Hunter Healthcare’s Post

Enjoyed contributing to this thought paper, looking at how data professionals continue to leverage healthcare data to make people healthier and happier.

I had the privilege of contributing to a fascinating new report on “What Makes a Top Chief Data & Analytics Officer (CDAO)” a role that’s becoming absolutely essential as data continues to transform Healthcare. Chief Data and Analytical Officers Network Hunter Healthcare Hunter Healthcare - Digital, Data and Technology In the NHS, data isn’t just about analysing past performance; it’s about shaping the future. Data helps us monitor the impact of services, inform key decisions, and even predict outcomes before they happen. As the NHS grows more data-driven, the CDAO role will only increase in significance. This position demands a deep understanding of data—how it’s collected, interpreted, and ultimately applied to make a real difference. I’d love to hear your thoughts on the report! And if you’re interested in collaborating on the next one, please reach out! #DataAnalytics #CDAO #NHS #HealthcareData #FutureOfHealthcare Tom Hodges Marc Farr Tracy White Thompson Christine Jeanette Fraser MSc MBCS Shevon Licorish Ruth Holland Matt Hennessey Jane Johnston LFEDIP James Jarvis Mark Landau Shevon Licorish Matt Oakes Andi Orlowski Kavitha Saravanakumar Neela Tirumala-Srinivasa Richard Wilson Jake Abbas Rony Arafin Rowland Agidee MSc CHCIO CITP FEDIPAdvPra Simon Bailey Caroline Beardall ICF PCC FCIPD Jason Bradley Huw Davies Lisa Fox Daniel Hayes

We need to start recognising the importance of this role who have a complimentary but very different focus to CIOs. Promotion of CDAOs at board level is vital if we want to progress with the prevention agenda, population health management, tackling inequalities and evidence based decision making. I urge you to take the time to read this to understand why this role is so important in optimising intelligence and insights as these experts have a deep understanding of the complexities data and analytics needed to drive production of powerful intelligence and insights rather than report churn.

What Makes a Top Chief Data & Analytical Officer?   Hunter Healthcare is proud to have worked in partnership with the Association of Professional Healthcare Analysts’ Chief Data and Analytical Officers Network to research and publish a landmark report What Makes a Top Chief Data & Analytical Officer?   This deep dive into a relatively new role in the NHS explores the essential attributes needed to make it to the top in this field and makes recommendations to ensure the Chief Data & Analytical Officer (CDAO) role reaches its full potential in the NHS. At Hunter Healthcare, we are proud to support this research and advocate for stronger, more empowered CDAOs within the NHS.   Our report sheds light on how the role of the CDAO is evolving, capturing both areas of progress and those that are still needed for a path to success. It may not have all the answers, but we can support CDAOs to help them grow and evolve as a core part of the healthcare landscape. The report looks at key areas that will strengthen the position of the CDAO and help unlock the full potential of data and analytics in the NHS.   First, CDAOs need to be elevated to an executive level, or at least have their voice heard loud and clear in executive decisions. It’s critical for such a presence to exist in order for data and analytics to be recognised as strategic assets of the organisation. We must set up CDAOs so that they can contribute directly to the strategic direction helping the NHS embed data insights into a patient-centred, more efficient, modern data-led health service.   Further, the role of the CDAO should shift from simply reporting to engaging in strategic decisions. This will give those in the role scope for becoming more predictive and proactive towards data-driven actionable insights. CDAOs can be catalysts for improving data liquidity in the NHS and should be directly involved in leveraging the power of advanced analytics and AI for their organisations, alongside helping to shape national policy in the context of the Federated Data Platform and Secure Data Environments.   Formalised career development programs for data professionals also need to be established, which would offer ways to develop skill levels and routes to professional accreditation so that the data specialist is resourced and incentivised in their quest for further development.   The report also examines nurturing of the next generation of CDAOs through flexible recruitment practices, which develop the talent early by hiring directly from universities, or even schools, to guarantee a steady supply of skilled data professionals.   These recommendations, in addition to building a robust network around the role of the CDAO, will enable CDAOs to drive the agenda in innovation, improvement in the quality of NHS care, and help to drive insight-driven excellence in the NHS. https://lnkd.in/dTfvduKY AphA Analysts

Successful integration of data-driven insights yields benefits. Yet, achieving meaningful healthcare analytics is challenging. Discover the top 10 challenges of Big Data Analytics in Healthcare in this insightful article. Also, don't forget to learn how Actian can help you! https://lnkd.in/ds29TwHK #healthcare #bigdata #datamanagement #dataintegration

