{"id":2572,"date":"2020-01-13T02:51:12","date_gmt":"2020-01-13T02:51:12","guid":{"rendered":"http:\/\/orionhealth-blog.local\/?p=2572"},"modified":"2025-03-25T01:00:11","modified_gmt":"2025-03-25T01:00:11","slug":"the-big-healthcare-issues-that-hospital-information-systems-can-help-solve","status":"publish","type":"post","link":"https:\/\/orionhealth.com\/au\/blog\/the-big-healthcare-issues-that-hospital-information-systems-can-help-solve\/","title":{"rendered":"The big healthcare issues that hospital information systems can help solve"},"content":{"rendered":"<p>When Hospital\nInformation Systems (HIS) were first introduced in the \u201860s, the focus was limited\nto the core financial aspects of the business. This constraint was simply due\nto the high investment needed for mainframe computing and the network infrastructure\nfor the HIS.<\/p>\n\n\n\n<p>The 80\u2019s brought new\ntechnology, including local area networks and PCs. This lower investment\nbarrier provided the initial triggers for change. With that architecture\nchange, hospitals had the capability to link disparate internal systems,\ncreating a more encompassing approach to managing healthcare services within a\nfacility. Shortly thereafter, wide area networking (WAN) enabled connectivity\nbetween different hospitals and clinics, forming the initial foundation for\ndigital data sharing. <\/p>\n\n\n\n<p>Data sharing brought new challenges. For data to be successfully shared between disparate hospitals and systems, the data format needs to be consistent and predictable. This is where Health Level Seven International (HL7) stepped in. HL7 provides an international standard for the exchange, sharing, and retrieval of electronic health information. Simply put, it is a protocol or agreement that enables better collaboration between multiple organisations and systems.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Creating sharable datasets <\/strong><\/h2>\n\n\n\n<p>The adoption of\nHL7 in the industry led to more effective health information sharing, enabling\nthe creation of a National Health Information network. As a working example, let\u2019s\nlook at New Zealand.<\/p>\n\n\n\n<p>The NZ Ministry\nof Health (MoH) provides a national dataset for all patient demographic data,\nknown as the National Health Index (NHI). The premise of NHI is that every\npatient has a single national identifier, which is used to store all health\ninformation for that individual. This prevents data duplication, increases\nsecurity around data access, and facilitates national data collection for\nanalysis. <\/p>\n\n\n\n<p>For a national index to work, healthcare providers accessing patient data need to act as data stewards, updating any demographic information that may have changed for a patient in their care. Utilising the HL7 standard for data transfer, health organisations and facilities caring for a patient can send updates to the NHI.<\/p>\n\n\n\n<p>Traditionally, a patient\u2019s Electronic Medical Record (EMR), including their medical history, tests, diagnosis, and treatments have been stored&#8211;and owned&#8211;by the facility that provided the treatment. The exchange of patient data between disparate facilities is often done using HL7 or the newer data format standard, Fast Healthcare Interoperability Resources (<a href=\"https:\/\/en.wikipedia.org\/wiki\/Fast_Healthcare_Interoperability_Resources\" target=\"_blank\" rel=\"noreferrer noopener nofollow\">FHIR<\/a>).<\/p>\n\n\n\n<p>However, due to\ndata validation and process disparities between systems, all data associated\nwith a patient may not be fully integrated into a single reliable source. Integrations\nrequire a significant amount of custom mapping, to ensure the data sent by the\npublishing system is correctly validated and inserted into the subscriber\nrecord. These integrations are often done piecemeal, limiting the reliability\nof real-time access to the most current patient information. If a patient were\nto receive care from multiple facilities (perhaps due to a specialist referral,\nfor example), care providers cannot be fully confident that the local copy of\nthe patients\u2019 EMR is fully up to date. <\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Maintaining a single source of truth<\/strong><\/h2>\n\n\n\n<p>But what if all\nhealthcare providers used a single, centralized system? If GP practices,\nhospitals, and community care providers all shared a single database, the\nresult would be a single source of truth. Updates to the patient record would\nmean all changes are immediately accessible to all care providers. Not only\nwould this remove the need for expensive custom integrations, but it would\nprovide clinicians with confidence when making patient care decisions\u2014ultimately\nfacilitating better health outcomes.