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AHRQ Research Studies Date
Topics
- Comparative Effectiveness (2)
- Data (3)
- Electronic Health Records (EHRs) (1)
- (-) Health Information Technology (HIT) (6)
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AHRQ Research Studies
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Research Studies is a compilation of published research articles funded by AHRQ or authored by AHRQ researchers.
Results
1 to 6 of 6 Research Studies DisplayedOng TC, Kahn MG, Kwan BM
Dynamic-ETL: a hybrid approach for health data extraction, transformation and loading.
The researchers designed and implemented a health data transformation and loading approach, which we refer to as Dynamic ETL (Extraction, Transformation and Loading) (D-ETL), that automates part of the process through use of scalable, reusable and customizable code. Their results showed that ETL rule composition methods and the D-ETL engine offer a scalable solution for health data transformation via automatic query generation to harmonize source datasets.
AHRQ-funded; HS019908; HS022956.
Citation: Ong TC, Kahn MG, Kwan BM .
Dynamic-ETL: a hybrid approach for health data extraction, transformation and loading.
BMC Med Inform Decis Mak 2017 Sep 13;17(1):134. doi: 10.1186/s12911-017-0532-3.
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Keywords: Comparative Effectiveness, Data, Electronic Health Records (EHRs), Health Information Technology (HIT), Patient-Centered Outcomes Research
Payne P, Lele O, Johnson B
Enabling open science for health research: Collaborative Informatics Environment for Learning on Health Outcomes (CIELO).
AcademyHealth's Electronic Data Methods (EDM) Forum implemented a proof-of-concept open science platform for health research called the Collaborative Informatics Environment for Learning on Health Outcomes (CIELO). This provided the basis for a vigorous dialogue between stakeholder community members regarding the capabilities that will add the greatest value to an open science platform for the health research community.
AHRQ-funded; HS022789.
Citation: Payne P, Lele O, Johnson B .
Enabling open science for health research: Collaborative Informatics Environment for Learning on Health Outcomes (CIELO).
J Med Internet Res 2017 Jul 31;19(7):e276. doi: 10.2196/jmir.6937.
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Keywords: Health Services Research (HSR), Health Information Technology (HIT), Outcomes, Patient-Centered Outcomes Research
Ong T, Pradhananga R, Holve E
A framework for classification of electronic health data extraction-transformation-loading challenges in data network participation.
The researchers conducted key-informant interviews with data partner representatives to survey the Extract, Transform, Load (ETL) process challenges faced in clinical data research networks (CDRNs) and registries. The paper concluded that overcoming ETL technical challenges requires significant investments in a broad array of information technologies and human resources. Identifying these technical obstacles can inform optimal resource allocation to minimize the barriers and cost of entry for new data partners into extant networks, which in turn can expand data networks' inclusiveness and diversity.
AHRQ-funded; HS019564.
Citation: Ong T, Pradhananga R, Holve E .
A framework for classification of electronic health data extraction-transformation-loading challenges in data network participation.
eGEMS 2017 Jun 13;5(1):10. doi: 10.5334/egems.222..
Keywords: Comparative Effectiveness, Data, Health Information Technology (HIT), Patient-Centered Outcomes Research, Registries
LeRouge C, Hasselquist MB, Kellogg L
Using heuristic evaluation to enhance the visual display of a provider dashboard for patient-reported outcomes.
A human-centered design (HCD) approach to understanding the data visualization needs for patient-reported outcomes (PRO) in clinical practice can optimize the visual design of an interactive PRO system. Beyond iterative methods, the authors explored the additive value of other HCD methods such as heuristic evaluation. Their evaluation led to several recommendations to improve the display, accessibility, and interpretability of the dashboard’s data.
AHRQ-funded; HS023785.
Citation: LeRouge C, Hasselquist MB, Kellogg L .
Using heuristic evaluation to enhance the visual display of a provider dashboard for patient-reported outcomes.
eGEMS 2017 Apr 20;5(2):Article 6. doi: 10.13063/2327-9214.1283.
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Keywords: Patient-Centered Healthcare, Patient-Centered Outcomes Research, Health Information Technology (HIT), Data, Shared Decision Making
Abujarad F, Alfano S, Bright TJ
AHRQ Author: Bright TJ
Building an informed consent tool starting with the patient: the patient-centered Virtual Multimedia Interactive Informed Consent (VIC).
This paper describes how the authors designed, developed, and evaluated an mHealth tool for advancing the informed consent process. Their tool enables the informed consent process to be performed on tablets (e.g., iPads) utilizing virtual coaching with text-to-speech automated translation as well as an interactive multimedia elements (e.g., graphics, video clips, animations, presentations, etc.). They present the Used-Centered Design approach they adopted to develop the tool and the results of the different methods used during the development of the tool.
AHRQ-authored; AHRQ-funded; HS023987.
Citation: Abujarad F, Alfano S, Bright TJ .
Building an informed consent tool starting with the patient: the patient-centered Virtual Multimedia Interactive Informed Consent (VIC).
AMIA Annu Symp Proc 2017 Apr 16;2017:374-83..
Keywords: Health Information Technology (HIT), Health Literacy, Patient-Centered Healthcare, Patient-Centered Outcomes Research, Patient Experience, Telehealth
Chunara R, Wisk LE, Weitzman ER
Denominator issues for personally generated data in population health monitoring.
Widespread use of Internet and mobile technologies provides opportunities to gather health-related information to complement data generated through traditional healthcare and public health systems. These personally generated data (PGD) are increasingly viewed as informative of the patient experience of conditions, symptoms, treatments, and side effect. This report summarizes issues related to specifying population at risk (PAR) and denominator metrics when using PGD for health research and outlines approaches for resolving issues using design and analytic strategies.
AHRQ-funded; HS022986.
Citation: Chunara R, Wisk LE, Weitzman ER .
Denominator issues for personally generated data in population health monitoring.
Am J Prev Med 2017 Apr;52(4):549-53. doi: 10.1016/j.amepre.2016.10.038..
Keywords: Health Information Technology (HIT), Patient-Centered Outcomes Research