The Automated Execution Layer for Care Gap Closure

For Health Plans & Provider Networks

Discover, track, and close care gaps via automated conversational outreach to patients and clinics.

Safeguard Member Health
Protect Stars & Quality Performance
Reduce Readmissions
Lower Clinical Risk
Clinical Risk Assessment
Clinical Summary

67-year-old female with history of recurrent urinary tract infections, Stage 2 CKD, and hypertension, discharged 8 days ago on ciprofloxacin for sepsis due to antibiotic-resistant UTI.

Risk

Antibiotic course non-completion leading to readmission.

Signal
  • Discharged for sepsis
  • History of medication non-adherence
SepsisNon-adherence
Outreach

Launched Medication Adherence Agent

Voice outreach completed

Transcript Available

Status

Closed · Patient verified antibiotic completion

The Costs When Patients Fall Through the Cracks

$34B

Preventable Hospital Admissions

3.5M

Preventable Inpatient Stays

27.1%

Readmissions that are Preventable

$100B

Direct Costs Attributable to Non-Adherence

Streamline Discovery, Outreach, & Resolution

Proactive, Personalized, Parallelized Outreach to Close Care Gaps

Status Quo

Overwhelmed Care Teams
Barriers to Care
Adherence & Changes at Home
Fragmented Context Across System
Manual Outreach Limitations
Documentation Burden
Process Health
Catch Missed Outcome-Modifying Interventions
Conversational Patient Outreach, Barrier Anticipation
Agent-Driven Check-Ins
Streamlined Multi-Sourced Timeline
Parallelized Agent-Based Outreach. Automated Retries & Modality Switching.
Conversation & Response Transcripts

Discover and close more care gaps

See It in Action

Safeguard Patients & Transform Outreach

Streamlined Cohesive Timelines. Parallelized Outreach. Automated Retries.

Legacy Workflows

Inefficient & Limited-Impact

Data HuntingCall Patient
20%
Reachable on First Attempt
60%
Time Spent Aggregating Data
Process Health

Streamlined, Parallelized, Automated Outreach.

Conversational AI Agents
Voice Agent
SMS
Secure Web Link
Clinic Fax

Ready-to-Use & Buildable Workflows

Design, deploy, and iterate on care gap workflows without writing a single line of code.

Easy-To-Use Builder
Off-The-Shelf Workflows
Event- and Time-Based Triggers
Build Using Natural Language
Multiple Data Feeds
Source & Quality Visibility
Evidence & Auditability

Fusion Across Data Sources

A unified narrative for action—built for operational workflows.

Process Health integrates disparate data streams into a single, coherent member timeline that care teams can act on immediately. No more switching between systems or piecing together fragmented information.

CM/UM Platforms

EHR Notes & Results

Claims Data

Patient Responses

Scanned Documents

HIE/TEFCA Networks

Unified Member Timeline

+ Gap Closure Worklist

All data sources converge into a single, action-ready view that supports immediate decision-making and coordinated care delivery.

Unlock Scalable Proactive Interventions

Safeguard patients through population scale risk detection and closure.

Safeguard Member Health

Improve completion of high-value interventions and follow-ups.

Protect Stars & Quality

Support measure closure with consistent evidence capture and auditability.

Reduce Readmissions

Strengthen transitions-of-care follow-through and early issue detection.

Lower Clinical Risk

Escalate actionable responses and close documentation gaps.

About the Founder

Nicholas Sterling, M.D., Ph.D., M.S. - Founder & CEO of Process Health

Founder & CEO

Nicholas Sterling, M.D., Ph.D., M.S.

Nicholas Sterling is the Founder & CEO of Process Health and is a board-certified emergency physician (ABEM). He trained through the Penn State MSTP and CTSI programs, earning his M.D., Ph.D. in Biomedical Sciences, and M.S. in Public Health Sciences. At Emory University, he completed his Emergency Medicine residency, taking care of patients primarily at one of the highest-acuity hospitals in the U.S.

Dr. Sterling has served in machine learning and medical leadership roles, including CMIO, at a healthcare technology company supporting millions of patient encounters, leading the design, validation, and safe deployment of AI systems used in real-world care. His work has spanned patient-facing communications and clinically-focused systems for sepsis and detection of potentially cancerous lesions.

With 15+ years working in high-dimensional data, 10+ in machine learning, and 20+ in software development, Dr. Sterling also advises startups and investment teams on technical and AI for healthcare ventures. He has authored 23 peer-reviewed scientific publications and holds a patent in computer vision, with an additional patent pending.

23

Publications

20+

Years in Software

10+

Years in ML/AI

See Process Health in Action

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