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The Value of Health IT
Published in Salvatore Volpe, Health Informatics, 2022
The role of Health Information Exchange (HIE) became increasingly important and also challenging during the early days of the pandemic. As patients were moving because of the pandemic, in many cases triaged from one facility to another, it was challenging to access health information. Pre-existing regulations around privacy at both the state and local levels presented a significant barrier to the creation of ad hoc systems of care and dissemination of information about a patient’s infectious status across state lines amid a mobile population (Lenert and McSwain 2020). The technological capabilities exist; however, regulation and policies must align. (See chapter 15: Health Information Exchange: An Overview & New York State’s Model).
Consumer Access and Control of Data, Data Sharing, Consumer Participation
Published in Connie White Delaney, Charlotte A. Weaver, Joyce Sensmeier, Lisiane Pruinelli, Patrick Weber, Nursing and Informatics for the 21st Century – Embracing a Digital World, 3rd Edition, Book 4, 2022
Health Information Exchange (HIE) research findings have mostly focused on the attitudes, beliefs and perceptions of individuals when questioned about their health information being included in information exchange networks (Moon, 2017). More recent studies have focused on the factors that influence the health data sharing preferences of consumers. Preference is the ability to make a choice where there are alternatives. HIE has mostly operationalized binary consent expressions known as ‘Opt-out' (choose to not participate) and ‘Opt-in' (choose to participate) (ONC Patient Consent Models, 2020). Opt-out models applied to individually identifiable information mean that all health data belonging to an individual is not included in the network. Thus, when a provider looks for the individual's information, a message will be returned that “no information is found”. The individual's information will either be suppressed, or it will not be accepted when message content reaches the HIE. Some have deemed the binary expression of opt-out and opt-in to be an informed choice. Research shows that consumers are influenced by a set of factors in these binary choices. Table 6.1 describes the statistically significant demographic attributes associated with affirmative and negative, health data sharing preferences derived from a critical review of the literature (Moon, 2017).
Using technology to enhance learning and practice in collaborative working in public health
Published in Dawne Gurbutt, Jonny Currie, Liz Anderson, Russell Gurbutt, E. Riesen, M. Morley, D. Clendinneng, S. Ogilvie, M.A. Murray, P. Thompson, Lucy Kululanga, Patricia Donovan, Weir Hannele, Collaborative Practice for Public Health, 2018
Russell Gurbutt, E. Riesen, M. Morley, D. Clendinneng, S. Ogilvie, M.A. Murray, P. Thompson
In this example they identify a need for a health information exchange that is intended to facilitate access to and retrieval of clinical data to provide safer, timelier, efficient, effective, equitable and patient-centred care. The eHealth initiative in the USA published a road map as a method of developing a sustainable ehealth exchange (www.ehidc.org/assets/eHealthInitiative2020RoadmapPart1-e7d2ab806d09 265c2e2cf3db9755c9ec327c37d1ed7f54f619d1ffd90ea873c3.pdf).
Industrial engineering into healthcare – A comprehensive review
Published in International Journal of Healthcare Management, 2021
G.V.S.S. Sharma, C.L.V.R.S.V. Prasad, M. Srinivasa Rao
Information technology (IT) has grown by leaps and bounds. The present era is of Industry 4.0 wherein IT plays a key role in integrating all the information systems inside and outside the manufacturing center. Healthcare also is no different and the same principles apply as those in manufacturing. Health Information System (HIS) is a system designed to manage healthcare data and it includes systems that collect, store, manage, and transmit patients’ electronic medical record (EMR) [81]. HIS with the help of IT opens up a plethora of advantages like minimizing the hospital admission rate [82] for achieving sustainable improvements [83], improving patient care quality, and reducing resource utilization costs [84]. The data pattern observed in Health information exchange (HIE) are used by policymakers in framing the healthcare policies [85]. Another important aspect pertains to the safety of HIE data [86]. Interoperability and sharing of sensitive electronic healthcare data is one of the prime aspects of HIS [87]. Many local HIS are connected to each other to form an HIE network [88] which plays a vital role in decision-making in Health Information Management (HIM) [89]. A centralized HIS supports the physical mobility among the patients such that the patient’s EMR can be accessed from any corner of the geographic regions [90].
NEMSMA Position Statement and White Paper: Process and Outcomes Data Sharing between EMS and Receiving Hospitals
Published in Prehospital Emergency Care, 2020
Michael R. Gunderson, Aaron Florin, Mark Price, Justin Reed
Efforts have been made to provide EMS crews with real-time information on specific patients (16). For high-quality prehospital care, EMS crews must have access to EHRs during each individual encounter. Regional health information exchanges (HIE) provide interoperability by allowing access to patient records across disparate electronic health record products (17, 18). A point-to-point tool is available to emergency department staff (18). HIPAA-compliant access is feasible through EMS-ready HL7 sharing to provide real-time medical history crucial for effective patient care. A great deal of the HL7 information is solely designed to be consumed in the EHR. The ability to produce data that an ePCR system can consume is completely different, as NEMSIS V3.4 data is still relatively new. NEMSIS V3.4 is considered the most advanced EMS dataset established so far, which leads the vision of a true exchange of clinical data with HIEs (19).
Improving the Continuum of Care by Bridging the Gap between Prehospital and Hospital Discharge Data through Stepwise Deterministic Linkage
Published in Prehospital Emergency Care, 2020
Vatsal Chikani, Robyn Blust, Anne Vossbrink, Patrick Wightman, Shelley Bissell, Joe Graw, Rogelio Martinez, Benjamin Fisher
The next step in this process is to integrate other databases that overlap with the same cohort of patients (e.g., crash database, cardiac arrest database, vital records, and trauma registry). Having access to information on a patient’s entire episode of care will allow healthcare professionals to evaluate their impact at the patient and system levels (17–19). As hospitals and healthcare organizations continue to adopt electronic charting, the integration of data to evaluate the continuum of care will become more achievable. One of the Federal efforts for future integration is a bidirectional health information exchange (HIE) which will ideally incorporate electronic EMS patient care records into a patient’s medical record (20). HIE represents a future state with limited adoption, funding, and technical barriers to incorporating new data sources such as an EMS registry. The stepwise deterministic linkage we propose will be a useful method to validate any future linkage between EMS and HIE record and is immediately available while other technologies are implemented.