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

Martínez, Diego A.; Mora, Eng Elena Villalba; Gemmani, M.; Zayas‐Castro, José L.

doi:10.4338/aci-2015-06-ra-0068

Cited by 4 publications

(1 citation statement)

References 55 publications

(51 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The intent was to reduce much of the clutter common in many of the tools, and to streamline an overview of important patient factors, with links to more detailed information as needed for more efficient and quicker viewing of necessary information. 13 14 Monthly meetings were scheduled to explore and develop content to satisfy common user requirements. Verbal and written surveys were conducted over several months to reach consensus on critical handoff elements.…”

Section: Methodsmentioning

confidence: 99%

A Collaborative Partnership between the Multicenter Handoff Collaborative and an Electronic Health Record Vendor

et al. 2021

View full text Add to dashboard Cite

Objectives The operating room is a specialized, complex environment with many factors that can impede effective communication during transitions of care between anesthesia clinicians. We postulated that an efficient, accessible, standardized tool for intraoperative handoffs built into standard workflow would improve communication and handoff safety. Most institutions now use an electronic health record (EHR) system for patient care and have independently designed intraoperative handoff tools, but these home-grown tools are not scalable to other organizations and lack vendor-supported features. The goal of this project was to create a standardized, intraoperative handoff tool supported by EHR functionality. Methods The Multicenter Handoff Collaborative, with support from the Anesthesia Patient Safety Foundation, created a working group of frontline anesthesia experts to collaborate with a development team from the EHR vendor (Epic Systems) to design a standardized intraoperative handoff tool. Over 2 years, the working group identified the critical elements for the tool and software usability, and the EHR team designed a standardized intraoperative handoff tool that is accessible to any institution using this EHR. Results The first iteration of the intraoperative handoff tool was released in August 2019, with a second version in February 2020. The tool is standardized but customizable by individual institutions. Conclusion We demonstrate that work on complex health care processes critical to patient safety, such as handoffs, can be performed on a national scale through cross-industry collaboration. Frontline experts can partner with health care industry vendors to design, build, and release a product on an accelerated timeline.

show abstract

Section: Methodsmentioning

confidence: 99%

A Collaborative Partnership between the Multicenter Handoff Collaborative and an Electronic Health Record Vendor

et al. 2021

View full text Add to dashboard Cite

show abstract

A strategic gaming model for health information exchange markets

Martínez

Feijoo

Zayas‐Castro

et al. 2016

Health Care Manag Sci

View full text Add to dashboard Cite

Current market conditions create incentives for some providers to exercise control over patient data in ways that unreasonably limit its availability and use. Here we develop a game theoretic model for estimating the willingness of healthcare organizations to join a health information exchange (HIE) network and demonstrate its use in HIE policy design. We formulated the model as a bi-level integer program. A quasi-Newton method is proposed to obtain a strategy Nash equilibrium. We applied our modeling and solution technique to 1,093,177 encounters for exchanging information over a 7.5-year period in 9 hospitals located within a three-county region in Florida. Under a set of assumptions, we found that a proposed federal penalty of up to $2,000,000 has a higher impact on increasing HIE adoption than current federal monetary incentives. Medium-sized hospitals were more reticent to adopt HIE than large-sized hospitals. In the presence of collusion among multiple hospitals to not adopt HIE, neither federal incentives nor proposed penalties increase hospitals' willingness to adopt. Hospitals' apathy toward HIE adoption may threaten the value of inter-connectivity even with federal incentives in place. Competition among hospitals, coupled with volume-based payment systems, creates no incentives for smaller hospitals to exchange data with competitors. Medium-sized hospitals need targeted actions (e.g., outside technological assistance, group purchasing arrangements) to mitigate market incentives to not adopt HIE. Strategic game theoretic models help to clarify HIE adoption decisions under market conditions at play in an extremely complex technology environment.

show abstract

An Electronic Dashboard to Monitor Patient Flow at the Johns Hopkins Hospital: Communication of Key Performance Indicators Using the Donabedian Model

et al. 2018

View full text Add to dashboard Cite

Efforts to monitoring and managing hospital capacity depend on the ability to extract relevant time-stamped data from electronic medical records and other information technologies. However, the various characterizations of patient flow, cohort decisions, sub-processes, and the diverse stakeholders requiring data visibility create further overlying complexity. We use the Donabedian model to prioritize patient flow metrics and build an electronic dashboard for enabling communication. Ten metrics were identified as key indicators including outcome (length of stay, 30-day readmission, operating room exit delays, capacity-related diversions), process (timely inpatient unit discharge, emergency department disposition), and structural metrics (occupancy, discharge volume, boarding, bed assignation duration). Dashboard users provided real-life examples of how the tool is assisting capacity improvement efforts, and user traffic data revealed an uptrend in dashboard utilization from May to October 2017 (26 to 148 views per month, respectively). Our main contributions are twofold. The former being the results and methods for selecting key performance indicators for a unit, department, and across the entire hospital (i.e., separating signal from noise). The latter being an electronic dashboard deployed and used at The Johns Hopkins Hospital to visualize these ten metrics and communicate systematically to hospital stakeholders. Integration of diverse information technology may create further opportunities for improved hospital capacity.

show abstract

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

Cited by 4 publications

References 55 publications

A Collaborative Partnership between the Multicenter Handoff Collaborative and an Electronic Health Record Vendor

A Collaborative Partnership between the Multicenter Handoff Collaborative and an Electronic Health Record Vendor

A strategic gaming model for health information exchange markets

An Electronic Dashboard to Monitor Patient Flow at the Johns Hopkins Hospital: Communication of Key Performance Indicators Using the Donabedian Model

Contact Info

Product

Resources

About