Health Intelligence Solutions

Health intelligence is obtaining and analyzing healthcare data to improve clinical and administrative workflows at the hospital. Healthcare intelligence software solutions harness data to glean actionable insights later used for decision-making to improve the quality of care and other medical workflows. Healthcare organizations can use healthcare analytics software to enhance care management, patient engagement, revenue cycles, medical billing, claims submissions, etc.  

Let’s build your project

Explore Health Intelligence Software

Population health management consists of all the processes and activities involved in improving the medical outcomes for a targeted group of people. In light of leveraging OSP’s healthcare BI (Business Intelligence) services, managing the health of a select group of people involves assessing data about them, like their location, race, ethnicity, gender, and demographic information, to derive insights about their health situation.   

Such insight based on shared characteristics gives providers vital clues about addressing medical challenges unique to that part of the population. The application of healthcare BI software solutions on population health management has revealed who is more susceptible to certain diseases or which parts of the population are more vulnerable to epidemics. This helps public health experts address population health challenges.  

A hospital is not only about clinical activities but also administrative ones like medical billing, claims, appointment scheduling, health data management, insurance verification, etc. Using business intelligence analytics software to assess the data generated from all the administrative activities highlights the reasons for prevailing inefficiencies and also pinpoints the areas with room for improvement. This information enables senior hospital executives to make informed decisions about workflows to enhance productivity.  

OSP can build customized BI software solutions according to the needs of a healthcare organization to help streamline operations. Doing so is not only good for the revenues but also improves the quality of care in the long run since the efficiency in administration eventually trickles down to the level of treatments.    

Clinical operations at hospitals involve consultations, tests, scans, admissions, treatments, and surgeries. The efficiency of these operations ultimately determines the outcomes for patients and their overall experience at the hospital. The larger a hospital gets, the greater the volume of these operations. But the use of health intelligence software can analyze the data generated from these operations and reveal the pain points that lower productivity and efficiency.   

This insight enables administrators and providers to make appropriate changes to the processes and workflows to improve the efficacy of clinical activities. This ultimately goes a long way in improving the overall quality of care and patient medical outcomes.  

One of the biggest advantages of using health intelligence solutions is the ability to analyze large quantities of patients’ health information. Assessing current and historical medical information reveals if a person is more likely to contract a disease. This also applies to population health management, where public health experts can assess many parameters to determine which parts of the population are more susceptible to epidemics.  

Knowing who is more vulnerable to what disease is a predictive approach to care. This enables providers to respond during the early stages of a disease when it is less severe. Doing so achieves better outcomes for patients while keeping care costs relatively lower. In other words, predictive modeling powered by health intelligence is a win-win for everyone involved.    

A hospital is as much about running on profits as much as it is about clinical care. Like every for-profit corporation, a hospital needs steady revenue cycles to continue serving patients. In light of this, it needs competent management and decisive leadership. Using health intelligence solutions enables senior hospital executives to assess everyday operations and garner detailed reports about patient care, claims, reimbursements, payroll, overhead, and overall administration.   

Having analytical reports about activities facilitates informed decision-making, which goes on to streamline and optimize everything. In other words, the hospital enjoys steady revenues, and patients have a better experience.  

Processing claims is one of the most important operations at insurance payer organizations. Insurance companies would normally be processing several claims from numerous providers. While most claims get approved, there are bound to be some claims that get denied. Research has also estimated that fraudulent claims cost payers billions of dollars annually. The denied claims might be challenged, leading to more bureaucratic procedures.  

But using health intelligence software platforms automates major aspects of the claims adjudication. In other words, payers can process claims faster and better while preventing fraudulent ones from slipping by. As a result, there is greater efficiency and a higher productivity without increasing operating overhead.  


Since health intelligence solutions improve operational efficiency across the hospital, every aspect of day-to-day administration gets optimized. As a result, there is an improvement in patient management and coordination of clinical efforts. All of these factors eventually trickle down to an overall improvement in the quality of patient care. The patients also have a better experience with the hospital.

There is a definite pattern for the spread of all the epidemics. Factors like public hygiene, awareness, availability of medical help, government response, and public health policy decide the severity of an epidemic. Using a health intelligence platform analyses data about the spread of infection and symptoms and highlights the nature of the disease. This enables the government and public health experts to respond better and contain an epidemic.

The impact of diseases and treatments varies from person to person. While one person might recover from a disease in a few days with medication, the same medication might not be as effective on another person. Factors like age, genetic predisposition, lifestyle, health history, diet, and even family history of diseases might determine how a person responds to treatments. Health intelligence solutions enable physicians to identify such factors and vary their treatments according to the best outcomes.

