Automated Nurse-To-Patient Allocation – Medanta The Medicity, Gurgaon

Nurse-patient assignment is a complex process repeated at the start of every shift.

Manual assignment risked dissatisfaction among nurses and inconsistent quality of care.

No unified view of nurse competency, patient acuity or staff availability across HRMS, EHIS and EMR.

Assignments were prone to bias, gaps in continuity of care and gender-matching lapses.

Medanta implemented NDRS (Nurse Duty Roster System), built by integrating three existing applications:

HRMS – nurse duty roster & attendance

EHIS – patient ID, bed/location allocation & nurse mapping

EMR – displays live nurse-patient assignment & captures TISS

Key capabilities:

• Assignment driven by TISS acuity score

• Assignment by nurse competency, skill grade (A/B/C/D) & experience

• Bias-free, rules-based allocation logic

• Continuity-of-care and female-nurse-to-female-patient rules

• Automatic exclusion of absent nurses from assignment

• Female staff assigned to Female patient instead of male staff

Phased rollout beginning with a pilot in June–July across two units – one critical care and one non-critical area.

Implementation highlights:

• EHIS ID generated for every nursing staff member before go-live

• Continuous training for in-charges, area managers and the nursing superintendent

• In-charges owned shift assignment; area managers handled manpower shortages

• Competency categorization (A/B/C/D) via clinical instructor assessment every 3 months

• Rules refined mid-pilot (e.g. female-to-female assignment) based on staff feedback

• Live dashboard in EMR: census, assignment status, unallocated nurses, over/under allocation

Fair, acuity- and competency-based nurse-patient assignment, replacing manual allocation

Improved patient safety through matching high-TISS-score patients with competent, experienced nurses

Better continuity of care and dignity-preserving assignment (female-to-female matching)

Reduced bias and improved fairness perceived by nursing staff

Real-time visibility into manpower utilization, absenteeism and over/under allocation

Structured data on nurse competency to guide training and staffing decisions

Improved job satisfaction and retention reported among nursing staff.

NABH Alignment:

Assignment matched to documented, reassessed nurse competency (HRM)

Acuity-based staffing enhances patient safety (COP, PSQ)

Auditable record of every shift’s nurse-patient assignment (MOI)

Objective, bias-free evidence supporting quality & HR audits

Integration of three existing hospital systems (HRMS, EHIS, EMR) instead of building a new platform from scratch

TISS (Therapeutic Intervention Scoring System) used as an objective acuity measure

Skill-matrix based competency categorization reassessed quarterly

Rule engine encoding safety and dignity considerations (continuity of care, gender-matching, absenteeism exclusion)

Challenges Addressed:

Integration complexity across three applications

Network connectivity in clinical areas

Staff training, logistics and inventory readiness

Sustained adoption requires dedicated nurse educators and continuous reminders to in-charges.

Cross-functional collaboration (in-charges, area managers, HR, IT, vendors, clinical instructors) is essential.

Regular staff feedback loops help refine rules-based assignment logic.

Replicable by integrating existing HRMS/EHR/duty-roster systems rather than building new ones.