How to Collect Clean, Accurate Resident Data

Ashley Haines RFID Leave a Comment

Too Many Errors in Your Resident Files? Digitize Your Data Collection System

When it comes to collecting patient data in the behavioral healthcare field, the stakes are high. One small error can jeopardize your credibility, your bottom line, and, most importantly, residents’ health and safety. That’s why it’s essential to have a system in place that minimizes human error as much as possible in order to maintain accurate, verifiable records.

SmartCAT offers an easy way for healthcare organizations to do just that. It’s a data collection platform designed to help behavioral health techs record patient observations accurately and efficiently. It can enable employees to do their job right, which, in turn, can help your institution meet strict compliance standards with verifiable data.

Accurate Recordkeeping

SmartCAT digitizes paper forms. In doing so, you can set up an accurate collection process to ensure all interactions are completed in accordance with policies and standards. For example, employees can follow specific checklists while performing their interval checks through the app to ensure important observations aren’t overlooked. Once the form is completed, they can submit it to the cloud and move on to the next patient’s room. Drop-down menus, data lookup fields, e-signature fields and more can all help eliminate inconsistencies during this process.

Employee Accountability

When recording data on paper-based forms, the tech typically handwrites the resident’s name, the time of the interaction and the observations completed. The problem with this approach is that there’s no way to confirm the information or verify whether the tech was in the right place at the right time. SmartCAT, however, increases visibility and makes it easier for managers to monitor their employees. When techs scan RFID tags at the start of each check, supervisors can tell which room was entered and which resident was observed at any given time.

Plus, because all recorded data is stored in the cloud, administrators can simply log on to the dashboard from any secure web browser to view specific instances and see trends over time.

Increased Efficiency

This scanning feature also helps facilitate faster data collection. After employees scan RFID tags, QR codes or barcodes to confirm they are in the right place at the right time, they can then follow the on-screen prompts to record specific observations. This enables them to accurately log information in a consistent manner, making the data collected clean and concise and saving time. With higher accuracy, integrity and consistency, there will be fewer errors that will need to be fixed down the line.

Easier File Storage and Accessibility

When paper forms are used to collect data, those forms are typically scanned, converted to PDF files and then stored. But with SmartCAT, all data collected is stored directly to the cloud. This can help save time and minimize the risk of misplaced paperwork in addition to making compliance checks smoother. Joint Commission accreditation depends in large part on these records, and accuracy is a key consideration. Furthermore, as the healthcare field continues to move away from paper, digitizing your data collection methods is just another step towards advancing your organization.

Learn More about Clean Data Collection

SmartCAT is an innovative technology that allows behavioral health organizations to improve the quality of the data they capture. With cleaner, more verifiable data, managers can confirm the actions and locations of their employees and discover and prevent problems that may be created by incorrect data. Additionally, it’s possible to ensure employees act in accordance with healthcare guidelines and standards to protect your company against the high costs of dirty data – including potential lawsuits and even loss of federal Medicare funding.

Leave a Reply

Your email address will not be published. Required fields are marked *

This site uses Akismet to reduce spam. Learn how your comment data is processed.