Care Plan
The documented treatment plan for a patient including goals, interventions, responsible providers, and target outcomes for acute or chronic conditions.
Why This Object Matters for AI
AI care coordination and chronic disease management require explicit care plans to track adherence and recommend interventions; without them, AI cannot align to treatment goals.
Clinical Operations & Patient Care Capacity Profile
Typical CMC levels for clinical operations & patient care in Healthcare organizations.
CMC Dimension Scenarios
What each CMC level looks like specifically for Care Plan. Baseline level is highlighted.
Care plans do not exist in any documented form. The attending physician has a mental model of the treatment approach, but nothing is written down. When a covering physician takes over, they start from scratch — 'what are we doing for this patient?' is answered by reviewing orders and guessing at the intent behind them.
None — AI cannot coordinate care or track treatment adherence because no care plan exists in any system to reference.
Document care plans in any form — even a brief written note in the chart stating treatment goals, planned interventions, and responsible providers for each active problem.
Care plans exist as free-text notes in the chart — the physician writes 'Plan: continue antibiotics, PT consult, discharge when tolerating PO.' The format and detail vary by provider. Some care plans are a single sentence, others are a paragraph. There is no standard structure, and finding the current care plan means reading through recent progress notes looking for the plan section.
AI could extract care plan fragments from progress note plan sections using NLP, but inconsistent formats and varying levels of detail make reliable care plan reconstruction difficult. Goal tracking is impossible because goals are not explicitly documented.
Implement structured care plan documentation in the EHR — define templates with required fields for goals, interventions, responsible providers, and target dates that are maintained separately from progress notes.
Care plans are documented in structured EHR templates with defined sections for problems, goals, interventions, responsible providers, and target timelines. Every admitted patient has a care plan created at admission and updated at defined intervals. The care plan is a distinct document in the chart, not buried in progress notes. But the content within each section is still free-text narrative.
AI can locate and read care plans reliably from structured templates. Basic task tracking (has PT been consulted? has the dietician seen the patient?) is possible. Cannot track quantitative goal progress because goals are described in narrative rather than measurable terms.
Add structured, measurable elements to care plans — define goals with quantitative targets (ambulate 200 feet by day 3), link interventions to specific order sets, and code problems using standard clinical terminologies.
Care plans contain structured, measurable elements. Goals have quantitative targets and deadlines. Interventions link to specific orders and consults in the EHR. Problems are coded with ICD-10. A care coordinator can query 'show me all patients whose mobility goal is behind target' and get an actionable list because care plan elements are structured and queryable.
AI can track care plan adherence quantitatively — monitoring whether interventions are completed on schedule, whether goals are being met, and which patients are falling behind their care plan timeline. Automated discharge readiness scoring is possible.
Implement formal care plan schemas with entity relationships — link each goal to the clinical evidence supporting it, connect interventions to outcome measures, and encode care team assignments with escalation pathways.
Care plans are schema-driven with formal entity relationships. Each goal links to supporting clinical evidence and outcome measures. Interventions connect to clinical guidelines and best practice protocols. Care team assignments include defined roles, escalation pathways, and handoff triggers. An AI agent can evaluate whether a care plan follows evidence-based guidelines and identify deviations.
AI can evaluate care plan quality against clinical guidelines, recommend evidence-based interventions, and autonomously generate care plan components for well-defined clinical pathways. Care coordination task assignment can be automated based on care plan logic.
Implement real-time dynamic care plans that auto-update based on clinical events — when a lab result changes, the care plan adjusts goals and interventions automatically, evolving with the patient's clinical trajectory.
Care plans are living documents that evolve in real-time with the patient's clinical trajectory. When a lab result indicates improvement, goals auto-advance. When a complication occurs, new interventions are proposed and care team assignments shift. The care plan is not a static document reviewed periodically — it is a continuously adapting clinical roadmap that reflects the patient's current state and projected trajectory.
Can autonomously maintain and evolve care plans in real-time, adjusting goals, proposing interventions, and coordinating care team activities based on continuous clinical context analysis.
Ceiling of the CMC framework for this dimension.
Other Objects in Clinical Operations & Patient Care
Related business objects in the same function area.
Patient Record
EntityThe comprehensive longitudinal record of a patient's medical history, diagnoses, treatments, allergies, medications, and care episodes maintained by the healthcare organization.
Clinical Note
EntityThe structured or unstructured documentation of a patient encounter including SOAP notes, H&P, progress notes, and discharge summaries created by clinicians.
Medical Image
EntityThe DICOM-formatted radiology images (X-ray, CT, MRI, ultrasound) with associated metadata including patient context, prior imaging, and clinical indication.
Vital Signs Record
EntityThe timestamped measurements of patient physiological parameters including heart rate, blood pressure, respiratory rate, temperature, and oxygen saturation.
Medication Order
EntityThe prescriber's documented instruction for a medication including drug, dose, route, frequency, duration, and clinical indication tied to a specific patient.
Laboratory Result
EntityThe structured output of clinical laboratory tests including values, reference ranges, abnormal flags, and collection timestamps for blood, urine, and other specimens.
Clinical Protocol
RuleThe standardized clinical pathway or evidence-based protocol defining appropriate care steps, decision points, and interventions for specific conditions or procedures.
Surgical Case Record
EntityThe comprehensive record of a surgical procedure including preoperative assessment, operative notes, anesthesia record, complications, and post-operative orders.
Clinical Workflow Template
EntityThe defined sequence of clinical tasks, handoffs, and decision points for specific care settings including ED throughput, OR turnover, and inpatient discharge.
Remote Monitoring Data Stream
EntityThe continuous or periodic data from remote patient monitoring devices including wearables, home sensors, and connected medical devices transmitted to the care team.
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