The operating system for the hospital.
Pensieve runs the clinical and operational work of a hospital on one governed record.
- Hospitals of every size
- All the specialties
- Every department
- One governed record
Who runs on Pensieve
Hospitals of every size, and the whole of the work inside them.
A single-doctor clinic, a nursing home, a specialty hospital, a multi-speciality hospital, a group of them, a state health system, a laboratory network. Every specialty each of them practises, and every department each of them runs.
The unit Pensieve is built around is the visit. A patient is registered, something is ordered, something is done, something is charged, and something is claimed. That sequence holds its shape in a twelve-bed nursing home and in a six-hundred-bed group, and what separates the two is volume and governance rather than structure.
So there is one platform under all of it: one patient record, one order path, one authorization check, one audit trail. What changes with size is how much of the platform is turned on, and how the governance around it is drawn.
Architecture
One path to the record
By size
Read the one that is yours
Two hundred beds and above
Integration risk decides this purchase and the accreditation file decides the year after it. Pensieve connects to the RIS-PACS, the analysers, the accounting system and the registries you already own, over one outbound connection, so the systems you cannot replace keep running. Vigil holds accreditation evidence as the hospital generates it: incidents through to resolution, committee minutes and action items, training and credential records, internal audits against the standard, policy acknowledgements, risk registers and equipment schedules. The quality cell, the IT head and the finance head read one record between them.
Fifty to two hundred beds
One clinical event, every payer. A chargeable order placed in Forge raises its charge in Vault the moment it is fulfilled, and Vault carries the deposit, the payer-specific price, the tax and discount rules, the claim and the schemes, so the insurance desk works from one bill instead of a desk per payer. Cadence models the approval steps you already run and flags one when it goes overdue, and Glyph carries your existing forms across with their validations intact. Go-live moves the way you work rather than replacing it.
Under fifty beds
Close the distance between what was done and what was billed. The charge is raised where the order is fulfilled, so consumables, pharmacy issues and procedures reach the bill without a second entry, and Vault can hold a discharge until the account is settled. Falcon reads revenue, patient flow and delays out of what the tools already recorded, and shows where each number came from, so the owner-doctor who does the ward round can also see the month.
Outpatient only
Keep the consultation the length it already is. Gate opens the visit and hands the patient to the record, the order list and the bill in the same movement, and Glyph auto-fills what the hospital already knows, so a detail is typed once at the desk. The doctor sees a record and an order list. Underneath them is the platform the six-hundred-bed group runs.
By size
The same core at every size
Above a single facility
Groups, states and laboratories
A group of hospitals
Run the group as one tenant with one record across every site. Nexus Manager holds the digital twin of the hospital: its wards and rooms, its teams, its physical resources, its services and its duty rosters, and it holds one of those per site inside the same tenant. Each site keeps its own structure, its own roster and its own registers. The group reads across all of them. That is what federated means here: authority stays where the licence and the medical superintendent are, and the group view is composed from the sites rather than copied out of them.
A state health system
A department buying for a network of facilities is measured on a scheme and on an audit, and is answerable for the data long after the contract. Governance is the mechanism, and it is specific: Cirith Manager decides for every single action in the platform whether a given person may take it, lets an administrator see exactly who holds access to a patient record today, look up everything one staff member can reach, and simulate a permission change before making it. Emergency access has its own path and every use of it is logged. Export speaks HL7 v2, FHIR R4 and DICOM, so the exit is a mechanism rather than an assurance.
A laboratory network
A laboratory sells its capacity to hospitals outside its own walls, and lives on turnaround and on the order arriving intact. Forge routes lab and imaging orders out to outside systems, and Westron manages the connection, the credentials and the translation between your format and theirs, watches the incoming traffic for problems, and keeps a forensic trail of every exchange.
Federation
Federated sites, one governed record
Coverage
What we solve
The work a hospital does, in six groups, and the point at which a patchwork breaks each one.
- Clinical coreRecords, admissions, and the inpatient, outpatient, and emergency journeys: the care itself.
- Clinical ordersOrdering, prescribing, and the decision support that runs at the point of the order.
- Platform administrationThe structure a hospital runs on: sites, staff, and the forms clinicians build themselves.
- Platform reference & toolsScheduling and the shared reference data (terminology and coding) every tool reads from.
- IntelligenceTurning the data every tool captures into metrics, live signals, and alerts.
- ConnectivityConnecting to the machines you already run, and to the patient's own side.
We start with what you already have
Every engagement begins with your systems, your machines and the way the hospital works today. We learn where the work actually breaks before we propose anything. Once that is understood, the deployment is a planned, mechanical exercise.
Pensieve connects to the RIS-PACS, the analysers, the accounting system and the registries you already own, over one outbound connection. If it cannot run extremely well alongside what you already have, there is no reason for you to deploy it.
