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         Rapidly Defining Quality Metric Targets in
Healthcare 
        Client: Intermountain Health Care 
        
          
        Situation: Our client is a 
        nonprofit health care system serving the needs of patients in the Rocky 
        Mountain states. As an integrated system, they provide clinical 
        excellence through three divisions, Hospitals, Physicians, and Health 
        Plans. Their system provides for over 500,000 lives. The organization is 
        highly commitment to achieve medical outcomes among the best in the 
        nation. Supporting that commitment, their market research team intended 
        to build the internal capability to define system improvement goals 
        through qualitative research and establishing ongoing quality metrics.   
        
        Strategy: Their market research 
        team included over a dozen professionals, many with advanced training to 
        the PhD level. They were well versed in  
        survey research methods, particularly in healthcare settings. They 
        recognized the limitations of traditional qualitative 
        methods, such as focus groups, which often fails to uncover true behaviors and experiences due to 
        the highly personal nature of healthcare. They were also concerned with 
        the time and effort required to conduct depth and ethnographic research 
        both in the field and for analysis.  
        
        We chose to pursue a training approach based on our 
        Vocal Insights process. Our process allows teams to rapidly collect 
        depth and ethnographic data and create a shared knowledge 
        foundation about the subject’s experiences and unspoken needs. That 
        shared knowledge foundation points the team to key areas for 
        measurement and subsequent targets for innovation. 
        
        
        
        
        
        
        
        Tactics: Training the entire team 
        on our methodology would enable them to divide the data collection 
        process among all the team members and reduce data collection to a single day.  
        The problem with distributing data collection across many individuals is 
        how to quickly analyze and make sense of all the data in a robust manner 
        that unites the team. To accomplish that, we provided training on our 
        team image mapping process. This allows the team to analyze their piece 
        of the data independently.  Then bring all their individual data 
        together and quickly build a shared knowledge foundation about their 
        subjects’ experiences, perceptions, and needs.   
        
        
        
        
        
        
        
        We conducted the training in three days. During the 
        first day, we mapped out our process, created the open-ended interview 
        guides, and 
        recruited the subjects. On day two, each team member conducted their 
        field work and analyzed their data.   On day three, we created 
        our image 
        map that  defined the key issues, problems, and needs as targets for quality 
        measurement and innovation.   
        
        
        
        
        
        Results: Our client now has the capability to design and implement a
comprehensive in-depth qualitative study, analyze the data, and make sense of it
all to guide developing quality metrics, in less than a week.  In addition, they 
        enjoy the value of creating shared
knowledge foundations which enhances buy-in and empowers the organization to act
quickly with confidence. 
       
   
        
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