Looking to improve healthcare outcomes with accurate insights from patient data? Healthcare & Life Science analytics can help you uncover all hidden insights. Our analytics services for healthcare will assist you get accurate insights from patient data quickly.
Get in touchHealthcare analytics involves data analysis techniques to gain insights into healthcare processes.
At Phygital Insights, we map the practical value of these bleeding-edge advancements in healthcare to the wealth of knowledge available in databases and discern how relevant information can be mined from the ocean of data.
We assist you optimize your business performance with the following Healthcare & Life Science Analytics services:
Analyze clinical data to understand disease patterns and treatment outcomes for better patient experiences and continued innovation.
Improve the efficiency, cost-effectiveness, and quality of supply chains by optimizing inventory levels, forecasting demands, etc.
Identify patterns to spot frauds, assess potential risks, and take proactive measures to mitigate them, including complying with HIPAA, FDA, and other regulations.
Understand customer behavior, identify market trends, customer preferences, and optimize sales strategies to make data-driven decisions and stay competitive.
Enhance the health outcome of an area by analyzing health data, such as electronic health records, to identify patterns, trends, and risk factors.
Analyze and interpret data from different clinical trials to support drug development, evaluate the safety and effectiveness of new drugs and their regulatory approvals.
Analyze vast amounts of data such as genetic information, medical history, and others to identify patterns for enhanced treatment outcomes and minimize healthcare costs.
Get a more comprehensive understanding of the patient population and treatment outcomes by identifying patterns and trends in patient data.
Assess the effectiveness, safety, quality, and significance of healthcare interventions and services by exploring their impact on patient outcomes, clinical practices, and healthcare systems.
Improved patient outcomes through deeper insights into patient data
Increased operational efficiency by streamlining the treatment process
Enhanced decision-making with actionable insights from patient data
Improved drug development and clinical trials for better patient outcomes
Enhanced risk management through immediate threat identification
improved patient experience and increased satisfaction
Better informed decision-making across all areas of their operations
Here are a few reasons businesses should consider outsourcing to us:
Our team consists of expert healthcare data analysts and data engineers with knowledge of data management, statistical analysis, and domain-specific knowledge of the healthcare industry.
We leverage big data and advanced analytics techniques to identify patterns related to healthcare treatment issues and tailor optimized solutions with data-driven insights.
We use encryption and other security protocols to protect sensitive data, including patient health records, clinical trial data, etc., and also deploy access control at the user and application levels.
Our experts make use of state-of-the-art healthcare analytics technology to analyze data for new treatments, better patient outcomes, minimized healthcare costs, and others.
We assist you make use of data-driven insights to cut down on wasteful expenses and long and complicated trial- and- error processes for greater cost and time savings.
Our experts help you analyze patient data and identify personalized treatment plans based on patient characteristics such as medical history, genetics which leads to enhanced patient outcomes.
we have delivered healthcare and life science analytics services to businesses like:
CPG
Healthcare
E-Commerce
Logistics
Banking and financial services
Manufacturing
Insurance
Engineering Services
Healthcare analytics is a powerful tool that can be used in many ways within a healthcare organization. Some of the most common ways healthcare analytics is used include
Healthcare analytics can improve patient care by providing organizations with data-driven insights that inform clinical decision-making, support population health management, and drive quality improvement. Some specific ways healthcare analytics can improve patient care include
Life science analytics is a branch of data analysis that focuses on analyzing and interpreting large amounts of biological, medical, and genetic data to gain insights into various aspects of human health, disease, and biology. Life science analytics aims to facilitate the discovery of new knowledge, develop new treatments, and improve public health outcomes. This field utilizes advanced computational and statistical methods to process and extract meaningful information from complex data sets generated from clinical trials, genomic sequencing, and electronic medical records.
Big data in life sciences refers to the large and complex sets of data generated by various sources of genomic sequencing, medical imaging, electronic health records, and wearable devices, among others. This data is used to advance research in personalized medicine, drug development, disease diagnosis, and treatment. By analyzing this big data, researchers can gain insights into complex biological processes, identify new therapeutic targets, and improve patient outcomes.
The future of data analytics in healthcare is promising and holds great potential to improve patient outcomes and healthcare delivery. With advancements in technology, big data, and cloud computing, healthcare organizations can store, process and analyze vast amounts of data to gain valuable insights. This data can be used to predict patient outcomes, improve clinical decision-making, and optimize resource utilization. Additionally, machine learning and AI algorithms can be used to analyze complex medical data to support personalized medicine, enhance drug development, and drive improved health outcomes. In conclusion, data analytics will transform healthcare into a more data-driven, efficient, and patient-centered industry.
The most common type of data used in healthcare is electronic health records (EHR) data, followed by imaging data (such as X-rays, MRIs, and CT scans) and claims data (from insurance providers). Other types of data commonly used in healthcare include laboratory results, patient-generated data, and genomics data.
Working with the Phygital data engineering team has been a game-changer for our company. They helped us identify our data ingestion problems and implemented a centralized system to tackle them. We highly recommend their services.
Karen
Technical Product Manager US-based Company
We needed support to help grow our retail business with data-driven recommendations. We found it in Phygital Insights’ Data Analytics Services. They studied our data, uncovered hidden patterns, and enabled us to anchor decisions on data-driven insights. Don’t look beyond Phygital for all your data needs.
Sarah
Product Manager, US-based Retail Firm
We were struggling to increase our combined yield for all processes. After several futile efforts, we turned to Phygital. Their end-to-end analysis helped us identify hidden bottlenecks in the production line. We plugged them in to cut down on wastage and improve overall efficiency. Their service was indeed a game-changer.
Jessica
Senior Operations Manager, US-based Manufacturing Company
We specialize in a range of Data Science services.
Our other offerings include: