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Enhancing the Abilities of Healthcare SectorHealth 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.
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.
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
Yes, I would certainly recommend their services because they were diligent and the offered price was very reasonable which is a challenge these days to get a great product at excellent pricing.
-- Bert Lurch
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We developed a website for efficient senior care and which connects doctors, patients, and families of patients.
We built a custom medical billing, credentialing, practice management suite.
OSP developed a web-based application to streamline the process of diagnosing diabetic retinopathy.
We built a technology solution to address the shortage of Maternal Fetal Medicine experts.
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.
