uncertainties in the legal framework that disfavor FLOSS. Certification procedures should be specified in a way that they do not raise additional barriers for FLOSS.

Sign in / Sign up

Export Citation Format

Share Document