Let’s build your project

Health Intelligence Analytics Software Development Services


Development of Health Intelligence Analysis Software For Hospitals

  • Intuitive visualization of data for better perspectives
  • Data aggregation of multiple sources 
  • Interoperability with EHR and other sources for better analysis
  • Simplified generation and sharing of detailed reports
  • Better management of chronic diseases

Health Intelligence Software For Public Health Assessment

  • Analysis of large volumes of patient data to gain insights into epidemics
  • Medical data analysis to identify correlations between race, ethnicity, and disease
  • Faster identification of outbreaks and better management of epidemics 
  • Predictive analysis of medical data for accurate diagnoses
  • Data-driven clinical decision support for better decision-making

Health Analytics Solutions For Improved Patient Care

  • Patient data assessment to identify high-risk patients
  • Centralized storage of health data
  • User authentication and access controls to ensure data privacy
  • Simplified sharing of data and insights with providers
  • Generation of detailed reports

Our Core Services

Solutions We Offer

What Our Client Said

Industry Industry Industry Industry Industry Industry Industry Industry Industry Industry

Case Studies

Let's Begin

Latest Talks


Everything You Should Know About Healthcare Revenue Cycle Analytics

Read More Hear

The Map of Healthcare Analytics Domains

Read More Hear

Predictive Analytics in Healthcare: Everything You Need To Know

Read More Hear

Everything you should know about Predictive Analytics in Claims Management

Read More Hear

Healthcare Payer Analytics: Making The Health Data Imperative To Boost ROI

Read More Hear

Healthcare Analytics Solutions: An Integral Part of the Medical Industry

Read More Hear

Frequently Asked Questions

Health intelligence analytics software is a platform to process medical information and obtain actionable insights. These insights help providers make informed decisions about patient care and improve the accuracy of diagnoses.  

A health intelligence platform is a software solution that can analyze health information and provide insights about what needs to be done. This can include the most optimum treatment for patients suffering from chronic diseases, who might be at higher risk of certain diseases, and so on. The intelligence drawn from this software helps doctors make better decisions about patient care.  

  • Descriptive Analysis  

This type of analysis uses historical and current data to predict the near future. Healthcare organizations most often use it.   

  • Predictive Analysis  

Predictive analysis is used to gauge the possible outcomes based on current strategies. It can also account for strategy changes to show different outcomes, accounting for various factors in a scenario.  

  • Prescriptive Analysis  

The prescriptive analysis is used in specific contexts to gain solutions based on previous data and insights. It offers a useful tool for healthcare providers to attain the best patient outcomes by highlighting the best course of medications or other treatments.  

  • Discovery Analytics  

This represents the most advanced form of analytics in healthcare. It uses multiple types of data from numerous sources to help discover new drugs, new diseases or identify certain disorders.  

Healthcare organizations often deal with large amounts of data regarding clinical and administrative processes. The clinical ones could include patient admissions, treatments, prescriptions, diagnoses, etc. The administrative processes include managing appointments and human resources, handling billing, overseeing inventory, managing claims, processing payments, financial management, etc.  

The bigger the organization gets, the more complicated its everyday administration becomes. In light of this, health intelligence solutions enable these organizations to sift through the vast volumes of data and garner useful insights. Some insights could include pain points in the claims workflows, reasons for denials, factors driving high costs, common reasons for readmissions, ways to optimize patient care, etc.  

These insights help organizations make better-informed decisions and serve all the stakeholders better while boosting productivity and operational efficiency.

  • Patient’s medical information for EHR  
  • Medication history  
  • Treatment history  
  • Previous test results  
  • Past diagnoses  
  • Medical scans  
  • Admissions history  
  • Billing and coding information  
  • Claims data  
  • Payer reimbursements  
  • Payment information  

Software for health intelligence analytics uses advanced algorithms that may or may not use artificial intelligence to assess data. The data is fed to the software under certain parameters to look for patterns like the most common cause of claim denials, common symptoms of a disease among a certain demographic, frequently denying payers, and so on.   

The data fed to the software could include discharge summaries, test results, reimbursements, payments, prescriptions, and demographic data. The algorithms spot any repetitions and connect the dots to form a picture. But the analysis is only as good as the data and the team of analysts using the health intelligence software. The analysts use certain criteria to prompt the software to spot useful patterns and harness insights from the patterns.

Large healthcare organizations have many departments that cooperate to provide patient care. The day-to-day operations include patient admissions, tests, scans, treatments, billing, coding, report generation, human resource management, inventory management, etc. Needless to point out, the overhead required to run this smoothly can grow significantly. That is why the need to optimize operations and boost productivity becomes important.   

Health intelligence solutions analyze all the data from the processes above and reveal useful patterns. These could include common causes of readmissions, activities driving up costs, reasons for claim denials, treatments with the most and least favorable outcomes, and reasons for poor patient feedback.   

By identifying the main reasons for inefficiencies, problems, and poor feedback, healthcare administrators can address those issues to avoid them in the future. As a result, the organization’s overall productivity improves to deliver long-term gains. This is how health intelligence analytics help to improve decision-making and planning.  

  • Compatibility with disparate data sources  
  • Visualizations and dashboards  
  • Data science tools  
  • Aggregated data analytics engine  
  • Data modeling tools  
  • Analytical functions  
  • Tools for data cleaning  
  • User-friendly interface  

A health intelligence solution can ensure data privacy and security through the following features –   

  • User authentication  
  • Audit logs  
  • Encryption  
  • Access controls  
  • Alerts in case of unauthorized activity or use of data  

The development team would meet with the clients to understand the requirements thoroughly. Subsequently, these needs are later accommodated into the development lifecycle of the health intelligence analytics software. Requirements analysis is one of the first steps toward building nearly every type of custom software. 

Schedule A Call