Introduction
In this day and age, the healthcare industry is increasingly reliant on technology.
Almost all registrations, including health care, are following suit. In the
near future, we may use blockchain to trade health data. Since then, IT
solutions have been used by various healthcare industries. There are
GP/pharmacy/lab information systems as well as GP information systems. All of
them are HIS (HISs). The usage of HIS may improve the quality and efficiency of
patient care. Delivering high-quality treatment and securing compensation is
dependent on a well-operating Health Information System (HIS). The gathering of
trustworthy data on population health, system performance, and population
health is promoted by an effective health information system.
Background
Today,
a growing number of health information management are being utilized by a range
of health care organizations to help their operations. Health information
systems research work is sparse, and no comprehensive review of the present
status of HISs has yet been described. HIS data is difficult to understand and
classify in continuation over this. This article examines and Health
information systems from a variety of perspectives. Desktop computers used to
do the task, but nowadays mobile phones and central computer servers are
increasingly common. Each HIS has its own set of characteristics due to the
wide variety of healthcare settings and HIS implementation strategies. Health
Information Systems Health information systems used to just track medical
history, but now they do much more. All of HIS's qualities are critical to its
performance. In addition to clinical notes and medication management, HIS also
manages electronic health records (EHR). Creating, utilizing, and maintaining
these HISs is a challenge. Many studies have shown problems that are similar to
those seen in HISs. HISs have been studied extensively, but it's not clear to
whom and in what areas they may aid. The goal of this research is to use an SLR
to evaluate HISs. For the time being, we'll focus on mapping stakeholders,
domains, deployments, features, and issues (obstacles). All of these issues
have come up in previous assessments. In order to locate remedies, these
evaluators looked at the papers. However, no current research study has been
able to identify and quantify all of the challenges. Stakeholder concerns may
be better understood via a literature study. Both academics and practitioners
might benefit from the findings. It's possible for practitioners to recognize
issues and incorporate them into the system. This work may be improved by
researchers focusing on the issues. Kitchenham et al. used the same approach
for software engineering as well. As a result, we focused on a subset of HISs
rather than the whole system. .
Current
Hypothesis
According
to Kitchenham, data from 136 original studies was utilized to assess the
current state of HISs. Hospital information systems (HIS) and related subjects
such as diagnostics and surgery were covered in a number of papers. Health
information systems (HISs) are anticipated to have an effect on the extent of
stakeholder categories and qualities reported. Usage issues appears to be the
only healthcare sector-specific subcategory among many of the obstacles.
Methodology:
All
of the HISs in the world, as well as their features, stakeholders, and characteristics
as well as barriers are listed in a systematic literature review.
1.1
Features
We
used Kitchenham et al. [22]'s
software engineering ideas from Cochrane Collaboration.
As
seen in Fig. 1, We iterated till we found a good search string. Included and
excluded studies were determined. Quality evaluation weeded out low-quality
research. Fourth, we created a data extraction form (healthcare domains,
stakeholders).
1.2
Stakeholders
We
identified 41 unique stakeholders based on HIS usage (Table 6). The largest
group of HIS users, physicians and nurses were among the stakeholders. These
are the people who are affected yet do not utilize the system. A total of 45
articles referred to IT professionals. Since papers focused on system users,
patients were seldom studied in healthcare. Study participants included both
direct and indirect users and IT experts.
Table
6 The number of publications in which each of the 136 key stakeholders is
referenced.
Findings
The
136 studies included in the analytic set were synthesized to include all
stakeholders, healthcare domains, features, and impediments. All ingredients
were prepared as directed Features, Stakeholders,, Healthcare and Domains.
After discovering duplication and misspelled words, bottom-up catchall phrase
sorting was performed. The original inventor gave anything a label and a rank.
Other scholars have classified a part of the story. This study's categorization
came after a plenary discussion. There were 73 components and 69 concerns to
health care.
Results
Thirteen
hundred and forty full-text publications were found by the SLR. Our findings
included 33 areas, 41 stakeholder groups, 73-character characteristics and 69
impediments. We explored how these aspects interacted and came up with
solutions to the problems that had been highlighted. Quality, use, and
maintenance were stressed in terms of technical and operational aspects. To go
forward with HIS research, hurdles must be addressed from every angle.
Conclusions
Based
on information from three sources, researchers analyzed 136 HIS papers during
the previous decade. In-depth coverage of the healthcare industry's many
stakeholders and issues This camera should be able to capture images of the
human eye. The majority of HIS research focuses on inpatient therapy. Now
include and technological stakeholders were identified. The general information
system and the health care setting were addressed. A total of around 70 issues
are associated with his dependence. There is a broad range of characteristics
and obstacles. HIS researchers and users will benefit from this. Assist
management in making decisions or implementing new processes. Scientists and
software designers may use it to improve healthcare information systems (HIS).
The findings of this research might pave the way for new directions in HIS
study. An HIS includes changes will be built using SLR.
References
1.
Kitchenham, Pearl Brereton, O., Budgen,
D., Turner, M., Bailey, J., & Linkman, S. (2019). Systematic literature
reviews in software engineering – A systematic literature review. Information
and Software Technology, 51(1), 7–15. https://doi.org/10.1016/j.infsof.2008.09.009
2.
Charters, Budgen, D., Turner, M.,
Kitchenham, B., Brereton, O. ., & Linkman, S. (2018). Objectivity in
Research: Challenges from the Evidence-Based Paradigm. 2009 Australian Software
Engineering Conference, 73–80. https://doi.org/10.1109/ASWEC.2009.25
3.
Budgen, Charters, S., Turner, M.,
Brereton, P., Kitchenham, B., & Linkman, S. (2017). Investigating the
applicability of the evidence-based paradigm to software engineering.
Proceedings of the 2006 International Workshop on Workshop on Interdisciplinary
Software Engineering Research, 7–14. https://doi.org/10.1145/1137661.1137665
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