Services

---

Health care, life science biotechnology, venture capital & private equity business decision makers need help making challenging strategic decisions:

Health Systems and Academic Medical Centers need help: 

Understanding patient-physician decision making 

Evaluating provider performance and quality 

Setting effective provider compensation paradigms 

Making effective capital equipment, resource allocation and HR decisions 

Recruiting primary care and specialist physicians and groups 

Implementing inpatient and outpatient telemedicine technologies and services

Clinical Research Centers need help: 

Identifying projects 

Developing and managing protocols 

Writing grant applications 

Managing personnel and financial resources 

Technology Transfer Centers need help: 

Making rationale project management decisions 

Allocating limited funding resources 

Private Equity Firms need help: 

Performing comprehensive due diligence on investment targets 

Managing portfolio companies and fund resources 

Reducing transaction risk 

Raising institutional and individual investor capital 

Maximizing the likelihood of liquidity events 

Pharmaceutical and Medical Device Companies need help: 

Performing sophisticated cost versus outcomes analysis for drugs and devices 

Positioning pharmaceutical products in appropriate insurance tiers based

Developing effective marketing and branding strategies 

Differentiating drugs and medical devices in the marketplace 

Implementing inpatient and outpatient telemedicine technologies and services

Developing and commercializing digital health technologies and services

Strategic Business Decision Challenge: 

High level strategic business decisions are complex

Decision makers must understand and synthesize: 

Sophisticated and oftentimes ambiguous internal and external information 

Preferences, concerns and experience on key decision criteria and objectives 

The complexity of the process is magnified by the need to: 

Make trade-offs among competing objectives 

Synthesize: Factual Data, Qualitative Judgments and Intangible Factors

Produce efficient, rational decisions that tolerate uncertainty and minimize bias

Models are constructed by defining the goal and structuring a non-linear hierarchical framework

The decision is decomposed into objectives and sub-objectives 

Each level of the model redefines the problem elements with increasing specificity

Decisions are reduced to component elements that are organized and analyzed

Decision makers are led through a series of key judgments

Judgments are based on the relative importance or preference of decision objectives and sub-objectives 

Judgments are made using the statistically validated Pairwise Comparison Method 

Judgments can be made verbally, numerically or graphically 

Ratio Scale Priorities are derived using eigenvector principles

Graphical Sensitivity Analysis enables the user to do what/if analyses

Inconsistency Ratio Analysis enables the user to test mathematical accuracy within the model

Experience and intuition are synthesized  with objective data to yield effective strategic decisions that tolerate uncertainty and limit bias

Specialized functions such as the Resource Aligner allow key decision makers to perform highly effective financial resource assessment and allocation decisions