As individuals spend more and more time online - interacting virtually, conducting transactions and seeking insights - the web emerges as the greatest stage for human interaction. While online shopping has been on the rise for some years now, and consumer interaction on social media to log in their feedback, suggestions and reviews for services and products is taking the center stage.Recent reports suggest a steep rise in patients exploring social media to look up information about diseases, understand other patient experience with similar ailments and assess care delivery reputation of providers. A Demi and Cooper Advertising and D&C Interactive study states that 41% patients indicate that social media influences their choice of hospital.
While most providers would have migrated to ICD-10 post October 2014, some of the payers that you interact with might not be ICD-10 compliant. This means, while sending claims to some of these non-compliant payers, providers would need a code mapping crosswalk, translating claims from ICD-10 to ICD-9 to ensure that they are able to generate and process ICD-9 claims. Apart from this, even prior to the October deadline, providers need to undertake a financial neutrality analysis to plan for the possible impact on reimbursement variances between pre and post change landscape as well as remediate any reporting variances as a result of code changes.
While we talk about healthcare data standardization, it’s important to look at the constituents of healthcare data being captured within EMRs used by Providers.
The need to have accurate patient health information for clinical decision-making can hardly be over-emphasized. This is most evident when a patient is away from a healthcare facility and hence tracking and aggregating data of his vitals, lab tests and other physiological parameters becomes a challenge. While this has now been simplified with the use of a variety of home monitoring devices, it's the integration of these devices with applications that are accessible to both the patient (at home) and the providers (in the hospital or physician offices) that still present a problem.
As life-sciences organizations look at undertaking initiatives on creating clinical data repositories which aggregate data across patients’ hospital visits, it is imperative that the underlying patient data and terminologies are standardized. This is a vital step so as to ensure uniformity while reporting and analyzing information. In simple terms, terminology standardization ensures comparison of like with like so that there is no variance when data is reported or trends are analyzed.