For the connector list, the field maps and the interface reference, see docs.
Evidence
What the research says
Across four specialties, physicians spent 49.2 percent of the office day on the record and desk work, and 27.0 percent in direct time with patients. Source 1
In the trial that established computerised order entry, serious medication errors that reached the patient fell by 55 percent. Source 2
A National Academies review concluded that most people will experience at least one diagnostic error in their lifetime, and named information that fails to reach the decision as a recurring contributor. Source 3
Across 73 studies, direct communication between hospital and primary care physicians occurred in 3 to 20 percent of cases, and a discharge summary was available at the first follow-up visit 12 to 34 percent of the time. Source 4
After nine hospitals put the handover between clinical teams into one structured form, medical errors fell 23 percent and preventable adverse events fell 30 percent across 10,740 admissions. Source 5
At eight hospitals across eight countries, deaths fell from 1.5 percent to 0.8 percent and inpatient complications from 11.0 percent to 7.0 percent after the surgical team began briefing off one checklist. Source 6
Under a state mandate that put emergency sepsis care on one clock, each additional hour taken to complete the three-hour bundle carried higher risk-adjusted in-hospital mortality, at an odds ratio of 1.04 per hour across 49,331 patients at 149 hospitals. Source 7
India performed 8,344,824 cataract operations in 2022-23, against a national target of 7,500,000. Source 8
The national dialysis programme reports 1,889 centres across 759 districts, 262,444 patients, and more than 14.4 million haemodialysis sessions delivered. Source 9
India's national auditor found 749,820 scheme beneficiaries registered against one mobile number, and 78,396 instances of a single patient recorded as admitted to more than one hospital at the same time. Source 10
In a 2025 study of the national and state assurance schemes in Maharashtra, settlement ran from three months to a year against a thirty day guideline, with individual hospitals carrying two to three crore rupees pending. Source 11
In a prospective study of errors in a hospital stat laboratory, 68.2 percent arose before the sample reached the analyser and a further 18.5 percent after the result left it. Source 12
A review of radiological error puts the day to day discrepancy rate between reporting radiologists at 3 to 5 percent, and treats failure to communicate a finding as its own category of harm. Source 13
The World Health Organization puts the global cost of medication error at US$42 billion a year and names prescribing, dispensing, administration and monitoring as the four points at which it enters. Source 14
A systematic review found health care associated infection affecting 15.5 patients per 100 admitted in developing countries, against 7.6 per 100 in Europe. Source 15
Across 23 acute care hospitals, 48 percent of the surfaces designated for cleaning between patients had in fact been cleaned. Source 16
A review of hospital malnutrition puts its prevalence at 20 to 50 percent of patients on admission and reports that it frequently goes unscreened and unrecorded. Source 17
WHO guidance on medical equipment maintenance treats a current and complete inventory as the precondition for the programme, because inspection, preventive maintenance, staffing and budget are all sized from it. Source 18
A systematic review associated emergency department crowding with higher inpatient mortality, longer time to treatment for time critical conditions, and more patients leaving before being seen. Source 19
A review of neonatal intensive care found medication errors more frequent than in adult inpatient settings, with dosing the largest single category. Source 20
A review of monitor alarms reports that between 72 and 99 percent are false, and treats the desensitisation that follows as a patient safety hazard in its own right. Source 21
The United Kingdom's haemovigilance scheme reports that most transfusion incidents are errors in the process rather than reactions to the component, concentrated at the points where the patient is identified. Source 22
India's national health authority pays an approved hospital 10 percent above the base package rate while it holds entry level accreditation, and 15 percent while it holds full accreditation. Source 23
India's National Health Accounts put household out-of-pocket spending at 39.4 percent of total health expenditure in 2021-22, down from 64.2 percent in 2013-14. Source 24
Under India's Digital Health Incentive Scheme a registered facility earns 20 rupees for each digitised record it links, above a threshold of 100 transactions a month. Source 25
Across 300 hospitals in nine European countries, each additional patient added to a nurse’s workload was associated with a 7 percent increase in the odds of an inpatient dying within thirty days of admission. Source 26
In a registry of more than 370,000 stroke arrivals, patients whose ambulance crew notified the hospital before arrival were treated measurably faster at every step from door to needle. Source 27
In a randomised trial, starting physical and occupational therapy while patients were still on the ventilator returned 59 percent of them to independent function at discharge against 35 percent under usual care. Source 28
A pharmacy store audit at an Indian national institute found that roughly 70 percent of the annual drug budget sat in about 10 percent of the items on the shelf. Source 29
India had about 2,150 accredited medical testing laboratories as of February 2024. Source 30
A national study of hospitals performing primary angioplasty identified six specific process changes, among them activation of the catheterisation laboratory by the emergency physician, each independently associated with a significantly shorter door to balloon time. Source 31
