| HOW POPULATION HEALTH ANALYTICS IS ENRICHING THE FUTURE OF HEALTHCARE INDUSTRY | The Healthcare Industry is increasing when it comes to the
development of their patient's health and safety. Population Health
Analytics collects the local population's data across multiple
information technology resources combined into a single patient's
record, improving their clinical and financial outcomes. It assists
with the proper patient identification and seamlessly collects
healthcare data from multiple healthcare sources. Population Health
Solutions is an approach to identify and resolve healthcare issues
of the whole population. It segments the needs of the patients and
provides them with the best services to meet their needs. The local
population is divided into several groups depending on their health
risk identification and various aspects such as health behaviors,
health status and use, and quality of available services.
Population Healthcare Data Analytics and risk stratification
contribute to improved overall health outcomes, increasing patient
satisfaction and loyalty towards this digital technology. It
instantly discovers high-risk patients from a clinical perspective,
resulting in providing them with the best possible services. The
performance and feedback are measured and recorded in the patient's
data, and the benefits are tailoring accordingly. The ultimate goal
of population health data analytics is to improve patients'
healthcare quality while reducing cost. The Healthcare providers
are incentivizing to treat and provide as many patients as
possible; the payment for such is highly dependent on the service
and the following health outcomes. Source:
https://www.osplabs.com/population-health-analytics/ |
|---|
| THE IMPACT OF POPULATION HEALTH ANALYTICS ON THE QUALITY OF PATIENT SERVICES | Healthcare organizations worldwide with a large amount of patient
population are fast-growing. It depends on the tried and tested or
evidence-based theory to safeguard the patients' health and safety.
Back when the traditional principle was following called
"Fee-for-service," which only aimed at dealing with the patients'
sickness and not with health outcomes, leading to less attention
and engagement towards the patient's health. Many healthcare
providers highly use population healthcare management to improve
patients' health by tracking and monitoring the clinical and health
outcomes while estimating costs. The need for population health
analytics arises due to various challenges faced, such as
pharmaceutical costs, risk stratification, proper patient
identification, etc. The communication gap between doctors and the
patients was the central issue where the patients hesitated or did
not centralize an exact conversation with their healthcare
providers. It overcame all the challenges due to population health
solutions. It engaged more and more patients beyond the shorter
timeframes and helped identify high-risk patients via an easy
patient identification strategy. The healthcare industry has
initiated various population health management strategies that
provide positive health outcomes. The local population's data is
collected as a whole and later transformed into a single patient's
record depending on the patient's health status and the best
quality of services available for him/her. Proper patient
identification makes it easier to ensure the adequate delivery of
the patients' benefits, hence improving their health and safety.
After collecting data from the local population, they identify and
evaluate improvement opportunities based on care variation. Due to
this digital revolution, healthcare organizations have switched
from a fee-for-service model to a value-based model, which brings
about positive health outcomes. It optimizes care management
processes and products to support individuals across the continuum
of care. Conclusion: Population Health Analytics rewards healthcare
providers for promoting wellness and offering additional funding to
improve workflow and technology. These changes make it easier for
them to balance evidence-based practices and focus on preventative
care, improving care quality. Source:
https://www.osplabs.com/population-health-analytics |
|---|
Comparateur collaboratif
2021-02-19 11:14:52
/ GNU FDL
Plus de comparatifs
Commentaires
Pas de commentaires pour l'instant. Soyez le premier à donner votre avis.Laisser un commentaire
S'inscrire Se connecter