Data analytics involves the use of various techniques to analyze and interpret large amounts of data to uncover patterns and insights. In healthcare, data analytics can be used improve the delivery of patient care, predict disease outbreaks, and develop personalized treatment plans.

1. Revolutionizing Patient Care:
The Power of Data Analytics in
Smart Healthcare

2. Data analytics involves the use of various techniques to
analyze and interpret large amounts of data to uncover
patterns and insights. In healthcare, data analytics can be
used improve the delivery of patient care, predict disease
outbreaks, and develop personalized treatment plans.
Improving patient outcomes is a primary goal of healthcare
providers, and the use of data analytics has become
increasingly important in achieving this goal. Read on for
more information on how Data Analytics is impacting the
healthcare industry!
What is Data Analytics?

3. “Healthcare decisions are essentially founded through data, especially clinical decisions, but the evolving
technology also dictates how to transform the processes to the next level, and that focuses primarily on the
breaking of the siloes that have been prevalent in their manual processes,”
“Since the transformations are ongoing and patterned from other more developed use cases all over the world,
the progress for Southeast Asia will be promising, as the learnings from initial data and digital transformations
have already been incorporated.”
- The Medical City’s Head of Health Informatics and Technology, Nelson Tiongson
Healthcare and patient analytics are becoming increasingly commonplace
and essential in Southeast Asian countries.
Here are some of the benefits they provide!
Facts!

4. By analyzing patient data, healthcare
providers can identify patients or
demographics that are at a higher risk of
adverse health events such as hospital
readmissions, medication errors, and
infections. This enables providers to
intervene early.
Identifyinghigh-riskpatients Personalizingtreatmentplans Improvingpatientsafety
Data analytics can help providers
develop personalized treatment plans
based on patient-specific data such as
medical history, genetics, and lifestyle
factors. This can lead to better long-
term outcomes.
By analyzing data on adverse events,
healthcare providers can identify areas
for improvement in patient safety and
take steps to prevent similar events from
occurring in the future.

5. Analyzing data from healthcare
operations such as patient flow, staffing,
and resource utilization can help providers
identify areas for improvement and
optimize operations to provide better care
to patients.
Improvinghealthcareoperations Predictingdiseaseoutbreaks Conductingresearch
Data analytics can be used to predict
disease outbreaks by analyzing data on
symptoms, patient demographics, and
environmental factors. This enables
providers to take proactive measures in
preventing the spread of disease.
Data analytics can be used to analyze
large amounts of data from clinical trials
and other research studies, leading to
new insights and discoveries in
healthcare.