This discovery framework is designed to help facilitate a collaborative conversation regarding Salesforce Shield. By exploring these operational scenarios, Workers Compensation Boards can accurately assess internal workflows and identify how specific Salesforce Shield capabilities can support their unique clinical and administrative needs, starting with areas of highest impact to practice revenue and patient care.
How does the board currently quantify and mitigate the financial risk associated with unauthorized access to highly sensitive claimant medical and legal records?
Scenario A: Massive Data Leak Risk
"We lack a centralized way to ensure claimant data is secured from internal misuse, exposing us to severe regulatory fines and reputational damage if a breach occurs."
Scenario B: Unclear Visibility
"We rely on standard security protocols, but I am unsure if we could definitively prove to auditors who accessed what files during a specific timeframe."
When expanding jurisdictional coverage or scaling multi-site operations, how is the standardized retention of historical claims data guaranteed against state-level audits?
Scenario A: Compliance Gaps at Scale
"Scaling our operations across state lines creates compliance gaps because we cannot systematically guarantee 10-year historical data retention for every claim."
Scenario B: Manual Audit Preparation
"We back up our data regularly, but pulling specific historical state data for a sudden audit requires weeks of IT labor."
What automated mechanisms are in place to detect and halt anomalous data exports or malicious internal access to the claims database?
Scenario A: Internal Data Theft
"We only find out about unauthorized mass data downloads after the fact, leaving us vulnerable to internal data theft and HIPAA violations."
Scenario B: Delayed Response Times
"We review access logs manually each quarter, but that delay means we cannot immediately respond to abnormal login behaviors."
How does the organization track and prove the exact lifecycle of a disputed claims decision across extended legal timelines?
Scenario A: Lost Litigation Evidence
"When a claim is disputed years later, we have no granular tracking of who altered the case status or when, leading to significant legal liabilities."
Scenario B: Overwritten History
"We track field history, but standard limits mean older audit data is overwritten right when a complex worker's comp claim goes to litigation."
In what ways are you securing unstructured claimant medical records and financial details without disrupting the daily workflows of claims adjusters?
Scenario A: Broken System Workflows
"Encrypting claimant data breaks our search functionality, forcing adjusters to hunt manually for case files and delaying patient payouts."
Scenario B: Shadow IT Practices
"We encrypt fields locally, but adjusters still download files to read them, creating a shadow IT problem outside our secure environment."
How is the IT organization actively identifying misclassified or overexposed Personally Identifiable Information embedded within free-text claims notes?
Scenario A: Hidden Compliance Risks
"Adjusters frequently type Social Security Numbers into open description fields, and we have no automated way to find or mask that data."
Scenario B: Inefficient Manual Hygiene
"We run periodic manual data hygiene checks, but it is impossible to catch every instance of misclassified medical data at our current volume."
During a regulatory investigation, how quickly can the legal team produce a forensically sound audit of all personnel who viewed a specific claimant's file?
Scenario A: Slow and Incomplete Evidence
"Generating a user access report for a litigated claim takes our database team a month and lacks the granularity required for court."
Scenario B: Ambiguous Access Proof
"We can pull high-level login data, but we cannot prove whether a specific employee actually opened the sensitive medical attachment."
What is the current process for monitoring system performance degradation related to complex claims routing or customized code?
Scenario A: Unidentified System Latency
"Our claims routing system frequently times out during peak hours, and we cannot pinpoint which automated process is causing the latency."
Scenario B: Reactive Maintenance
"We wait for user complaints to know the system is slow, resulting in reactive rather than proactive platform management."
How does the board ensure that banking details and tax identification numbers for medical providers are encrypted across all internal databases?
Scenario A: Exposed Financial Data
"Provider bank accounts are stored in plain text, making us a prime target for financial fraud if our internal system is ever compromised."
Scenario B: Superficial Masking
"We obscure the bank details on the user interface, but the backend database still holds the raw numbers without true encryption."
As new injury reports are processed, how is the encryption key lifecycle managed to ensure compliance with strict data sovereignty rules?
Scenario A: Rigid Security Controls
"We have no control over the encryption keys protecting our initial intake data, which violates our strict internal compliance mandates."
Scenario B: Third-Party Key Requirements
"We use standard encryption, but our compliance team wants the ability to supply our own key material to meet local state regulations."