{"id":14471,"date":"2022-07-04T09:32:20","date_gmt":"2022-07-04T09:32:20","guid":{"rendered":"https:\/\/kanini.com\/?p=14471"},"modified":"2023-05-18T03:56:53","modified_gmt":"2023-05-18T03:56:53","slug":"predictive-analytics-in-healthcare-2","status":"publish","type":"post","link":"http:\/\/kanini.com\/blog\/ai\/predictive-analytics-in-healthcare\/","title":{"rendered":"Predictive Analytics in Healthcare"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"14471\" class=\"elementor elementor-14471\" data-elementor-post-type=\"post\">\n\t\t\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-39af745 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"39af745\" data-element_type=\"section\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-b00ea8c\" data-id=\"b00ea8c\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-5b4f15d elementor-widget elementor-widget-text-editor\" data-id=\"5b4f15d\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.20.0 - 10-04-2024 *\/\n.elementor-widget-text-editor.elementor-drop-cap-view-stacked .elementor-drop-cap{background-color:#69727d;color:#fff}.elementor-widget-text-editor.elementor-drop-cap-view-framed .elementor-drop-cap{color:#69727d;border:3px solid;background-color:transparent}.elementor-widget-text-editor:not(.elementor-drop-cap-view-default) .elementor-drop-cap{margin-top:8px}.elementor-widget-text-editor:not(.elementor-drop-cap-view-default) .elementor-drop-cap-letter{width:1em;height:1em}.elementor-widget-text-editor .elementor-drop-cap{float:left;text-align:center;line-height:1;font-size:50px}.elementor-widget-text-editor .elementor-drop-cap-letter{display:inline-block}<\/style>\t\t\t\tHealthcare is inherently a data-rich sector, and can, therefore, gain a lot from leveraging\u00a0<a href=\"https:\/\/kanini.com\/data-analytics\/\">data analytics<\/a>. The shift in the US healthcare industry to value-based care offers the right impetus to adopt data analytics. Healthcare providers and institutions are already using novel technologies that are aiding them to accelerate the operations, make better decisions, and, ultimately, deliver an enhanced experience to patients.\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-aae5b2e elementor-widget elementor-widget-text-editor\" data-id=\"aae5b2e\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\tNow predictive analytics tools are used to make decisions that help improve patient outcomes, increase operational efficiency, and reduce spend. All in all, the spectrum of benefits of applying predictive analytics to healthcare covers everyone: Providers, Patients, Payers, and product manufacturers. The ability to save lives leveraging Predictive analytics algorithms is a huge leap forward to mankind\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-ca5eb49 elementor-widget elementor-widget-text-editor\" data-id=\"ca5eb49\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\tIn this article, we delve on a few use cases of predictive analytics leveraged in healthcare\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-03a31f7 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"03a31f7\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-0efc508\" data-id=\"0efc508\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-1a8f890 elementor-widget elementor-widget-heading\" data-id=\"1a8f890\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.20.0 - 10-04-2024 *\/\n.elementor-heading-title{padding:0;margin:0;line-height:1}.elementor-widget-heading .elementor-heading-title[class*=elementor-size-]>a{color:inherit;font-size:inherit;line-height:inherit}.elementor-widget-heading .elementor-heading-title.elementor-size-small{font-size:15px}.elementor-widget-heading .elementor-heading-title.elementor-size-medium{font-size:19px}.elementor-widget-heading .elementor-heading-title.elementor-size-large{font-size:29px}.elementor-widget-heading .elementor-heading-title.elementor-size-xl{font-size:39px}.elementor-widget-heading .elementor-heading-title.elementor-size-xxl{font-size:59px}<\/style><h6 class=\"elementor-heading-title elementor-size-default\">Effective personal medicine<\/h6>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-780066e elementor-widget elementor-widget-text-editor\" data-id=\"780066e\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\tPredictive analytics allows to find cures for particular diseases. This stands true even for diseases unknown at the time. Predictive analytics allows healthcare organizations to introduce precise modeling for mortality rates for individuals. And this is just the tip of the iceberg!\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-cc44c15 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"cc44c15\" data-element_type=\"section\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-top-column elementor-element elementor-element-0e8185e\" data-id=\"0e8185e\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-d26e3c2 elementor-widget elementor-widget-image\" data-id=\"d26e3c2\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.20.0 - 10-04-2024 *\/\n.elementor-widget-image{text-align:center}.elementor-widget-image a{display:inline-block}.elementor-widget-image a img[src$=\".svg\"]{width:48px}.elementor-widget-image img{vertical-align:middle;display:inline-block}<\/style>\t\t\t\t\t\t\t\t\t\t<img fetchpriority=\"high\" decoding=\"async\" width=\"1000\" height=\"607\" src=\"https:\/\/kanini.com\/wp-content\/uploads\/2020\/07\/kanini-patients-data-1.jpg\" class=\"attachment-full size-full wp-image-4424\" alt=\"\" srcset=\"https:\/\/kanini.com\/wp-content\/uploads\/2020\/07\/kanini-patients-data-1.jpg 1000w, https:\/\/kanini.com\/wp-content\/uploads\/2020\/07\/kanini-patients-data-1-300x182.jpg 300w, https:\/\/kanini.com\/wp-content\/uploads\/2020\/07\/kanini-patients-data-1-768x466.jpg 768w\" sizes=\"(max-width: 1000px) 100vw, 1000px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-top-column elementor-element elementor-element-43ff373\" data-id=\"43ff373\" data-element_type=\"column\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-25f5dfa elementor-widget