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.
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.
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