Health Information Management and Clinical Coding Workforce Issues

2010 ◽  
Vol 39 (3) ◽  
pp. 37-41 ◽  
Author(s):  
Jennie Shepheard
Keyword(s):  
Health Information ◽  
Information Management ◽  
Health Information Management ◽  
Clinical Coding ◽  
Workforce Issues

Ethical leadership and why health information management professionals need to be involved. Commentary on Health information is central to changes in healthcare: a clinician’s view (Hoyle, 2019)

2018 ◽  
Vol 48 (1) ◽  
pp. 52-55
Author(s):  
Jennie Shepheard
Keyword(s):  
Health Information ◽  
Information Management ◽  
Ethical Leadership ◽  
Health Information Management ◽  
Clinical Coding ◽  
Code Assignment ◽  
Episode Of Care ◽  
Coding Standards ◽  
Management Professionals ◽  
Ethical Oversight

Philip Hoyle presents a compelling argument for the significant and highly valued role that the management of health information plays in the Australian healthcare system and the delivery of health services in this country. However, he also brings to our attention the ill-defined nature of the ethical oversight of this very information. Hoyle uses words such as “honesty,” “commitment to beneficence,” “commitment to equity” and “respect for variation” when describing the characteristics of ethical leadership. He singles out health information management professionals – Health Information Managers (HIMs) and Clinical Coders (CCs) – as the key professional group who need to step up and seize the initiative, get conversations going, form partnerships, do research and publish findings, so the knowledge and insights that the health information management profession has the potential to offer are not only more widely known and understood but also more useful to others working in the healthcare arena. Hoyle calls on health information management professionals to step out from behind the scenes and take responsibility for the ethical use of the information they help produce. Hoyle’s words resonated powerfully with me, particularly with respect to the clinical coding workforce in Australia, which is made up of trained CCs and qualified HIMs. In a truly ethical environment, HIMs and CCs would not be asked to meet performance indicators for increased funding metrics or to change codes to avoid triggering certain indicators; they would simply be asked to ensure complete, accurate coding for every episode of care. This is what ethical leadership would look like. I am concerned about our clinical coding workforce. I am now asking, are our CCs and HIMs up to the task of taking back absolute and unchallenged ownership of their particular skill set, which makes them the keepers of the clinical coding standards and the experts in accurate and complete code assignment?

A qualitative evaluation of clinically coded data quality from health information manager perspectives

2019 ◽  
Vol 49 (1) ◽  
pp. 19-27 ◽  
Author(s):  
Chelsea Doktorchik ◽  
Mingshan Lu ◽  
Hude Quan ◽  
Cathy Ringham ◽  
Cathy Eastwood
Keyword(s):  
Quality Improvement ◽  
Data Quality ◽  
Health Information ◽  
Information Management ◽  
Health Information Management ◽  
Sources Of Information ◽  
Structured Interviews ◽  
Clinical Coding ◽  
Coding Quality ◽  
Quality Costs

Background: It is essential that clinical documentation and clinical coding be of high quality for the production of healthcare data. Objective: This study assessed qualitatively the strengths and barriers regarding clinical coding quality from the perspective of health information managers. Method: Ten health information managers and clinical coding quality coordinators who oversee clinical coders (CCs) were identified and recruited from nine provinces across Canada. Semi-structured interviews were conducted, which included questions on data quality, costs of clinical coding, education for health information management, suggestions for quality improvement and barriers to quality improvement. Interviews were recorded, transcribed and analysed using directed content analysis and informed by institutional ethnography. Results: Common barriers to clinical coding quality included incomplete and unorganised chart documentation, and lack of communication with physicians for clarification. Further, clinical coding quality suffered as a result of limited resources (e.g. staffing and budget) being available to health information management departments. Managers unanimously reported that clinical coding quality improvements can be made by (i) offering interactive training programmes to CCs and (ii) streamlining sources of information from charts. Conclusion: Although clinical coding quality is generally regarded as high across Canada, clinical coding managers perceived quality to be limited by incomplete and inconsistent chart documentation, and increasing expectations for data collection without equal resources allocated to clinical coding professionals. Implications: This study presents novel evidence for clinical coding quality improvement across Canada.

scholarly journals Findings from 2017 on Health Information Management

2018 ◽  
Vol 27 (01) ◽  
pp. 067-073
Author(s):  
Meryl Bloomrosen ◽  
Eta Berner ◽  
Keyword(s):  
Health Information ◽  
Information Management ◽  
Information Exchange ◽  
Health Informatics ◽  
Health Information Exchange ◽  
Health Information Management ◽  
Bibliographic Databases ◽  
Major Theme ◽  
Multiple Sources ◽  
Exchange Governance

Objective: To summarize the recent literature and research and present a selection of the best papers published in 2017 in the field of Health Information Management (HIM) and Health Informatics. Methods: A systematic review of the literature was performed by the two HIM section editors of the International Medical Informatics Association (IMIA) Yearbook with the help of a medical librarian. We searched bibliographic databases for HIM-related papers using both MeSH descriptors and keywords in titles and abstracts. A shortlist of 15 candidate best papers was first selected by section editors before being peer-reviewed by independent external reviewers. Results: Health Information Exchange was a major theme within candidate best papers. The four papers ultimately selected as ‘Best Papers’ represent themes that include health information exchange, governance and policy issues, results of health information exchange, and methods of integrating information from multiple sources. Other articles within the candidate best papers include these themes as well as those focusing on authentication and de-identification and usability of information systems. Conclusions: The papers discussed in the HIM section of IMIA Yearbook reflect the overall theme of the 2018 edition of the Yearbook, i.e., the tension between privacy and access to information. While most of the papers focused on health information exchange, which reflects the “access” side of the equation, most of the others addressed privacy issues. This synopsis discusses these key issues at the intersection of HIM and informatics.

scholarly journals Student Physical Health Information Management Model under Big Data Environment

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Hui Wang ◽  
Ning Wang ◽  
MeiJie Li ◽  
Simeng Mi ◽  
YaYa Shi
Keyword(s):  
Big Data ◽  
Data Analysis ◽  
Physical Health ◽  
Health Information ◽  
Information Management ◽  
Health Management ◽  
Health Information Management ◽  
Management Model ◽  
Student Health ◽  
Management Service

Health is considered an important foundation for students’ success. However, with the accelerated pace of life, rising pressure from various parties, weak health awareness, lack of exercise time, and other reasons, students’ physical quality is generally declining, the incidence of health diseases is increasing, and the onset age tends to be younger. With the development of the concept of “health first,” health management continues to expand and extend and students’ health management has attracted more attention from many aspects. Due to the late and low starting point of health management research and the lack of professional theoretical support, a complete, mature, and effective health management service system has not been established to deal with the students’ health. In order to make student health management more scientific, normative, and effective, this article has proposed big data technology to build the student health information management model. The first step of the approach is to store and analyze the data of students’ physical health. It is necessary to combine the data collection, supervision, data analysis, and data application of students’ physical health and gradually improve the national monitoring and evaluation system of students’ physical health. Student health check-up management platform is mainly used in realizing the school student information management and student health information relationship between system, science, standardization, and automation, and its main task is to use a computer to perform daily management of all previous medical information of students, such as query, modify, add, delete, and enhance the physical health of students information management ability given the large data analysis of useful information. In addition, we have built a doctor recommendation model based on online questions and answers to give specific health recommendations for students of different physiques.

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