Health information exchange system usage patterns in three communities: Practice sites, users, patients, and data

Campion, Thomas R.; Edwards, Alison; Johnson, Stephen B.; Kaushal, Rainu

doi:10.1016/j.ijmedinf.2013.05.001

Cited by 50 publications

(26 citation statements)

References 23 publications

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“…We found few other studies analyzing informational needs in the context of information exchange among healthcare organizations. Two studies, focused on the emergency department (ED) and outpatient care settings, found most OI users accessed patient summary data displayed by default in the HIE system followed by detailed laboratory and radiology information, which is consistent to what we found [58,59]. We contribute to this body of research by focusing on the inpatient care setting and hospitalists, who are key actors in coordinating the care of the patient within and outside the hospital.…”

Section: Discussionsupporting

confidence: 76%

Uncovering Hospitalists’ Information Needs from Outside Healthcare Facilities in the Context of Health Information Exchange Using Association Rule Learning

et al. 2015

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KeywordsHealth information exchange, medical record linkage, medical decision making, patient handoff, medical informatics applications SummaryBackground: Important barriers to health information exchange (HIE) adoption are clinical workflow disruptions and troubles with the system interface. Prior research suggests that HIE interfaces providing faster access to useful information may stimulate use and reduce barriers for adoption; however, little is known about informational needs of hospitalists. Objective: To study the association between patient health problems and the type of information requested from outside healthcare providers by hospitalists of a tertiary care hospital. Methods: We searched operational data associated with fax-based exchange of patient information (previous HIE implementation) between hospitalists of an internal medicine department in a large urban tertiary care hospital in Florida, and any other affiliated and unaffiliated healthcare provider. All hospitalizations from October 2011 to March 2014 were included in the search. Strong association rules between health problems and types of information requested during each hospitalization were discovered using Apriori algorithm, which were then validated by a team of hospitalists of the same department. Results: Only 13.7% (2 089 out of 15 230) of the hospitalizations generated at least one request of patient information to other providers. The transactional data showed 20 strong association rules between specific health problems and types of information exist. Among the 20 rules, for example, abdominal pain, chest pain, and anaemia patients are highly likely to have medical records and outside imaging results requested. Other health conditions, prone to have records requested, were lower urinary tract infection and back pain patients. Conclusions:The presented list of strong co-occurrence of health problems and types of information requested by hospitalists from outside healthcare providers not only informs the implementation and design of HIE, but also helps to target future research on the impact of having access to outside information for specific patient cohorts. Our data-driven approach helps to reduce the typical biases of qualitative research. Citation: Martinez DA, Mora E, Gemmani M, ZayasCastro J. Uncovering hospitalists' information needs from outside healthcare facilities in the context of health information exchange using association rule learning. Appl Clin Inform 2015; 6: 684-697 http://dx Research Article D.A. Martinez et al.: Hospitalist information needs and HIE

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Section: Discussionsupporting

confidence: 76%

Uncovering Hospitalists’ Information Needs from Outside Healthcare Facilities in the Context of Health Information Exchange Using Association Rule Learning

et al. 2015

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“…The acceptance of mobile health system depends on several factors beyond the technology's skills. These issues include the willingness of the patients, health professionals, and care contributors to adopt embrace new technology [20] [24]. To some extent, it also depends on the level to which the management will provide the necessary support.…”

Section: Introductionmentioning

confidence: 99%

MHealth for Decision Making Support: A Case Study of EHealth in the Public Sector

Al-Azzam¹,

Alazzam²,

al-Manasra³

2019

IJACSA

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This paper seeks to explore factors that determine the acceptance of the MHealth application patients. The research relied on (UTAUT2) Unified Theory of Acceptance and Use of Technology to assess the level of acceptance of a new mobile health application by patients. The study involved conducting test surveys across medical hospitals in Jordan with the goal of collecting data from hospital visitors and their patients concerning their intention to use the new mobile health application. 98 questionnaires were collected and 44 valid responses drawn from them for onward data analysis. The UTAUT2 research model was the most appropriate one for conducting the evaluation on MHealth's user acceptance. Its results would support the government's goal of building m-health solutions that meet user needs. The model also enhances the roles of DSS in facilitating adoption of MHealth applications. This study provides a theoretical framework for pursuing future research work on the rates of adoption of m-health applications by patients.

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“…First, recent research has shown that HIE adoption leads to a substantial reduction in redundant imaging, laboratory testing, and medication ordering (Hebel et al 2012, Lammers et al 2014. For instance, HIE in New York allowed clinicians to directly query patients' information and access to their laboratory and radiology reports, resulting in significant reductions in the number of tests ordered (Campion et al 2013). Given that the recent increases in ED occupancy rates are associated with increased use of diagnostic and treatment procedures such as blood tests, advanced imaging, and intravenous fluids (Pitts et al 2012), HIE adoption may lead to a reduction in LOS by reducing the number of tests ordered, thus directly saving time.…”

Section: Hypothesis Developmentmentioning

confidence: 99%

The Impact of Health Information Exchanges on Emergency Department Length of Stay

Ayer

Ayvaci

Karaca

et al. 2019

Production and Operations Management

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Health information exchanges (HIEs) are expected to improve poor information coordination in emergency departments (EDs); however, whether and when HIEs are associated with better operational outcomes remains poorly understood. In this work, we study HIE and length of stay (LOS) relationship using a large dataset from the Healthcare Cost and Utilization Project consisting of about 7.4 million treat‐and‐release visits made to 63 EDs in Massachusetts. Overall, we find that HIE adoption is associated with a 10.2% reduction in LOS and the percentage reduction increases to 14.8% when the hospital is part of an integrated health system or to 21.0% when a patient has a previous visit to an HIE‐carrying hospital. We further find that (i) teaching hospitals benefit more from HIE adoption compared with non‐teaching hospitals, (ii) patients with severe or multiple comorbid conditions spend less time in the ED under HIE presence. Together, these results imply that (i) HIE adoption reduces overall ED LOS, (ii) wider HIE adoption would scale up the benefits for individual hospitals, (iii) magnitude of the association between HIE and LOS is higher when financial incentives for HIE adoption are stronger (e.g., integrated health systems), and (iv) the size of the reduction depends on certain contextual moderating factors. Given that HIEs are a key component of healthcare delivery and ongoing reforms, we believe that our findings have important implications and may inform policymakers regarding the nationwide HIE adoption.

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Health information exchange system usage patterns in three communities: Practice sites, users, patients, and data

Cited by 50 publications

References 23 publications

Uncovering Hospitalists’ Information Needs from Outside Healthcare Facilities in the Context of Health Information Exchange Using Association Rule Learning

Uncovering Hospitalists’ Information Needs from Outside Healthcare Facilities in the Context of Health Information Exchange Using Association Rule Learning

MHealth for Decision Making Support: A Case Study of EHealth in the Public Sector

The Impact of Health Information Exchanges on Emergency Department Length of Stay

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