Most recently, the COVID-19 pandemic ignited a new need for data and technology to be harnessed in the healthcare domain. Across the globe, all kinds of new and emerging technologies are combining to bring about a digital healthcare transformation, a worldwide change, that fundamentally has never been seen before. This radical acceleration highlights the potential to provide a more patient-centred delivery of care, using digital technology that can reshape and enhance our healthcare systems.
Data gathering offers huge potential. Isn’t it for the best when data is working for the benefit of patient health, for example, to perhaps delay and sometimes even prevent the onset of disease or help manage and maintain wellbeing?
Still, data can’t do the job on its own. To be effective, all of the available data needs to be sorted into relevant parts, organised into categories and recombined again to provide healthcare professionals with new perspectives and insights on clinical decision-making. This is where digital algorithms come into play. They combine and analyze a variety of data from existing lab and clinician workflows that can then be turned into actionable insights for physicians. By comparing large amounts of data sets, oftentimes even across geographies and different cohorts, digital algorithms can help guide clinical workflows or support clinicians in their decision making or improve lab efficiencies. Using cloud-based platforms and applications with encrypted technologies, can make health-related data more comprehensible, insightful and easily accessible only to the people who need it, where they need it, such as patients, and the healthcare professionals who serve them. he data also needs to be managed in a way that respects the privacy, security and use of the data in ways that it was intended. That’s why data in these systems needs to be managed in a way that respects the privacy, security and use of the data in ways that it was originally intended.
And this becomes possible when we can create secure, digital ecosystems across a variety of points of care delivery in a community linking patients with the care professionals working in clinics, labs, and hospitals.
A digital ecosystem connects diverse data resources, applications, devices and technologies, enabling them to work seamlessly together. It offers society new ways to organise and deliver health care, and most importantly, new ways to improve patient outcomes and overall population health. The aim ultimately is to securely deliver the right information, to the right person, at the right time improving cost efficiencies and clinical decision-making.
In the context of healthcare, a digital healthcare ecosystem is a combination of resources working together, using emerging applications and technologies, to unify different types of data (e.g., administrative, test results, etc.) gathered by clinics, laboratories or any medical test through lab or hospital information systems (LIS/HIS). Actionable Insights (from the combination of data points) can be displayed on a computer dashboard or an app where a clinician can view contextualised medical insights on the individual. These insights can also be integrated directly into the individual patient’s electronic medical record (EMR). (Administrative-related data can also be connected so that hospital or lab leaders can gain insights for improved efficiency and quality of healthcare service delivery.) Imagine the amount of valuable health related insights created across the span of your own lifetime.
With such integration of vital patient information (or administrative information), sourced from every relevant data point, and presented in the EMR (or in another relevant dashboard), clinicians can efficiently and confidently make informed assessments and if necessary, make adjustments to treatment regimens and care plans. The outcome is to provide a more personalised level of care for each patient.
Beyond data from various healthcare locations, and laboratories, clinicians using clinical digital devices, and increasingly patients themselves, will also have greater opportunities to contribute to the rich quality and quantity of health data. This will be provided through real-time test results using a growing variety of at-home tests and self-monitoring tools, devices and technology.
Innovative applications are being developed by innovative companies who understand the needs of patients and the potential for harnessing health data analytics. Using wearable tech, smart delivery devices or sensors that record the results of tests into a mobile app or cloud based technology, patients can potentially be more engaged in managing their own testing.
Clinical digital devices are now entering the healthcare technology marketplace. These devices are offering lab and hospital professionals new ideas and channels to improve efficiency of care delivery, lightening administrative burden upon healthcare services and, most importantly, bringing in new insights to clinical decision-making for patient care.
It's easy to see the opportunities and value of combining more points of health data (patient and administrative) and bringing them securely into a connected digital healthcare ecosystem which uses emerging technologies to provide a reliable source of up-to-date information.
Clinicians can view many data points together, through a single source, informing their decision making and personalised treatment plan for patients.
Clinical and lab workflows and processes are standardised to deliver the required quality and efficiency for delivery of care.
Patients are also empowered to contribute to, and be engaged in their own disease management and sometimes even disease prevention using applications and technologies that securely share information with their clinician.
Digital ecosystems in healthcare can also make it easier to connect medical professionals with innovator startups to explore and pilot how new applications and ideas can be applied to improve healthcare directly.
Over time, the digital healthcare ecosystem will build a repository of learnings and insights, which can help increase the effectiveness of personalised patient healthcare as well as disease management and prevention measures across the population.
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