elementor-widget-text-editor\" data-id=\"25f5dfa\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\tIt is known for long that certain medicines work better for some groups of people, but not necessarily others. The reason for that is that human bodies are complex, and still, a lot is unknown about it. It\u2019s not practically feasible, nor possible, for a single, or a few, healthcare providers to analyze all of the detailed data\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-99e972d elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"99e972d\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-7997b53\" data-id=\"7997b53\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-86f278c elementor-widget elementor-widget-text-editor\" data-id=\"86f278c\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\tBut predictive analytics can come in handy. It can discover correlations and patterns when studying huge data sets and then offer insightful predictions. Clearly, such an approach will allow caregivers to come up with the best treatment option for the use case at hand.\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-4e3662c elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"4e3662c\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-757f8ce\" data-id=\"757f8ce\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-60ea54f elementor-widget elementor-widget-heading\" data-id=\"60ea54f\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h6 class=\"elementor-heading-title elementor-size-default\">Patient Wellness and Prevention of Chronic Diseases<\/h6>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-d56ee9d elementor-widget elementor-widget-text-editor\" data-id=\"d56ee9d\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\tThere\u2019s a reason that prediction and prevention go hand in hand; especially in case of healthcare. There is a wealth of data that is generated from devices like Fitbit, Apple Watch, etc. Combining this data with health data of the patient, diagnostics from labs, etc; institutions can use predictive analytics tools to identify individuals who are at higher risks of developing chronic conditions earlier in the disease progression. In doing so, the patients can be kept at a lower risk of developing serious long-term problems\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-2a18356 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"2a18356\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-dbf4213\" data-id=\"dbf4213\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-f38a577 elementor-widget elementor-widget-heading\" data-id=\"f38a577\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h6 class=\"elementor-heading-title elementor-size-default\">\nAccounts Receivable and Denials Management in Revenue Cycle Management\n<\/h6>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-e158162 elementor-widget elementor-widget-text-editor\" data-id=\"e158162\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\tProviders leverage RCM providers for AR and Denials Management and there is a high percentage of cases that still get into the Denials Management queue. Ability to predict these as a Patient schedules an appointment will allow Providers to take additional precautions for some of these cases.\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-8dcdc11 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"8dcdc11\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-top-column elementor-element elementor-element-8727c80\" data-id=\"8727c80\" data-element_type=\"column\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-39b4f0f elementor-widget elementor-widget-heading\" data-id=\"39b4f0f\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h6 class=\"elementor-heading-title elementor-size-default\">\nControlling patient deterioration<\/h6>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-9ff4d21 elementor-widget elementor-widget-text-editor\" data-id=\"9ff4d21\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"wpb_text_column wpb_content_element \"><div class=\"wpb_wrapper\"><p>During their stay at the hospital, patients face various threats, including the development of sepsis, acquisition of infection, or sudden downturn due to the existing clinical conditions.<\/p><p>Equipped with predictive analytics, doctors can figure out possible deterioration based on the changes in a patient\u2019s vitals. Most importantly, they can do that before the symptoms clearly manifest themselves.<\/p><\/div><\/div>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-top-column elementor-element elementor-element-5f90d73\" data-id=\"5f90d73\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-ce06b1a elementor-widget elementor-widget-image\" data-id=\"ce06b1a\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" width=\"1000\" height=\"607\" src=\"https:\/\/kanini.com\/wp-content\/uploads\/2020\/07\/kanini-controling-patient-details.jpg\" class=\"attachment-full size-full wp-image-2069\" alt=\"\" srcset=\"https:\/\/kanini.com\/wp-content\/uploads\/2020\/07\/kanini-controling-patient-details.jpg 1000w, https:\/\/kanini.com\/wp-content\/uploads\/2020\/07\/kanini-controling-patient-details-300x182.jpg 300w, https:\/\/kanini.com\/wp-content\/uploads\/2020\/07\/kanini-controling-patient-details-768x466.jpg 768w\" sizes=\"(max-width: 1000px) 100vw, 1000px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-7345d45 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"7345d45\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-40b9fd2\" data-id=\"40b9fd2\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-a171e92 elementor-widget elementor-widget-text-editor\" data-id=\"a171e92\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\tMachine learning has proven to be extremely efficient in predicting clinical events at the hospital. For instance, at\u00a0<a href=\"https:\/\/www.healthcareitnews.com\/sponsored-content\/penn-signals-big-data-analytics-helps-penn-medicine-improve-patient-care-0\" target=\"_blank\" rel=\"noopener noreferrer\">the University of Pennsylvania<\/a>, doctors leverage a predictive analytics tool to identify patients who might fall victim to severe sepsis or septic shock 12 hours before the onset of the condition.