What do medical centers have in common with businesses like with Uber, Travelocity, or Amazon? They have a treasure trove of data, that’s what! The quality of that data and what’s done with it can help organizations work more efficiently, more profitably, and more competitively. More importantly for medical centers, data quality can lead to even better quality care.
Here’s just a brief sampling of the types of data a typical hospital, clinic, or medical center generates:
Patient contact information
Medical records with health histories
Geographic data for determining “Prime Distance” and “Drive Time Standards”
Employee and payroll data
Ambulance response times
Patient satisfaction data
Within each of these categories, there may be massive amounts of sub-data, too. For example, medical billing relies on tens of thousands of medical codes. For a single patient, even several addresses are collected such as the patient’s home and mailing addresses, the insurance company’s billing address, the employer’s address, and so forth.
This data must be collected, validated for accuracy, and managed, all in compliance with rigorous privacy and security regulations. Plus, it’s not just big data, it’s important data. A simple transposed number in an address can mean the difference between getting paid promptly or not at all. A pharmaceutical mix-up could mean the difference between life and death.
With so much important data, it’s easy to get overwhelmed. Who’s responsible? How is data quality ensured? How is it managed? Several roles can be involved:
Data stewards – Develop data governance policies and procedures.
Data owners – Generate the data and implement the policies and procedures.
Business users – Analyze and make use of the data.
Data managers – Information systems managers and developers who implement and manage the tools need to capture, validate, and analyze the data.
Defining a data quality vision, assembling a data team, and investing in appropriate technology is a must. With the right team and data validation tools in place, medical centers and any organization can get serious about data and data quality.
How Can Data Quality Lead to Quality Care?
Having the most accurate, authoritative and up-to-date information for patients can positively impact organizations in many ways. For example, when patients move, they don’t always think to inform their doctors, labs, hospitals, or radiology centers. With a real-time address validation API, not only could you instantly validate a patient’s address for billing and marketing purposes, you could confirm that the patient still lives within the insurance company’s “prime distance” radius before treatment begins.
Accurate address and demographic data can trim mailing costs and improve patient satisfaction with appropriate timing and personalization. Meanwhile, aggregated health data could be analyzed to look at health outcomes or reach out to patients proactively based on trends or health histories. Just as online retailers recommend products based on past purchases or purchases by customers like you, medical providers can use big data to recommend screenings based on health factors or demographic trends.
Developing a data quality initiative is a major, but worthwhile, undertaking for all types of organizations — and you don’t have to figure it all out on your own. Contact Service Objects today to learn more about our data validation tools.