{"id":2174,"date":"2019-08-08T21:36:23","date_gmt":"2019-08-08T21:36:23","guid":{"rendered":"http:\/\/orionhealth-blog.local\/?p=2174"},"modified":"2025-03-28T01:19:31","modified_gmt":"2025-03-28T01:19:31","slug":"expanding-the-electronic-health-record-to-enable-predictive-medicine","status":"publish","type":"post","link":"https:\/\/orionhealth.com\/global\/blog\/expanding-the-electronic-health-record-to-enable-predictive-medicine\/","title":{"rendered":"Expanding the electronic health record to enable predictive medicine"},"content":{"rendered":"\n<p class=\"wp-block-paragraph\"><em>This is the second blog in our latest series on the <\/em><a href=\"https:\/\/orionhealth.com\/blog\/4-ps-of-medicine-the-changing-healthcare-landscape\/\"><em>4 Ps of Medicine<\/em><\/a><em>, focusing on the power of predictive medicine.<\/em><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Imagine if you could predict a health issue before it became a problem.\nThe way healthcare currently works means when a person develops a health issue,\nthey see a doctor and are treated for their symptoms, costing the health system\nand the patient time, money and resources. What if we had already predicted\nthat person is at high risk of developing that condition, put in place\npreventative measures and put them on a path to a positive outcome before they\nneed costly treatment?<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Predictive medicine is the branch of precision medicine that evaluates\nthe probability of an individual to develop a disease in the future. The goal\nis to detect those patients at risk of developing a condition, and adopt preventative\nmeasures or significantly reduce the impact of the disease. <\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Let\u2019s walk through the example of Phenylketonuria (PKU)<a href=\"https:\/\/www.mayoclinic.org\/diseases-conditions\/phenylketonuria\/symptoms-causes\/syc-20376302\" target=\"_blank\" rel=\"noreferrer noopener nofollow\"><sup>[1]<\/sup><\/a>, a rare inherited condition that increases the level of phenylalanine in the blood. A mutation in the gene responsible for breaking down this amino acid, causes a dangerous build-up of it, leading to serious health problems, including intellectual disabilities<a href=\"https:\/\/ghr.nlm.nih.gov\/condition\/phenylketonuria\" target=\"_blank\" rel=\"noreferrer noopener nofollow\"><sup>[2]<\/sup><\/a>. Newborns can be tested for PKU (not necessarily via a genetic test) and when assessed at high risk, they can follow a diet low in phenylalanine (usually found in protein, aspartame and artificial sweetener) to prevent the emergence of major health issues.&nbsp; &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">There are different approaches to predictive medicine, reasoning on a\nvariety of data. Even when evaluating the susceptibility to diseases, these\nmethods are not able to predict with certainty that a specific health issue\nwill occur. They are expected to be more effective though, when they make use\nof genetic data, for instance when applied to polygenic multifactorial\ndiseases, such as diabetes mellitus, hypertension and myocardial infarction, or\neven better single-gene diseases, like cystic fibrosis.&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; &nbsp;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">With technological advancements and the increasing variety of data that can\nbe collected, health solutions can enable predictive medicine by integrating\nprediction tools that can identify individual risk for a number of health\nissues. By doing so, the health platform can contribute towards the paradigm shift\nof precision medicine. <\/p>\n\n\n\n<h2 class=\"wp-block-heading\">How can such an integration be\nsuccessful?<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">First of all, a health solution needs to support the contribution of data from a variety of settings, with particular attention to those data sources that can generate genomic data. Careful integration from data contributors such as EMRs, laboratory systems or other hospitals is crucial, as well as the appropriate modelling of brand-new data that can expand the current electronic medical record. Genomic data, for example, would require the definition of appropriate information modelling in case it would not fit the traditional observation profile. <\/p>\n\n\n\n<p class=\"wp-block-paragraph\">HIT vendors should lead meaningful and exciting collaboration with\nbiotechnology companies, laboratory systems and existing governance bodies to\ndetermine the standard formats and protocol to share this new type of\ninformation. <\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The involvement of patients and providers should not be neglected, and\nthe appropriate presentation of these predictions is fundamental. Communicating\nrisk scores and prognostic model results can have a different impact on people,\nsome might overreact, while others might overlook them. The choice of relevant\nprediction tools, that make sense locally for the population (see the example\nof <a href=\"https:\/\/www.nzrisk.com\/\">nzRISK<\/a>), together with corresponding\neducation and training material will help ensure effectiveness. The health\nsolution needs to be flexible enough to offer integration with the variety of\nrisk scores and the related documentation to interpret the results.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Finally, the ability\nto automatically generate predictions based on the clinical records that are\navailable has to be enabled. Calculations can be executed asynchronously as\nmore details are fed into the system. In fact, health networks&nbsp;might already share\nall data points that predictive methods require, the next step is to select and\ncombine them to predict different risks. The result of such calculations should\nbe kept as new pieces of information to look back on, to trend and to action\nagainst.&nbsp; &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;<\/p>\n\n\n\n<div class=\"wp-block-button\"><a class=\"wp-block-button__link wp-element-button\" href=\"https:\/\/orionhealth.com\/contact\/\">Contact our experts<\/a><\/div>\n","protected":false},"excerpt":{"rendered":"<p>This is the second blog in our latest series on the 4 Ps of Medicine, focusing on the power of predictive medicine. Imagine if you could predict a health issue before it became a problem. The way healthcare currently works means when a person develops a health issue, they see a doctor and are treated [&hellip;]<\/p>\n","protected":false},"author":6,"featured_media":2892,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"content-type":"","footnotes":""},"categories":[1],"tags":[],"region":[23],"class_list":["post-2174","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-blog","region-global"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.6 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Expanding the electronic health record to enable predictive medicine - Orion Health<\/title>\n<meta name=\"description\" content=\"Technology can enable predictive medicine by integrating a variety of data with prediction tools that can identify individual risk for...\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/orionhealth.com\/global\/blog\/expanding-the-electronic-health-record-to-enable-predictive-medicine\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Expanding the electronic health record to enable predictive medicine - 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