Median door to balloon time in the United States fell from 96 minutes in 2005 to 64 minutes in 2010, and the share of patients treated within 90 minutes rose from 44.2 percent to 91.4 percent. Source 32
Across primary angioplasty admissions at 423 hospitals, a shorter door to balloon time was associated with lower in hospital mortality within each year studied. Source 33
Across 19 hospitals running an automated deterioration alert with a defined clinical response, patients who reached the alert threshold had lower mortality within 30 days than comparable patients before deployment, at an adjusted relative risk of 0.84. Source 34
Caesarean section use nearly doubled worldwide between 2000 and 2015, from 12.1 percent to 21.1 percent of births, with the widest disparities inside countries rather than between them. Source 35
Hospitals in a state perinatal quality collaborative that adopted a standard obstetric haemorrhage protocol reduced severe maternal morbidity among haemorrhage patients by 20.8 percent, against 1.2 percent at comparison hospitals over the same period. Source 36
In an electronic record that raised an automated alert on an abnormal imaging result, 7.7 percent of alerts were never acknowledged and 4.0 percent of the abnormal results still lacked timely follow up four weeks later. Source 37
Diagnostic error was estimated to affect about 5.08 percent of United States adults each year, approximately 12 million people, with about half of those errors carrying the potential for severe harm. Source 38
In a randomised trial of routine symptom reporting during chemotherapy, median overall survival was 31.2 months with monitoring against 26.0 months under usual care. Source 39
After multidisciplinary team working was introduced across a health region, breast cancer mortality at five years was 18 percent lower than in comparison regions, across 13,722 women. Source 40
Across fourteen cardiovascular and cancer operations, adjusted mortality was lower at higher volume hospitals for every one of them, with the absolute difference running from just over 0.2 percent to more than 12 percent depending on the procedure. Source 41
The Global Task Force on Radiotherapy for Cancer Control estimated that scaling up radiotherapy capacity in low and middle income countries by 2035 would save 26.9 million life years over the lifetimes of the patients treated. Source 42
A study that quantified individual quality control checks in radiation oncology found wide variation in how many errors each check caught, with physics review of the plan and the chart among the most effective. Source 43
Among patients sent home from an emergency department, the risk of death or admission within seven days rose steadily with the mean length of stay of the department they were seen in. Source 44
In an external validation at one academic health system, a widely implemented proprietary sepsis prediction model discriminated at an area under the curve of 0.63 and identified 33 percent of the patients who had sepsis. Source 45
An algorithm applied to roughly 200 million people a year used health cost as a proxy for health need, and correcting that label rather than the algorithm raised the share of Black patients identified for additional care from 17.7 percent to 46.5 percent. Source 46
Across eleven clinics, a screening system whose reported laboratory accuracy was above 90 percent rejected 21 percent of the images submitted to it as too low in quality to process. Source 47
Of 521 regulator-authorised artificial intelligence enabled medical devices reviewed, 226 had no published clinical validation data. Source 48
Among United States hospitals running predictive models inside the electronic record, 61 percent evaluated most or all of those models locally for accuracy and 44 percent evaluated them for bias. Source 49
Among 53 practitioners building high-stakes machine learning systems in India, East and West Africa and the United States, 92 percent reported at least one data cascade: a downstream failure whose origin was in the data rather than in the model. Source 50
A clinical review names dataset shift, the divergence between the data a model was trained on and the data it later meets, as a major driver of artificial intelligence system malfunction, and directs clinicians to establish monitoring and updating protocols. Source 51
An independent patient safety organisation ranked risks with artificial intelligence enabled health technologies first on its 2025 list of the top ten health technology hazards. Source 52
In a sixteen country survey, 76 percent of Indian healthcare professionals said artificial intelligence could improve patient outcomes, and 40 percent said the tools available to them fit their day-to-day clinical needs. Source 53
These are findings from published research on hospitals and their systems. None of them is a Pensieve outcome. Every hospital running Pensieve is under a confidentiality agreement, so we publish no outcome statistic of our own and say so plainly.
Everyone ends at the Trust Center
Whatever size you are, the evaluation finishes in the same room.
Every serious evaluation of Pensieve arrives at the Trust Center. It publishes the Security Addendum, the Data Residency Statement, the Vulnerability Disclosure Policy and the Encryption Disclosure, each carrying a version, a publication date and a verifiable hash, so you can confirm you are reading the exact text we committed.
A procurement officer opens it for data ownership and exit terms. A group CIO opens it for residency and breach posture. An owner-doctor with twenty beds opens it for the same documents and reads the same version of them. The governance is one size.
Read them before you talk to us.