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There is growing interest in using data captured in electronic health records (EHRs) for patient registries. Both EHRs and patient registries capture and use patient-level clinical information, but conceptually, they are designed for different purposes.
- Vera Ehrenstein, Hadi Kharrazi, Harold Lehmann, Casey Overby Taylor
- 2019/10
- 2019
Descriptive information related to the points of care may be useful in capturing differences in care patterns and can also be used to track patterns of referral of care (e.g., outpatient clinic, inpatient hospital, academic center, emergency room, pharmacy).
- Richard E Gliklich, Nancy A Dreyer, Michelle B Leavy
- 2014/04
- 2014
- Ongoing
In addition to a universal patient identifier and patient matching algorithms, other strategies are emerging to manage patient identities in disparate electronic health care data sources, including biometrics and master patient indices.
- Richard E Gliklich, Nancy A Dreyer, Michelle B Leavy
- 2014/04
- 2014
- Design
- Setting
- Phase One: Identifying Use Cases of EMR Data For Performance Measurement
- Phase Two: Describing Initiatives Identified
- Phase Three: Exploring Considerations to Further Uses of EMR Data
- Ethics
We employed a qualitative case study design and descriptive assessment in three phases (Fig. 1) . Reporting is in accordance with the Standards for Reporting Qualitative Research . First, we consulted multiple data sources, including system leaders and researcher/clinicians across Canadian jurisdictions, to systematically identify use cases (initia...
In Canada, the 13 provincial and territorial governments steward PHC services for their populations . This autonomy accounts in part for the variation across jurisdictions with regards to how a PHC approach is defined, including its delivery as primary care services, organization of practices (e.g. solo physician, group or multi-profile practices) ...
In the absence of an up-to-date overview of EMR data as a source for performance measurement in Canada, we first explored uses and sources of PHC performance measurement across jurisdictions. We took as a basis a related environmental scan conducted by the Canadian Institute for Health Information (CIHI) (CIHI, unpublished data, 2016). From this, a...
We developed a description of the initiatives identified from a healthcare performance intelligence perspective in the approach visualized in Fig. 2. Creating healthcare performance intelligence accounts for the varied steps to convert data to indicators, information to knowledge, and use of this knowledge as action in decision-making . To be actio...
As a final phase, we explored the underlying main challenges to further the use of EMR data as a source for performance measurement in the Canadian context. Thematic analysis was used to analyze the collected data of the first two phases . Data analysis was performed manually in a deductive and inductive approach [31, 32]. The deductive analysis wa...
The research adheres to the Dutch ethics guidelines stated in “Medical Research Act with People (Wet medisch-wetenschappelijk onderzoek met mensen (WMO)) [Dutch], in BWBR0009408, W.a.S. Ministry of Health, Editor. 1998: Hague, Netherlands” , for which verbal consent was deemed adequate by the authors as no human data was retained. To ensure informe...
- Erica Barbazza, Sara Allin, Mary Byrnes, Andrea D Foebel, Tanya Khan, Patricia Sidhom, Niek S Klazin...
- 2021
patient identification data and the assignment of a record number or verification of an existing record number should be the first step of every admission or visit to a hospital or health center. It is the only way to ensure correctly identified health records. 1. Alphabetic Identification
Feb 17, 2020 · Overview. This toolkit is a set of resources to optimize the analysis and use of data collected through routine health facility information systems, also known as health management information systems (HMIS). The comprehensive toolkit includes a series of integrated modules shown below.
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There are many different sources and types of healthcare data. This book focuses on real-world data, data that are collected during the course of delivering healthcare. This can come in many different forms, though the most common is data from electronic health records (EHRs).
