Uploaded by Sanjana Narkar

Population Health Analytics

advertisement
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. Tan exactly overcame all
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 to promote wellness
and offer 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.
Download