<\/p>\n\n\n\n<p>The need for a centralised HIS is already high. Governments with public health schemes are constantly faced with an ever-growing ageing population, creating a shift from treating infectious diseases such as cholera and malaria to long term chronic conditions such as heart disease, diabetes, and cancer. This increase in demand is paired with reduced funding, a lack of medical care providers, and ever-increasing patient expectations. All of these challenges make the need for centralisation even greater. <\/p>\n\n\n\n<p>Let\u2019s take a brief\nlook at how a single centralised HIS addresses five key issues for providers:<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Enabling collaborative care<\/strong><\/h2>\n\n\n\n<p>The era of specialty\ncare is here. Patients commonly need to transfer to different facilities for specialised\ntreatment, especially in cases where a patient requires specific treatment not\noffered at their local hospital. With a unified HIS, transfers and referrals\nacross facilities are facilitated with ease.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Identifying needs for targeted funding<\/strong><\/h2>\n\n\n\n<p>A centralised\nsystem with BI reporting capability allows for the analysis of service demand\nacross different population cohorts. Diagnosis data can be captured and analysed\nacross different patient demographics, ethnicities, and regions. Not only do\nthese factors help ensure that public funding is appropriately distributed, they\nidentify areas where early intervention, patient education, and preventative\ncare programs would be of value.<\/p>\n\n\n\n<p><strong>Facilitating population health management<\/strong><\/p>\n\n\n\n<p>A system that\nlinks both administrative and clinical information across multiple care sectors\nenables quick access and data sharing between primary, secondary, and community\ncare providers. The system facilitates collaboration by providing a\ncomprehensive, longitudinal patient record, enabling the coordination of care.\nThis is particularly vital in increasing the effectiveness of chronic disease\nmanagement, such as the global diabetes epidemic. <\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Analysing big data<\/strong><\/h2>\n\n\n\n<p>Big Data\nanalytics in healthcare provides more detailed, personalised insights, allowing\na shift to individualised patient care. Using artificial intelligent (AI) and rapid\nin-memory processing, these systems extrapolate outcomes from vast data sources.\nThe analysis allows care providers to determine treatment options and their\nassociated success probabilities based on cohorts of patients sharing the same\ndemographic, diagnosis, and treatment plan.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Shifting to precision medicine<\/strong><\/h2>\n\n\n\n<p>The approach to\nhealthcare is radically changing worldwide. Where care providers used to focus\non understanding and treating disease, they are shifting toward an individualised,\npatient-centric care model.<\/p>\n\n\n\n<p>Through the&nbsp;<a href=\"https:\/\/en.wikipedia.org\/wiki\/Human_Genome_Project\" target=\"_blank\" rel=\"noreferrer noopener nofollow\">Human Genome Project<\/a>, providers have come to understand the importance of genetics when making clinical decisions. In the last few years, costs for genetic testing have plummeted, as advances in sequencing technology have made individual genome sequencing economically feasible. Remarkable advances in genomics technologies, including pharmacogenomics and direct-to-consumer genomics, are leading to large pools of stored patient data.<\/p>\n\n\n\n<p>Sequencing of the\nDNA can help us understand diseases, including genotyping of specific viruses\nto understand the best treatment plans for the individual, identification of\nmutations linked to different forms of cancer, an understanding of the likely\neffects of specific drugs, and more accurate prediction of outcomes for the\nindividual.&nbsp;<\/p>\n\n\n\n<p>Genomic data is\nnot the only non-clinical data relevant to health. To revolutionise the model\nto precision care, providers need to have access to all the relevant health\ndeterminants for a patient, which include social, cultural, financial,\nbehavioral and economic data.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Want to learn more on the basics of HL7? <\/h2>\n\n\n\n<p>Read our blog <a href=\"https:\/\/orionhealth.com\/au\/blog\/what-is-hl7-and-why-does-healthcare-need-it\/\"><em>What is HL7 and why does healthcare need it?<\/em><\/a><\/p>\n\n\n\n<p><\/p>","protected":false},"excerpt":{"rendered":"<p>When Hospital Information Systems (HIS) were first introduced in the \u201860s, the focus was limited to the core financial aspects of the business. This constraint was simply due to the high investment needed for mainframe computing and the network infrastructure for the HIS. The 80\u2019s brought new technology, including local area networks and PCs. This [&hellip;]<\/p>\n","protected":false},"author":35,"featured_media":2575,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"content-type":"","footnotes":""},"categories":[1],"tags":[],"region":[25,26,23,24,27,28],"class_list":["post-2572","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-blog","region-au","region-ca","region-global","region-nz","region-uk","region-us"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.1.1 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>The big healthcare issues that hospital information systems can help solve - Orion Health<\/title>\n<meta name=\"description\" content=\"The big healthcare issues that hospital information systems can help solve. 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