Challenges and opportunities
Introduction
pandemic covid-19 has put a spotlight
on specific challenges in diagnosis
and the rewards of improving diagnostic accuracy and speed. The ability
to make a data-driven diagnosis is one
of the most fundamental skills in the
healthcare armory. And a lack of organizational infrastructure can hamper physicians’
ability to consistently make data driven diagnoses. A fragmented view of a patient
must give way to a more comprehensive,
longitudinal perspective for precise characterizations of diseases. And a fragmented
view of diagnostic processes must give way
to an integrated, enterprise-wide approach to
precision diagnosis.
The healthcare leaderships describe these
challenges and presents several approaches
to overcoming them, both for COVID-19
and for the practice of medicine. Practical
recommendations include: ensuring hospitals generate timely and accurate data, obtaining a comprehensive and longitudinal
view of the patient, transforming data into
relevant diagnostic insights, and ensuring
hospital leaders support an enterprise-wide
approach to the relevance and the systemic
execution of diagnoses s for increasing the
quality of care and reducing healthcare- and
community-related costs. In the other words
we were able to turn challenges into opportunities.
The challenges
1. Diagnostic information that is too complex
or specialized to be actionable
Initially, AS a private sector introduce secondary healthcare, we faced the crisis with a
lot of tension and anxiety due to the lack of
information received, the varying symptoms, and the failure to establish a single fixed protocol for treatment. Also, At the outset of the
covid-19 pandemic, many questions concerning when, how, and who to test needed to be
addressed nimbly, across organizations. Clinicians had no choice but to quickly learn to
improve overall accuracy and efficiency in
the diagnostic process. Many tests for PCR
and antibodies were developed, but we don’t
know how specific immunity may be to mutated virus strains. Continuously improving
the quality of data that we generate on covid19 is vital to enhancing our understanding of
the disease and how to prevent and treat it.
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2. The mental and physical exhaustion of medical professionals
During acute health crises, healthcare services are placed under excess pressure, making working life even more stressful than normal. In a pandemic, the number of patients
requiring treatment increases significantly,
placing strain on healthcare resources and on
personnel alike. Additionally, doctors perceive a greater risk to self-owing to their exposure to the patients who are most poorly –adding further stress. A further stressor is the
increased risk of infection for the families of
healthcare professionals on the front line.in
addition to continuous duties for long times
without rest because of lack of staff were resulting in psychological, mental and physical
troubles. for example, I and My family were
infected with the virus at the beginning of the
crisis and we had to isolate away from society
for a long time under unprecedented psychological pressure for me and my family.
3. Caring for a growing patient volume and ageing population
One of the biggest healthcare challenges
were be caring for an aging and chronic population. these factors not only have the potential to drive up the overall cost of healthcare,
but to also increase physician burnout and
put limits on access to healthcare services.
This inevitable demographic shift represents
a challenge to the traditional healthcare
model that cannot be addressed without a paradigm shift in how medicine is practiced. For
example, many elderly patients and those with
chronic diseases were afraid to come to our
medical center. We had to send special medical teams to the them to follow up and treat them, and this led to a lot of wasted time and
increased the financial cost for these.
Opportunities
Challenge of iagnostic information that is
too complex or specialized to be actionable
led to that healthcare leaders were heading toward digitalization of our healthcare organizations as one unites (blockchain). AI-based
tools can support complex integration of multiple data sources and comparison of individual patient data with aggregated data sets to
streamline and improve clinical decision-making. Today, there are tools available that
aid in a specific field, as in aiding in interpretation of imaging data, and other tools that incorporates multiple data sources (imaging,
lab, EHR, etc.) to suggest a treatment pathway.
Challenge of mental and physical exhaustion
of medical professionals were heading us toward necessary of psychological and moral
support from the healthcare leadership and
the community, and this was evident during
the pandemic, and the community considered
doctors as heroes and warriors on the front
lines. The pandemic was an opportunity to
change the organizational planning and material policies that preserve the rights of medical professionals, psychological and material, as they are an important national security.
Challenge of Caring for a growing patient
volume, chronic and ageing population were
heading us toward necessary of Implementation of healthcare ecosystem with extending
of healthcare environment including everywhere the digital healthcare transformation
one of examples for healthcare ecosystem. ,
where the digitalization of medicine is making integrated data-driven approaches to diagnosis and treatment a real possibility.
Technology is also enabling decentralized
care and precise remote monitoring, so that
physicians will have greater insight than ever
before into the mechanisms of disease and
how they affect patients’ lives. Prior to the
pandemic, healthcare providers around the
world have already been paving the way in
their digital journey, and their efforts have
helped them manage the covid-19 challenge.
Conclusion
Within pandemic covid-19crisi there is no
doubt that the whole world, with the
healthcare system at its head, faced many
challenges, including:
1- Low-quality, inaccurate, or incomplete
data/test results challenge was transformed to an opportunity for digitalization of healthcare organizations all over
the world as one network (as a blockchain).
2- The mental and physical exhaustion of
medical professionals' challenge was
transformed to opportunity for paying attention to the mental health of professionals and amending their financial regulations in line with the national role they
play.
3- Caring for a growing patient volume,
chronic patient and ageing population
challenge was transformed to opportunity
for Relying on technology as one of the
means that can save us a lot of effort, time
and cost.
Finally, we know that health care challenges will not end, but the healthcare
system must be reliable, resilient, agile
and sustainable modernity to be able to
meet these challenges towards a better future for healthcare.
THANK YOU
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