Research
GeHCo is constantly supporting and conducting research on health informatics, data and data usage, along with curating key resources for health professionals
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Writing Coding standards for coding quality data
This research project investigates common issues found in the way clinical coding standards are documented. This is ongoing research based upon the experience of using eHRol (our unique clinical [...]
Studying patterns of error and inconsistency in ICD clinical coding
GeHCo is working with Melbourne University masters student on this unique research project to investigate and identify patterns of common errors and inconsistency in clinical coding. If you would [...]
Resources
GeHCo and its global partners have curated this list of key resources in the areas of health informatics, nursing informatics and general useful links.
Health Informatics
Health Informatics (HI) refers to the rapidly evolving discipline of using technology, information, data and communications to support health related fields, such as medicine, nursing, pharmacy and dentistry. Members [...]
Nursing Informatics
Nursing Informatics (NI) integrates nursing with information and analytical sciences to support nurses, patients and healthcare professionals in their decision-making. This resource library provices a directory of key Nursing [...]
Publications
Big Data Needs Little Data
Big Data needs Little Data_H.Grain presented to Hospital Costing and Health Coding Forum This presentation indicates the need to understand how to obtain quality data at the workplace, in order [...]
Terminology Map Quality
ISO TS 21564 Terminology Resource Map Quality Measures (MapQual) GeHCo provided leadership to the development of this ISO publication - see how to assess the quality of a data [...]
Illusions of Interoperability
Understand the full implications and requirements for interoperability. This is not just sharing data between systems, but the need for data in our systems to be able to [...]
Additional publications from the GeHCo community
2022 H. Grain Coding Complexity Level Assessment and Representation
Updated methodology for consistent representation of difficulty of clinical coding for an individual episode of care. This work is used to classify the difficulty of episodes coding in the eHRol clinical coder training system. This is an update of the version created in 2020.
2019 Health Information Standards: https://link.springer.com/referenceworkentry/10.1007%2F978-3-319-69892-2_449-1
Grain H. (2019) Health Information Standard. In: Gu D., Dupre M. (eds) Encyclopedia of Gerontology and Population Aging. Springer, Cham
- 2019 “Technology Road Mapping of Two Machine Learning Methods for Triaging Emergency Department Patients in Australia” ACM International Conference Proceeding Series. Here is the link to the paper: https://dl.acm.org/
citation.cfm?doid=3357777. 3357779, 2018 Monica Jones: SNOMED CT in an NHS Acute Trust ‘The Real Deal’.
If you want to understand what is really involved in implementing practical SNOMED CT in your systems – this paper tells you what works. https://www.linkedin.com/pulse/reflections-snomed-ct-expo-2018-vancouver-monica-jones/
2015 Electronic Health Records – source of little data for big data E. Hovenga and H Grain Health Informatics 2015 conference Australia
2015 Automating Nursing Information, E.Hovenga Presented at Nursing Informatics Australia 2015 conference