By Saikumar Chintareddy
Data is key to unlocking the potential of our digital future. in Health careData science has provided unprecedented opportunities to reduce the cost of care, enable and improve preventive care Patient outcomes. With the introduction of virtual assistants, artificial intelligence (AI), genomics and blockchain, data-driven Digital Health Technology is enabling more connected experiences across the healthcare landscape and changing the way patients, providers and payers access healthcare.
According to a McKinsey study, up to 25 percent of US healthcare spending, close to a trillion dollars, is underutilized. This can be eliminated by up to 75 percent with better use of data. Leveraging emerging technologies, advanced analytics, and diverse data sets can simplify healthcare processes and help achieve the quadruple objective framework of expanding access to care and health equity, improving quality of care, enhancing patient and provider experiences, and reducing the cost of care. .
Data powers better health outcomes
Data collection And the process enhances delivery of care and can be used to improve patient outcomes and lower costs.
- Using advanced analytics across broad, inclusive data sets can empower providers with a sharper lens to gain accurate insights for better outcomes.
- A connected data ecosystem creates interoperability that reduces risks in achieving desired outcomes.
- The data also helps derive insights that help build overall health equity, allowing the health ecosystem to serve all communities more effectively.
- Data empowers patients by offering better access to information about their condition and, therefore, an enhanced patient experience.
- Health care organizations can align their business models and strategies with data analytics, helping them better optimize their operations and customize them to each individual’s needs.
Obstacles to Data driven innovation
Despite the promise of data innovation in healthcare, the industry has struggled to take full advantage of it due to certain challenges:
- Health data analysis is a complex endeavor, requiring effective management to ensure data accuracy, free of bias. To reap its benefits, organizations need to create clean, accurate and comprehensive datasets
- Lack of interoperability and connectivity also needs to be addressed. Advances in standardized health care data exchange will reduce the administrative burden on providers. Connecting healthcare professionals through data will speed up the diagnostic process and reduce costs for patients and insurance companies.
- Research shows that to drive data innovation, health care systems need more skilled analytical resources, faster integration of advanced technology across multiple platforms, and increased data governance.
- To unlock the full potential of health data, we need to ensure its security and authorize access through patient consent. Impenetrable patient information systems will foster a culture of trust and transparency, leading to an unfettered and complete shift towards digitization.
Together to shape the future of healthcareData-driven innovation will help us modernize, streamline and simplify the health system. Stakeholders recognize the potential of machine learning, analytics and other advanced digital tools in healthcare. However, to transform the quality and delivery of healthcare through AI-driven systems, the integration of data-driven platforms is urgent and fundamental.
A Harvard Business Review Analytical Services survey of healthcare professionals shows that the industry values collaboration and data sharing. According to the study, 86 percent of respondents agreed that significant improvements can be achieved through strategic and operational alliances using shared data and agreed outcomes and decision-making criteria, and 84 percent believe that data sharing between health care organizations has increased. can have a significant impact on health care reform efforts.
The future of digital healthcare will be data-driven, and will connect all corners of the health ecosystem—from manufacturers to pharma and providers. It will encourage co-development and sharing of creative solutions and a more efficient, integrated and well-connected system to benefit all stakeholders.
With advanced data management systems, this vision will soon become our reality, enabling people to live healthier lives and health systems to work better for everyone.
By Saikumar Chintareddy, Vice President, Software Engineering, and Head for Data, Enterprise Architecture and Integration, UnitedHealth Group
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