In order to run healthcare care industries, government and private medical centers effectively, it is important to have a managed medical research Consultancy system. It covers medical record collection and management analysis, audit and regulatory analysis, documentation, medical research and call center duties as well. Basically, the main objective of this system is to offer integrity and transparency in the medical healthcare services. The industries mainly have medical research consultants to manage this system. Consultancy is required almost in every sector.
In the Medical branch, the good consultancy has great importance in health services and research, biomedical innovations, health economic modeling, and technology assessment. Strong opinions and decisions are required by researchers to figure out what technologies would be recommended for basic health in order to make advances in medical research. Panaxea is recognized as a knowledgeable, creative and efficient research consultancy organization. Here are some works that well explains about this organization:
Point of Care Testing (POCT): On the unit basis this method is known to be the most expensive than centralized laboratory testing analyses. While an introduction of any new treatment protocol in a hospital setting that involves an increase in the number of POCT, proper costs and benefits involved needs to be analyzed. A Client requested the Panaxea team for an economic evaluation of new and conventional treatment protocol. In order to compile the existing data, we carried out a time-and-motion study for the estimation of additional time expenses allocated to increase the POCT analyses. This resulted in the development of health economic model integrating the deterministic and probabilistic sensitivity analyses.
Markov Model: In order to increase the market share of one of their products, a provider of hemodialysis services requested to develop a health economic value story for the protection of this technology at the global level along with the development of a model enhancing cost-effective and budget-friendly analysis to support this system. A Markov Model was developed by our team to represent project costs, occurred events and reimbursement over the last five years. This model matches the cost patterns, decision maker’s population characteristics and suggests changes in the input parameters.
