Population health management is implementing steps to improve the health of a targeted group of people based on insights derived from their location, race, ethnicity, gender, or demographic data. Population health management software is a digital system that aggregates healthcare data from multiple sources to enable providers and public health experts to use it to improve the medical outcomes of the targeted people. Population health management solutions are used to study the health of many people fitting certain criteria and undertaking steps to improve it.
Most chronic diseases cannot be cured but are only managed with medication, diets, and a healthy lifestyle. They cost several billion dollars to the healthcare industry and require continual medical attention, unlike regular diseases that are cured with a finite round of treatments. OSP’s can design population health solutions to consolidate the health information of a large group of people and offer actionable insights to public health experts on the best course of treatment/management.
Since population health management analyzes the health data of many people, it enables doctors to identify individuals at higher risk of disease. Using a population health management platform that we can build enables providers and population health experts to identify people more likely to contract certain diseases and undertake preventive measures. This approach benefits the patients, providers, and payers regarding the cost of care.
OSP can design a custom population health management system to offer valuable and actionable insights into the health situation of a large number of people. This insight enables providers to identify patterns and correlations that cost-effectively highlight the best approach to treatments. Additionally, our population health management solution empowers providers to take a preventive approach to care instead of a reactive one. This goes on to reduce healthcare costs.
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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
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Population health management comprises all the activities and processes involved in improving the medical outcomes for a targeted group of people through various data-driven techniques. It involves the analysis of data obtained from multiple sources to identify care gaps and act upon those to implement better care models.
A good example of population health management would be the medical community’s efforts during the recent Covid-19 pandemic. Doctors around the globe were accumulating clinical data on people infected with the coronavirus. All the patient’s symptoms, timelines, bloodwork, vitals, medical histories, and other demographic information was analyzed in depth to identify the nature of the disease and formulate measures to contain the spread of the virus.
The accumulated data is also known to have helped accelerate the discovery of the vaccine, which played a major role in saving lives. This is one of the most well-known examples of population health management.
This is the main purpose of population health management. The whole idea of obtaining clinical and demographic data of patients is to identify if some groups of people are more vulnerable or face greater risk. Subsequently, the insights derived from this are used to formulate clinical interventions for improving population health, controlling epidemics, and supporting research.
Patient experience is a vital part of the whole healthcare journey. It indicates how the patients feel about the provider and the care and if they are likely ever to visit the provider again. Population health management analyzes the care journey and identifies gaps that need to be filled for improved patient experience.
The growing costs of care are a major concern in the United States. The more it grows, the harder it will get for people to access care. One of the most important goals of population health management is identifying the major causes of growing costs and addressing the problem, which will enable more people to access care in the long run.
Medical Outcomes: This indicates patients’ recovery level after undergoing treatment for a disease. It is a major indicator of the quality of care provided.
Patterns of Health Determinants: Several factors, like family history, diet, lifestyle, genetic predisposition, nature of the job, and housing, are determinants of a person’s health. The spread of certain diseases has been directly linked to these determinants, which shed light on how best to prevent or treat them. The patterns derived from people who suffer from diseases and their determinants enable clinicians to make informed treatment decisions.
Policies and Interventions: This refers to the government’s protocols and rules after comprehensive data-driven research into population health management. Policies and interventions outline methods in which positive medical outcomes and better determinants of health need to be achieved. It helps providers formulate strategies to tackle widespread diseases and treat patients suffering from them, not to mention educating them to live healthier lives and avoid contracting the disease.
Population health management tools enable clinicians to accumulate medical data to generate a complete picture of a patient’s health. The information and insights from these tools help doctors understand the causes of disease, the spread, and better ways to treat and contain them. Moreover, by understanding how certain people contract diseases, doctors are better able to treat them.
Population health management software is a digital platform that enables medical professionals to aggregate clinical information about patients and analyzes the same for insights. Analysis of this data would highlight patterns about the nature of diseases, how they spread, who might be more vulnerable, symptoms, and so forth. This broadens the understanding of the diseases studied and enables clinicians to formulate ways to treat and prevent them effectively. Knowledge of disease helps protect the population against it.
1. Identify the Population
The first step towards population health management is identifying the target population whose health needs to be studied. This could include all the people in a geographic area, people of a certain ethnic group or gender, or individuals involved in a certain profession that makes them follow a lifestyle. By categorizing a set of people into a group, experts can then begin observing the health metrics of that group to improve their medical outcomes.
2. Formulate a Continuum of Care
It is important to provide care services to the target population that encompasses everything from diagnosis, treatment, post-treatment care, and analysis. The care provided must be data-driven and include all the insights derived from analyzing the clinical information of the people in the group. Doing so helps physicians identify who might be at higher risk, the impact of the disease on the group, and the outcomes derived from the treatment.
3. Formulate Payment Modes
Payments are one of the biggest factors affecting the level of care available in the United States. Clinicians must shift towards value-based care that rewards medical outcomes instead of the number of services provided. In the absence of such a payment system, a significant part of the population won’twon’t have access to the care needed.
4. Utilize the Insights
The continuum of care provided to the targeted population will hold insights about why some people are more likely to contract a disease, how best to prevent it, viable treatments, and so on. The goal of population health management is to understand diseases better and how they affect the population or parts of it. This knowledge will help clinicians treat patients better.
Population health management is improving the medical outcomes of a select group of people using care models derived through data-driven methods. Population health management enables medical researchers as well as providers to understand diseases and their impact in a more nuanced way. Regarding medical care, several factors determine the varying outcomes for different people. These factors include income, lifestyle, diet, food, jobs, ethnicity, gender, family history, and even location of residence. By analyzing these factors against diseases and medical outcomes, clinicians can obtain important insights into how the healthcare system neglects some people and other systemic inequities which need to be addressed.
Taking such a data-driven analytical approach helps medical researchers know why some parts of the population suffer more fatalities from a disease or why others don’tdon’t suffer as much as others. The factors mentioned above play a major role in determining long-term health, access to care, and overall clinical outcomes for parts of the population. This then highlights the gaps in the healthcare system and how they came to be.
Subsequently, the insights garnered from population health management will help policymakers and doctors address inadequacies and ensure that underserved people get the care they need.