Social Network
Team Familiarity
Exploring Team Familiarity in the Operating Room. Using data prototyping in which the use of real data is prefer from hypothetical data, the team focused on searching and analysing available open source data on team familiarity that could have similar data attributes (quantity of nodes, temporal changes, and density of edges) from the proposed data collection.
Data
Prototyping
Since each team in the OR uses an array of 4 different positions (Operating Surgeon, nurses, non-operating surgeons, Anesthesiologists) there is a possible comparison with the main positions played in soccer (Goalie, Defender, Midfielder, and Attacker). Each OR team can be counted as 1 season of a soccer team (since the players usually play together for the remaining of the season) e.g., the OR team in operating room A operating at 9:30 am is equal to the squad of Arsenal FC during the '05-'06 season. In this case 3 Arsenal FC seasons will be counted as a full operation day in operating room A ( usually there are 3 operations in one operatin room).
Team Familiarity:
Adaptation
If player #9 is replace by player #13, the team will have to adjust to the playing style of team #13. In addition, If player #10 is replace by player #17 the team dynamics is changeddrasticaly as not only the reminding original players have to adapt for new team members but #13 has to anticipate the playing style of #17 and vise versa.
Case Study:
Low Familiarity
On the following sample we argue how a team could have been schedule with a low familiarity within each other, this is not an ideal situation since the team is exposed to high levels of uncertainty within their team dynamics, especially in circumstances where team members are relaying on each other during stressful circumstances.
Case Study:
High Familiarity
High familiarity can become an exclusive team, an undesirable consequence, while individuals in teams like these are highly familiar with working with each other, they could also tend to be fragile to introduction of new members, this could prove dangerous when key players from the team are missing or multiple variations within the team. Exclusive teams are unprepated for uncertainty.
Case Study:
Healthy Balance
of Familiarity
this groups is what we consider a healthy balance of team dynamics in the OR, there is level of familiarity with also small levels of uncertainty but there seems to be a network of multiple teams with similar level of familiarity with small introductions of uncertainty. An ideal hospital scheduling environment should aim for a healthy balance of familirity.