Evidence map›Paper›PMID 29403574›Full record

ArticleOnline journal of public health informatics2017

A State-wide Health IT Infrastructure for Population Health: Building a Community-wide Electronic Platform for Maryland's All-Payer Global Budget.

Elham Hatef, Hadi Kharrazi, Ed VanBaak, Marc Falcone, Lindsey Ferris, Kory Mertz, Chad Perman, Alice Bauman, Elyse C Lasser, Jonathan P Weiner

Abstract read
In one paragraph

Article in Online journal of public health informatics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Elham HatefCenter for Population Health IT, Department of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD.
Hadi KharraziCenter for Population Health IT, Department of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD.
Ed VanBaakChesapeake Regional Information System for our Patients (CRISP), Columbia, Maryland.
Marc FalconeChesapeake Regional Information System for our Patients (CRISP), Columbia, Maryland.
Lindsey FerrisChesapeake Regional Information System for our Patients (CRISP), Columbia, Maryland.
Kory MertzChesapeake Regional Information System for our Patients (CRISP), Columbia, Maryland.
Chad PermanOffice of Population Health Improvement, Maryland Department of Health, Baltimore, MD.
Alice BaumanOffice of Population Health Improvement, Maryland Department of Health, Baltimore, MD.
Elyse C LasserCenter for Population Health IT, Department of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD.
Jonathan P WeinerCenter for Population Health IT, Department of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Maryland Department of Health (MDH) has been preparing for alignment of its population health initiatives with Maryland's unique All-Payer hospital global budget program. In order to operationalize population health initiatives, it is required to identify a starter set of measures addressing community level health interventions and to collect interoperable data for those measures. The broad adoption of electronic health records (EHRs) with ongoing data collection on almost all patients in the state, combined with hospital participation in health information exchange (HIE) initiatives, provides an unprecedented opportunity for near real-time assessment of the health of the communities. MDH's EHR-based monitoring complements, and perhaps replaces, ad-hoc assessments based on limited surveys, billing, and other administrative data. This article explores the potential expansion of health IT capacity as a method to improve population health across Maryland. First, we propose a progression plan for four selected community-wide population health measures: body mass index, blood pressure, smoking status, and falls-related injuries. We then present an assessment of the current and near real-time availability of digital data in Maryland including the geographic granularity on which each measure can be assessed statewide. Finally, we provide general recommendations to improve interoperable data collection for selected measures over time via the Maryland HIE. This paper is intended to serve as a high level guiding framework for communities across the US that are undergoing healthcare transformation toward integrated models of care using universal interoperable EHRs.

Indexed as

Electronic Health RecordHealth Information ExchangeMaryland All-Payer ModelPopulation Health Measures

Identifiers

PMID29403574
PMCPMC5790428

What OpenQuestion holds

Textmetadata
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.