Martin Bixel - 28 Feb - 0 Comments
Healthcare predictive analytics aren’t just a trend; rather, they’re the future of healthcare. Predictive analytics can be used to do everything from helping practitioners provide a more personalized patient experience to allowing the industry as a whole reduce the cost of care. For patients and providers alike, this is huge. However, in order for the technology to achieve the many goals it set out to do, every healthcare office needs to have the system in place. If you don’t know how to go about integrating healthcare integrated analytics into your practice, here are a few tips to help you along:
Invest in Dashboards
Healthcare big data is huge, and most practices don’t have the resources or the know how to organize all that data and make sense of it. However, data is useless if it’s not understood. Dashboards are cloud-based platforms that allow you to merge data from all of your data sources into one convenient location. However, dashboards don’t stop there. Once your data is collected, your dashboards can work to reveal relevant insights based on the inputted queries or search terms. For instance, if you have a patient who complains frequently of chest pain, but he or she otherwise seems healthy, you can use your dashboards to discover an underlying cause by inputting information you do know about your patient, such as weight, height, ethnicity and past medical conditions. This can reveal patients with similar risk factors and, hopefully, point you in the right direction in terms of diagnosis and treatment.
Pinpoint a Data Governor
Having a dashboard is not enough to make sense of your healthcare integrated analytics. You should also implement data governance policies and appoint a data governor to ensure that those policies are being upheld. This person should not only have a head for numbers, but also, he or she should be adept at making relevant insights, revealing subtle correlations and putting together helpful reports that contain just the information needed by providers to make timely decisions. Too many data reports contain information that, though important, is not necessarily relevant to the questions being asked.
Identify the Risks
When it comes to utilizing healthcare integrated analytics, a lot is at stake—namely, your patients’ health. You cannot just assume that the data given to you is correct, because if you do, and if it turns out to be wrong, a patient’s health may suffer. That is why it is so important to have a data governor in place, who can ensure that the quality of your data remains high. That said, you can help your governor do his or her job better by identifying the risks. One such risk is inconsistent diagnostic criteria.
For instance, just because the data says young women in their 20s who are in otherwise great health do not generally get breast cancer doesn’t mean that they cannot. If a young woman says that her breasts feel different to her than they did last month, her doctor should request a mammogram, not write it off as a “benign tumor” or something that is more in line with what the data says should be true.
Healthcare integrated analytics can be a great tool, but it’s up to you to integrate them in a way that is useful. By utilizing the tips above, you can make the most of your data and use it to do what it was meant to do, which is improve the quality of care.
If you are interested in learning more about healthcare data and analytics, make sure to come see CitiusTech at HIMSS 2018!