As one of the costlier healthcare systems in the world, the U.S. is under immense pressure to extract greater value from its system’s resources. In response to growing challenges such as an aging population and chronic health problems, healthcare organizations are conforming to the Institute of Healthcare Improvement’s (IHI) Triple Aim Initiative. The initiative is very commendable; considering its three target objectives, success will be a very big challenge: 1. Improve patient experience and satisfaction
2. Improve the health of populations
3. Reduce the per capita cost of healthcare
At this year’s Health Information and Management Systems Society Conference (HIMSS19), Tech Data’s IoT and Analytics team observed many vendors who appear to be focusing on similar solutions in support of IHI’s three objectives above. Data collection and comprehensive healthcare systems integration was a key theme and supported by health organizations in their desire to be more responsive to solutions that fulfill the IHI Triple Aim Initiative. As such, it’s worth exploring the power of data; in particular, how it can address healthcare systems’ growing challenges involving the collection, integration, management of patient information.
Take Aim with Data
Data and analytics is poised to have a dramatic effect on the Triple Aim Initiative, especially in uncovering data trends for better patient outcomes and advancing precision medicine; as well as improving operational efficiencies through machine learning.
Data Visualization: Within a single patient resides an abundance of data, including clinical (pre-existing, prognosis, diagnosis, financial and even patient satisfaction surveys. Having one source of truth enables healthcare professionals to utilize a visual dashboard of analytics to identify patterns with patient data and pinpoint gaps in care to lower re-admission rates.
Data Integration: Healthcare organizations need to share information across multiple systems, from Electronic Health Records (EHRs) to operational and analytics systems. With widespread interoperability, seamless integration allows care providers to unlock meaningful analytical insights to help caregivers make timely and better-informed decisions.
Data Governance: At the time of a patient data capture, it is critical for healthcare institutions to follow a defined process to ensure secure, high quality data exists throughout its relevant lifecycle. Having solid enterprise-wide data governance policies and practices helps healthcare organizations achieve the IHI Triple Aim Initiative.
Cognitive Computing: Given the increased focus on finding solutions for chronic health problems, and lowering healthcare costs, it’s essential for health systems to leverage the value of cognitive computing. Through predictive modeling, machine learning and data mining of current and historical facts, cognitive computing addresses the trifecta of objectives by identifying the best course of action in patient care to facilitate outcomes and mitigate risk.
Consider Strategic Use Cases
Data analytics capabilities are ideal for helping to solve challenges such as securing HIPAA data, managing unstructured data in cloud workloads and analyzing information captured by IoT medical devices. Essentially data is at the core of many opportunities – from improving patient engagement to connecting patient data with new precision health platforms. This allows for a more coordinated, patient-centered care across health organizations. Here are some data and analytics use cases to consider in healthcare.
Cultivate Population Health Management: Identify the impact of high-risk, chronic patients and diseases through data trends and implement preventative measures based on prognostication.
Reduce Patient Readmissions: Utilize real-time predictive analytics to recognize patterns in data and/or gaps in care that are preventable and could lower readmission rates.
Streamline Healthcare Inefficiencies: Leverage cognitive computing and analytics to predict appropriate resource requirements and streamline workflows to enhance quality of care and cost management.
Accelerate Speed of Diagnosis: Provide a 360-degree view of the patient’s health records to include allergies, lab results and pre-existing conditions across health organizations that ultimately contributes to quicker diagnoses.
Manage Clinical Research: Improve the quality of clinical trials with master data management and data governance for processing large data sets.
Solve for Real-World Problems and Hit the Bullseye
There are various use cases for data analytics. However it’s important to become familiar with the roles and responsibilities within the healthcare industry; in particular how the technology spend will shift from IT to the line of business. By end of 2019, 50 percent of all healthcare companies will have resources dedicated to accessing, sharing, and analyzing real-world evidence for use across their organizations. Delivering connected health services and solutions becomes critical in reducing costs and supporting better consumer health outcomes. Focus on areas of data management, analytics and business operations to garner greater success within the healthcare industry.
Discover the revenue potential associated with analytics. Tech Data has the expertise and resources to help you tap into the efficiency, accuracy, immediacy and practice value derived from data analytics. Our solution experts can help you understand and exploit its advantages. Contact us at techdata.com/business/iot/#analytics
About the Author
Emily Melone is as senior marketing communication specialist for Tech Data supporting the IoT and Data Analytics solution areas.