Data is the most important source of information that can guide the consolidation to success. Without data, there is no experimentation and there is no predictability of the business.
Data Integration is the process that can measure operational efficiency even in the absence of the System Integration at both Business and Clinical Levels.
In organizations that have Standardized Clinical Systems, it is easier to establish medical operations level metrics due to normalization of the source code and established GL structure.
In the organizations where the clinical systems are not standardized,data integration is the most important puzzle that needs to be solved early in the game.
A thorough mapping process of current systems should be conducted to produce the full list of both Business and Clinical Systems. Then, the Metrics at the level of the Executive Balanced Scorecard should be determined and Dashboards created for each Department responsible for Growth Levers and Margin Expansion Tactics.
Once the Dashboards are created, possible KPIs should be investigated using existing Data Points. Future systems should be assessed for potential additional Data Points, since there might be additional data available in the near future. Several experiments should be run with the data sets before submitting them to the Organizational Scorecard.
Without overarching Business and Clinical Data Integration, the organization is flying blind. Sufficient Data Analytical and Software Integration competencies should be established at the organizational level in the early stages of Maturity. There is no ability to report progress to your investors or make future investment plans.