\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-eb380fa elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"eb380fa\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-00fbb2f\" data-id=\"00fbb2f\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-af01034 elementor-widget elementor-widget-heading\" data-id=\"af01034\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h6 class=\"elementor-heading-title elementor-size-default\">\nPotential in precision medicine<\/h6>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-85b1c2d elementor-widget elementor-widget-text-editor\" data-id=\"85b1c2d\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"wpb_text_column wpb_content_element \"><div class=\"wpb_wrapper\"><p>Evidently, healthcare institutions have access to heaps of data that can be used to uncover patients who have had similar responses to specific medications.<\/p><p>Only machine learning-based analytics can help uncover such insights, because the data sets we\u2019re talking about are really huge, and include a lot of cluttered, unstructured data, including age, gender, location, and other relevant healthcare data.<\/p><p>Predictive analytics can, therefore, lead to improved precision medicine outcomes and make it easier for doctors to customize medical treatments, practices, and products to the use case at hand.<\/p><\/div><\/div>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-55e98f0 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"55e98f0\" data-element_type=\"section\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-6b42d6d\" data-id=\"6b42d6d\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-5c4804c elementor-widget elementor-widget-heading\" data-id=\"5c4804c\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h6 class=\"elementor-heading-title elementor-size-default\">Cost reductions from eliminating waste and fraud\n<\/h6>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-410890e elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"410890e\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-top-column elementor-element elementor-element-86e3bda\" data-id=\"86e3bda\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-3cb34b7 elementor-widget elementor-widget-image\" data-id=\"3cb34b7\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" width=\"1000\" height=\"607\" src=\"https:\/\/kanini.com\/wp-content\/uploads\/2020\/07\/kanini-cost-reduction.jpg\" class=\"attachment-full size-full wp-image-2070\" alt=\"\" srcset=\"https:\/\/kanini.com\/wp-content\/uploads\/2020\/07\/kanini-cost-reduction.jpg 1000w, https:\/\/kanini.com\/wp-content\/uploads\/2020\/07\/kanini-cost-reduction-300x182.jpg 300w, https:\/\/kanini.com\/wp-content\/uploads\/2020\/07\/kanini-cost-reduction-768x466.jpg 768w\" sizes=\"(max-width: 1000px) 100vw, 1000px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-top-column elementor-element elementor-element-87274e9\" data-id=\"87274e9\" data-element_type=\"column\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-021ee5a elementor-widget elementor-widget-text-editor\" data-id=\"021ee5a\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"wpb_text_column wpb_content_element \"><div class=\"wpb_wrapper\"><p>According to a NCSL podcast released in Dec 2017, healthcare fraud costs insurers anywhere between $70 billion to $234 billion each year.<\/p><p>By analyzing the heaps of patient data, payers are building or have built predictive models to prevent insurance fraud before payouts. This could include duplicate claims, doctors prescribing high rates of tests, or medically unnecessary treatments.<\/p><\/div><\/div>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-99fbf05 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"99fbf05\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-d54c36c\" data-id=\"d54c36c\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-186736a elementor-widget elementor-widget-text-editor\" data-id=\"186736a\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\tFor the short-term, the increase in number of cases for Covid-19 is another clear use case of the need for prioritization. Organizations have the opportunity to admit patients and offer treatment based on prediction algorithms leveraging symptoms and patient medical conditions.\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-afed196 elementor-widget elementor-widget-text-editor\" data-id=\"afed196\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\tFor the long term,\u00a0<a href=\"https:\/\/kanini.com\/data-analytics\/\">Analytics<\/a>\u00a0is a key aspect in most Healthcare systems and an increasing number of organizations are implementing Artificial Intelligence and Machine Learning-based tools to use the data and predict trends.\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>Healthcare is inherently a data-rich sector, and can, therefore, gain a lot from leveraging&nbsp;data analytics. The shift in the US healthcare industry to value-based care offers the right impetus to adopt data analytics. Healthcare providers and institutions are already using novel technologies that are aiding them to accelerate the operations, make better decisions, and, ultimately, [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":7360,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"content-type":"","footnotes":""},"categories":[20,69],"tags":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v20.12 (Yoast SEO v22.4) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Predictive Analytics in Healthcare - KANINI<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"http:\/\/kanini.com\/blog\/ai\/predictive-analytics-in-healthcare\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Predictive Analytics in Healthcare\" \/>\n<meta property=\"og:description\" content=\"Healthcare is inherently a data-rich sector, and can, therefore, gain a lot from leveraging&nbsp;data analytics. 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