As a company focused on helping our healthcare clients implement and benefit from the adoption of Population Health Management (PHM) initiatives, we at PreAcute PHM, Inc. are very interested in the science of PHM (see our Homepage).
PHM is a healthcare management technique designed for organizations who strive to keep the health of a patient population in a “well” state as much as possible while improving the quality care indices and lowering the costs at the same time. It is an approach to proactive intervention rather than of keeping “non-complaining” or “silent member” patients aside until they become “unwell” enough to seek treatments for their “sickness”. But this “proactive”-ness can not occur passively. PHM is fundamentally an active process.
According to Ami Rakshit Ph. D., the founder & CEO of PreAcute PHM, Inc., the main ingredient that drives PHM initiatives to success, is data analysis. But such analysis is not just of instantaneous, “single occurrence” data. Rather it is an analysis of large amounts of data (“Big Data”) – also called “Data Analytics” or simply “analytics”, which by aggregation, can reliably reveal patterns of health, illness, treatments provided, quality of care as well as cost of care.
It involves collecting, scaling and normalizing patient data from multiple sources of clinical, demographic and financial information and then consolidating that information into unique Patient Records (such as, EHRs). It is based on these Patient Records that physicians and other care providers can make effective decisions for better care for the patients; better care often lowers the long term cost.
Population and financial data are often analyzed using well-established techniques of analyzing large volumes of data that have been perfected in other areas of research, such as for satellite control and management. These “Big Data” techniques are applied in the field of PHM to analyze and extract meaningful healthcare information from the Patient Records to successfully manage patient populations and achieve the aforementioned clinical and financial benefits.
Several commercial tools are available to perform these analyses. Please see a description of AnaVis™ Family of Predictive Models for an example of such a tool for clinical information analysis. Effective tools, such as the AnaVis™ Family of Predictive Models, through their analysis of the available data, offer useful insight into the health of the patients and track the organization’s expenses for managing the patients. The clinical insights allow the development of custom health management plans to improve the state of the health of the patients at minimized costs. Please see a description of EarlyManage™ Family of Patient Management Software for an example of a Care Management tool.
Often, PHM involves programs for self-management of their health by the patients. The general benefits of PHM may be listed as follows:
Prevention of escalation of chronic diseases: Chronic diseases are expensive to manage, and they often lower the quality of life of the sufferers. A good PHM improves the management of Chronic Diseases.
Improved Health Outcome: PHM improves health while lowering costs.
Cost Savings: As has been said above, PHM often lowers the cost care and providers receive that benefit.
Closing Care Gap: PHM help identify where there are gaps in clinical management, so the patient population receives uniform care across the board.
Contact Us at:
PreAcute PHM, Inc.
1275 Mission Street
San Francisco, CA 94103
Phone: (303) 217-1539