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1. Healthcare transformation
with next-gen clinical BI
Introduction
Today, the global healthcare industry faces a variety of challenges,
ranging from maintaining optimal clinical and operational efficiency,
reducing readmissions and ED wait times, improving revenue cycle
management, enhancing existing clinical workflows, clinical data
analytics, and deciding how to adapt to value-based care in the new era.
At the same time, global healthcare is transforming at a rapid pace due
to factors such as legislation, processing of reimbursements,
technological innovations and more. Multiple disciplines are seeing
innovation at an accelerated pace, from genomics to biotechnology,
robots to remote care, connected care to the internet of things, and the
integration of clinical data. These breakthroughs will have a considerable
impact and profound effect on patient care and health outcomes.
The universal need to attain a better operational workflow, improved
patient care, and reduced healthcare costs have elevated healthcare
providers, payers, and manufacturers attention to healthcare data
management and analysis. The digitization of electronic health records
(EHR) and clinical data, mobile, wearable technologies, and IoT devices
contributes to the massive amount of data being collected. This data is
spread across numerous platforms and multiple sources. In this regard,
business intelligence (BI) systems come into play to help manage and
integrate data, transforming it into actionable insights that can improve
patient care, reduce costs, and optimize service provision.
Business intelligence is a broad term used to refer to methods,
processes, infrastructure, applications, and technologies designed to

2. transform raw data into meaningful and valuable information that
optimizes decisions and improves business operations and growth.
Business intelligence itself is a reasonably new innovation, and the
framework for healthcare business intelligence is based on this same
concept; however, the data is gathered directly from patients and
derived from various sources. The purpose of healthcare BI differs slightly
from that of business intelligence. With healthcare business intelligence
and its insights, organizations can opt for different ways to decrease
costs, improve operations, and focus on improving patient care. The
healthcare BI has the potential to positively impact all the stakeholders,
including patients, physicians, clinical staff, employers, payers, and
providers, with insights and the ability to track key performance
indicators (KPIs) and patient outcomes.
The role of data in healthcare
transformation
A digital data trail follows us everywhere we go, and almost every major
global technology firm gathers, aggregates, and monetizes personal data
in exchange for free online services. The healthcare ecosystem is no
exception. This data-sharing model can be applied to medical discovery
or expanding treatments for rare-disease patients. Over the past few
years, digital health has skyrocketed as big data, artificial intelligence,
and other technologies have entered the market and gained traction. The
healthcare industry’s massive digital data and its diversity in format,
type, and context make it difficult to integrate healthcare data into
conventional databases, making it difficult to process. However,
leveraging appropriate business intelligence tools, data can be converted
to useful, actionable information, opening the door to remarkable
advancements and value-based healthcare while reducing costs.

3. Healthcare data analytics enables caregivers, administrators, hospitals
and other healthcare units to strategically move the core focus of their
organization from ‘volume of patients’ to ‘value provided to each patient’
while making better medical and financial decisions and delivering an
ever-increasing quality of patient care. Additionally, organizations using
healthcare data analytics platforms will be able to increase access,
improve care, and reduce operational costs while creating a positive
financial margin in a dynamic health economy. Furthermore, Business
intelligence tools will help better understand the patient experience,
environment, and lifestyle, particularly during clinical trials. A data-driven
approach to healthcare could increasingly determine whether to
accelerate or halt the development of new innovations.
Harnessing the Power of Data and clinical business intelligence
across Health Systems and Institutions for the transformation of the
healthcare sector
Healthcare oganisations evaluate themselves based on various Key
Performance Indicators (KPIs), such as patient satisfaction, staff-to-
patient ratio, and patient wait time. Healthcare BI solutions help
organizations realize the full potential of their healthcare business by
providing actionable insights based on the vast array of data from clinics,
specialists, hospitals, and insurance companies. Furthermore, healthcare
organizations can create reports and visualizations with BI tools using
data from patient surveys, questionnaires, electronic health records, and
other sources. Through business intelligence and its insights,
organizations can improve patient outcomes, enhance profits, and
improve the patient experience.
Let’s look at some of the Business Intelligence Use Cases for
Healthcare Organizations where business intelligence software can
add value and transform healthcare data analysis processes.
Clinical Research Support for cancer patients

4. Clinical trials assess the safety and effectiveness of new drugs, devices,
and procedures before they are approved for general use. However, the
path from design to approval is long, complicated, and costly. With the
ability to access all relevant data in real-time across all organizational
boundaries and integrate up-to-date information into research processes,
BI can benefit medical researchers and physicians to analyze clinical data
based on structured and unstructured information. Furthermore, BI can
create patient cohorts for clinical trials and quickly determine
Patient/Trial matching.
Deploy Evidence-Based Medicine (EBM)
Evidence-based medicine endeavors to apply the best available evidence
obtained through the scientific method to make better clinical decisions.
Furthermore, Evidence-based medicine involves gathering evidence of a
patient’s health and comparing the symptoms to a larger patient
database, enabling faster, more accurate, and more effective diagnosis
and treatment. Business intelligence tool helps consolidate and analyze
information stored in large patient databases generated from multiple,
disparate sources.
Conclusion
Business intelligence software is going to revolutionize healthcare data
analytics and the healthcare industry on many fronts. Healthcare
organizations can take advantage of the opportunities
that healthcare business intelligence tools offer in technology, medicine,
and finance to deliver better patient care and increase value. But to
achieve this, all stakeholders must work together and innovate –
including providers, payers, pharmaceutical producers, government and
policymakers, and scientific and research communities. By implementing
the right enterprise Business Intelligence solution, healthcare
organizations can improve the productivity and efficiency of departments

5. across a healthcare organization, including patient care, administration,
financial and labor. Additionally, it can assist healthcare providers in
making quick and critical decisions, driving collaboration between
departments, and enabling them to be more agile.
Suppose you plan to implement an enterprise Business Intelligence
solution in your healthcare organization. In that case, Sparity is one such
technological partner that provides comprehensive business intelligence
consulting services and assists healthcare providers to derive substantial
business value from clinical data for quality patient care.