🚀Today I want to let you in on my first N9m data consulting gig implemented earlier this year. My journey into the world of tech began when I transitioned into technology from a nursing background as a data analyst specializing in healthcare. I saw firsthand how harnessing the power of data can revolutionize patient care. Now let me gist you the story proper of a N9m data consulting project that exemplifies the transformative potential of analytics in healthcare. What I was faced with….. A very popular gov’t healthcare facility (name concealed) in protharcourt was struggling with high readmission rates for patients with chronic conditions, particularly diabetes and heart disease. They approached me (after a successful pitch a month earlier) to develop a data-driven solution to improve patient outcomes and reduce unnecessary hospitalizations. So what i did was: To implemented a comprehensive data analytics strategy that involved: Data Integration: where i combined data from their electronic health records (EHRs), and the little they had on patient-reported outcomes. 📊Predictive Modeling: you all remember when i talked about ML in data analytivs yeah!!! 😂 so Using machine learning algorithms, I developed a model to identify patients at high risk of readmission within 30 days of discharge. Real-time Monitoring: I knew no way a good healthcare dashboard wouldn't want to be in realtime, so I created a dashboard for the nurses especially to track high-risk patients and quick call for intervene proactively. Personalized Care Plans: Based on the insights from our model, we helped design tailored intervention strategies for each high-risk patient. Whats shocking is that this model is now being used as a lead generation system for them too🤪🤪 Just After 5months now: 🕺🕺 The implementation and the results have been remarkable: ✌️22% reduction in 30-day readmission rates for patients with chronic conditions ✌️18% increase in patient satisfaction scores 👌I was just informed too that over N83.8 million have been saved so far due to avoided readmissions 🙏 and over 15% improvement in medication adherence among high-risk patients See let me tell you what I have learned so far: That the need for data analysis in our healthcare facilities cannot be overemphasized. More so, when data professionals are hired to help evaluate your facilities, they bring a diverse wealth of knowledge and use of advanced analytics techniques such as ML. As a Nurse I Identified at-risk patients before they experienced adverse events I empowered my professional colleagues with actionable insights And I am most happy as to how I helped Improve the quality of care while reducing costs. What are your thoughts on the role of data analytics in healthcare? Have you been part of similar initiatives? I'd love to hear your experiences and insights in the comments below! #HealthcareAnalytics #DataDrivenHealthcare #PatientOutcomes #HealthTech

While big data analytics has immense potential in healthcare, implementing it can be challenging. However, there are a few strategies that can help make the transition smoother. Here are four emerging strategies to advance big data analytics in healthcare. #BigData #Healthcare #Analytics #Datascience

Explore 10 challenges data analytics is facing in healthcare. #dataanalytics #healthcarenews #healthcareindustry #healthcaretechnology #digitalhealth #patientdata

In 2019, Gartner predicted that by 2023, 60% of Health Information Exchanges would shift the focus of their business models from information exchange to data management and analytical services. The future state of health information exchanges will offer data management services (standardization, normalization, modeling and enrichment) and analytics services as well as simply the mechanics for exchange. In Ireland, in 2024, trusted data management is the bedrock of nearly every programme in Irelands Digital Health Strategic Implementation Roadmap, as agreed by Health Service Executive and Department of Health - Ireland. As Ireland prepares for a National EHR, the use of health information exchange platforms and health data management platforms that can interoperate with EHR's to provide clinical and operational value to care teams, is increasing. Platforms such as the health industry solution in Microsoft Fabric helps data management teams in health organisations manage this complex interchange of data while Microsoft Purview assures the security and governance of the data. This year Microsoft announced that the healthcare data solutions focused on ingesting clinical data is available in public preview and available in the Industry Solutions workload in Microsoft Fabric. Previews designated as production-ready employ privacy and security measures typically present in generally available online services. It can be used to process data that is subject to HIPAA and other EU regulatory compliance requirements. The public preview enables customers to create a medallion architecture aligned with the FHIR standard by providing data models and transformation pipelines. These are the current capabilities: Healthcare data foundations—Set up your healthcare data estate to run solution capabilities and configure it to structure data for analytics and AI/ML modeling. 👨⚕️ FHIR data ingestion—Bring your FHIR data to OneLake from a FHIR service such as Azure Health Data Services. 🗒 Unstructured clinical notes enrichment—Use Azure AI’s Text analytics for health services to add structure to unstructured clinical notes for analytics.   ➕ OMOP Analytics—Prepare data for standardized analytics through OMOP (Observational Medical Outcomes Partnership) open community standards. 💡 Data preparation for Dynamics 365 Patient / Service User Insights—Connect Dynamics 365 Customer Insights to your OneLake on Fabric for creating patient or member lists for your outreach.  If you wish to know more about Microsoft Fabric (Health Industry), get in touch. CODEC's AI & Data practice lead Alberto Merinos and I are ready to address any questions you might have about the solution or best practices to implement it that delivers value quickly to your team.

Blog :- Navigating the Data Universe: Data Lake/Warehouse vs. Clinical Data Repository In the age of big data, understanding the various types of data storage and management systems is crucial, particularly in the healthcare sector. This blog delves into the differences between these data management systems, clarifying their roles and helping healthcare professionals make informed decisions about data strategy. Blog link:- https://lnkd.in/dvFaHgdG #healthcaretechnology #medicaldevices #patientcare #digitalhealth #healthtech #personalizedmedicine #healthcaredata #datamanagement #datalake #datawarehouse #clinicaldatarepository #healthit #healthcareinnovation