Data Stewardship Standards and Guidelines
docx
keyboard_arrow_up
School
Grand Canyon University *
*We aren’t endorsed by this school
Course
450
Subject
Health Science
Date
Nov 24, 2024
Type
docx
Pages
6
Uploaded by SargentRose19155
Data Stewardship Standards and Guidelines
Trisha Dutrow
GCU: HCA-360
September 29, 2023
Data Stewardship Standards and Guidelines
When it comes to healthcare information technology and HMIS, ensuring that you are
obtaining accurate data is extremely important for the progress of a health system. Collecting,
interpreting, and modeling of data allows information healthcare administrators, technology
specialists, and healthcare providers the ability to provide high quality care to their patients. The
data obtained is only effective when/if users have the ability to access and understand the data.
When the integrity of the data is well constructed it makes it easier to understand. In this essay, I
will present a plan that enforces data stewardship standards across the both the public and
clinical sectors of health based on the American Health Information Management Association
(AHMA) and Public Health Data Standards Consortium (PHDSC) partnership.
Goal
When the alignment of the public and clinical data standards are obtain it allows the
healthcare needs to be addressed more accurately. The goal is to enable and develop a new
development of practice for each clinic. Clinical data that is obtained within the process must
represent both the public and clinical data resources that are centered around healthcare progress.
When the data captured during the product development stages and activities such as “clinical
research trials and studies, or as party of the care delivery process, the data is fundamental to the
time of delivery, care value to patients, and essential to building a system that is learning from
care that is being delivered” (National Academics Press (US), 2010).
Differences of Clinical and Public Health Data
The main difference between public and clinical health data is the information that is
obtained from the perspective of patients. When it comes to public health their data is based on
the community, meaning the patients they treat. “While population health focus on more specific
approaches to ones care especially within specific populations, public health’s main focus is
promoting a healthy lifestyle and doing research to detect and prevent certain diseases in a
geographic region” (Tan, 2021). A patient is diagnosed by a provider based on the symptoms
they describe, and the provider does diagnostic tests that are necessary for their symptoms.
Public health providers diagnose health problems within the community while stressing about
ways to prevent disease while doing research.
Similarities of Clinical and Public Health Data
Despite clinical and public health data having differences, there are some similarities.
Contemplation reinforces the similarities between the population’s concerns of public health and
the individual responsibility of clinical health. There are both historical and practical reasons
why education in public health and medicine in general is proceeded much more parallel than by
intersection. There have been numerous initiatives that are bringing the principles, values,
experiences, and analytic perspectives of public health into the daily practice of those practicing
medical education (Fiebach, 2011). The developments of technology combined with the need for
electronic health records have arranged public health professionals to conduct this type of work.
“This cannot be done without having the collaboration of clinical and other sectors, which allows
the partnership on parallels” (Tan, 2021).
Proposal
A proposal for a new broader semantic strategy of data mining has become more popular
and increasingly necessary for “the development of advanced healthcare decision support
systems via Data Mining and Machine Learning” (Tan, 2021). Conflicting clinical data can have
Your preview ends here
Eager to read complete document? Join bartleby learn and gain access to the full version
- Access to all documents
- Unlimited textbook solutions
- 24/7 expert homework help
a significant impact on the spread of electronic health records and knowledge development.
Establishing strategies to use to help with approaching the clinical data for health insights,
warranted dedicated cooperative efforts by public health developers and apply them.
Action Plan
Business understanding, that allows the ability to identify specific business objectives,
such as data mining goals, is the first steps when it comes to standardizing data stewardship
guidelines. “Understanding the data, preparation of the data is the second important step, because
no data means no mining” (Tan, 2021). To make sure that healthcare is maintained consistency,
the adaptation of business intelligence techniques helps to make sure that clinics are performing
and corresponding better with patients when it comes to clinical and public health sectors. All
healthcare professionals will have the ability to review and share data after consenting patients
properly. “Data is collected by using predictive analytics that are involving statistical methods
and technology over voluminous data to help predict the outcome for each patient, to help predict
fraud in healthcare, or predict the requirements for resources” (Tan, 2021). This plan will
primarily focus on confidentiality and maintenance of the interpretation and distribution of data
throughout the EHR system.
Collaboration of Organizations
Data stewardship is a technical concept that has deep roots in the science and practice of
data collection, sharing and analysis (Rosenbaum, 2010). Collection, sharing, and analysis intend
to raise the level of trust and responsibility towards the data. This collaboration has an effect on
patients, healthcare providers, and public and private health care organizations by considering
the value of fair information practice, “data stewardship indicates the approach to the
management of data that has the ability to identify individuals” (Rosenbaum, 2010).
Infrastructure of Health Care Systems
Having this collaboration and partnership gives the infrastructure of health care systems
and technology strength, it gives the opportunity to advance health information technology data
standards while also aligning data standards for both public and clinical health. “Both public and
clinical health have a commitment to the advancement of their professions through health
information technology and standards” (Tan, 2021). “Both public and clinical health have
worked on standardizing health information technology for population health” (Tan, 2021). This
plan to introduce a new broader semantic strategy of data mining analysis for the development of
strategies to help establish common data standards among both public and clinical health sectors
that will help ensure successful mergers and partnerships.
References
Fiebach N.H., Rao D., Hamm M.E. (2011). A curriculum in health systems and public health for
internal medicine residents. American Journal of Preventative Medicine. 2011; 41: S264-
S269
National Academies Press (US). (2010).
Summary
. Clinical Data as the Basic Staple of Health
Learning - NCBI Bookshelf. https://www.ncbi.nlm.nih.gov/books/NBK54290/
Rosenbaum S. (2010). Data governance and stewardship: designing data stewardship entities and
advancing data access. Health services research, 45(5 Pt 2), 1442–1455.
https://doi.org/10.1111/j.1475-6773.2010.01140.x
Tan, J. (with Olla, P. & Tan, J.) (2021).
Adaptive health management information systems:
Concepts, cases, and practical applications
(4th ed.). Burlington, MA: Jones & Bartlett
Learning. ISBN-13: 9781284153897
Your preview ends here
Eager to read complete document? Join bartleby learn and gain access to the full version
- Access to all documents
- Unlimited textbook solutions
- 24/7 expert homework help