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.
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.
We’ve reached out and found companies like OSP to create our technology. This is my first time working with a company that has been so thorough. These guys are amazing. If you really are looking for someone for a technology solution, these guys are the real deal.-- Stephen Carter
We reached out to OSP to provide an estimate on a technology solution we were interested in developing. From the initial conversation, the team was professional, courteous, and thorough. We were able to make a quick decision to move forward with OSP because we were confident that our requirements were accurately captured and the development deliverables and associated costs were clear.
The OSP development team stayed on schedule and within budget throughout the build phase and provided weekly communications to keep our team informed along the way. If we require application development in the future, OSP will be the first call we make.-- Selita Jansen
We have worked closely with OSP for two years, meeting twice a week to work through development requirements, strategy, design, progress, and support. OSP has become an integral part of our business, and our mutual teams work together as one team. OSP tackles problems that arise with integrity and operate with respect for budgeting.-- Charlie Langdon
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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.
This type of analysis uses historical and current data to predict the near future. Healthcare organizations most often use it.
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.
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.
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.
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.
A health intelligence solution can ensure data privacy and security through the following features –
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.