With the explosion of digital health data and the inherent challenges of normalizing it to support industry goals, it is becoming imperative for payers, providers, and life sciences organizations to modernize their legacy infrastructure and create an integrated data ecosystem to better manage and align clinical data residing in a plethora of loosely connected data stores. Accessing and exchanging health data in a secure manner is becoming a daunting task for healthcare sectors. As a result, the healthcare sector is turning to emerging technologies and analytics-driven innovation with the main goal of liberating data from siloed systems, not only to give patients more granular control of their data but also to improve outcomes by giving healthcare experts a unified and accurate view of the patient's conditions and unlock frictionless care at the right time.
The healthcare sector is accumulating data at an unprecedented rate, making it important for healthcare organizations to prioritize efforts to rapidly, cost-effectively, and securely use vital healthcare data to improve individual outcomes and population health. A study conducted by Black Book suggests that over eighty percent of healthcare leaders state that their use of data for clinical decision-making and strategic planning is "negligible". So, what does it take to efficiently integrate complex, siloed, and unstandardized healthcare data that can help drive change and improve health outcomes? A modern data hub with the ability to harmonize rapidly evolving digital health data of all formats to extract relevant insights and close clinical care gaps.
An end-to-end modern data hub can facilitate the harmonization of clinical and operational data, enabling new models of collaboration across health care systems, and help clinicians gain real-time, holistic views of patient records in a secure, compliant, and scalable environment. Not only does a centralized data interoperability solution help save significant costs across health organizations but also helps save unparalleled amounts of lives around the globe. Additionally, a survey conducted by the Deloitte Center for Health Solutions suggested that some of the biggest drivers of investment in data analytics technology in healthcare were improved clinical outcomes, reducing operating costs, pursuing revenue growth opportunities, enabling value-based care, supporting new payment models, and supporting research. Let's delve deeper into some of the key benefits of a powerful and reliable data harmonization solution.
- Comprehensive View of Patients: To effectively manage patients or members, healthcare organizations need critical information at their fingertips. A data hub can accumulate all aspects of a patient's medical history and create a comprehensive view of patients, and patient groups. This not only enables predictions but turns data into life-saving decisions.
- Improved Patient Engagement: Patient disengagement can often lead to serious consequences including hospitalization and preventable deaths. When used in the right manner, healthcare-relevant data like administrative data, medical records, surveys, and standardized clinical data coupled with predictive analytics can help physicians build a targeted system to improve patient engagement and save lives.
- Improved Health Outcomes: An end-to-end healthcare data harmonization solution not only allows organizing medical data but also integrating it and enabling its analysis to make patient care more efficient, and derive insights that can improve medical outcomes. Data harmonization solutions take full advantage of the increase in digital health information and aid in an accurate diagnosis and identification of the cause of a patient’s specific illness.
- Improved Decision Making: Data hubs allow physicians and providers to use any kind of health data from almost any source imaginable and turn it into meaningful and actionable insights with speed and ease. This empowers clinicians to choose the best treatments, determine the most effective ways to utilize resources that can impact health outcomes and costs.
- Analyze Physician Activity: Digital data stored in a secure and accessible platform helps healthcare and life sciences operational leaders, researchers, and clinicians gain real-time, holistic views of patients, and analyze practitioner data such as success rates, time invested in various treatments, and medical decisions.
- Elevate Operational Efficiency: Modern healthcare data management solutions empower healthcare organizations to augment healthcare operations and alleviate medical institutions' pain areas. It allows them to rethink how they operate and deliver their services to the patients in need.
- Reduce Costs: Recent advances in healthcare data management suggest that providers and payers haven't been able to drive down administrative and data center costs. However, modern data hubs allow healthcare players to predict operational costs and decrease the unimaginable burden of systems and storage administrators.
- Manage Explosive Data Growth: A comprehensive data hub enables healthcare organizations to continuously capture terabytes of data containing patients’ protected healthcare information. This also empowers healthcare providers with the ability to manage ever-growing healthcare data across their care ecosystems and lower data-center costs.
- Highly-Scalable: Data hubs enable efficiency, scale, and agility by allowing healthcare practitioners and organizations to build a data warehouse that can be integrated and interact with hundreds of systems across departments at scale. This not only reduces costs in the long run but also allows healthcare divisions to maintain a stable level of profits as well as keep the workflow uninterrupted.
- Enhanced Security of Healthcare Data: Any reliable and future-ready data hub work rigorously to create a protected environment for the storage, transmission, and analysis of huge volumes of healthcare data from myriad digital sources. Moreover, data hubs comply with healthcare safety and data privacy regulation like the Health Insurance Portability and Accountability Act (HIPAA) standard and enable deploying a fully managed, highly scalable, and secure environment for handling health data.
What rings true universally is that data-driven innovation is the undisputed strategy of many forward-thinking and larger healthcare entities today but the same isn't the case for smaller and local healthcare providers. Quantiphi is one of the first organizations to address this gap and enable healthcare providers of all shapes and sizes to reap the benefits of cutting-edge technologies. Recently, Quantiphi was named a launch partner for Google Cloud's Healthcare Data Engine—an end-to-end solution facilitating the harmonization of clinical and operational data, enabling new models of collaboration across health care systems, and life sciences organizations. Partnering with Google Cloud, Quantiphi is successfully implementing a Healthcare Data Engine that builds on and extends the core capabilities of the Google Cloud Healthcare API to harmonize rapidly evolving digital data and help organizations utilize their data to full capacity.
Can expediting the adoption of an end-to-end data modernization solution help physicians, providers, and payers to be well-positioned to improve patient outcomes and elevate operational proficiency? The answer is a resounding yes! There is no question that healthcare organizations that embrace and leverage data with partners similar to Quantiphi and Google Cloud are well equipped to be better prepared for the rapidly evolving future. To learn more about how Quantiphi can help you harness the true prowess of data and make life-changing data-driven decisions from disjointed healthcare data, visit https://quantiphi.com/ or reach out to our experts.
