HEALTH CARE INVESTMENT (Seamans Clinic session)
For each of the following three potential investments by a hospital system, describe the key factors (relevantcash flows, key risks, major players, decision criteria, etc.) that would drive your recommendations. Feel freeto investigate more about each from internet sources.
[a] Enterprise Data Warehouse and Population Health Data Analytics/BusinessIntelligence Capabilities (ability to aggregate clinical and insurance claims data, model payerreimbursement contracts, and evaluate health care utilization and disease/condition cost trends)
[b] Home monitoring system (for use with patients in a new “Hospital at Home” Medicare contract)
[c] Linear Accelerator advanced cancer treatment equipment ($5 mil Varian TruebeamRadiation system)
Sample Solution
A hospital system looking to invest in an Enterprise Data Warehouse and Population Health Data Analytics/Business Intelligence Capabilities should consider a few key factors when making its decision. Firstly, the hospital needs to ensure that it has access to all relevant data sources (e.g., clinical records, insurance claims) before investing in such a system. Secondly, they must consider what type of analytics capabilities they are looking for (e.g., predictive modeling, forecasting) and determine if the chosen solution can provide these features adequately. Thirdly, they should also take into account potential security & privacy concerns which may arise from having too much patient information stored centrally as well as any regulatory or compliance issues associated with this type of project.
Sample Solution
A hospital system looking to invest in an Enterprise Data Warehouse and Population Health Data Analytics/Business Intelligence Capabilities should consider a few key factors when making its decision. Firstly, the hospital needs to ensure that it has access to all relevant data sources (e.g., clinical records, insurance claims) before investing in such a system. Secondly, they must consider what type of analytics capabilities they are looking for (e.g., predictive modeling, forecasting) and determine if the chosen solution can provide these features adequately. Thirdly, they should also take into account potential security & privacy concerns which may arise from having too much patient information stored centrally as well as any regulatory or compliance issues associated with this type of project.