Optimize outcomes and operations “ Health is data rich and information poor .” Kos goes on to say that the data collected in clinical systems is generally for operational , communication , or medico-legal purposes . Most systems do not store information in a way that makes analytics easy , and an enterprise wide view across systems doesn ’ t emerge organically . “ For an industry that prides itself on being evidence based , health does a poor job of using the most recent and relevant evidence – their own !” Kos exclaims . He sees analytics as a continuum spanning retrospective reporting , real-time dashboarding , predictive analytics , and even prescriptive decision-making using cognitive services and machine learning . Even relatively basic initiatives like patient journey-boards and KPI dashboards can have a huge impact on baselining performance , identifying bottlenecks and streamlining operations .
Kos sees the effective use of data and analytics as the only practical way of achieving population health . Whether it is managing a chronic disease to prevent unnecessary readmissions , or supporting patients as they manage through a care plan , timely and accurate information is key . Assistance in Recovery ( AiRCare ) is doing exactly this , leveraging Tribridge ’ s Health 360 solution . This allows them to identify patients for proactive care , and engage them with clinical and behavioural care protocols to create a unique personal care plan . They have risk-based scoring for factors like suicidality , pregnancy , and relapse , that take into account age and history . This approach has been published as the AiRCare Model of Behavioural Health Crisis Management , and is considered an international best practice . The results are indeed impressive , including a lift in the 12 month continuous abstinence rate from the national average of 35 %, to 72 % for AiRCare patients .
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