Improving Business Performance Week 3 Discussion Colleagues 1 Maria

Improving Business Performance

Week 3 Discussion

Colleagues 1

Maria Espenida,

Detail and Dynamic Complexity in Inpatient Rehabilitation Facility

Background

Medicare (n.d.), covers patient-stay at inpatient rehabilitation facility who had at least 3 days stay in an inpatient hospital to be eligible for admission to rehabilitation facility.  Medicare covers for patients 65 yrs old and above, have end-stage renal disease or have been disabled for 2 years.

Under the Centers for Medicare & Medicaid Services (CMS, n.d.) quality reporting program, facilities submit data using standardized tools, and the information is reported to the public. The reporting system uses quality measure scores for facilities to report to CMS and CDC. Under the Improving Medicare Post-Acute Care Transformation (IMPACT) Act 2014, standardized measurement tools are used in post-acute care facilities. The aim of the IMPACT is to improve patient outcomes, coordination of care, data collection uniformity, improve discharge planning, and cost savings.

Payment system and Quality Reporting

Inpatient Rehabilitation Facilities (IRFs) include freestanding rehabilitation hospitals and rehabilitation units in acute care hospitals. Medicare provider payment systems (PPS) have classification system in IRFs: it requires that 60% of patients admitted to an IRF have one of 13 qualifying medical conditions, the admission functional status data, and age reported on the Inpatient Rehabilitation Facility Patient Assessment Instrument (Deutsch and Farrell, 2023). There is detail complexity in Medicare PPS for post-acute providers.

IRFs provide services for patients who need physical, occupational, speech therapy and nursing care. Patients must be able to tolerate and benefit from 15 hours of therapy a week. This is a complex problem that most of the time arises in IRFs. Not all patients can tolerate the 15 hours of therapy a week and this will be an example of a complex problem.

The 5 Whys (iSixSigma Editorial, n.d.)

Why? Medically, not all patients can tolerate the 15 hours of therapy a week. Why? These patients have other co-morbidities aside from the current reason of stay. Why? Not all patients have the same response to the same treatment. Example, a patient may incur injuries during confinement like a fall, pressure injury, or hospital acquired infection. This can affect the quality of the facility. Why? Programs in rehabilitation facilities are based on the disease they initially presented upon admission. Example a patient post hip replacement, may also has other diagnosis like Parkinson’s disease and dementia that needed specialized program due to high risk for falls and cognitive disability. The facility may have staffing issues and is not able to provide the quality of care. Why? Because the facility may only have specific number of staff per number of patients and not acuity.  Is there a training program and what is the competency level of the nursing staff in rehabilitation facility? Medicare determines the payments based on the case mix group and adjusted if the patient discharges to community or to other institutional settings like SNF or nursing home. Injuries like falls, pressure injuries and hospital acquired infection can affect the reimbursements as well. Making this system a dynamic complex scenario. Rehabilitation programs focus on the improvement in function of the patient and where the patient will be discharged. These results can greatly affect the quality reporting of the facility to CMS and Medicare reimbursement.

References

CMS. (n.d.). IMPACT Act of 2014 Data Standardization & Cross Setting Measures. Retrieved June 9, 2025 from 

to an external site.

Deutsch and Farrell. 2023. U.S. Medicare Provider Payment Systems for Post-Acute Care Providers. Reimbursement for Healthcare Services. Retrieved June 9, 2025 from 

to an external site.

iSixSigma Editorial. (n.d.). 
Determine the root cause: 5 whys. iSixSigma. 

to an external site.

Medicare. (n.d.). Inpatient Rehabilitation Care. Your Medicare Coverage. Retrieved June 9, 2025 from 

to an external site.

Senge, P. M. (2006). Shift of minds. In 
The fifth discipline: The art and practice of the learning organization (pp. 68–91). Doubleday.

Colleague 2

Kendrick Gardner.

Detail and Dynamic Complexity in Organizational Systems Performance

Overview of the Organizations

The first organization examined is a mid-sized risk management firm that specializes in helping clients mitigate financial, operational, and compliance risks. This firm adopts a transformational leadership style, promoting innovation and cross-functional collaboration. The second organization is Toyota, a global automobile manufacturer known for its lean production system and problem-solving methodologies such as the A3 report.

 

Detail Complexity and Dynamic Complexity

Senge (2006) differentiates between detail complexity, which arises from having many variables or components, and dynamic complexity, which involves situations where cause and effect are subtle, and the effects over time are not obvious. Both types of complexity influence systems performance in significant ways.

 

Risk Management Firm: Dynamic Complexity Example

At the risk management firm, dynamic complexity is evident in how cross-departmental collaboration influences client outcomes. For example, a delayed risk assessment in one department may lead to increased operational exposure for a client, the consequences of which may not appear until weeks later. The cause-and-effect relationship is delayed and obscured by the interactions between client expectations, regulatory timelines, and internal resource allocation. As Reeves et al. (2020) suggest, failure to identify and manage such dynamic complexity can lead to missed opportunities or unintended risks.

However, transformational leadership helps mitigate these effects by fostering shared vision and continuous learning (Senge, 2006), allowing teams to adapt more effectively to evolving conditions. Tools such as causal loop diagrams (Kim, n.d.) can help visualize feedback structures, improving decision-making in dynamic systems.

 

Toyota: Detail Complexity Example

Toyota demonstrates effective management of detail complexity through its lean problem-solving approaches. The A3 report, for instance, simplifies complex decision-making by standardizing how problems are documented and analyzed (Shook, 2009). When a production delay occurs due to equipment failure, the 5 Whys technique is applied to drill down to the root cause (iSixSigma Editorial, n.d.). Each of these details—from parts sourcing to mechanical calibration—is individually manageable but taken together they represent a web of interdependent elements.

This detail complexity is mitigated through Toyota’s disciplined systems thinking approach. As McGinn (2019) notes, unaddressed complexity can accumulate quietly, adding cost and inefficiency. Toyota’s proactive stance reduces this risk, although it requires continual training and vigilance to maintain consistency across teams and geographies.

 

Impact on System Performance

In both organizations, managing complexity directly impacts system performance. In the risk firm, failure to recognize dynamic complexity can lead to reactive strategies and reduced client satisfaction. In Toyota’s case, detail complexity, if unchecked, could result in quality lapses or inefficiencies. On the positive side, both organizations illustrate how clarity of structure, standardized processes, and systems thinking enable them to harness complexity as a source of competitive advantage (Martin, 2013; Senge, 2006).

 

References

· iSixSigma Editorial. (n.d.). Determine the root cause: 5 whys. iSixSigma. 

to an external site.

· Kim, D. (n.d.). Guidelines for drawing causal loop diagrams. The Systems Thinker. 

to an external site.

· Martin, R. L. (2013, September 6). Our self-inflicted complexity. Harvard Business Review Digital Articles, 1–4. 

to an external site.

· McGinn, D. (2019, January–February). The costs of complexity are hard to see. Har

· vard Business Review, 97(1), 56–59.

· Reeves, M., Levin, S., Fink, T., & Levina, A. (2020, January–February). Taming complexity. Harvard Business Review, 98(1), 112–121.

· Senge, P. M. (2006). Shift of minds. In The fifth discipline: The art and practice of the learning organization (pp. 68–91). Doubleday.

· Shook, J. (2009, Summer). Toyota’s secret: The A3 report. MIT Sloan Management Review, 50(4), 30–33.

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