CISOM: A Deep Dive into the Focus Areas

HIMSS Analytics

Despite many well-funded initiatives to strengthen quality and safety, healthcare systems worldwide have not experienced significant improvement in these core areas. Medical device failures and lack of traceability of products within the health systems are significant factors that contribute to this issue. Additionally, the drive toward precision medicine is putting significant pressure on healthcare providers to find value at a system level to achieve sustainability. Quality and safety should be at the core of healthcare systems and many of the issues can be highly preventable, such as increasing the ability to trace, and find, products used in healthcare. Providers need a prescriptive roadmap to follow and measure against to support system improvement and personalized care.

CISOM: The Solution

HIMSS is introducing the Clinically Integrated Supply Outcomes Model (CISOM), an eight stage (0-7) model that lays the pathway to building a supply chain infrastructure that provides benefits in both quality and safety. Using the CISOM, healthcare organizations are given guideposts to follow to build capabilities in delivering personalized care for populations.

Healthcare systems require automated supply chain infrastructure at the point of care to proactively identify the risk of adverse events, to strengthen quality and safety for patients, and improve overall system performance.

CISOM Focus Areas

Organizations are able to adopt and implement the criteria in the CISOM through four key focus areas. Organizations engaging in CISOM can measure against each of these focus areas at each stage of the model while they achieve new capabilities and improve their clinical supply chain management.


The focus area of automation examines both outcomes of inventory management and inventory management processes. Product orders are generated automatically, based on established minimum and maximum inventory levels, which are sent directly to manufacturers/distributors using Electronic Data Interchange (EDI) integration, ensuring products are always available when and where they are needed. Inventory tracking is led by supply chain teams working closely with clinical program teams to ensure safe products are procured and no stock outs occur. Product waste is also minimized by tracking expiry dates and ensuring products are used before the expiry dates are reached. 

Product registries are established using global standards to identify product attributes, which can be linked to patient outcomes. These can be tracked and traced globally, supported by a global standard used to identify products in any language. 

Clinical Integration

The clinical integration focus area examines the integration of clinical teams with supply chain teams.  These teams collaborate to ensure that safe, quality products are procured and inventory management data informs clinician decisions at the point of care, relative to patient safety risks (e.g. expired and recalled products). Clinical integration requires that clinician teams scan products, and patient and team identification bands to track care processes, delivery of care, and products used; all of which are linked in patient outcomes. This point of care data capture enables clinician and supply chain teams to make procurement decisions ensuring that the products purchased offer the best outcomes. Clinicians also leverage supply chain data to examine case costs relative to patient outcomes, in order to determine value of care for patients. 

Physicians assume a leadership role in making decisions on standardizing care delivery processes, reducing variation, and informing procurement decisions. Product performance outcomes are shared with vendors to inform future development of products, in order to support innovation. Adverse event reporting is digital and automated outcomes result in a seamless capture of data at the point of care. This saves clinicians significant time from scanning products and procedure identification (instead of manual documentation), and reduces the need to spend time looking for products due to this automated system.   

Predictive Data Analytics

 Predictive analytics is the focus area that describes the analytics strategy that mobilizes supply chain data (e.g. point of care data that is integrated with product, and financial data captured by ERP) and applies advanced analytics to predict risk for patients. This then alerts clinicians to risk events, so they can proactively intervene. This integrated data creates a comprehensive data set which enables analysis of the care processes and products used in care that offer the best outcomes for patients. Recalls and alerts are automatically communicated to clinicians at the point of care. Adverse event tracking is automated and predictive analytic tools inform clinicians of risk to patients at the point of care.

This analytics dimension enables the capture of data in near real time. This shifts the reliance from retrospective data towards proactive identification of risk, which enables clinicians to intervene and prevent adverse events in real time. Analytics offer patients the digital tools to not only access their data, but also analyze and understand the meaning of the data to inform their personal health decisions. Analytics are designed to be patient centric, to inform patient decisions on best care processes tailored to personal needs and values. 

Governance and Leadership

The governance and leadership focus area examines the role of senior leadership in the organization in leveraging supply chain data to inform strategic planning around advancing quality, safety and financial sustainability outcomes for the organization. 

Leadership also engages and relies on robust clinician involvement to inform decisions on patient care, quality and safety. Leadership roles such as Chief Medical Officer and Chief Nursing Officer lead quality and safety initiatives, informed by the analysis of supply chain data. These initiatives enable segmentation of the patient population based on outcomes, the care processes and products that achieve the best outcomes, and the conditions under which best outcomes are achieved. In higher levels of maturity, patient outcomes are tracked by senior leaders to identify patient populations at risk, which informs senior leaders of the opportunities to proactively intervene to prevent illness or deterioration of health to preserve or strengthen quality of life. 

The governance and leadership areas focus on transforming care delivery from a retrospective model towards a predictive and proactive care delivery experience that enables patient populations to remain healthy and well.

Get Involved

The HIMSS CISOM evaluation is now available, and will provide you with a baseline score by which you can determine the next best steps to move your organization toward Stage 7. Be among the first to get your CISOM score.


Are you interested in a deeper dive into the CISOM model? Watch this webinar with Dr. Anne Snowdon, Director of Clinical Research, HIMSS Analytics,who provided an in-depth overview of the model. Find out how the CISOM can impact your organization.