Journal ArticleDOI
Using health information technology to manage a patient population in accountable care organizations.
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TLDR
Understanding is increased of the extent of ACOs' current and developing HIT capabilities to support ongoing care management, and different strategies ACOs are using to develop HIT-based capabilities are described.Abstract:
Purpose - The purpose of this paper is to describe the current landscape of health information technology (HIT) in early accountable care organizations (ACOs), the different strategies ACOs are using to develop HIT-based capabilities, and how ACOs are using these capabilities within their care management processes to advance health outcomes for their patient population. Design/methodology/approach - Mixed methods study pairing data from a cross-sectional National Survey of ACOs with in-depth, semi-structured interviews with leaders from 11 ACOs (both completed in 2013). Findings - Early ACOs vary widely in their electronic health record, data integration, and analytic capabilities. The most common HIT capability was drug-drug and drug-allergy interaction checks, with 53.2 percent of respondents reporting that the ACO possessed the capability to a high degree. Outpatient and inpatient data integration was the least common HIT capability (8.1 percent). In the interviews, ACO leaders commented on different HIT development strategies to gain a more comprehensive picture of patient needs and service utilization. ACOs realize the necessity for robust data analytics, and are exploring a variety of approaches to achieve it. Research limitations/implications - Data are self-reported. The qualitative portion was based on interviews with 11 ACOs, limiting generalizability to the universe of ACOs but allowing for a range of responses. Practical implications - ACOs are challenged with the development of sophisticated HIT infrastructure. They may benefit from targeted assistance and incentives to implement health information exchanges with other providers to promote more coordinated care management for their patient population. Originality/value - Using new empirical data, this study increases understanding of the extent of ACOs' current and developing HIT capabilities to support ongoing care management.read more
Citations
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Evaluating the effect of data standardization and validation on patient matching accuracy.
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References
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Coordinating Mechanisms in Care Provider Groups: Relational Coordination as a Mediator and Input Uncertainty as a Moderator of Performance Effects
TL;DR: A model of how coordinating mechanisms work, and routines work byenhancing interactions among participants is proposed, and all three coordinating mechanisms, including routines, were found to be increasingly effective under conditions of uncertainty.
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Creating Accountable Care Organizations: The Extended Hospital Medical Staff
TL;DR: It is shown that Medicare beneficiaries receive most of their care from relatively coherent local delivery systems comprising physicians and the hospitals where they work or admit their patients.
Journal ArticleDOI
Despite Substantial Progress In EHR Adoption, Health Information Exchange And Patient Engagement Remain Low In Office Settings
Michael F. Furukawa,Jennifer King,Vaishali Patel,Chun Ju Hsiao,Julia Adler-Milstein,Ashish K. Jha +5 more
TL;DR: It was found that 30 percent of physicians routinely used capabilities for secure messaging with patients, and 24 percent routinely provided patients with the ability to view online, download, or transmit their health record.
Journal ArticleDOI
Accountable care organizations: accountable for what, to whom, and how.
TL;DR: The success of ACOs will depend in large part on whether the Centers forMedicare&MedicaidServices, private payers, physicians, and health system leaders can work together to establish a tightly linked performance measurement and evaluation framework that not only ensures accountability to patients and payers.
Accountable ऀð Care ऀð Organizations: ऀð Accountable ऀð for ऀð ऀð What, ऀð to ऀð Whom, ऀð and ऀð How? ऀð
TL;DR: In this article, the authors present a performance measurement and evaluation framework for accountable care organizations (ACO) that not only ensures accountability to patients and payers, but also supports rapid learning,timely correcting of policy andorganizational missteps, and broad dissemination of successful organizational and practice innovations.