June 01 2017 | 0 Comments | 217 reads Average Rating: 3
Using Data to Discover and Treat Undiagnosed Patients
What you don’t know can’t hurt you. If you’re a life sciences company, though, it probably can.
Consider the following: There is a tremendous, untapped market of undiagnosed patients for a variety of conditions. These are individuals who either have the condition but have not had it detected (often patients who are overdue for a physical exam or laboratory work), or those who do not have the condition yet but are trending towards it. Informing physicians regarding these undiagnosed patients would create a financial windfall for them – and for your life sciences organization. Conversely, not knowing about these undiagnosed patients could hurt.
The big question: How can your life sciences company identify these undiagnosed patients when they are typically hidden from view through conventional means?
Recently, SCIO Health Analytics conducted a webinar, How Do I Expand My Markets by Identifying Undiagnosed Patients? During the webinar, the following best practices were reviewed:
1. Collect a broad array of data including socioeconomic and demographic indicators, such as income, education, spending patterns, ethnicity, home values, age, gender, health services utilization, medical and pharmacy claims data.
2. Crunch this data to create patient personas. Leveraging predictive and prescriptive analytics methodologies, the data can be turned into “patient personas” that represent new and unique patient segments and their propensity toward certain undiagnosed conditions. In addition, these behavioral analytics can be applied to identify patients who may not be classified as having a condition such as diabetes or heart disease yet, but are trending (or likely to trend) in that direction.
3. Match the patient personas with demographic information about patients in the area that a physician or hospital serves, to demonstrate which conditions are likely to be prevalent. For example, an area that has a high number of low-income people is more likely to have a high prevalence of diabetes, as access to healthy food is probably limited.
4. Further leverage the patient personas to understand just how likely it is that the undiagnosed patients will be to accept and act upon the medical advice received from providers – or how “impactable” these patients actually are.
5. Work with providers to encourage them to more assertively uncover the various diseases that have a high chance of being prevalent among their population.
This is a broad outline illustrating how non-traditional data can be used to identify and treat undiagnosed patients. For a more detailed examination of the issue, check out the recorded webinar, How Do I Expand My Markets By Identifying Undiagnosed Patients?