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Business Intelligence and Analytics

Dimension Definition: BI and analytics dimension is related to the reliance on analytics to transform data into insights that drive better decision making and ultimately better healthcare outcomes

Scope:

This dimension defines the importance of data & analytics in the consumerism era, this gives the ability to transform data into knowledge, insights and eventually better healthcare outcomes.
Health systems generate massive amounts of data. However, unless and until — data is mobilized, exchanged and analysed to reveal insights, information and knowledge, then it cannot adequately inform stakeholder Decisions.

Relevance to SeMA:

Identify the Digital health baseline within the healthcare provider facilities within the data & analytics dimension
Identify the Digital Health maturity levels/scores and any gaps in the baseline within the data & analytics dimension
Propose Digital Health areas of improvements and suggestions in the baseline within the data & analytics dimension

Key Criteria:
Master Data Management (MDM)/ processes and policies
Single source of truth
Predictive data analytics capabilities and tools
Data storage and retention policies

Sub-Dimensions:

5.7.1 Data Standards

5.7.2 Common Terminologies

5.7.3 BI Reporting/Dashboards

5.7.4 Data Analytics

5.7.5 Data Storage and Retention

Assessment Questions

BI Reporting/Dashboards

#	Assessment Elements	Answer Options	What looks immature	What looks mature	Evidence Type
	Does the organisation have a comprehensive data analytics or business intelligence strategy?	-Yes -No	The organization does not have a clearly documented, comprehensive and multidisciplinary BI strategy	The organization has a clearly documented, comprehensive and multidisciplinary BI strategy	Please attach the strategy
	Does the organization have access to real-time or near real-time data displaying information about the performance of the services or patient information?	-Yes -No	No access to real time dashboards	The Organization have access to real-time data displaying info about the performance of the services or patient information	Please provide a screen sample of the dashboard
	Does the organization have a data analytics (or similar) team with defined tasks, roles, responsibilities, and processes for supporting and promoting the effective use of Business Intelligence across an organization?	-Yes -No	No BICC created	The organization has a data analytics team with clear tasks, roles, responsibilities and processes for supporting and promoting the effective use of Business Intelligence across an organization. In addition, an analytics competency center is added to it	Please attach an operating model or an organization chart of the data analytics team
4.	Do you have the digital and analytical capabilities to adopt data-driven decision-making approaches?	-Yes -Partially -No	No data driven approach to business decision making	Data driven approach to support decision making fully implemented across all departments and at an organizational level	Please name the tools/solutions used and describe a sample case of when and how it has been in use to adopt data-driven decision-making and provide a screen sample of the tool/ solution

Data Analytics

#	Assessment Elements	Answer Options	What looks immature	What looks mature	Evidence Type
	Which of the following can the organization demonstrate the adoption of data analytics?	- Analytics is embedded within the departments' processes - Analytics constantly being used for the purpose of identifying and prioritizing improvement efforts - Staff are equipped to make data-informed decisions with a positive outcome compared to alternatives - None	Analytics is not a core part of the department processes, if at all	Analytics is a fundamental aspect of the departments' processes, equipping staff with the right data-driven evidence to support their decision-making abilities and in identifying improvement opportunities	Please provide a screen sample of the use of Analytics in one of the organization's departments
	Has the organization incorporated predictive analytics techniques into decision support?	-Yes -No	No use of predictive analytics techniques for decision making	Organization has incorporated predictive analytics techniques to support decision making at department and organization level	Please provide a screen sample of the use of predictive analytics
	which of the following applies for measuring data?	- Data collected across all channels and held in a single repository to provide a clear unified single picture of the patient which all relevant healthcare providers have access to - The ability to use good analytics tools for data mining and producing actionable intelligence do exists in your organization - There is Inconsistency in data measurement across all the patient touch points - There is a lack of integration of data so no single view of patient	Inconsistency in data measurement across all the patient touch points and/or lack of integration of data so no single view of patient	Data collected across all channels and held in a single repository (with ability to use good analytics tools for mining the data and producing actionable intelligence) to provide a clear unified single picture of the patient which all relevant healthcare providers have access to.	Please provide a screen sample of the selected options within the question
	Are data analysts aware of and can share the organization's analytics strategy?	- Yes, they are fully aware of the analytics strategy, its future outcome, and can clearly communicate it with the rest of the organization - No, Data analysts are not fully aware of the analytics strategy and it's fit with the organization's overall strategy	Data analysts are not fully aware of the analytics strategy and it's fit with the organization's overall strategy	Data analytics are fully aware of the analytics strategy and its future outcome, and can clearly communicate it with the rest of the organization	Please attach an email screen sample of sharing the data analytics strategy to the data analytics team
	Do analytics solution lifecycle Management skills, include; the ability to conceive, develop, and deploy an analytics solution; the ability to improve a solution over time; the ability to train staff to refine and improve data?	-Yes -Partially -No	The analytics solutions lifecycle maintenance skills incompetent to refine and improve data and insights	The analytics solutions lifecycle maintenance skills are well developed and are capable of conceiving, developing, and deploying an analytics solution, improve it over time, and train relevant staff.	Please describe an example of an analytics solution lifecycle used in your organization and attach or provide a screen sample the relevant tool used

10.	How do you analyse patient feedback to improve processes, products and services?	- Holistic measurement and analysis using specialist tools to collate and look for patterns in patient data and feedback, and using these to improve product/service/processes. - No analysis or understanding of patient consumption and no attempt to integrate into product and service design.	No analysis or understanding of patient consumption and no attempt to integrate into product and service design.	Holistic measurement and analysis using specialist tools to collate and look for patterns in patient data and feedback, and using these to improve product/service/processes.	Please provide a screen sample of the patient feedback analysis that gets conducted in your facility
11.	Are workers regularly trained to use data correctly?	-Yes -No	No trainings for workers to use data	Regular and continuously updated trainings conducted to help workers use data correctly	Please attach available training manual or content
12.	Do you have case studies to demonstrate the following:	- Clinical analytics capabilities for predictive analytics - Financial analytics capabilities for predictive analytics - Operational analytics capabilities for predictive analytics - Clinical findings/impacts as a result of analytics - Financial impacts as a result of analytics - Operational findings as a result of analytics - Use of predictive analytics relating to imaging - None of the above	No case studies to show the use of analytics for predictive analytics or to show the impact analytics has had.	Case studies show the use of analytics for predictive analytics or for positive impact	Provide attach the documented case studies of the selected options
13.	Do you use big data analytics to make medical imaging more valuable for patients (e.g. collaborations with other hospitals, clinical trials etc)?	-Yes -No	Big Data analytics is not used to make medical imaging more valuable for patients	Big data analytics used to make medical imaging more valuable for patients	Please provide a screen sample of the Data Model/ Dashboards used to utilize big data

Common Terminologies

#	Assessment Elements	Answer Options	What looks immature	What looks mature	Evidence Type
	Do you follow clinical data standards (Like ICD 10, SNOMED and ACHI)?	-ICD 10 -SNOMED CD -ACHI -GMDN -SFDA -None	No ICD 10 diagnosis code used, or diagnosis code list is obsolete	ICD 10 diagnosis code list is up to date	Please provide a screen sample that supports the use of the listed clinical data standards through the system or through the existing policies

Data Standards

#	Assessment Elements	Answer Options	What looks immature	What looks mature	Evidence Type
	Does the organization have a data governance policy that is well-defined, documented, implemented, and regularly reviewed?	-Yes -No	No data governance policy	Data governance policy is well defined, documented, implemented and regularly reviewed	Please attach the data governance policy

Data Storage and Retention

#	Assessment Elements	Answer Options	What looks immature	What looks mature	Evidence Type
16.	Do you have discharge summaries created in a structured digital format that is consistent across the organization?	-Yes -No	Discharge summaries are not created in a structured digital format	Discharge summaries are created in a structured digital format	Please attach a sample of the digital discharge summary
17.	Do health and care professionals use digital systems to record relevant patient and service user information at the point of collection?	-Yes -No	Unavailable	Health and care professionals use digital systems to record patient and service user information at the point of collection	Please provide a screen sample of the information recording at the point of collection through a digital system
	Are there well-defined metrics that give the organization's management early warning of data issues?	-Yes -No	No metrics or tools in place.	Use of metrics integrated into data definitions, clear metric reporting and use of dashboards for management.	Kindly attach or provide a screen sample of a sample of the metrics used
	Do you provide digital record access to caregivers at the point of need and as part of the day-to-day routine?	-Yes -No	Unavailable	Health and care professionals can easily access digital records whenever needed as part of their daily routines	Please provide a screen sample of the access given in the system
20.	Which of the following is true about how well data governed in your organization?	- Master Data Management is well documented and shows the proper data governance of the organization - Data is duplicated or not controlled, data entities exist in different forms and versions.	Data is duplicated or not controlled, data entities exist in different forms and versions.	Master Data Management is well documented and shows the proper data governance of the organization	Please attach the Master Data Management document or the data governance document
21.	Have the digital assets been defined and catalogued appropriately including understanding their source and how they are used and establishing quality requirements?	-Yes -No	No digital assets that have any intrinsic value.	Digital assets represent a high level of revenue and profitability to the business. Requirements of data are well understood and defined and appropriate controls and protection in place to protect those assets.	Please provide a sample of the asset catalogue
22.	Is data quality information actively monitored and fed back to teams within your organization?	- Yes, High-quality information is regularly monitored and fed back to different teams of the organization with accuracy, completeness, reliability, relevance, and timeliness - No, active monitoring of data quality	No active monitoring of data quality	High-quality information is regularly monitored and fed back to different teams within the organization with accuracy, completeness, reliability, relevance, and timeliness	Please attach a related data quality monitoring policy